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Dueling-Hmm Analysis On Masquerade Detection, Peter Chou
Dueling-Hmm Analysis On Masquerade Detection, Peter Chou
Master's Projects
Masquerade detection is the ability to detect attackers known as masqueraders that intrude on another user’s system and pose as legitimate users. Once a masquerader obtains access to a user’s system, the masquerader has free reign over whatever data is on that system. In this research, we focus on masquerade detection and user classi cation using the following two di erent approaches: the heavy hitter approach and 2 di erent approaches based on hidden Markov models (HMMs), the dueling-HMM and threshold-HMM strategies.
The heavy hitter approach computes the frequent elements seen in the training data sequence and test data sequence …