Uncovering Anomaly Traffic Based on Loss of Self-Similarity Behavior Using Second Order Statistical Model

摘要

Malicious traffic such as denial of service (DoS) attack has potential to introduce distribution error and perturbs the self-similarity property of network traffic. As a result, loss of self-similarity (LoSS) is detected which indicates poor quality of se