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...
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...
We introduce a technique for detecting anomalous patterns in a categorical feature (one that takes values from a finite alphabet). It differs from most anomaly detection methods u...
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...
Since current internet threats contain not only malicious codes like Trojan or worms, but also spyware and adware which do not have explicit illegal content, it is necessary to hav...