Title :
Detection of Low-rate DDoS Attack Based on Self-Similarity
Author :
Sheng, Zhang ; Qifei, Zhang ; Xuezeng, Pan ; Xuhui, Zhu
Author_Institution :
Coll. of Comput. Sci. & Technol., Zhejiang Univ., Hangzhou, China
Abstract :
Distributed Denial-of-Service (DDos) attack is one of the high threats to the Internet. This paper proposes a measure based on Hurst coefficient to detect DDoS on Low-rate. The result of experiments shows that the measure can detect the DDoS intrusion hided in the normal data traffic in real time.
Keywords :
security of data; signal detection; telecommunication security; telecommunication traffic; transport protocols; Hurst coefficient; data traffic; distributed denial-of-service attack; low-rate DDoS attack; self-similarity; Computer crime; DDoS; Detect; Hurst coefficient; Low-rate; Self-Similarity;
Conference_Titel :
Education Technology and Computer Science (ETCS), 2010 Second International Workshop on
Conference_Location :
Wuhan
Print_ISBN :
978-1-4244-6388-6
Electronic_ISBN :
978-1-4244-6389-3
DOI :
10.1109/ETCS.2010.476
