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22 articles for “Distributed Denial of Service Attacks”
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Research ArticleOpen accessIn the abstractDDoS Attack Detection Using Enhanced Neural Network Algorithm in Software-Defined NetworksHema Surendrakumar Dhadhal, Paresh P KotakWith the uncommon advancement of technology and networking, the world today is totally relying on it. The most obvious drawback of this technical progress resulted in several possible dangers. A Distributed Denial of Service (DDoS) attack is one in which a large number of compromised systems work together to prevent service from being provided to the targeted system. Consequently, to … …Journal of Computer Science, Vol. 19, Issue 6 · 24 May 2023 · 5,721 accessesView PDFCite
Review ArticleOpen accessIn the abstractAI-Based Techniques for DDoS Attack Detection in WSN: A Systematic Literature ReviewMohammed Al-Naeem, Mohammed Ashikur Rahman, Adamu AbuBakar Ibrahim, M.M. Hafizur RahmanWireless Sensor Networks (WSNs) are currently being used in various industries such as healthcare, engineering, the environment and so on. Security is a significant issue for WSN due to its infrastructure and limited physical security. Distributed Denial of Service (DDoS) is one of the most vulnerable attacks that can be defined as attacks launched from multiple ends into a set … …Journal of Computer Science, Vol. 16, Issue 6 · 29 Jun 2020 · 8,375 accessesView PDFCite
Research ArticleOpen accessIn the abstractA Novel Hybrid Method for Network Anomaly Detection Based on Traffic Prediction and Change Point DetectionMouhammd AlkasassbehIn recent years, computer networks have become more and more advanced in terms of size, applications, complexity and level of heterogeneity. Moreover, availability and performance are important issues for end users. New types of cyber-attacks that can affect and damage network performance and availability are constantly emerging and some threats, such as Distributed Denial of Service (DDoS) attacks, can be … …Journal of Computer Science, Vol. 14, Issue 2 · 3 Jan 2018 · 8,404 accessesView PDFCite
Review ArticleOpen accessIn the abstractCritical Review of Economical Denial of Sustainability (EDoS) Mitigation TechniquesParminder Singh Bawa, Selvakumar ManickamMany organizations and service providers have started shifting from traditional server-cluster infrastructure to cloud-based infrastructure. The threat of Distributed Denial of Service (DDoS) attack continues to wreak havoc in these cloud infrastructures. In addition to DDoS attacks, a new form of attack known as Economic Denial of Sustainability (EDoS) attack has emerged in recent years. EDoS which is unique to … …Journal of Computer Science, Vol. 11, Issue 7 · 29 Oct 2015 · 7,824 accessesView PDFCite
Research ArticleOpen accessIn the abstractScorpius: sFlow Network Anomaly SimulatorMarcos V.O. de Assis, Mario Lemes Proença Jr.Due to the increasing amount of data traveling computer networks every day, efficient management of this information is required to ensure the quality of the services provided by them. Development of new network management tools and mechanisms is a widely approached area due to its importance, not only to the current technology, but also to next generation network standards and … …Journal of Computer Science, Vol. 11, Issue 4 · 23 Jul 2015 · 7,528 accessesView PDFCite
Research ArticleOpen accessIn the abstractCOGNITIVE AGENTS BASED SECURITY SCHEME TO HANDLE ROUTING LOOPS IN WIRELESS NETWORKSR. Kumar, G. KousalyaRouters in wireless networks are often prone to variety of attacks like a man in the middle, distributed denial of service, smurf, ping of death, routing loops, counting to infinity. Among all these attacks routing loop is the most common one and it have a harmful effect on network performance. In this study, we have proposed a novel cognitive agents … …Journal of Computer Science, Vol. 10, Issue 9 · 19 Apr 2014 · 6,717 accessesView PDFCite
Research ArticleOpen accessIn the abstractDENIAL OF SERVICE ATTACK IN DISTRIBUTED WIRELESS NETWORK BY DISTRIBUTED JAMMER NETWORK: A BIRTH-DEATH RANDOM PROCESS ANALYSISR. Dhanasekaran, G. SingaravelLarge number of low power, tiny radio jammers are constituting a Distributed Jammer Network (DJN) is used nowadays to cause a Denial of Service (DoS) attack on a Distributed Wireless Network (DWN). Using NANO technologies, it is possible to build huge number of tiny jammers in millions, if not more. The Denial of Service (DoS) attacks in Distributed Wireless Network … …Journal of Computer Science, Vol. 10, Issue 8 · 7 Mar 2014 · 6,802 accessesView PDFCite
Research ArticleOpen accessIn the abstractMulti Directional Geographical Traceback with n Directions GeneralizationS. Karthik, V. P. Arunachalam, T. RavichandranProblem Statement: Denial of Service/Distributed Denial of Service (DoS/DDoS) attacks deny regular, internet services from being accessed by legitimate users, either by blocking the services completely, or by disturbing it completely, so as to cause customer baulking. Approach: Several traceback schemes were available to mitigate these attacks. Directional geographical traceback8 (DGT8), directional geographical trackback scheme, with 8 directions was one … …Journal of Computer Science, Vol. 4, Issue 8 · 31 Aug 2008 · 7,010 accessesView PDFCite
Research ArticleOpen accessAll words, across the recordAn Optimized Multi-Layer Perceptron Framework for Detecting and Classifying IoT AttacksSanchit Vashisht, Shalli RaniThe Internet of Things (IoT) is revolutionizing industries by connecting billions of smart devices, enabling automation and information exchange. The expansion of IoT ecosystems has simultaneously increased the surface area for cyberattacks. These environments are particularly vulnerable to a wide range of threats, such as Distributed Denial-of-Service (DDoS), poisoning, brute-force SSH intrusions, and various network reconnaissance techniques. The dynamic nature … …Journal of Computer Science, Vol. 21, Issue 12 · 11 Feb 2026 · 1,333 accessesView PDFCite
Research ArticleOpen accessAll words, across the recordDeep 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 · 5,659 accessesView PDFCite