Network intrusions have been a fact of life in the Internet for many years. However, as is the case with many other types of Internet-wide phenomena, gaining insight into the glob...
Traditional Intrusion Detection Systems (IDSs) mostly work off-line, without any direct runtime interaction or coordination with the applications (and with other IDSs) that they a...
Joseph P. Loyall, Partha Pratim Pal, Richard E. Sc...
ORCHIDS is an intrusion detection tool based on techniques for fast, on-line model-checking. Temporal formulae are taken from a temporal logic tailored to the description of intrus...
Machine learning has great utility within the context of network intrusion detection systems. In this paper, a behavior analysis-based learning framework for host level network in...
Haiyan Qiao, Jianfeng Peng, Chuan Feng, Jerzy W. R...
—Cooperation between intrusion detection systems (IDSs) allows collective information and experience from a network of IDSs to be shared to improve the accuracy of detection. A c...
Carol J. Fung, Quanyan Zhu, Raouf Boutaba, Tamer B...