Results for 'cloud security policies'

987 found
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  1. AI-POWERED THREAT INTELLIGENCE FOR PROACTIVE SECURITY MONITORING IN CLOUD INFRASTRUCTURES.Tummalachervu Chaitanya Kanth - 2024 - Journal of Science Technology and Research (JSTAR) 5 (1):76-83.
    Cloud computing has become an essential component of enterprises and organizations globally in the current era of digital technology. The cloud has a multitude of advantages, including scalability, flexibility, and cost-effectiveness, rendering it an appealing choice for data storage and processing. The increasing storage of sensitive information in cloud environments has raised significant concerns over the security of such systems. The frequency of cyber threats and attacks specifically aimed at cloud infrastructure has been increasing, presenting (...)
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  2.  19
    Policy Center to the Cloud: An Analysis of AWS and Snowflake’s Role in Cloud-Based Policy Management Solutions.Adavelli Sateesh Reddy - 2021 - Esp Journal of Engineering and Technology Advancements 1 (1):253-261.
    Organizations are migrating their policy management systems from the ground to the cloud, changing how they manage, secure and scale their operations. This paper analyses how Amazon Web Services (AWS) and Snowflake support robust and efficient cloud-based policy management solutions. This marriage of sort of AWS, which has an almost panoply of cloud services, and Snowflake, which is very well known for its data warehousing and analytics capabilities, makes sense because it is an enterprise in which you (...)
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  3.  22
    MULTI-CLOUD ENVIRONMENTS: MITIGATING SECURITY RISKS IN DISTRIBUTED ARCHITECTURES.Sharma Sidharth - 2021 - Journal of Artificial Intelligence and Cyber Security (Jaics) 5.
    The adoption of multi-cloud environments has become a strategic necessity for organizations seeking scalability, flexibility, and operational efficiency. However, distributing workloads across multiple cloud providers introduces significant security challenges, including authentication vulnerabilities, inconsistent security policies, data breaches, and compliance risks. Traditional security approaches often fail to address the complexity of multi-cloud ecosystems, requiring a more comprehensive risk mitigation strategy. This paper analyses key security risks in multi-cloud architectures and evaluates industry-standard risk (...)
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  4.  25
    SECURING CLOUD-NATIVE MICROSERVICES WITH SERVICE MESH TECHNOLOGIES.Sharma Sidharth - 2019 - Journal of Theoretical and Computationsl Advances in Scientific Research (Jtcasr) 3 (1):1-6.
    As cloud-native architectures continue to evolve, microservices have become the foundation for scalable and resilient applications. However, the decentralized nature of microservices introduces significant security challenges, including service-to-service communication security, identity management, and traffic control. Service mesh technologies, such as Istio, Linkerd, and Consul, provide a powerful solution by offering decentralized security enforcement, mutual TLS (mTLS) encryption, fine-grained access control, and observability without modifying application code. This paper explores how service meshes enhance microservices security by (...)
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  5. EFFICIENT STRATEGIES FOR SEAMLESS CLOUD MIGRATIONS USING ADVANCED DEPLOYMENT AUTOMATIONS.Tummalachervu Chaitanya Kanth - 2023 - Journal of Science Technology and Research (JSTAR) 4 (1):61-70.
    The increasing complexity and scale of modern computing needs have led to the development and adoption of cloud computing as a ubiquitous paradigm for data storage and processing. The hybrid cloud model, which combines both public and private cloud infrastructures, has been particularly appealing to organizations that require both the scalability offered by public clouds and the security features of private clouds. Various strategies for configuring and managing resources have been developed to optimize the hybrid (...) environment. These strategies aim to balance conflicting objectives such as cost-efficiency, performance optimization, security, and compliance with regulatory standards. This exploratory research focused on evaluating the efficiency and limitations of different configuration strategies in hybrid cloud environments. Findings indicate that each approach presents distinct advantages. Improving resource utilization and automating governance processes are significant advantages of Policy-based Resource Management, which leads to costeffectiveness. Intelligent routing of traffic is a feature of Cross-cloud Load Balancing, resulting in optimized performance and higher service availability. By centralizing control, the Hybrid Cloud Service Mesh allows for secure and streamlined cross-service communication. A notable feature of Cross-cloud Container Orchestration is its ability to simplify the migration of applications across diverse cloud environments. For immediate threat detection and regulatory compliance, real-time monitoring is facilitated by Log Management and Analytics. However, Policy-based Resource Management can be complex and inflexible. Extra costs for data transfer between different cloud providers are a drawback of Crosscloud Load Balancing. Additional network hops create latency issues in Hybrid Cloud Service Mesh configurations. If configured incorrectly, Cross-cloud Container Orchestration could expose the system to security risks. Finally, Log Management and Analytics require both ample storage and advanced analytical capabilities. (shrink)
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  6. Offline privacy preserving proxy re-encryption in mobile cloud computing.Yaping Lin & Voundi Koe Arthur Sandor - 2019 - Pervasive and Mobile Computing 59.
    This paper addresses the always online behavior of the data owner in proxy re- encryption schemes for re-encryption keys issuing. We extend and adapt multi-authority ciphertext policy attribute based encryption techniques to type-based proxy re-encryption to build our solution. As a result, user authentication and user authorization are moved to the cloud server which does not require further interaction with the data owner, data owner and data users identities are hidden from the cloud server, and re-encryption keys are (...)
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  7.  51
    Integrating Ensemble _Deep Learning Models for Cybersecurity in Cloud Network Forensics (12th edition).B. Menaka Dr S. Arulselvarani, - 2024 - International Journal of Multidisciplinary and Scientific Emerging Research 12 (4):2653-2606. Translated by Dr. S. Arulselvarani.
    To evaluate the effectiveness of our approach to enhancing cloud computing network forensics by integrating deep learning techniques with cybersecurity policies. With the increasing complexity and volume of cyber threats targeting cloud environments, traditional forensic methods are becoming inadequate. Deep learning techniques offer promising solutions for analyzing vast amounts of network data and detecting anomalies indicative of security breaches. By integrating deep learning models with cybersecurity policies, organizations can achieve enhanced threat detection, rapid response times, (...)
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  8. Robust Multiple Authority and Attribute Based Encryption for Access Control in Cloud Computing.P. S. Mona & M. Dhande ProfNutan - 2018 - International Journal on Recent and Innovation Trends in Computing and Communication 6 (3).
    Data access control is a challenging issue in public cloud storage systems. Ciphertext-Policy Attribute-Based Encryption (CP-ABE) has been adopted as a promising technique to provide flexible, fine-grained and secure data access control for cloud storage with honest-but- curious cloud servers. However, in the existing CP-ABE schemes, the single attribute authority must execute the time-consuming user legitimacy verification and secret key distribution, and hence it results in a single-point performance bottleneck when a CP-ABE scheme is adopted in a (...)
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  9.  24
    Future Proofing Insurance Operations: A Guidewire-Centric Approach to Cloud, Cybersecurity, and Generative AI.Adavelli Sateesh Reddy - 2023 - International Journal of Computer Science and Information Technology Research 4 (2):29-52.
    By integration with cloud computing, cybersecurity and generative AI, the insurance industry is being transformed from high efficiency, low cost, and better customer service. However, these advanced technologies can also be used by insurers to automate and streamline processes like claims handling, underwriting, and policy generation, which are majorly time consuming and error prone. In predictive analytics, fraud detection, and personalized customer experience, generative AI makes it possible for insurers to mitigate risks and, at the same time, provide more (...)
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  10.  24
    Building Resilient Digital Insurance Ecosystems: Guidewire, Cloud, And Cybersecurity Strategies.Adavelli Sateesh Reddy - 2022 - Esp Journal of Engineering and Technology Advancements 2 (3):140-153.
    Through a combination of Guidewire platforms, cloud computing and cybersecurity frameworks, the insurance industry in miniature is being transformed into a digitally transformed, ever resilient ecosystem. This ecosystem enables insurers to modernize core operations of policy management, claims processing and billing while continuing to provide secure, scalable and efficient service delivery. Insurers using cloud infrastructure have elastic resources capable of scaling to meet dynamic workloads and can provide high availability and fast disaster recovery. They have liberated data analytics (...)
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  11.  23
    Network Segmentation and MicroSegmentation: Reducing Attack Surfaces in Modern Enterprise Security.Bellamkonda Srikanth - 2020 - International Journal of Innovative Research in Computer and Communication Engineering 8 (6):2499-2507.
    In the modern enterprise environment, where cybersecurity threats continue to evolve in complexity and sophistication, network segmentation and micro-segmentation have emerged as critical strategies for mitigating risks and reducing attack surfaces. This research paper explores the principles, implementation, and benefits of network segmentation and micro-segmentation as essential components of a comprehensive cybersecurity framework. By dividing networks into smaller, isolated segments, these methodologies aim to limit unauthorized access, minimize lateral movement, and contain potential breaches, ensuring a more secure network infrastructure. Network (...)
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  12. OPTIMIZED CLOUD SECURE STORAGE: A FRAMEWORK FOR DATA ENCRYPTION, DECRYPTION, AND DISPERSION.S. Yoheswari - 2024 - Journal of Science Technology and Research (JSTAR) 5 (1):415-426.
    The exponential growth of cloud storage has necessitated advanced security measures to protect sensitive data from unauthorized access. Traditional encryption methods provide a layer of security, but they often lack the robustness needed to address emerging threats. This paper introduces an optimized framework for secure cloud storage that integrates data encryption, decryption, and dispersion using cutting-edge optimization techniques. The proposed model enhances data security by first encrypting the data, then dispersing it across multiple cloud (...)
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  13.  35
    Enhancing Cloud Security with AI-Based Intrusion Detection Systems.Sharma Sidharth - 2024 - Journal of Science Technology and Research (JSTAR) 5 (1):658-664.
    Cloud computing has transformed data management by providing scalable and on-demand services, but its open and shared infrastructure makes it highly vulnerable to sophisticated cyber threats. Traditional Intrusion Detection Systems (IDS) struggle with dynamic and large-scale cloud environments due to high false positives, limited adaptability, and computational overhead. To address these challenges, this paper proposes an AI-driven Intrusion Detection System (AI-IDS) that leverages deep learning models, including Convolutional Neural Networks (CNN) and Long Short-Term Memory (LSTM) networks, to analyze (...)
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  14. Secure Cloud Storage with Machine Learning-Optimized Attribute-Based Access Control Protocols.P. Selvaprasanth - 2024 - Journal of Science Technology and Research (JSTAR) 5 (1):420-435.
    This study examines how ABKS might optimize search efficiency and data security in cloud storage systems. We examine index compression, query processing improvement, and encryption optimization to decrease computational cost and preserve security. After a thorough investigation, the article shows how these methods may boost cloud storage system performance, security, and usability. Tests show that improved ABKS speeds up search searches and lowers storage costs, making it a viable cloud storage alternative. Exploring sophisticated machine (...)
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  15. Cloud-Based Secure Storage: A Framework for Efficient Encryption, Decryption, and Data Dispersion.M. Arul Selvan - 2024 - Journal of Science Technology and Research (JSTAR) 5 (1):427-434.
    The exponential growth of cloud storage has necessitated advanced security measures to protect sensitive data from unauthorized access. Traditional encryption methods provide a layer of security, but they often lack the robustness needed to address emerging threats. This paper introduces an optimized framework for secure cloud storage that integrates data encryption, decryption, and dispersion using cutting-edge optimization techniques. The proposed model enhances data security by first encrypting the data, then dispersing it across multiple cloud (...)
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  16.  21
    Cybersecurity Frameworks in Guidewire Environments: Building Resilience in the Face of Evolving Threats.Ravi Teja Madhala Sateesh Reddy Adavelli - 2021 - International Journal of Innovative Research in Science, Engineering and Technology 10 (8):12040-12049.
    The digitization process has brought new opportunities in insurance industry operations and innovations but has also revealed major weaknesses. Since more and more actual insurers use Guidewire to handle claims, policies, and customer data, insurers become targets for cyber threats that target valuable information. The framework of Guidewire, along with cloud computing integrated API and third-party tools, is laden with numerous exposure points. These security gaps are utilized to execute phishing, spread malware and gain unauthorized access to (...)
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  17. Cloud Data Security Using Elliptic Curve Cryptography.Arockia Panimalars, N. Dharani, R. Aiswarya & Pavithra Shailesh - 2017 - International Research Journal of Engineering and Technology 9 (4).
    Data security is, protecting data from ill- conceived get to, utilize, introduction, intrusion, change, examination, recording or destruction. Cloud computing is a sort of Internet-based computing that grants conjoint PC handling resources and information to PCs what's more, different gadgets according to necessity. It is a model that empowers universal, on-request access to a mutual pool of configurable computing resources. At present, security has been viewed as one of the best issues in the improvement of Cloud (...)
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  18.  96
    Enhanced Secure Cloud Storage: An Integrated Framework for Data Encryption and Distribution.M. Arulselvan - 2024 - Journal of Science Technology and Research (JSTAR) 5 (1):416-427.
    Traditional encryption methods provide a layer of security, but they often lack the robustness needed to address emerging threats. This paper introduces an optimized framework for secure cloud storage that integrates data encryption, decryption, and dispersion using cutting-edge optimization techniques. The proposed model enhances data security by first encrypting the data, then dispersing it across multiple cloud servers, ensuring that no single server holds the complete dataset. Decryption occurs only when the dispersed data fragments are reassembled, (...)
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  19.  15
    Cloud Architecture Design Patterns: Best Practices for Scalable and Secure Systems.Nivisha Govindaraj Ram Nivas Duraisamy - 2025 - International Journal of Multidisciplinary Research in Science, Engineering, Technology and Management 12 (3):691-697.
    Cloud computing has transformed how businesses design, deploy, and manage applications. With its ability to provide on-demand resources and scalability, cloud platforms offer significant benefits in terms of flexibility, cost-efficiency, and speed. However, to fully leverage these advantages, it is crucial to apply proven design patterns that ensure the cloud architecture is both scalable and secure. This paper explores key cloud architecture design patterns, including microservices, serverless architecture, multi-cloud, and hybrid cloud, along with best (...)
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  20.  22
    Secure Sharing of Personal Health Record in Cloud Environment.V. Tamilarasi E. Saranya - 2019 - International Journal of Innovative Research in Computer and Communication Engineering 7 (2):532-536.
    In cloud secure personal data sharing is the important issues because it creates several securities and data confidentiality problem while accessing the cloud services. Many challenges present in personal data sharing such as data privacy protection, flexible data sharing, efficient authority delegation, computation efficiency optimization, are remaining toward achieving practical fine-grained access control in the Personal Health Information Sharing system. Personal health records must be encrypted to protect privacy before outsourcing to the cloud. Aiming at solving the (...)
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  21.  48
    A Proficient Two Level Security Contrivances for Storing Data in Cloud.R. Sugumar K. Anbazhagan - 2016 - Indian Journal of Science and Technology 9 (48):1-5.
    Cloud Computing provides vast storage facility. The requirement of this system is to improve the security and transmission performance in the cloud storage environment. Methods: This system provides two level of security for the cloud data. The Client Data Security Contrivance (CDSC) and Cloud Service Provider (CSP) Data Security Contrivance are the two methods which transforms the original data to cipher text. The security algorithm used in CDSC is Linguistic Steganography. Blowfish (...)
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  22. ADVANCE DATA SECURITY IN CLOUD NETWORK SYSTEMS.Tummalachervu Chaitanya Kanth - 2023 - Journal of Science Technology and Research (JSTAR) 4 (1):29-36.
    This research presents a novel and efficient public key cryptosystem known as the Enhanced Schmidt Samoa (ESS) cryptosystem, proposed to safeguard the data of a single owner in cloud computing environments. Data storage is a one-time process in the cloud, while data retrieval is a frequent operation. Experimental results demonstrate that the ESS cryptosystem offers robust data confidentiality in the cloud, surpassing the security provided by traditional cryptosystems. The research also introduces a secure cloud framework (...)
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  23. Survey of Enhancing Security of Cloud Using Fog Computing.Abhishek Singh Abhishek Singh - 2019 - International Journal for Research Trends and Innovation 4 (1).
    Nowadays Fog Computing has become a vast research area in the domain of cloud computing. Due to its ability of extending the cloud services towards the edge of the network, reduced service latency and improved Quality of Services, which provides better user experience. However, the qualities of Fog Computing emerge new security and protection challenges. The Current security and protection estimations for cloud computing cannot be straightforwardly applied to the fog computing because of its portability (...)
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  24. OPTIMIZED SECURE CLOUD STORAGE USING ATTRIBUTE-BASED KEYWORD SEARCH.S. Yoheswari - 2024 - Journal of Science Technology and Research (JSTAR) 5 (1):338-349.
    In the modern digital era, cloud storage has become an indispensable service due to its scalability, accessibility, and cost-effectiveness. However, with the vast amount of sensitive information stored on cloud platforms, ensuring data security and privacy remains a critical challenge. Traditional encryption techniques, while secure, often hinder efficient data retrieval, especially when using keyword searches. To address this, attribute-based keyword search (ABKS) offers a promising solution by allowing secure, fine-grained access control and efficient keyword searches over encrypted (...)
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  25. Deep Learning - Driven Data Leakage Detection for Secure Cloud Computing.Yoheswari S. - 2025 - International Journal of Engineering Innovations and Management Strategies 1 (1):1-4.
    Cloud computing has revolutionized the storage and management of data by offering scalable, cost-effective, and flexible solutions. However, it also introduces significant security concerns, particularly related to data leakage, where sensitive information is exposed to unauthorized entities. Data leakage can result in substantial financial losses, reputational damage, and legal complications. This paper proposes a deep learning-based framework for detecting data leakage in cloud environments. By leveraging advanced neural network architectures, such as Long Short-Term Memory (LSTM) and Convolutional (...)
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  26.  74
    Secure and Efficient Data Deduplication Framework for Hybrid Cloud Architectures.M. Sheik Dawood - 2024 - Journal of Science Technology and Research (JSTAR) 5 (1):623-633.
    The exponential growth of data storage requirements has become a pressing challenge in hybrid cloud environments, necessitating efficient data deduplication methods. This research proposes a novel Smart Deduplication Framework (SDF) designed to identify and eliminate redundant data, thus optimizing storage usage and improving data retrieval speeds. The framework leverages a hybrid cloud architecture, combining the scalability of public clouds with the security of private clouds. By employing a combination of client-side hashing, metadata indexing, and machine learning-based duplicate (...)
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  27. Data Storage, Security And Techniques In Cloud Computing.R. Dinesh Arpitha & Shobha R. Sai - 2018 - International Journal of Research and Analytical Reviews 5 (4).
    Cloud computing is the computing technology which provides resources like software, hardware, services over the internet. Cloud computing provides computation, software, data access, and storage services that do not require end- user knowledge of the physical location and configuration of the system that delivers the services. Cloud computing enables the user and organizations to store their data remotely and enjoy good quality applications on the demand without having any burden associated with local hardware resources and software managements (...)
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  28. A Survey On Cloud Computing Security Issues.Dr V. Anuratha & M. Sasikala - 2016 - International Journal of Computer Science and Engineering Technology 2 (4).
    While cloud computing is picking up prevalence, assorted security and protection issues are rising that block the quick reception of this new computing worldview. Furthermore, the improvement of cautious arrangements is lingering behind. To guarantee a safe and reliable cloud environment it is fundamental to distinguish the impediments of existing arrangements and imagine headings for future research. In this paper, we have reviewed basic security and protection challenges in cloud computing, arranged different existing arrangements, looked (...)
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  29.  65
    Deep Learning - Driven Data Leakage Detection for Secure Cloud Computing.Yoheswari S. - 2024 - International Journal of Engineering Innovations and Management Strategies 5 (1):1-4.
    Cloud computing has revolutionized the storage and management of data by offering scalable, cost-effective, and flexible solutions. However, it also introduces significant security concerns, particularly related to data leakage, where sensitive information is exposed to unauthorized entities. Data leakage can result in substantial financial losses, reputational damage, and legal complications. This paper proposes a deep learning-based framework for detecting data leakage in cloud environments. By leveraging advanced neural network architectures, such as Long Short- Term Memory (LSTM) and (...)
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  30.  42
    Microsoft Azure Networking: Empowering Cloud Connectivity and Security.Borra Praveen - 2024 - International Journal of Advanced Research in Science, Communication and Technology 4 (3):469-475.
    In the current era dominated by cloud computing, networking infrastructure serves as the backbone of digital operations. Among the top cloud service providers, Microsoft Azure offers a robust suite of networking solutions tailored to meet the evolving needs of modern businesses. This document aims to provide a comprehensive overview of Azure networking, examining its key components, deployment models, best practices, and practical applications. By exploring Azure Virtual Network, Load Balancer, VPN Gateway, ExpressRoute, Firewall, and other services in detail, (...)
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  31.  28
    The Role of Network Engineers in Securing Cloud-based Applications and Data Storage.Bellamkonda Srikanth - 2020 - International Journal of Innovative Research in Computer and Communication Engineering 8 (7):2894-2901.
    As organizations increasingly adopt cloud computing to enhance scalability, efficiency, and costeffectiveness, securing cloud-based applications and data storage has become a paramount concern. This shift has redefined the role of network engineers, who are now at the forefront of implementing and managing secure cloud infrastructures. This research paper examines the critical responsibilities of network engineers in safeguarding cloud environments, focusing on the challenges, strategies, and tools they employ to mitigate risks and ensure data integrity. The paper (...)
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  32.  21
    ACCESS CONTROL MODELS FOR SECURE HYBRID CLOUD DEPLOYMENT.Sharma Sidharth - 2017 - Journal of Artificial Intelligence and Cyber Security (Jaics) 1 (1):7-12.
    Hybrid cloud environments combine private and public cloud infrastructures to optimize security, scalability, and cost-effectiveness. However, ensuring secure access control in such environments remains a critical challenge due to dynamic workloads, multi-tenancy, and cross-cloud authentication complexities. This paper explores access control models tailored for secure hybrid cloud deployment, focusing on Role-Based Access Control (RBAC), Attribute-Based Access Control (ABAC), and emerging Zero Trust principles. We analyze their effectiveness in mitigating unauthorized access, privilege escalation, and insider threats. (...)
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  33. Machine Learning-Enhanced Secure Cloud Storage with Attribute-Based Data Access.A. Manoj Prabaharan - 2024 - Journal of Science Technology and Research (JSTAR) 5 (1):418-429.
    Cloud computing has transformed data management and storage by providing unmatched scalability, flexibility, and cost-effectiveness. However, rising cloud storage use has raised data security and privacy issues. As sensitive data being outsourced to third-party cloud providers, security is crucial. Traditional encryption methods secure data but make data recovery difficult. Specifically, efficiently searching encrypted data without compromising security is difficult.
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  34. Machine Learning for Optimized Attribute-Based Data Management in Secure Cloud Storage.P. Selvaprasanth - 2024 - Journal of Science Technology and Research (JSTAR) 5 (1):434-450.
    Cloud storage's scalability, accessibility, and affordability have made it essential in the digital age. Data security and privacy remain a major issue due to the large volume of sensitive data kept on cloud services. Traditional encryption is safe but slows data recovery, especially for keyword searches. Secure, fine-grained access control and quick keyword searches over encrypted data are possible using attribute-based keyword search (ABKS). This study examines how ABKS might optimize search efficiency and data security in (...)
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  35.  29
    The Role of Homomorphic Encryption in Secure Cloud Data Processing.Sharma Sidharth - 2023 - Journal of Science Technology and Research (JSTAR) 4 (1):260-265.
    Homomorphic encryption is a transformative cryptographic technique that enables secure cloud data processing by allowing computations on encrypted data without requiring decryption. Unlike traditional encryption methods, which protect data only at rest and in transit, homomorphic encryption ensures end-to-end security, even during computation. This capability is particularly vital for industries that rely on cloud computing while handling sensitive information, such as finance, healthcare, and government sectors. However, despite its strong security guarantees, the widespread adoption of homomorphic (...)
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  36.  10
    Sustainable Access Management for Cloud Instances With SSH Securing Cloud Infrastructure With PAM Solutions.Vivekchowdary Attaluri Subash Banala - 2025 - Igi Global Scientific Publishing 1 (1):321-340.
    In the era of cloud computing, securing access to cloud instances is paramount for protecting sensitive data and ensuring compliance with industry standards. Secure Shell (SSH) access management plays a critical role in safeguarding cloud environments by controlling how users interact with cloud-based systems. However, traditional SSH access management methods can often be cumbersome, error-prone, and vulnerable to breaches. This paper explores the implementation of Privileged Access Management (PAM) solutions for enhancing the security of SSH (...)
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  37.  96
    Optimized Attribute-Based Search and Secure Storage for Cloud Computing Environments.M. Arul Selvan - 2024 - Journal of Science Technology and Research (JSTAR) 5 (1):361-370.
    In the modern digital era, cloud storage has become an indispensable service due to its scalability, accessibility, and cost-effectiveness. However, with the vast amount of sensitive information stored on cloud platforms, ensuring data security and privacy remains a critical challenge. Traditional encryption techniques, while secure, often hinder efficient data retrieval, especially when using keyword searches. To address this, attribute-based keyword search (ABKS) offers a promising solution by allowing secure, fine-grained access control and efficient keyword searches over encrypted (...)
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  38.  40
    Shielding the Cloud: _A Survey of Different DDoS Detection Techniques (13th edition).Kruthika B. Anil Kumar, , Lavanya G. S. - 2024 - International Journal of Innovative Research in Science, Engineering and Technology 13 (10):17762-17766. Translated by Lavanya G S Anil Kumar.
    Security is a major concern on the internet, and Distributed Denial of Service (DDoS) attacks are a significant threat. These attacks overwhelm network resources and use up bandwidth, making it difficult for legitimate users to access services. One challenge in dealing with DDoS attacks is telling the difference between a sudden increase in traffic from real users, known as a "flash crowd," and actual attack traffic. This paper looks at different existing solutions for detecting DDoS attacks and explains how (...)
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  39. SOLVING CLOUD VULNERABILITIES: ARCHITECTING AIPOWERED CYBERSECURITY SOLUTIONS FOR ENHANCED PROTECTION.Sanagana Durga Prasada Rao - 2024 - Journal of Science Technology and Research (JSTAR) 5 (1):84-90.
    The rapid adoption of cloud computing has revolutionized the way organizations operate, offering unparalleled flexibility, scalability, and efficiency. However, it also introduces a new set of vulnerabilities and security challenges. This manuscript explores the integration of artificial intelligence (AI) in cybersecurity solutions to address these cloud vulnerabilities. By examining the current landscape, AI methodologies, and practical implementation strategies, we aim to provide a roadmap for enhancing cloud security through AI-powered solutions. -/- .
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  40. ENSURING ECONOMIC SECURITY OF TRADE ENTERPRISES IN THE FORMATION OF PRICING POLICY.Maksym Bezpartochnyi & Igor Britchenko - 2022 - Financial and Credit Activity: Problems of Theory and Practice 43 (2):146-156.
    The article considers the problem of ensuring the economic security of trade enterprises by forming an optimal pricing policy. The methodology of formation the minimum and maximum selling prices of trade enterprise, maintenance of margin of economic security, which is based on research of turnover costs and working capital of trade enterprise is offered. Based on statistical data of trade enterprises, the types of prices by product range are determined, which form a stable economic situation and ensure economic (...)
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  41. Implementation of Data Mining on a Secure Cloud Computing over a Web API using Supervised Machine Learning Algorithm.Tosin Ige - 2022 - International Journal of Advanced Computer Science and Applications 13 (5):1 - 4.
    Ever since the era of internet had ushered in cloud computing, there had been increase in the demand for the unlimited data available through cloud computing for data analysis, pattern recognition and technology advancement. With this also bring the problem of scalability, efficiency and security threat. This research paper focuses on how data can be dynamically mine in real time for pattern detection in a secure cloud computing environment using combination of decision tree algorithm and Random (...)
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  42. Advanced Attribute-Based Keyword Search for Secure Cloud Data Storage Solutions.S. Yoheswari - 2024 - Journal of Science Technology and Research (JSTAR) 5 (1):350-360.
    This paper delves into the integration of optimization techniques within ABKS to enhance search efficiency and data security in cloud storage environments. We explore various optimization strategies, such as index compression, query processing enhancement, and encryption optimization, which aim to reduce computational overhead while maintaining robust security measures. Through a comprehensive analysis, the paper illustrates how these techniques can significantly improve the performance of cloud storage systems, ensuring both security and usability. Experimental results demonstrate that (...)
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  43. Artificial intelligent smart home automation with secured camera management-based GSM, cloud computing and arduino.Musaddak Abdul Zahra & Laith A. Abdul-Rahaim Musaddak M. Abdul Zahra, Marwa Jaleel Mohsin - 2020 - Periodicals of Engineering and Natural Sciences 8 (4):2160-2168.
    Home management and controlling have seen a great introduction to network that enabled digital technology, especially in recent decades. For the purpose of home automation, this technique offers an exciting capability to enhance the connectivity of equipment within the home. Also, with the rapid expansion of the Internet, there are potentials that added to the remote control and monitoring of such network-enabled devices. In this paper, we had been designed and implemented a fully manageable and secure smart home automation system (...)
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  44. Secure and Scalable Data Mining Technique over a Restful Web Services.Solar Francesco & Oliver Smith - forthcoming - International Journal of Research and Innovation in Applied Science.
    Scalability, efficiency, and security had been a persistent problem over the years in data mining, several techniques had been proposed and implemented but none had been able to solve the problem of scalability, efficiency and security from cloud computing. In this research, we solve the problem scalability, efficiency and security in data mining over cloud computing by using a restful web services and combination of different technologies and tools, our model was trained by using different (...)
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  45.  20
    Zero-Day Threat Protection: Advanced Cybersecurity Measures for Cloud-Based Guidewire Implementations.Adavelli Sateesh Reddy - 2023 - International Journal of Science and Research (IJSR) 12 (9):2219-2231.
    The contribution of this paper is a comprehensive cybersecurity framework to secure cloud hosted Guidewire implementations by addressing critical security challenges such as threat detection, incident response, compliance, and system performance. Based on advanced technologies like machine learning, behavioral analytics and auto patching, the framework detects and mitigates known and unknown threats, incidentally zero-day exploit. The system does this through micro segmenting, behavioral anomaly detection, and automated patch orchestration in a way that does not render the system unperforming. (...)
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  46. Intelligent Encryption and Attribute-Based Data Retrieval for Secure Cloud Storage Using Machine Learning.A. Manoj Prabaharan - 2024 - Journal of Science Technology and Research (JSTAR) 5 (1):415-425.
    Cloud storage's scalability, accessibility, and affordability have made it essential in the digital age. Data security and privacy remain a major issue due to the large volume of sensitive data kept on cloud services. Traditional encryption is safe but slows data recovery, especially for keyword searches. Secure, fine-grained access control and quick keyword searches over encrypted data are possible using attribute-based keyword search (ABKS). This study examines how ABKS might optimize search efficiency and data security in (...)
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  47. Vietnam’s Security Challenges: Priorities, Policy Implications and Prospects for Regional Cooperation.Tran Truong Thuy & Nguyen Minh Ngoc - 2013 - In Tran Truong Thuy & Nguyen Minh Ngoc, The Fourth International Workshop on Asia-Pacific Security, Tokyo, Japan. Tokyo, Japan: NIDS Ministry of Defense, Japan. pp. 93-112.
    The historic end of the Cold War and the rising tide of globalization have significantly changed the nature of threats and security discourses in Asia. There is a notable shift of attention from military power as the core determinant of national security to several non-traditional sectors with a much enhanced role of economic, political, and societal forces. Non-traditional security issues—such as climate change, natural disasters, transnational crimes, and terrorism—require both policymakers and military strategists to deal with (...) threats in a more comprehensive manner. Increasing interdependence among states also magnifies the impacts of these threats, urging Asian countries to forge regional cooperation in multilateral forums such as ASEAN, EAS, APEC, and ARF. Though these efforts are commendable, their effectiveness in tackling such a wide canvass of threats is still open to question. (shrink)
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  48.  93
    Scalable Cloud Solutions for Cardiovascular Disease Risk Management with Optimized Machine Learning Techniques.A. Manoj Prabaharan - 2024 - Journal of Science Technology and Research (JSTAR) 5 (1):454-470.
    The predictive capacity of the model is evaluated using evaluation measures, such as accuracy, precision, recall, F1-score, and the area under the ROC curve (AUC-ROC). Our findings show that improved machine learning models perform better than conventional methods, offering trustworthy forecasts that can help medical practitioners with early diagnosis and individualized treatment planning. In order to achieve even higher predicted accuracy, the study's conclusion discusses the significance of its findings for clinical practice as well as future improvements that might be (...)
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  49.  38
    The Evolution of Cloud Computing: Key Trends and Future Directions.Rama Bansode Suvarna More - 2021 - International Journal of Advanced Research in Education and Technology 8 (1):447-452.
    Cloud computing has revolutionized the way businesses and individuals access and utilize computing resources. With its rapid adoption over the last few decades, it has become the backbone of many IT services across industries. This paper explores the evolution of cloud computing, highlighting key trends and identifying future directions that will shape the landscape. It discusses the evolution from traditional on-premise systems to the cloud-first approach, current advancements such as multi-cloud and hybrid cloud environments, and (...)
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  50.  28
    How Cloud Computing Revolutionizes Human Capital Management.Harish Kumar Reddy Kommera - 2019 - Turkish Journal of Computer and Mathematics Education (TURCOMAT) 10 (2):2018-2031.
    The advent of cloud computing has fundamentally transformed various business operations, with Human Capital Management (HCM) standing out as a significant beneficiary. Cloud-based HCM solutions offer unparalleled scalability, accessibility, and integration capabilities, enabling organizations to manage their workforce more efficiently and strategically. This paper explores the revolutionary impact of cloud computing on HCM, highlighting key advancements such as enhanced data analytics, improved employee engagement, cost-effectiveness, and support for remote and hybrid work models. Through a comprehensive literature review (...)
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