In this paper, we consider the problem of reducing the number of false positives generated by cooperative Intrusion Detection Systems (IDSs) in Mobile Ad hoc Networks (MANETs). We...
Hadi Otrok, Mourad Debbabi, Chadi Assi, Prabir Bha...
We have been developing a data mining (i.e., knowledge discovery) framework, MADAM ID, for Mining Audit Data for Automated Models for Intrusion Detection [LSM98, LSM99b, LSM99a]. ...
This paper describes a novel approach using Hidden Markov Models (HMM) to detect complex Internet attacks. These attacks consist of several steps that may occur over an extended pe...
Dirk Ourston, Sara Matzner, William Stump, Bryan H...
— Online self collision detection system for humanoid robots is an essentially important function for developing sensor based behaviors without worrying about breaking hardware. ...
Anomaly detection in IP networks, detection of deviations from what is considered normal, is an important complement to misuse detection based on known attack descriptions. Perfor...