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32 results for “Threat Detection”
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Review ArticleOpen accessIn the abstractA Succinct Review on Identification of Network Anomalies and Protection in Cyber-Physical SystemsShalini Kumari, Chander Prabha, Prakash Srivastava et al.Advanced cyberattacks outperform traditional threat detection methods in the rapidly expanding cybersecurity field. Advanced Machine Learning (ML) algorithms can detect network traffic and system problems using AI-based Anomaly Detection (AD) for cybersecurity in real-time. Signature-based systems may overlook new and subtle threats. This paper examines Artificial Intelligence (AI) driven AD systems' design, methodology, and efficacy. The process includes data preprocessing … …Journal of Computer Science, Vol. 21, Issue 6 · 29 May 2025 · 5,247 accessesView PDFCite
Research ArticleOpen accessIn the abstractA Convolutional Neural Network Approach for Skin Lesion Classification Using Imbalanced Dataset with Image AugmentationZhyar Yassin Abdalla, Nor Hazlyna Harun, Mohammed Shihab AhmedA significant threat to people's health all over the world is skin cancer. The purpose of this research is to improve the detection of skin cancer by utilizing a CNN classification model that makes use of preprocessing and augmentation techniques. The HAM10000 dataset is used, and the imbalance it contains is addressed by resizing the images to 120×120 pixels and … …Journal of Computer Science, Vol. 20, Issue 11 · 10 Sep 2024 · 5,436 accessesView PDFCite
Research ArticleOpen accessIn the abstractDeep Learning Approach to Mitigate DDoS Attacks in SDNHema Surendrakumar Dhadhal, Paresh Kotak, Parvez Faruki, Atul GonsaiThe rise of Distributed Denial of Service (DDoS) attacks remains a significant obstacle to network security and availability. This abstract presents a new hybrid model for DDoS mitigation in Software-Defined Networking (SDN) environments, combining a Semi-supervised Deep Extreme Learning Machine (Semi-Deep ELM) with a hybrid architecture. SDN's centralized control and programmability create an ideal platform for implementing advanced mitigation strategies. … …Journal of Computer Science, Vol. 20, Issue 9 · 5 Jul 2024 · 5,345 accessesView PDFCite
Review ArticleOpen accessIn the abstractAdvances in Forest Fire Detection, Prediction and Behavior: A Comprehensive SurveyAhmad Alkhatib, Khalid JaberForest fires are a major environmental challenge that poses a threat to both human life and ecological health. To effectively prevent and manage forest fires, it is crucial to have reliable detection, prediction and behavior analysis systems in place. This study provides a comprehensive survey of the different approaches and techniques used for forest fire detection, prediction and behavior analysis. … …Journal of Computer Science, Vol. 20, Issue 4 · 7 Feb 2024 · 6,421 accessesView PDFCite
Research ArticleOpen accessIn the abstractFlock Optimization Algorithm-Based Deep Learning Model for Diabetic Disease Detection ImprovementDivager Balasubramaniyan, Nor Azura Husin, Norwati Mustapha et al.Worldwide, 422 million people suffer from diabetic disease, and 1.5 million die yearly. Diabetes is a threat to people who still fail to cure or maintain it, so it is challenging to predict this disease accurately. The existing systems face data over-fitting issues, convergence problems, non-converging optimization complex predictions, and latent and predominant feature extraction. These issues affect the system's … …Journal of Computer Science, Vol. 20, Issue 2 · 8 Jan 2024 · 5,216 accessesView PDFCite
Research ArticleOpen accessIn the abstractSafeguarding Electronic Health Records: A Review of Privacy and Security in EHR WorkflowsGayathri Hegde M, P. Deepa Shenoy, Venugopal K RElectronic Health Records (EHRs) have revolutionized the healthcare industry by improving the accessibility to patient data, optimizing workflows and refining clinical decision making. The increasing use of digital records raises serious privacy and security concerns, particularly about healthcare data storage and management, access and retrieval, and sharing and interoperability. This survey paper comprehensively reviews existing privacy-preserving and security-enhancing approaches across … …Journal of Computer Science, Vol. 21, Issue 11 · 18 Dec 2025 · 2,244 accessesView PDFCite
Research ArticleOpen accessIn the abstractImpact of Multiplex PCR Panel on Reducing Broad-Spectrum Antibiotic Use in Ventilator-Associated PneumoniaMaría Inés Staneloni, Emilio F. Huaier Arriazu et al.The extended use of broad-spectrum antimicrobials contribute to the growing threat of antimicrobial resistance. This study evaluated the impact of a multimodal strategy aiming at reducing the duration of broad-spectrum antimicrobial therapy in Ventilator-Associated Pneumonia (VAP). Conducted in a single Intensive Care Unit (ICU), this quasi-experimental, retrospective study compares a pre-intervention period (08/01/2018-07/01/2019) with an intervention period (08/01/2022-07/01/2023). Adult patients … …American Journal of Infectious Diseases, Vol. 21, Issue 1 · 8 Jul 2025 · 6,589 accessesView PDFCite
Research ArticleOpen accessIn the abstractMachine Learning-Based Technique to Detect SQL Injection AttackMuhammad Amirulluqman Azman, Mohd Fadzli Marhusin, Rossilawati SulaimanLack of secure codes implemented in the web apps will lead to cyber-attack because of vulnerabilities. The statistic shows that highest record on the data theft related cyber-attacks are through the SQL injection technique. Hence, an effective SQL injection detection is needed in any web system to combat this threat. In this research, machine learning technique is used where training … …Journal of Computer Science, Vol. 17, Issue 3 · 27 Mar 2021 · 8,539 accessesView PDFCite
Research ArticleOpen accessIn the abstractDetection of Staphylococcus pseudintermedius in Dogs and Cats in Selangor, MalaysiaMohamed Abdelrahman Mohamed, Saleha Abd Aziz, Gurmeet Kaur Dhaliwal et al.Staphylococcus pseudintermedius is an emerging coagulase gram-positive staphylococci in dogs and cats. It has now become a threat to animal health due to its multidrug resistance leading to very limited therapeutic options particularly in the treatment of small animals and therefore, requires urgent action to control its spread. The organism is currently recognised as a significant pathogen in veterinary medicine … …American Journal of Animal and Veterinary Sciences, Vol. 15, Issue 1 · 9 Jan 2020 · 7,968 accessesView PDFCite
Research ArticleOpen accessIn the abstractDesigning a Generic Information Systems Audit Framework to Improve the Quality of Audit in Higher EducationElfadil A. Mohamed, Elgilani El. Elshareif, Omer Ishag Eldai MohamedThere are some similarities between Financial Statement Audit (FSA) and Information Systems Audit (ISA). FSA is an examination of the reliability and integrity of financial statement records, whereas ISA is a review and evaluation of the controls, risks and system development within an information systems infrastructure to ensure that the safeguards protect against abuse, protect assets, maintain data integrity and … …Journal of Computer Science, Vol. 15, Issue 5 · 10 May 2019 · 7,861 accessesView PDFCite