Detecting App-DDoS Attacks Based on Marking Access and d-SVDD
In order to enhance the extensibility of current attack feature extracted and detection means for App-DDoS(Application Layer Distributed Denial of Service,App-DDoS)attacks,a novel feature extracted method based on marking access and a new detection algorithm named d-SVDD are proposed.After expressing kinds of App-DDoS attacks as characteristic vectors by access marked strategy and feature extracted strategy,d-SVDD algorithm is used for secondary classification and detection of pre-set area around decision boundary based on SVDD.It is proved by experiments that the proposed feature extracted and detection means can realize effective detection for kinds of App-DDoS attacks,both have satisfying time,space and extensibility performance.
App-DDoS attack Marking access d-SVDD Anomaly detection
LI Jin-ling WANG Bin-qiang
National Digital Switching System Engineering & Technological R&D Center Zhengzhou, China
国际会议
太原
英文
728-732
2013-04-06（万方平台首次上网日期，不代表论文的发表时间）