中圖分類(lèi)號(hào)： TP393 文獻(xiàn)標(biāo)識(shí)碼： A DOI： 10.19358/j.issn.2096-5133.2021.10.005 引用格式： 李俊鵬，朱廣宇，李維皓，等. 基于DDoS攻擊關(guān)聯(lián)化變權(quán)評(píng)估算法[J].信息技術(shù)與網(wǎng)絡(luò)安全，2021，40(10)：29-37.
A correlative weight-awarded assessment algorithm of DDoS attack
Li Junpeng1，Zhu Guangyu1，Li Weihao1，Cao Jin2
(1.National Computer System Engineering Research Institute of China，Beijing 100083，China； 2.Xidian University，Xi′an 710071，China)
Abstract： Internet attacks usually appear in our daily life, threating users′ information security. In this paper, we focus on distributed denial of service attack, and propose a correlative weight-awarded assessment algorithm of DDoS attack, combing D-number theory and variable weight principle. We consider two aspects to construct our algorithm, including weight awareness and element correlation. In the different scenarios, the existing algorithms utilized stable weight to various attack effects, leading to unreasonable assessment results. Therefore, we employ variable weight principle to define value of element of assessment tree, and utilize D-number theory to guarantee quantification. Furthermore, we consider the relationship between data and elements to design the assessment tree. Finally,we employ simulation evaluation to prove the efficiency and effectiveness of our algorithm with less time consumption.
Key words : DDoS；attack assessment；D-number theory；variable weight principle；information entropy
