Common practice in anomaly-based intrusion detection assumes that one size fits all: a single anomaly detector should detect all anomalies. Compensation for any performance short...
Intrusion detection systems are fundamentally passive and fail–open. Because their primary task is classification, they do nothing to prevent an attack from succeeding. An intru...
Michael E. Locasto, Ke Wang, Angelos D. Keromytis,...
Visualized information is a technique that can encode large amounts of complex interrelated data, being at the same time easily quantified, manipulated, and processed by a human us...
In 2002, DARPA put together a challenging proposition to the research community: demonstrate using an existing information system and available DARPA developed and other COTS tech...
Paul Rubel, Michael Atighetchi, Partha Pratim Pal,...
—Network Intrusion Detection System (NIDS) is a system which can detect network attacks resulted from worms and viruses on the Internet. An efficient pattern matching algorithm p...