西安电子科技大学学报（自然科学版）2018，Vol.45Issue(1)：140-144,5.DOI:10.3969/j.issn.1001-2400.2018.01.025
采用符号动力学方法检测低速率拒绝服务攻击
Low-rate-denial-of-service attack detection by symbolic dynamics method
摘要
Abstract
In terms of the network security problem caused by Low-rate-Denial-of-Service attack, this paper proposes a symbolic dynamics method to detect such attacks.The number of packets sampled signals is transferred into the symbol sequence and the calculate the entropy corresponding to the symbol sequence. There is a significant increase in packets number signal information complexity caused by Low-rate-Denial-of-Service attack arrival,which can be compared with a default entropy threshold for recognition.We verify the algorithm in the simulation environment and the actual test servers respectively and the experimental results show that the proposed algorithm has an average accuracy of 92% to achieve the Low-rate-Denial-of-Service attack recognition.关键词
低速拒绝服务攻击/符号动力学/熵/信息复杂度/阈值/网络安全Key words
low-rate-denial-of-service attack/symbolic dynamics/entropy/information complexity/threshold/network security分类
信息技术与安全科学引用本文复制引用
杨宝旺..采用符号动力学方法检测低速率拒绝服务攻击[J].西安电子科技大学学报（自然科学版）,2018,45(1):140-144,5.基金项目
国家自然科学基金资助项目(61573235) （61573235）
