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...
Data mining for intrusion detection can be divided into several sub-topics, among which unsupervised clustering has controversial properties. Unsupervised clustering for intrusion...
— This paper describes the design and implementation of a protocol scrubber, a transparent interposition mechanism for explicitly removing network attacks at both the transport a...
G. Robert Malan, David Watson, Farnam Jahanian, Pa...
Today's Internet intrusion detection systems (IDSes) monitor edge networks' DMZs to identify and/or filter malicious flows. While an IDS helps protect the hosts on its l...
Auto-ID technologies allow capturing the time and location of products in the supply chain for tracking and tracing. This paves the way for a variety of business applications, suc...