Results for 'Cyber attacks'

832 found
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  1. Robust Cyber Attack Detection with Support Vector Machines: Tackling Both Established and Novel Threats.M. Arul Selvan - 2021 - Journal of Science Technology and Research (JSTAR) 2 (1):160-165.
    The proposed IDS model is aimed at detecting network intrusions by classifying all the packet traffic in the network as benign or malicious classes. The Canadian Institute for Cyber security Intrusion Detection System (CICIDS2017) dataset has been used to train and validate the proposed model. The model has been evaluated in terms of the overall accuracy, attack detection rate, false alarm rate, and training overhead. DDOS attacks based on Canadian Institute for Cyber security Intrusion Detection System (KDD (...)
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  2.  57
    AN INTRUSION DETECTION SYSTEM MODEL FOR DETECTING KNOWN AND INNOVATIVE CYBER ATTACKS USING SVM ALGORITHM.Selvan Arul - 2021 - Journal of Science Technology and Research (JSTAR) 2 (1):150-157.
    Nowadays, intrusions have become a major problem faced by users. To stop these cyber attacks from happening, the development of a reliable and effective Intrusion Detection System (IDS) for cyber security has become an urgent issue to be solved. The proposed IDS model is aimed at detecting network intrusions by classifying all the packet traffic in the network as benign or malicious classes. The Canadian Institute for Cyber security Intrusion Detection System (CICIDS2017) dataset has been used (...)
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  3. SVM-Enhanced Intrusion Detection System for Effective Cyber Attack Identification and Mitigation.M. Arul Selvan - 2024 - Journal of Science Technology and Research (JSTAR) 5 (1):397-403.
    The ever-evolving landscape of cyber threats necessitates robust and adaptable intrusion detection systems (IDS) capable of identifying both known and emerging attacks. Traditional IDS models often struggle with detecting novel threats, leading to significant security vulnerabilities. This paper proposes an optimized intrusion detection model using Support Vector Machine (SVM) algorithms tailored to detect known and innovative cyberattacks with high accuracy and efficiency. The model integrates feature selection and dimensionality reduction techniques to enhance detection performance while reducing computational overhead. (...)
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  4.  85
    OPTIMIZED INTRUSION DETECTION MODEL FOR IDENTIFYING KNOWN AND INNOVATIVE CYBER ATTACKS USING SUPPORT VECTOR MACHINE (SVM) ALGORITHMS.S. Yoheswari - 2024 - Journal of Science Technology and Research (JSTAR) 5 (1):398-404.
    The ever-evolving landscape of cyber threats necessitates robust and adaptable intrusion detection systems (IDS) capable of identifying both known and emerging attacks. Traditional IDS models often struggle with detecting novel threats, leading to significant security vulnerabilities. This paper proposes an optimized intrusion detection model using Support Vector Machine (SVM) algorithms tailored to detect known and innovative cyberattacks with high accuracy and efficiency. The model integrates feature selection and dimensionality reduction techniques to enhance detection performance while reducing computational overhead. (...)
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  5. An Investigation into the Performances of the State-of-the-art Machine Learning Approaches for Various Cyber-attack Detection: A Survey. [REVIEW]Tosin Ige, Christopher Kiekintveld & Aritran Piplai - forthcoming - Proceedings of the IEEE:11.
    To secure computers and information systems from attackers taking advantage of vulnerabilities in the system to commit cybercrime, several methods have been proposed for real-time detection of vulnerabilities to improve security around information systems. Of all the proposed methods, machine learning had been the most effective method in securing a system with capabilities ranging from early detection of software vulnerabilities to real-time detection of ongoing compromise in a system. As there are different types of cyberattacks, each of the existing state-of-the-art (...)
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  6.  63
    SVM Model for Cyber Threat Detection: Known and Innovative Attacks.Prathap Jeyapandi - 2022 - Journal of Science Technology and Research (JSTAR) 3 (1):201-209.
    Nowadays, intrusions have become a major problem faced by users. To stop these cyber attacks from happening, the development of a reliable and effective Intrusion Detection System (IDS) for cyber security has become an urgent issue to be solved. The proposed IDS model is aimed at detecting network intrusions by classifying all the packet traffic in the network as benign or malicious classes. The Canadian Institute for Cyber security Intrusion Detection System (CICIDS2017) dataset has been used (...)
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  7. Regulate artificial intelligence to avert cyber arms race.Mariarosaria Taddeo & Luciano Floridi - 2018 - Nature 556 (7701):296-298.
    This paper argues that there is an urgent need for an international doctrine for cyberspace skirmishes before they escalate into conventional warfare.
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  8. Analysis of Cyber Security In E-Governance Utilizing Blockchain Performance.Regonda Nagaraju, Selvanayaki Shanmugam, Sivaram Rajeyyagari, Jupeth Pentang, B. Kiran Bala, Arjun Subburaj & M. Z. M. Nomani - manuscript
    E-Government refers to the administration of Information and Communication Technologies (ICT) to the procedures and functions of the government with the objective of enhancing the transparency, efficiency and participation of the citizens. E-Government is tough systems that require distribution, protection of privacy and security and collapse of these could result in social and economic costs on a large scale. Many of the available e-government systems like electronic identity system of management (eIDs), websites are established at duplicated databases and servers. An (...)
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  9. Attack Prevention in IoT through Hybrid Optimization Mechanism and Deep Learning Framework.Regonda Nagaraju, Jupeth Pentang, Shokhjakhon Abdufattokhov, Ricardo Fernando CosioBorda, N. Mageswari & G. Uganya - 2022 - Measurement: Sensors 24:100431.
    The Internet of Things (IoT) connects schemes, programs, data management, and operations, and as they continuously assist in the corporation, they may be a fresh entryway for cyber-attacks. Presently, illegal downloading and virus attacks pose significant threats to IoT security. These risks may acquire confidential material, causing reputational and financial harm. In this paper hybrid optimization mechanism and deep learning,a frame is used to detect the attack prevention in IoT. To develop a cybersecurity warning system in a (...)
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  10.  66
    Adaptive SVM Techniques for Optimized Detection of Known and Novel Cyber Intrusions.M. Arulselvan - 2024 - Journal of Science Technology and Research (JSTAR) 5 (1):398-405.
    The ever-evolving landscape of cyber threats necessitates robust and adaptable intrusion detection systems (IDS) capable of identifying both known and emerging attacks. Traditional IDS models often struggle with detecting novel threats, leading to significant security vulnerabilities. This paper proposes an optimized intrusion detection model using Support Vector Machine (SVM) algorithms tailored to detect known and innovative cyberattacks with high accuracy and efficiency. The model integrates feature selection and dimensionality reduction techniques to enhance detection performance while reducing computational overhead.
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  11. Relationship Between Corporate Governance and Information Security Governance Effectiveness in United States Corporations.Dr Robert E. Davis - 2017 - Dissertation, Walden
    Cyber attackers targeting large corporations achieved a high perimeter penetration success rate during 2013, resulting in many corporations incurring financial losses. Corporate information technology leaders have a fiduciary responsibility to implement information security domain processes that effectually address the challenges for preventing and deterring information security breaches. Grounded in corporate governance theory, the purpose of this correlational study was to examine the relationship between strategic alignment, resource management, risk management, value delivery, performance measurement implementations, and information security governance (ISG) (...)
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  12.  82
    Cunoașterea Științifică, Volumul 3, Numărul 2, Iunie 2024.Nicolae Sfetcu - 2024 - Cunoașterea Științifică 3 (2).
    Revista Cunoașterea Științifică este o publicație trimestrială din domeniile științei și filosofiei, și domenii conexe de studiu și practică. -/- Cuprins: -/- EDITORIAL / EDITORIAL -/- Nicolae SFETCU What is intelligence? Ce este inteligența? -/- ȘTIINȚE NATURALE / NATURAL SCIENCE -/- Nicolae SFETCU Epistemology of Loop Quantum Gravity in the Context of Canonical Quantum Gravity Epistemologia gravitației cuantice în buclă în contextul gravitației cuantice canonice -/- Valentin IONESCU Universal constants, vacuum energy and the growth of black holes over time in (...)
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  13. FONDASI KEMANANAN SIBER UNTUK LAYANAN PEMERINTAH.Dhanang Witjaksono & Arimurti Kriswibowo - 2023 - Al-Ijtima`I: International Journal of Government and Social Science 9 (1):21-38.
    The use of the internet in the current government environment continues to grow. The increasingly complex use of the internet can cause vulnerabilities to cyber attacks in information security, which include aspects of confidentiality, integrity, and service availability, so that it can disrupt the performance of public service delivery. The systematic literature review research method was carried out because of the large amount of information and data regarding cyber security strategies. This can be traced through various information (...)
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  14.  57
    IT & C, Volumul 3, Numărul 2, Iunie 2024.Nicolae Sfetcu - 2024 - It and C 3 (2).
    Revista IT & C este o publicație trimestrială din domeniile tehnologiei informației și comunicații, și domenii conexe de studiu și practică. -/- Cuprins: -/- EDITORIAL / EDITORIAL -/- Levering Data Science in the Detection of Advanced Persistent Threats Utilizarea științei datelor în detectarea amenințărilor persistente avansate -/- TEHNOLOGIA INFORMAȚIEI / INFORMATION TECHNOLOGY -/- Detecting Advanced Persistent Threats in Cyber Warfare – Academic Studies Detectarea amenințărilor persistente avansate în războiul cibernetic – Studii academice -/- TELECOMUNICAȚII / TELECOMMUNICATIONS -/- Artificial Intelligence (...)
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  15. Ethiek voor Cyberkrijg en Cyberkrijgers.Peter Olsthoorn - 2019 - Algemeen Nederlands Tijdschrift voor Wijsbegeerte 111 (1):95-109.
    Although some claim that the term cyber war is merely metaphorical, there are good reasons to see cyber war as a form of warfare ‐ even if it is not war as we have hitherto known it. This poses the question whether the principles of the Just War Tradition, which claims to offer an alternative for pacifism and realism, apply to this specific kind of war too. This article argues that the jus in bello principles of discrimination and (...)
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  16. Use of Blockchain in Strengthening Cybersecurity And Protecting Privacy.Arif Sari - 2018 - International Journal of Engineering and Information Systems (IJEAIS) 2 (12):59-66.
    Abstract—The purpose of this study is to highlight and prove the positive impact in which blockchain could have on today’s IoT environment in terms of providing Cybersecurity for not just organizations, but other individuals who share data via the internet. The current IoT environs operates on a centralized cloud based server, meanwhile block chain operates on a decentralized server. The differentiation between the both plays a major role in the level of security they both provide; whereby, decentralized systems are less (...)
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  17. Intelligence Info, Volumul 2, 2023.Nicolae Sfetcu - 2023 - Intelligence Info 2.
    Revista Intelligence Info este o publicație trimestrială din domeniile intelligence, geopolitică și securitate, și domenii conexe de studiu și practică. -/- Cuprins: -/- EDITORIALE / EDITORIALS -/- Tiberiu TĂNASE Considerații privind necesitatea educării și formării resursei umane pentru intelligence–ul național Considerations regarding the need to educate and train human resources for national intelligence Nicolae SFETCU Epistemologia activității de intelligence Epistemology of intelligence Nicolae SFETCU Rolul serviciilor de informații în război The role of the intelligence agencies in a war Nicolae SFETCU (...)
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  18.  66
    Cunoașterea Științifică, Volumul 3, Numărul 1, Martie 2024.Nicolae Sfetcu - 2024 - Cunoașterea Științifică 3 (1).
    Revista Cunoașterea Științifică este o publicație trimestrială din domeniile științei și filosofiei, și domenii conexe de studiu și practică. -/- Cuprins: -/- EDITORIAL / EDITORIAL -/- Nicolae SFETCU Defense Against Advanced Cyber Attacks Apărarea împotriva atacurilor cibernetice avansate -/- ȘTIINȚE NATURALE / NATURAL SCIENCE -/- Nicolae SFETCU Cosmological Tests Based on General Relativity for Gravity Teste cosmologice bazate pe relativitatea generală pentru gravitație -/- Ștefan-Daniel FLOREA Integrating modern technology into seismic risk management Integrarea tehnologiei moderne în gestionarea riscului (...)
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  19. Beginner's Guide for Cybercrime Investigators.Nicolae Sfetcu - 2014 - Drobeta Turnu Severin: MultiMedia Publishing.
    In the real world there are people who enter the homes and steal everything they find valuable. In the virtual world there are individuals who penetrate computer systems and "steal" all your valuable data. Just as in the real world, there are uninvited guests and people feel happy when they steal or destroy someone else's property, the computer world could not be deprived of this unfortunate phenomenon. It is truly detestable the perfidy of these attacks. For if it can (...)
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  20. Targeted Human Trafficking -- The Wars between Proxy and Surrogated Economy.Yang Immanuel Pachankis - 2022 - International Journal of Scientific and Engineering Research 13 (7):398-409.
    Upon Brexit & Trade War, the research took a supply-side analysis in macroeconomic paradigm for the purpose and cause of the actions. In the geopolitical competitions on crude oil resources between the allied powers & the Russian hegemony, the latter of which has effective control over P. R. China’s multilateral behaviors, the external research induced that trade war, either by complete information in intelligence or an unintended result, was a supply chain attack in prohibiting the antisatellite weapon supplies in the (...)
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  21. Cybercrime and Online Safety: Addressing the Challenges and Solutions Related to Cybercrime, Online Fraud, and Ensuring a Safe Digital Environment for All Users— A Case of African States (10th edition).Emmanuel N. Vitus - 2023 - Tijer- International Research Journal 10 (9):975-989.
    The internet has made the world more linked than ever before. While taking advantage of this online transition, cybercriminals target flaws in online systems, networks, and infrastructure. Businesses, government organizations, people, and communities all across the world, particularly in African countries, are all severely impacted on an economic and social level. Many African countries focused more on developing secure electricity and internet networks; yet, cybersecurity usually receives less attention than it should. One of Africa's major issues is the lack of (...)
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  22.  36
    A Novel Deep Learning-Based Framework for Intelligent Malware Detection in Cybersecurity.P. Selvaprasanth - 2024 - Journal of Science Technology and Research (JSTAR) 5 (1):666-669.
    With the proliferation of sophisticated cyber threats, traditional malware detection techniques are becoming inadequate to ensure robust cybersecurity. This study explores the integration of deep learning (DL) techniques into malware detection systems to enhance their accuracy, scalability, and adaptability. By leveraging convolutional neural networks (CNNs), recurrent neural networks (RNNs), and transformers, this research presents an intelligent malware detection framework capable of identifying both known and zero-day threats. The methodology involves feature extraction from static, dynamic, and hybrid malware datasets, followed (...)
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  23.  38
    An Integrated Framework for IoT Security: Combining Machine Learning and Signature-Based Approaches for Intrusion Detection.Yan Janet - manuscript
    Internet of Things (IoT) devices have transformed various industries, enabling advanced functionalities across domains such as healthcare, smart cities, and industrial automation. However, the increasing number of connected devices has raised significant concerns regarding their security. IoT networks are highly vulnerable to a wide range of cyber threats, making Intrusion Detection Systems (IDS) critical for identifying and mitigating malicious activities. This paper proposes a hybrid approach for intrusion detection in IoT networks by combining Machine Learning (ML) techniques with Signature-Based (...)
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  24.  32
    Empowering Cybersecurity with Intelligent Malware Detection Using Deep Learning Techniques.S. Yoheswari - 2024 - Journal of Science Technology and Research (JSTAR) 5 (1):655-665.
    With the proliferation of sophisticated cyber threats, traditional malware detection techniques are becoming inadequate to ensure robust cybersecurity. This study explores the integration of deep learning (DL) techniques into malware detection systems to enhance their accuracy, scalability, and adaptability. By leveraging convolutional neural networks (CNNs), recurrent neural networks (RNNs), and transformers, this research presents an intelligent malware detection framework capable of identifying both known and zero-day threats. The methodology involves feature extraction from static, dynamic, and hybrid malware datasets, followed (...)
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  25.  18
    Intelligent Malware Detection Empowered by Deep Learning for Cybersecurity Enhancement.M. Arulselvan - 2024 - Journal of Science Technology and Research (JSTAR) 5 (1):625-635.
    With the proliferation of sophisticated cyber threats, traditional malware detection techniques are becoming inadequate to ensure robust cybersecurity. This study explores the integration of deep learning (DL) techniques into malware detection systems to enhance their accuracy, scalability, and adaptability. By leveraging convolutional neural networks (CNNs), recurrent neural networks (RNNs), and transformers, this research presents an intelligent malware detection framework capable of identifying both known and zero-day threats. The methodology involves feature extraction from static, dynamic, and hybrid malware datasets, followed (...)
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  26. Mad Speculation and Absolute Inhumanism: Lovecraft, Ligotti, and the Weirding of Philosophy.Ben Woodard - 2011 - Continent 1 (1):3-13.
    continent. 1.1 : 3-13. / 0/ – Introduction I want to propose, as a trajectory into the philosophically weird, an absurd theoretical claim and pursue it, or perhaps more accurately, construct it as I point to it, collecting the ground work behind me like the Perpetual Train from China Mieville's Iron Council which puts down track as it moves reclaiming it along the way. The strange trajectory is the following: Kant's critical philosophy and much of continental philosophy which has followed, (...)
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  27. 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 substantial dangers to (...)
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  28.  46
    A Hybrid Approach for Intrusion Detection in IoT Using Machine Learning and Signature-Based Methods.Janet Yan - manuscript
    Internet of Things (IoT) devices have transformed various industries, enabling advanced functionalities across domains such as healthcare, smart cities, and industrial automation. However, the increasing number of connected devices has raised significant concerns regarding their security. IoT networks are highly vulnerable to a wide range of cyber threats, making Intrusion Detection Systems (IDS) critical for identifying and mitigating malicious activities. This paper proposes a hybrid approach for intrusion detection in IoT networks by combining Machine Learning (ML) techniques with Signature-Based (...)
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  29.  28
    Revolutionizing Cybersecurity: Intelligent Malware Detection Through Deep Neural Networks.M. Sheik Dawood - 2024 - Journal of Science Technology and Research (JSTAR) 5 (1):655-666.
    With the proliferation of sophisticated cyber threats, traditional malware detection techniques are becoming inadequate to ensure robust cybersecurity. This study explores the integration of deep learning (DL) techniques into malware detection systems to enhance their accuracy, scalability, and adaptability. By leveraging convolutional neural networks (CNNs), recurrent neural networks (RNNs), and transformers, this research presents an intelligent malware detection framework capable of identifying both known and zero-day threats. The methodology involves feature extraction from static, dynamic, and hybrid malware datasets, followed (...)
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  30.  26
    Advanced Deep Learning Models for Proactive Malware Detection in Cybersecurity Systems.A. Manoj Prabharan - 2023 - Journal of Science Technology and Research (JSTAR) 5 (1):666-676.
    By leveraging convolutional neural networks (CNNs), recurrent neural networks (RNNs), and transformers, this research presents an intelligent malware detection framework capable of identifying both known and zero-day threats. The methodology involves feature extraction from static, dynamic, and hybrid malware datasets, followed by training DL models to classify malicious and benign software with high precision. A robust experimental setup evaluates the framework using benchmark malware datasets, yielding a 96% detection accuracy and demonstrating resilience against adversarial attacks. Real-time analysis capabilities further (...)
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  31. Impacts of Cyber Security and Supply Chain Risk on Digital Operations: Evidence from the Pharmaceutical Industry.Federico Del Giorgio Solfa - 2022 - International Journal of Technology Innovation and Management (Ijtim) 2 (2):18-32.
    Purpose: The research explored empirical evidence to assess the impact of cyber security and supply chain risk on digital operations in the UAE pharmaceutical industry. Methodology/Design/Approach: Based on responses from 243 personnel working at 14 pharmaceutical manufacturing companies in Dubai, data were examined for normality, instrument validity and regression analysis. Cyber security and SC risk on digital operations were explored by applying convenient sampling and descriptive and analytical research design. Findings: The findings validated the significant positive association between (...)
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  32. Cyber Security and Dehumanisation.Marie Oldfield - 2021 - 5Th Digital Geographies Research Group Annual Symposium.
    Artificial Intelligence is becoming widespread and as we continue ask ‘can we implement this’ we neglect to ask ‘should we implement this’. There are various frameworks and conceptual journeys one should take to ensure a robust AI product; context is one of the vital parts of this. AI is now expected to make decisions, from deciding who gets a credit card to cancer diagnosis. These decisions affect most, if not all, of society. As developers if we do not understand or (...)
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  33. Ang Attack on Titan ni Hajime Isayama Batay sa Iba't Ibang Pilosopikal na Pananaw.Mark Joseph Santos - 2022 - Dalumat E-Journal 8 (1):68-91.
    Dalawa sa mga hibla ng Pilosopiyang Filipino ay patungkol sa paggamit ng banyagang pilosopiya at pamimilosopiya sa wikang Filipino. Makatutulong ang dalawang ito tungo sa pagsasalin ng mga banyagang kaisipan sa talastasang bayan. Ang dalawang hiblang ito ang nais na ambagan ng kasalukuyang sanaysay, sa pamamagitan ng pagsasagawa ng rebyu sa isang halimbawa ng anime/manga na Hapon: ang Attack on Titan (AOT) ni Hajime Isayama. Gagamitin sa pagbasa ng AOT ang mga pilosopikal na pananaw ng ilang Aleman/Austrianong pilosoper/sikolohista na sina (...)
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  34. ISSUES AND CHALLENGES OF CYBER CRIME IN INDIA: AN ETHICAL PERSPECTIVE.Gobinda Bhattacharjee - 2021 - International Journal of Creative Research Thoughts 9 (9):b615-b620.
    The present paper is an attempt to discuss issues and challenges of Cyber Crime in India from an ethical perspective. Ethics is a branch of philosophy which deals with what is considered to be right or wrong. The ethics centers and program devoted to busin age for several re crime’. The advancement ess ethics, legal ethics, bioethics, medical ethics, engineering ethics, and computer ethics have sprung up. Cyber crime is emerging as a serious threat. Computer Technology is one (...)
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  35. The Extent of Cyber Security Application at the Ministry Of Interior and National Security in Palestine.Mahmoud T. Al Najjar, Mazen J. Al Shobaki & Suliman A. El Talla - 2022 - International Journal of Academic Information Systems Research (IJAISR) 6 (11):9-43.
    This study aimed to identify the extent of the application of Cyber Security at the Ministry of Interior and National Security from the point of view of workers in the computer and information technology units. 70 employees, and the study tool (questionnaire) was distributed, and the comprehensive survey method was used, as (61) questionnaires were retrieved at a rate of (87.1%), and they were unloaded and analyzed using the SPSS statistical package. The study reached several results, including: There was (...)
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  36. Heart attack analysis & Prediction: A Neural Network Approach with Feature Analysis.Majd N. Allouh & Samy S. Abu-Naser - 2023 - International Journal of Academic Information Systems Research (IJAISR) 7 (9):47-54.
    heart attack analysis & prediction dataset is a major cause of death worldwide. Early detection and intervention are essential for improving the chances of a positive outcome. This study presents a novel approach to predicting the likelihood of a person having heart failure using a neural network model. The dataset comprises 304 samples with 11 features, such as age, sex, chest pain type, Trtbps, cholesterol, fasting blood sugar, resting electrocardiogram results, maximum heart rate achieved, exercise-induced angina, oldpeak, ST_Slope, and HeartDisease. (...)
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  37. Birds of a feather flock together: The Nigerian cyber fraudsters (yahoo boys) and hip hop artists.Suleman Lazarus - 2018 - Criminology, Criminal Justice, Law and Society 19 (2):63-80.
    This study sets out to examine the ways Nigerian cyber-fraudsters (Yahoo-Boys) are represented in hip-hop music. The empirical basis of this article is lyrics from 18 hip-hop artists, which were subjected to a directed approach to qualitative content analysis and coded based on the moral disengagement mechanisms proposed by Bandura (1999). While results revealed that the ethics of Yahoo-Boys, as expressed by musicians, embody a range of moral disengagement mechanisms, they also shed light on the motives for the Nigerian (...)
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  38. The Attack on Liberalism.Mark R. Reiff - 2007 - In Michael D. A. Freeman & Ross Harrison (eds.), Law and philosophy. New York: Oxford University Press.
    Liberalism is today under attack. This attack is being fought along two fronts, and so appears to be coming from different directions, but it is actually coming exclusively from the right. One source is Islamic fundamentalism, and the other is American neo-conservatism, which in turn unites elements of Christian fundamentalism with elements of neo-Platonic political philosophy and neo-Aristotelian moral theory. Both Islamic fundamentalism and American neo-conservatism are perfectionist views, and while perfectionist attacks on liberalism are nothing new, there is (...)
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  39. The Necessity of Memory for Self-identity: Locke, Hume, Freud and the Cyber-self.Shane J. Ralston - 2000 - Cyberphilosophy Journal 1 (1).
    John Locke is often understood as the inaugurator of the modern discussion of personal human identity—a discussion that inevitably falls back on his own theory with its critical reliance on memory. David Hume and Sigmund Freud would later make arguments for what constituted personal identity, both relying, like Locke, on memory, but parting from Locke's company in respect the role that memory played. The purpose of this paper will be to sketch the groundwork for Locke's own theory of personal identity (...)
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  40. Strategies of Character Attack.Fabrizio Macagno - 2013 - Argumentation 27 (4):1-33.
    Why are personal attacks so powerful? In political debates, speeches, discussions and campaigns, negative character judgments, aggressive charges and charged epithets are used for different purposes. They can block the dialogue, trigger value judgments and influence decisions; they can force the interlocutor to withdraw a viewpoint or undermine his arguments. Personal attacks are not only multifaceted dialogical moves, but also complex argumentative strategies. They can be considered as premises for further arguments based on signs, generalizations or consequences. They (...)
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  41. Prediction Heart Attack using Artificial Neural Networks (ANN).Ibrahim Younis, Mohammed S. Abu Nasser, Mohammed A. Hasaballah & Samy S. Abu-Naser - 2023 - International Journal of Engineering and Information Systems (IJEAIS) 7 (10):36-41.
    Abstract Heart Attack is the Cardiovascular Disease (CVD) which causes the most deaths among CVDs. We collected a dataset from Kaggle website. In this paper, we propose an ANN model for the predicting whether a patient has a heart attack or not that. The dataset set consists of 9 features with 1000 samples. We split the dataset into training, validation, and testing. After training and validating the proposed model, we tested it with testing dataset. The proposed model reached an accuracy (...)
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  42. Digital Socialism and Cyber-Communism in the Fourth Industrial Revolution.Piero Gayozzo - 2023 - Interfases 18:169-184.
    Socialism is a political ideology that proposes that the state should control the means of production to manage a planned economy. The possibility of realizing this thesis has been debated throughout the 20th century. The Fourth Industrial Revolution (4IR) includes technologies such as artificial intelligence or big data that could reopen the debate through the formulation of new digital models of planned economy. This qualitative research presents some theoretical models proposed in academia to update socialism in the 4IR. It describes (...)
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  43. AI Powered Anti-Cyber bullying system using Machine Learning Algorithm of Multinomial Naïve Bayes and Optimized Linear Support Vector Machine.Tosin Ige - 2022 - International Journal of Advanced Computer Science and Applications 13 (5):1 - 5.
    Unless and until our society recognizes cyber bullying for what it is, the suffering of thousands of silent victims will continue.” ~ Anna Maria Chavez. There had been series of research on cyber bullying which are unable to provide reliable solution to cyber bullying. In this research work, we were able to provide a permanent solution to this by developing a model capable of detecting and intercepting bullying incoming and outgoing messages with 92% accuracy. We also developed (...)
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  44. Attacking authority.Matthews Steve - 2011 - Australian Journal of Professional and Applied Ethics 13 (2):59-70.
    The quality of our public discourse – think of the climate change debate for instance – is never very high. A day spent observing it reveals a litany of misrepresentation and error, argumentative fallacy, and a general lack of good will. In this paper I focus on a microcosmic aspect of these practices: the use of two types of argument – the argumentum ad hominem and appeal to authority – and a way in which they are related. Public debate is (...)
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  45. Cyber-Threats: Anticipation & Strategic Management, SciencesPo, 24h, 2023.Jan Stoermann & Jean Langlois-Berthelot - unknown
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  46. Science Under Attack.Nicholas Maxwell - 2005 - The Philosopher’s Magazine 31:37-41.
    Science has been under attack ever since William Blake and Romantic movement. In our time, criticisms of modern science have led to Alan Sokal's spoof, and the so-called science wars. Both sides missed the point. Science deserves to be criticized for seriously misrepresenting its highly problematic aims, which have metaphysical, value and political assumptions associated with them. Instead of repressing these problematic aims, science ought rather to make them explicit, so that they can be critically assessed and, we may hope, (...)
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  47. (1 other version) Probabilistic interpretations of argumentative attacks: logical and experimental foundations.Niki Pfeifer & C. G. Fermüller - 2018 - In V. Kratochvíl & J. Vejnarová (eds.), 11th Workshop on Uncertainty Processing (WUPES'18). pp. 141-152.
    We present an interdisciplinary approach to study systematic relations between logical form and attacks between claims in an argumentative framework. We propose to generalize qualitative attack principles by quantitative ones. Specifically, we use coherent conditional probabilities to evaluate the rationality of principles which govern the strength of argumentative attacks. Finally, we present an experiment which explores the psychological plausibility of selected attack principles.
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  48. Adversarial Attacks on Image Generation With Made-Up Words.Raphaël Millière - manuscript
    Text-guided image generation models can be prompted to generate images using nonce words adversarially designed to robustly evoke specific visual concepts. Two approaches for such generation are introduced: macaronic prompting, which involves designing cryptic hybrid words by concatenating subword units from different languages; and evocative prompting, which involves designing nonce words whose broad morphological features are similar enough to that of existing words to trigger robust visual associations. The two methods can also be combined to generate images associated with more (...)
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  49. The Liability of Justified Attackers.Uwe Steinhoff - 2016 - Ethical Theory and Moral Practice 19 (4):1016-1030.
    McMahan argues that justification defeats liability to defensive attack (which would undermine the thesis of the "moral equality of combatants"). In response, I argue, first, that McMahan’s attempt to burden the contrary claim with counter-intuitive implications fails; second, that McMahan’s own position implies that the innocent civilians do not have a right of self-defense against justified attackers, which neither coheres with his description of the case (the justified bombers infringe the rights of the civilians) nor with his views about rights (...)
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  50. Digital Transformation and Its Impact on the Application of Cyber Security in the Ministry Of Interior and National Security in Palestine.Mazen J. Al Shobaki, Suliman A. El Talla & Mahmoud T. Al Najjar - 2022 - International Journal of Engineering and Information Systems (IJEAIS) 6 (11):92-115.
    This study aimed to identify the digital transformation and its impact on the application of Cyber Security in the Palestinian Ministry of Interior and National Security. The study used the analytical descriptive approach. The study tool (questionnaire), and the comprehensive survey method was used, where (61) questionnaires were retrieved (87.1%), and they were unloaded and analyzed using the SPSS statistical package. The study found several results, including that there is a statistically significant correlation between all dimensions of Digital transformation (...)
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