A Novel Approach for Countering Application Layer DDoS Attacks
With the vast resource and techniques increasingly available to attackers,application layer DDoS(App-DDoS)attacks have become a serious threat to webserver.In order to deal with this kind of complex and varied attacks,a novel approach based on time series prediction model is proposed,which includes the following work: Firstly,App-DDoS attacks are divided into flooding attacks and asymmetric attacks,based on attack resource expenditure and attack strategy.Secondly,we put forward two time series detection models: multi-features information entropy predict model for flooding attacks and second-order Markov predict model for asymmetric attacks.Finally,experimental results show that the proposed methods have a significant advantage in the detection rate and false positive rate.
Anomaly detection distributed denail of service (DDoS) application layer attacks
Yadong Wang Lianzhong Liu Chengxiang Si Bo Sun
School of Computer Science and Engineering Beihang University Beijing,China National Computer Network Emergency Response Technical Team/Coordination Center of China Beijing,Chi
国际会议
重庆
英文
1814-1817
2017-03-25（万方平台首次上网日期，不代表论文的发表时间）