4 results for “Flood Attacks”

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Research ArticleOpen accessPhrase in the titleDETECTION OF FLOOD ATTACKS IN DTN USING RATE LIMITER TECHNIQUEC. Balamurugan, M. Viswanathan, T. Abhishek Kumar, G. S. RajFlood attacks means a network becomes so weighed down with packets, caused by the attackers. It prevents packets being sent/received between the nodes in the network. There are many methods adopted to prevent flood attacks in other networks, but none has been installed successfully for DTN’s. Disruption tolerant network is a network, developed in such a manner that intermittent communication … …Journal of Computer Science, Vol. 10, Issue 7 · 19 Feb 2014 · 6,980 accessesView PDF Cite

Research ArticleOpen accessIn the keywordsFlooding Distributed Denial of Service Attacks-A ReviewKhadijah Wan Mohd Ghazali, Rosilah HassanProblem statement: Flaws either in users’ implementation of a network or in the standard specification of protocols has resulted in gaps that allow various kinds of network attack to be launched. Of the kinds of network attacks, denial-of-service flood attacks have caused the most severe impact. Approach: This study reviews recent researches on flood attacks and their mitigation, classifying such … …Journal of Computer Science, Vol. 7, Issue 8 · 15 Jul 2011 · 6,847 accessesView PDF Cite

Research ArticleOpen accessIn the abstractAutoencoder-Based Intrusion Detection for ARP Poisoning in SDN ControllersKago Seemela, Banyatsang Mphago, Thabo Semong, Phephisa MethulaAddress Resolution Protocol (ARP) poisoning is still a critical control plane attack in Software Defined Networks (SDNs), and spoofing of ARP mappings can trick SDNs controller and accomplish man in the middle, eavesdropping and denial of service attacks. Current SDN intrusion detection systems of ARP attacks rely on supervised learning and labelled attack data which is rather expensive and not … …Journal of Computer Science, Vol. 22, Issue 7 · 21 Jul 2026 · 869 accessesView PDF Cite

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 PDF Cite