The custom, ad hoc nature of web applications makes learning-based anomaly detection systems a suitable approach to provide early warning about the exploitation of novel vulnerabi...
William K. Robertson, Giovanni Vigna, Christopher ...
Abstract-- We investigate statistical anomaly detection algorithms for detecting SYN flooding, which is the most common type of Denial of Service (DoS) attack. The two algorithms c...
Wide applications of Wireless Sensor Networks also make them more interesting to adversaries. WSNs' protocols are designed without security in mind so they are susceptible to ...
Tran Van Phuong, Hung Le Xuan, Seong Jin Cho, Youn...
Abstract. In this paper, we propose a new unsupervised anomaly detection framework for detecting network intrusions online. The framework consists of new anomalousness metrics name...