Results for 'threat detection'

960 found
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  1.  42
    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 to train (...)
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  2. HARNESSING AI FOR EVOLVING THREATS: FROM DETECTION TO AUTOMATED RESPONSE.Sanagana Durga Prasada Rao - 2024 - Journal of Science Technology and Research (JSTAR) 5 (1):91-97.
    The landscape of cybersecurity is constantly evolving, with adversaries becoming increasingly sophisticated and persistent. This manuscript explores the utilization of artificial intelligence (AI) to address these evolving threats, focusing on the journey from threat detection to autonomous response. By examining AI-driven detection methodologies, advanced threat analytics, and the implementation of autonomous response systems, this paper provides insights into how organizations can leverage AI to strengthen their cybersecurity posture against modern threats. Key words: Ransomware, Anomaly Detection, (...)
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  3.  65
    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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  4. Advanced Persistent Threats in Cybersecurity – Cyber Warfare.Nicolae Sfetcu - 2024 - Bucharest, Romania: MultiMedia Publishing.
    This book aims to provide a comprehensive analysis of Advanced Persistent Threats (APTs), including their characteristics, origins, methods, consequences, and defense strategies, with a focus on detecting these threats. It explores the concept of advanced persistent threats in the context of cyber security and cyber warfare. APTs represent one of the most insidious and challenging forms of cyber threats, characterized by their sophistication, persistence, and targeted nature. The paper examines the origins, characteristics and methods used by APT actors. It also (...)
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  5. 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 (...)
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  6.  55
    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 (...)
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  7.  60
    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 (...)
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  8. Web page phishing detection Using Neural Network.Ahmed Salama Abu Zaiter & Samy S. Abu-Naser - 2023 - International Journal of Engineering and Information Systems (IJEAIS) 7 (9):1-13.
    Web page phishing is a type of phishing attack that targets websites. In a web page phishing attack, the attacker creates a fake website that looks like a legitimate website, such as a bank or credit card company website. The attacker then sends a fraudulent message to the victim, which contains a link to the fake website. When the victim clicks on the link, they are taken to the fake website and tricked into entering their personal information.Web page phishing attacks (...)
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  9. Detection and Mathematical Modeling of Anxiety Disorder Based on Socioeconomic Factors Using Machine Learning Techniques.Razan Ibrahim Alsuwailem & Surbhi Bhatia - 2022 - Human-Centric Computing and Information Sciences 12:52.
    The mental risk poses a high threat to the individuals, especially overseas demographic, including expatriates in comparison to the general Arab demographic. Since Arab countries are renowned for their multicultural environment with half of the population of students and faculties being international, this paper focuses on a comprehensive analysis of mental health problems such as depression, stress, anxiety, isolation, and other unfortunate conditions. The dataset is developed from a web-based survey. The detailed exploratory data analysis is conducted on the (...)
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  10. Synthetic Media Detection, the Wheel, and the Burden of Proof.Keith Harris - forthcoming - Philosophy and Technology.
    Deepfakes and other forms of synthetic media are widely regarded as serious threats to our knowledge of the world. Various technological responses to these threats have been proposed. The reactive approach proposes to use artificial intelligence to identify synthetic media. The proactive approach proposes to use blockchain and related technologies to create immutable records of verified media content. I argue that both approaches, but especially the reactive approach, are vulnerable to a problem analogous to the ancient problem of the criterion—a (...)
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  11. Marine debris ingestion by sea turtles (Testudines) on the Brazilian coast: an underestimated threat?Robson Henrique Carvalho, Pedro Dutra Lacerda, Sarah da Silva Mendes, Bruno Corrêa Barbosa, Mariana Paschoalini, Fábio Prezoto & Bernadete Maria de Sousa - 2015 - Marine Pollution Bulletin 101 (3):746-749.
    Assessment of marine debris ingestion by sea turtles is important, especially to ensure their survival. From January to December 2011, 23 specimens of five species of sea turtleswere found dead or dying after being rehabilitated, along the coast of the municipality of Rio de Janeiro, Brazil. To detect the presence of marine debris in the digestive tract of these turtles, we conducted a postmortemexamination from the esophagus until the distal portion of the large intestine for each specimen. Of the total (...)
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  12. 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 cloud environment. These strategies aim (...)
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  13. IoT Based Intruder Prevention using Fogger.T. Krishna Prasath - 2021 - Journal of Science Technology and Research (JSTAR) 2 (1):81-90.
    Anamoly detection in videos plays an important role in various real-life applications. Most of traditional approaches depend on utilizing handcrafted features which are problem-dependent and optimal for specific tasks. Nowadays, there has been a rise in the amount of disruptive and offensive activities that have been happening. Due to this, security has been given principal significance. Public places like shopping centers, avenues, banks, etc. are increasingly being equipped with CCTVs to guarantee the security of individuals. Subsequently, this inconvenience is (...)
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  14. AI Survival Stories: a Taxonomic Analysis of AI Existential Risk.Herman Cappelen, Simon Goldstein & John Hawthorne - forthcoming - Philosophy of Ai.
    Since the release of ChatGPT, there has been a lot of debate about whether AI systems pose an existential risk to humanity. This paper develops a general framework for thinking about the existential risk of AI systems. We analyze a two-premise argument that AI systems pose a threat to humanity. Premise one: AI systems will become extremely powerful. Premise two: if AI systems become extremely powerful, they will destroy humanity. We use these two premises to construct a taxonomy of (...)
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  15. Active monitoring of airborne elements in Isparta Province (Turkey) with the epiphytic lichen Physcia aipolia (Erh. ex Humb.) Fürnr.Mustafa Yavuz & Gülşah Çobanoğlu - 2019 - Journal of Elementology 3 (24):1115-1128.
    Air pollutants pose a threat to biodiversity throughout the world. This study was conducted to evaluate atmospheric element accumulation in Isparta city, including Gölcük Nature Park, located in the Western Mediterranean Region of Turkey. It is aimed to determine the air quality and potential pollutant sources in the region through lichen biomonitoring. Specimens of the epiphytic foliose lichen Physcia aipolia (Erh. ex Humb.) Fürnr. were sampled from 14 sites in the study area and analyzed by ICP-MS with reference material (...)
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  16. Classification of Chicken Diseases Using Deep Learning.Mohammed Al Qatrawi & Samy S. Abu-Naser - 2024 - Information Journal of Academic Information Systems Research (Ijaisr) 8 (4):9-17.
    Abstract: In recent years, the outbreak of various poultry diseases has posed a significant threat to the global poultry industry. Therefore, the accurate and timely detection of chicken diseases is critical to reduce economic losses and prevent the spread of diseases. In this study, we propose a method for classifying chicken diseases using a convolutional neural network (CNN). The proposed method involves preprocessing the chicken images, building and training a CNN model, and evaluating the performance of the model. (...)
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  17. AI or Your Lying Eyes: Some Shortcomings of Artificially Intelligent Deepfake Detectors.Keith Raymond Harris - 2024 - Philosophy and Technology 37 (7):1-19.
    Deepfakes pose a multi-faceted threat to the acquisition of knowledge. It is widely hoped that technological solutions—in the form of artificially intelligent systems for detecting deepfakes—will help to address this threat. I argue that the prospects for purely technological solutions to the problem of deepfakes are dim. Especially given the evolving nature of the threat, technological solutions cannot be expected to prevent deception at the hands of deepfakes, or to preserve the authority of video footage. Moreover, the (...)
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  18. Measuring the Immeasurable Mind: Where Contemporary Neuroscience Meets the Aristotelian Tradition.Matthew Owen - 2021 - Lexington Books (Rowman & Littlefield).
    In Measuring the Immeasurable Mind: Where Contemporary Neuroscience Meets the Aristotelian Tradition, Matthew Owen argues that despite its nonphysical character, it is possible to empirically detect and measure consciousness. -/- Toward the end of the previous century, the neuroscience of consciousness set its roots and sprouted within a materialist milieu that reduced the mind to matter. Several decades later, dualism is being dusted off and reconsidered. Although some may see this revival as a threat to consciousness science aimed at (...)
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  19.  82
    “Working at the Same Time to Animate and to Restrain”:Tocqueville on the Problem of Authority.Robert A. Ballingall - 2019 - The European Legacy 24 (7-8):738-754.
    Alexis de Tocqueville is often seen as a champion of personal liberty and human greatness in the face of the conformism and mediocrity of the democratic social state. In this light, his vision of “soft despotism” anticipates familiar reservations about state managerialism and political apathy. Yet this picture risks eclipsing one of Tocqueville’s most pregnant ambiguities. Though deeply concerned by threats to liberty posed by modern mass society, Tocqueville is alive to the special need such societies have of authority, particularly (...)
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  20.  41
    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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  21.  28
    PHISHING CONTENT CLASSIFICATION USING DYNAMIC WEIGHTING AND GENETIC RANKING OPTIMIZATION ALGORITHM.M. Arul Selvan - 2024 - Journal of Science Technology and Research (JSTAR) 5 (1):471-485.
    Phishing attacks remain one of the most prevalent cybersecurity threats, affecting individuals and organizations globally. The rapid evolution of phishing techniques necessitates more sophisticated detection and classification methods. In this paper, we propose a novel approach to phishing content classification using a Genetic Ranking Optimization Algorithm (GROA), combined with dynamic weighting, to improve the accuracy and ranking of phishing versus legitimate content. Our method leverages features such as URL structure, email content analysis, and user behavior patterns to enhance the (...)
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  22. Caponapoli.Asma Mehan - 2023 - In Michael G. Kelly, Jorge Mejía Hernández, Sonja Novak & Giuseppe Resta (eds.), OTHER DESTINATIONS: Translating the Mid-sized European City. Osijek: Faculty of Humanities and Social Sciences, Josip Juraj Strossmayer University of Osijek. pp. 46-62.
    Nowadays there is a general acknowledgment of the importance of place in Italian crime novels. In Caponapoli, Massimo Siviero articulates a narrative way in which he approaches the structures, city, and the built environment to reflect the society, cultural relations, transformations and dysfunctions of contemporary Naples. Joe Pazienza, the private detective, has been seen by him recently before he was a reporter. When hired by his first client, Nada Mormile, someone with all the requirements of the dark lady in the (...)
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  23. 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 Forest over (...)
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  24. 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 huge data set, (...)
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  25. Macro and micromanagement practices of reading comprehension programs in selected grade schools in the post-pandemic.Leonora Divinagracia - 2023 - Forum for Linguistic Studies 5 (2):1664.
    After years in distance learning, grade school teachers are now facing the threat of declining reading comprehension among elementary pupils in post-pandemic settings. Teachers observed a spike in the number of non-readers and frustrated readers in intermediate grade levels. Teachers expressed concerns about the state of the education system in the aftermath of the pandemic. The purpose of this exploratory study was to establish an understanding of the challenges and mechanisms of macro- and micro-management strategies of grade school institutions. (...)
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  26. Pandemic Politics - An Introduction.Ewa Latecka, Jean Du Toit & Gregory Morgan Swer - 2021 - Acta Academica 53 (2):1-11.
    The outbreak of COVID-19 in early 2020 and the various measures taken subsequently, either by individual countries or by government and nongovernment bodies with a global reach, have had a profound effect on human lives on a number of levels, be it social, economic, legal, or political. The scramble to respond to the threat posed by the rapid spread of the virus has, in many cases, led to a suspension of ordinary politics whilst at the same time throwing into (...)
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  27. Using Inexpensive Home Alarm for Computer Based Carbon Monoxide Monitoring.Abdullah Hussein Mohammed - 2012 - Asian Transactions on Engineering 2 (02):6.
    The current increase of air pollution rates and its consequences of global warming, health problems and threats to human lives necessitate the continuous search for more efficient and cost effective gas monitoring devices. Devices that is easily available and implementable worldwide. In developing countries the cost and the availability of the equipment is one of the obstacles that contribute to not having an efficient monitoring system. Hence, modifying cheap and easily available devices to work as pollution monitoring system will be (...)
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  28. A Study on Tools And Techniques Used For Network Forensic In A Cloud Environment: An Investigation Perspective.Rajeshwar Rao & Siby Samuel - 2014 - Journal of Basic and Applied Engineering Research 1 (8):21-26.
    The modern computer environment has moved past the local data center with a single entry and exit point to a global network comprising many data centers and hundreds of entry and exit points, commonly referred as Cloud Computing, used by all possible devices with numerous entry and exit point for transactions, online processing, request and responses traveling across the network, making the ever complex networks even more complex, making traversing, monitoring and detecting threats over such an environment a big challenge (...)
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  29. 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 and (...)
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  30. 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 a (...)
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  31. Change Detection.Ronald A. Rensink - 2002 - Annual Review of Psychology 53 (1):245-277.
    Five aspects of visual change detection are reviewed. The first concerns the concept of change itself, in particular the ways it differs from the related notions of motion and difference. The second involves the various methodological approaches that have been developed to study change detection; it is shown that under a variety of conditions observers are often unable to see large changes directly in their field of view. Next, it is argued that this “change blindness” indicates that focused (...)
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  32. Deepfake detection by human crowds, machines, and machine-informed crowds.Matthew Groh, Ziv Epstein, Chaz Firestone & Rosalind Picard - 2022 - Proceedings of the National Academy of Sciences 119 (1):e2110013119.
    The recent emergence of machine-manipulated media raises an important societal question: How can we know whether a video that we watch is real or fake? In two online studies with 15,016 participants, we present authentic videos and deepfakes and ask participants to identify which is which. We compare the performance of ordinary human observers with the leading computer vision deepfake detection model and find them similarly accurate, while making different kinds of mistakes. Together, participants with access to the model’s (...)
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  33. The Threat of Algocracy: Reality, Resistance and Accommodation.John Danaher - 2016 - Philosophy and Technology 29 (3):245-268.
    One of the most noticeable trends in recent years has been the increasing reliance of public decision-making processes on algorithms, i.e. computer-programmed step-by-step instructions for taking a given set of inputs and producing an output. The question raised by this article is whether the rise of such algorithmic governance creates problems for the moral or political legitimacy of our public decision-making processes. Ignoring common concerns with data protection and privacy, it is argued that algorithmic governance does pose a significant (...) to the legitimacy of such processes. Modelling my argument on Estlund’s threat of epistocracy, I call this the ‘threat of algocracy’. The article clarifies the nature of this threat and addresses two possible solutions. It is argued that neither solution is likely to be successful, at least not without risking many other things we value about social decision-making. The result is a somewhat pessimistic conclusion in which we confront the possibility that we are creating decision-making processes that constrain and limit opportunities for human participation. (shrink)
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  34. Deception Detection Research: Some Lessons for Epistemology.Peter Graham - 2024 - In Waldomiro J. Silva-Filho (ed.), Epistemology of Conversation: First essays. Cham: Springer.
    According to our folk theory of lying, liars leak observable cues of their insincerity, observable cues that make it easy to catch a liar in real time. Various prominent social epistemologists rely on the correctness of our folk theory as empirically well-confirmed when building their normative accounts of the epistemology of testimony. Deception detection research in communication studies, however, has shown that our folk-theory is mistaken. It is not empirically well-confirmed but empirically refuted. Michaelian (2010) and Shieber (2012) have (...)
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  35. Pedestrian detection based on hierarchical co-occurrence model for occlusion handling.Xiaowei Zhang, HaiMiao Hu, Fan Jiang & Bo Li - 2015 - Neurocomputing 10.
    In pedestrian detection, occlusions are typically treated as an unstructured source of noise and explicit models have lagged behind those for object appearance, which will result in degradation of detection performance. In this paper, a hierarchical co-occurrence model is proposed to enhance the semantic representation of a pedestrian. In our proposed hierarchical model, a latent SVM structure is employed to model the spatial co-occurrence relations among the parent–child pairs of nodes as hidden variables for handling the partial occlusions. (...)
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  36. True Detective: Buddhism, Pessimism or Philosophy?Finn Janning - 2014 - Journal of Philosophy of Life 4 (4).
    The aim of this paper is to raise two questions. The first question is: How is pessimism related to Buddhism (and vice versa)? The second question is: What relation does an immanent philosophy have to pessimism and Buddhism, if any? Using True Detective, an American television crime drama, as my point of departure, first I will outline some of the likenesses between Buddhism and pessimism. At the same time, I will show how the conduct of one of the main characters (...)
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  37. Using Deep Learning to Detect the Quality of Lemons.Mohammed B. Karaja & Samy S. Abu-Naser - 2024 - International Journal of Academic Information Systems Research (IJAISR) 8 (4):97-104.
    Abstract: Lemons are an important fruit that have a wide range of uses and benefits, from culinary to health to household and beauty applications. Deep learning techniques have shown promising results in image classification tasks, including fruit quality detection. In this paper, we propose a convolutional neural network (CNN)-based approach for detecting the quality of lemons by analysing visual features such as colour and texture. The study aims to develop and train a deep learning model to classify lemons based (...)
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  38. Direct Detection of Relic Neutrino Background remains impossible: A review of more recent arguments.Florentin Smarandache & Victor Christianto - manuscript
    The existence of big bang relic neutrinos—exact analogues of the big bang relic photons comprising the cosmic microwave background radiation—is a basic prediction of standard cosmology. The standard big bang theory predicts the existence of 1087 neutrinos per flavour in the visible universe. This is an enormous abundance unrivalled by any other known form of matter, falling second only to the cosmic microwave background (CMB) photon. Yet, unlike the CMB photon which boasts its first (serendipitous) detection in the 1960s (...)
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  39. Intelligent Plagiarism Detection for Electronic Documents.Mohran H. J. Al-Bayed - 2017 - Dissertation, Al-Azhar University, Gaza
    Plagiarism detection is the process of finding similarities on electronic based documents. Recently, this process is highly required because of the large number of available documents on the internet and the ability to copy and paste the text of relevant documents with simply Control+C and Control+V commands. The proposed solution is to investigate and develop an easy, fast, and multi-language support plagiarism detector with the easy of one click to detect the document plagiarism. This process will be done with (...)
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  40.  58
    Machine Learning-Based Cyberbullying Detection System with Enhanced Accuracy and Speed.M. Arulselvan - 2024 - Journal of Science Technology and Research (JSTAR) 5 (1):421-429.
    The rise of social media has created a new platform for communication and interaction, but it has also facilitated the spread of harmful behaviors such as cyberbullying. Detecting and mitigating cyberbullying on social media platforms is a critical challenge that requires advanced technological solutions. This paper presents a novel approach to cyberbullying detection using a combination of supervised machine learning (ML) and natural language processing (NLP) techniques, enhanced by optimization algorithms. The proposed system is designed to identify and classify (...)
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  41. Detection of Brain Tumor Using Deep Learning.Hamza Rafiq Almadhoun & Samy S. Abu-Naser - 2022 - International Journal of Academic Engineering Research (IJAER) 6 (3):29-47.
    Artificial intelligence (AI) is an area of computer science that emphasizes the creation of intelligent machines or software that work and reacts like humans, some of the computer activities with artificial intelligence are designed to include speech, recognition, learning, planning and problem solving. Deep learning is a collection of algorithms used in machine learning, it is part of a broad family of methods used for machine learning that are based on learning representations of data. Deep learning is used as a (...)
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  42. Introspection Is Signal Detection.Jorge Morales - forthcoming - British Journal for the Philosophy of Science.
    Introspection is a fundamental part of our mental lives. Nevertheless, its reliability and its underlying cognitive architecture have been widely disputed. Here, I propose a principled way to model introspection. By using time-tested principles from signal detection theory (SDT) and extrapolating them from perception to introspection, I offer a new framework for an introspective signal detection theory (iSDT). In SDT, the reliability of perceptual judgments is a function of the strength of an internal perceptual response (signal- to-noise ratio) (...)
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  43. Fraudulent Financial Transactions Detection Using Machine Learning.Mosa M. M. Megdad, Samy S. Abu-Naser & Bassem S. Abu-Nasser - 2022 - International Journal of Academic Information Systems Research (IJAISR) 6 (3):30-39.
    It is crucial to actively detect the risks of transactions in a financial company to improve customer experience and minimize financial loss. In this study, we compare different machine learning algorithms to effectively and efficiently predict the legitimacy of financial transactions. The algorithms used in this study were: MLP Repressor, Random Forest Classifier, Complement NB, MLP Classifier, Gaussian NB, Bernoulli NB, LGBM Classifier, Ada Boost Classifier, K Neighbors Classifier, Logistic Regression, Bagging Classifier, Decision Tree Classifier and Deep Learning. The dataset (...)
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  44. Failure to detect mismatches between intention and outcome in a simple decision task.Petter Johansson, Lars Hall, Sverker Sikstrom & Andreas Olsson - 2005 - Science 310 (5745):116-119.
    A fundamental assumption of theories of decision-making is that we detect mismatches between intention and outcome, adjust our behavior in the face of error, and adapt to changing circumstances. Is this always the case? We investigated the relation between intention, choice, and introspection. Participants made choices between presented face pairs on the basis of attractiveness, while we covertly manipulated the relationship between choice and outcome that they experienced. Participants failed to notice conspicuous mismatches between their intended choice and the outcome (...)
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  45. The Threat from Manipulation Arguments.Benjamin Matheson - 2018 - American Philosophical Quarterly 55 (1):37-50.
    Most seem to presume that what is threatening about manipulation arguments is the ‘no difference’ premise – that is, the claim that there are no responsibility-relevant differences between a manipulated agent and her merely causally determined counterpart. This presumption underlies three recent replies to manipulation arguments from Kearns (2012), King (2013), and Schlosser (2015). But these replies fail to appreciate the true threat from manipulation arguments – namely, the manipulation cases that are allegedly counterexamples to the leading compatibilist conditions (...)
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  46. Is that a Threat?Henry Ian Schiller - 2021 - Erkenntnis 86 (5):1161-1183.
    I introduce game-theoretic models for threats to the discussion of threats in speech act theory. I first distinguish three categories of verbal threats: conditional threats, categorical threats, and covert threats. I establish that all categories of threats can be characterized in terms of an underlying conditional structure. I argue that the aim—or illocutionary point—of a threat is to change the conditions under which an agent makes decisions in a game. Threats are moves in a game that instantiate a subgame (...)
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    Intelligent Driver Drowsiness Detection System Using Optimized Machine Learning Models.M. Arulselvan - 2024 - Journal of Science Technology and Research (JSTAR) 5 (1):397-405.
    : Driver drowsiness is a significant factor contributing to road accidents, resulting in severe injuries and fatalities. This study presents an optimized approach for detecting driver drowsiness using machine learning techniques. The proposed system utilizes real-time data to analyze driver behavior and physiological signals to identify signs of fatigue. Various machine learning algorithms, including Support Vector Machines (SVM), Convolutional Neural Networks (CNN), and Random Forest, are explored for their efficacy in detecting drowsiness. The system incorporates an optimization technique—such as Genetic (...)
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  48.  28
    Real-Time Phishing Detection Using Genetic Algorithm-Based Ranking and Dynamic Weighting Optimization.A. Manoj Prabaharan - 2024 - Journal of Science Technology and Research (JSTAR) 5 (1):491-500.
    The rapid evolution of phishing techniques necessitates more sophisticated detection and classification methods. In this paper, we propose a novel approach to phishing content classification using a Genetic Ranking Optimization Algorithm (GROA), combined with dynamic weighting, to improve the accuracy and ranking of phishing versus legitimate content. Our method leverages features such as URL structure, email content analysis, and user behavior patterns to enhance the detection system's decision-making process. The Genetic Ranking Optimization Algorithm (GROA) is used to rank (...)
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  49.  64
    OPTIMIZED DRIVER DROWSINESS DETECTION USING MACHINE LEARNING TECHNIQUES.S. Yoheswari - 2024 - Journal of Science Technology and Research (JSTAR) 5 (1):395-400.
    Driver drowsiness is a significant factor contributing to road accidents, resulting in severe injuries and fatalities. This study presents an optimized approach for detecting driver drowsiness using machine learning techniques. The proposed system utilizes real-time data to analyze driver behavior and physiological signals to identify signs of fatigue. Various machine learning algorithms, including Support Vector Machines (SVM), Convolutional Neural Networks (CNN), and Random Forest, are explored for their efficacy in detecting drowsiness. The system incorporates an optimization technique—such as Genetic Algorithms (...)
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  50. Standard Threats: How to Violate Basic Human Rights.Anthony R. Reeves - 2015 - Social Theory and Practice 41 (3):403-434.
    The paper addresses the nature of duties grounded in human rights. Rather than being protections against harm, per se, I contend that human rights largely shield against risk impositions to protected interests. “Risk imposition” is a normative idea requiring explication, but understanding dutiful action in its terms enables human rights to provide prospective policy guidance, hold institutions accountable, operate in non-ideal circumstances, embody impartiality among persons, and define the moral status of agencies in international relations. Slightly differently, I indicate a (...)
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