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18 results for “Attack Classification”
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Research ArticleOpen accessPhrase in the titleAmelioration of Attack Classifications for Evaluating and Testing Intrusion Detection SystemMohammed Saber, Toumi Bouchentouf, Abdelhamid Benazzi, Mostafa AziziProblem statement: The problem of the computer attack system has recently been much studied to improve the evaluation process of the Intrusion Detection Systems (IDS). Approach: This study aimed at presenting the principal attacks classifications; especially, the study of classification towards the evaluation for which we suggested some improvements that may allow the generation of a test cases selection about … …Journal of Computer Science, Vol. 6, Issue 7 · 31 Jul 2010 · 7,408 accessesView PDFCite
Research ArticleOpen accessPhrase in the titleSoft Marking Scheme of SVM Hierarchical Classifiers for Attack ClassificationAzizi Abdullah, Warhamni Jani@MokhtarClassification is a predictive modelling problem that involves assigning a class label to an instance correctly. There exist several strategies in machine learning to deal with the multi-class classification problems for attack detection. One of the popular strategies is the one-vs-one that decomposes the multi-class problem into multiple binary ones. The approach has been applied in many popular supervised learning … …Journal of Computer Science, Vol. 17, Issue 9 · 27 Sep 2021 · 6,000 accessesView PDFCite
Research ArticleOpen accessPhrase in the titleCerebrovascular Accident Attack Classification Using Multilayer Feed Forward Artificial Neural Network with Back Propagation ErrorOlatubosun Olabode, Bola Titilayo OlabodeProblem statement: Most important problems of medical diagnosis. When there is a cerebrovascular accident attach the chances of a successful treatment depends essentially on the early diagnosis. In practice the part of medical errors while diagnosing a stroke type comes to 20-45% even for experienced doctors and the scope of methods of neurovisualization at stroke diagnosis are limited. Approach: In … …Journal of Computer Science, Vol. 8, Issue 1 · 26 Oct 2011 · 7,330 accessesView PDFCite
Review ArticleOpen accessIn the keywordsToward an Online DoS/DDoS Classification: An Empirical Study for Network Intrusion Detection SystemsTran Hoang Hai, Nguyen Trong Khiem, Nguyen Huu PhucIn recent years, Distributed Denial of Services (DDoS) attacks have caused significant losses to industry and government due to an increasing number of devices connected to the Internet. These devices use services-over-Internet more frequently with services characterized and provided seamlessly by 5G, Cloud and Edge Computing. According to Cisco Annual Internet Report, the frequency of DoS/DDoS attacks has increased more … …Journal of Computer Science, Vol. 17, Issue 3 · 30 Mar 2021 · 6,972 accessesView PDFCite
Research ArticleOpen accessIn the keywordsClassification of Attacks on Embedded SystemsNoura Ouerdi, M’hammed Ziane, Abdelmalek Azizi, Mostafa AziziThe current growth of the number of Embedded Systems (ES) and their use in sensitive systems attract the attention of attackers. They are exposed to real threats and incur significant risks especially when they are involved in specific military or industrial systems. It is important to study the subject from different angles to understand, predict and learn how to protect … …Journal of Computer Science, Vol. 8, Issue 11 · 19 Sep 2012 · 6,691 accessesView PDFCite
Research ArticleOpen accessIn the abstractSmart and Secure Anomaly Detection in IoT Using Quantum Inspired Kernel Ensemble LearningAbrar M. AlajlanThe exponential growth of the Internet of Things networks has greatly increased the attack surface for cyber threats, necessitating the use of strong and perceptive anomaly detection systems. Traditional intrusion detection systems often struggle with high false alarm rates, limited generalization, and inefficiency in processing high-dimensional heterogeneous IoT data. To address this issue, a novel Hybrid Quantum-Enhanced Kernel Ensemble Learning … …Journal of Computer Science, Vol. 22, Issue 3 · 12 Mar 2026 · 1,762 accessesView PDFCite
Research ArticleOpen accessIn the abstractOnline ML Streaming-Based Leading Ensemble Classifier for Intrusion Detection in IoTNeeraj Sharma, Neelu NihalaniIn the present decade, preventing IoT networks from malicious attacks and to ensure the privacy and integrity of data by strengthening their cybersecurity perspective is a critical concern. Traditional methods alone are not sufficient to detect multiple attacks. IDS-based system plays a crucial role to maintain security due to continuous expanding nature of IoT networks. Traditional methods alone are often … …Journal of Computer Science, Vol. 21, Issue 10 · 16 Dec 2025 · 2,078 accessesView PDFCite
Research ArticleOpen accessIn the abstractA Deep Ensemble Framework for DDoS Attack Recognition and Mitigation in Cloud SDN EnvironmentS. Annie Christila, R. SivakumarMuch research has been done in the recent past on the absolute shift of Internet infrastructure in order to make it more significantly programmable, configurable and make it more conveniently feasible. Software Defined Networking (SDN) forms the basis for this absolute shift in Internet infrastructure. When you look at the benefits of an SDN-based cloud environment they are monumental. Namely, … …Journal of Computer Science, Vol. 20, Issue 10 · 5 Aug 2024 · 5,337 accessesView PDFCite
Review ArticleOpen accessIn the abstractOrganizing Classification of Application Logic Attacks in Component-based E-Commerce SystemsFaisal Nabi, Jianming Yong, Xiaohui Tao et al.This research paper addresses the topic of application logic attack taxonomy that is due to unclear and incorrect implementation in component-based applications. The issue addresses the detection and classification of two separate types of vulnerabilities in component-based applications. The paper completes this aim through organising the classification of each attack and then proposes the classification of logical vulnerabilities and discusses … …Journal of Computer Science, Vol. 17, Issue 11 · 14 Nov 2021 · 6,611 accessesView PDFCite
Research ArticleOpen accessIn the abstractA Classified Protection Protocol for RFID-based Medical SystemsXueping Ren, Ming JiangRFID technology has been used in many medical systems. The data transmitted in these medical systems is very important and sensitive. The security of these private data has a wide range of risks. Most existing protocols lack the idea of classified security protection for RFID-based medical systems. These protocols are difficult to apply directly. To address this problem, a reliable … …American Journal of Biochemistry and Biotechnology, Vol. 16, Issue 3 · 5 Aug 2020 · 6,365 accessesView PDFCite