文章基本信息

标题：Evaluation of Flow and Average Entropy Based Detection Mechanism for DDoS Attacks using NS-2
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作者：Raghav Vadehra ; Manjit Singh ; Butta Singh 等
期刊名称：International Journal of Security and Its Applications
印刷版ISSN：1738-9976
出版年度：2016
卷号：10
期号：5
页码：139-146
DOI：10.14257/ijsia.2016.10.5.13
出版社：SERSC
摘要：Distributed Denial of Service (DDoS) attacks has started posing a serious threat to all sorts of businesses, which have used the power of internet to their credit. DDoS attacks have put a big question mark on the capabilities and reliability of the World Wide Web. The use of supreme techniques to combat the DDoS attacks has not been substantial enough to fight the distributed nature of attacks. Hackers have been successful in blocking the services and flooding traffic to servers, in spite of a tight check on the network. Thus, in the view of personal data being present on the web and the threat to global economy worth million dollars, it becomes really important to devise some new techniques that are self-capable enough to capture, trace and nullify the dangers posed by such attacks. This term paper talks about such solutions to combat DDoS attacks. Here, the flow entropy in combination with average entropy technique is used to detect an attack. It highlights how the loop holes of one technique are covered by the other, resulting in a considerable improvisation in the methods of how we deal with these attacks.
关键词：DDoS attacks; Flow Entropy; Average Entropy; Botnet