An Intelligent ICMPv6 DDoS Flooding-Attack Detection Framework (v6IIDS) using Back-Propagation Neural Network
作者: Redhwan M. A. SaadMohammed AnbarSelvakumar ManickamEsraa Alomari
作者单位: 1National Advanced IPv6 Centre (NAv6) , Universiti Sains Malaysia (USM) , Penang , Malaysia
2Faculty of Engineering and Architecture , Ibb University , Ibb , Yemen
刊名: IETE Technical Review, 2016, Vol.33 (3), pp.244-255
来源数据库: Taylor & Francis Journal
DOI: 10.1080/02564602.2015.1098576
关键词: back-propagation algorithmintrusion detection systemICMPv6 DoS/DDoS flooding attackIPv6 securityNetwork security
原始语种摘要: ABSTRACT(#br)IPv6 was designed to solve the issue of adopting IPv4 addresses by presenting a large number of address spaces. Currently, many networking devices consider IPv6 as a supportive IPv6-enabled device that includes routers, notebooks, personal computers, and mobile phones. Security has increasingly become a significant issue in exploiting networks and obtaining the benefits of IPv6. One of the important protocols in IPv6 implementation that is used for neighbor and router discovery is ICMPv6. However, this protocol can be used by attackers to deny network services through ICMPv6 DDoS flooding attacks that decrease the network performance. To solve this problem, this study proposes an intelligent ICMPv6 DDoS flooding-attack detection framework using back-propagation neural network...
全文获取路径: Taylor & Francis  (合作)
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影响因子:0.705 (2012)

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