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69 articles for “Attack Detection”
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Research ArticleOpen accessPhrase in the titleA Novel Packet Marketing Method in DDoS Attack DetectionChanghyun Beak, Junaid Ahsenali Chaudhry, Keonsoo Lee et al.Functionality and availability are one of the main characteristics of internet and hence very inviting for attackers to try to provoke a denial-of-service attack. As the intensity and frequency of DDoS attacks has increased, various preventive mechanisms have also been proposed. One of the most effective defence mechanisms proposed was Path Identification (Pi). This method tracks the packet transmission path. … …American Journal of Applied Sciences, Vol. 4, Issue 10 · 31 Oct 2007 · 7,078 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleA Comprehensive Review and Performance Evaluation of Detection Techniques of Black Hole Attack in MANETNaveen Hemrajani, Sunil Kumar JangirMobile Ad Hoc Network (MANET) is an auto Configuring network. Due to its natural characteristics, a MANET is vulnerable to many security threats. Blackhole attack compromises the performance and the reliability of the network. Since nodes are allowed to move freely within the network, it becomes very important to protect the communication among mobile nodes for the sake of security. … …Journal of Computer Science, Vol. 13, Issue 10 · 18 Oct 2017 · 7,737 accessesView PDFCite
Research ArticleOpen accessEvery word 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 · 7,413 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleDeep Regularization Mechanism for Combating Class Imbalance Problem in Intrusion Detection System for Defending DDoS Attack in SDNNarender M, Yuvaraju B NIntegration of deep learning into Intrusion Detection Systems (IDS) for Software Defined Networking (SDN) is an emerging field of research. Most of the datasets used to build IDS are highly imbalanced, especially in the case of DDoS attacks, which account for a larger percentage of malicious samples than normal traffic. As a result of a class imbalance, the classification result … …Journal of Computer Science, Vol. 19, Issue 3 · 24 Feb 2023 · 5,668 accessesView PDFCite
Research ArticleOpen accessIn the keywordsGenerating IoT Specific Anomaly Datasets Using Cooja Simulator (Contiki-OS) and Performance Evaluation of Deep Learning Model Coupled with Aquila OptimizerVandana Choudhary, Sarvesh Tanwar, Tanupriya ChoudhuryIn recent times, the massive expansion of the Internet of Things (IoT) has transformed various facets of everyday life and industries. The compelling cause behind the widespread adoption of IoT is the increasing availability of affordable, compact, and energy-efficient computing devices. While these devices offer significant benefits, they also raise substantial security and privacy challenges. Consequently, safeguarding IoT networks and … …Journal of Computer Science, Vol. 20, Issue 4 · 1 Feb 2024 · 6,853 accessesView PDFCite
Research ArticleOpen accessIn the keywordsSoft 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 · 6,006 accessesView PDFCite
Research ArticleOpen accessIn the keywordsLiveness Detection from Real user, Printed Pictures and Pictures on Mobile Devices from Low Resolution WebcamHajer Mohamed H Ben Amer, Dr. Leelavathi Rajamanickam, Dr. Anas A. AbboudBiometrics data have emerged as one of the most widely used technologies for validation of identity in various sectors. Nevertheless, spoof biometric data are used by attackers to get access to their targets. Hence, a number of approaches have been initiated to detect these spoofed biometric data. As such, this article proposed a complete methodology for liveness detection using low … …Journal of Computer Science, Vol. 13, Issue 9 · 26 Sep 2017 · 7,692 accessesView PDFCite
Research ArticleOpen accessIn the keywordsINTRUSION DETECTION SYSTEM IN SECURE SHELL TRAFFIC IN CLOUD ENVIRONMENTMehdi Barati, Azizol Abdullah, NurIzura Udzir et al.Due to growth of Cloud computing usage, the need to apply encrypted protocols to provide confidentiality and integrity of data increases dramatically. Attacker can take advantage of these protocols to hide the intrusion and evade detection. Many traditional attack detection techniques have been proposed to provide security in the networks but none of them can be implemented properly in encrypted … …Journal of Computer Science, Vol. 10, Issue 10 · 26 Jun 2014 · 7,856 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 · 6,975 accessesView PDFCite
Research ArticleOpen accessIn the abstractA Scalable Hybrid CNN-LSTM and SDN Based Architecture for Real-Time DDoS Defence in IoT and Cloud NetworksSujit Sutradhar, Joy Lal Sarkar, Rajesh Kumar VermaDistributed Denial-of-Service (DDoS) is one of the most significant threats to the security of IoT, cloud, and Software-Defined Network (SDN) environments because it can aggravate network unavailability and disrupt the continuity of services. This study presents a hybrid CNN-LSTM-based DDoS detection and mitigation system for real-time DDoS detection in the context of heterogeneous network environments, which is integrated with SDN … …Journal of Computer Science, Vol. 22, Issue 10 · 19 Oct 2026 · 535 accessesView PDFCite