Intrusion detection of masqueraders using data mining and soft computing techniques
Yingbing Yu · Journal of computing sciences in colleges · 2015
Intrusion detection systems can be used to build a user profile and a large deviation from the past behavior patterns indicates a possible illegal access from a masquerader. In this paper, we introduce the user profiling method based on command sequences generated and apply the Naive Bayes classification to measure the degree of deviation from the normal behavior patterns. A fuzzy system is presented to integrate multiple commands execution to evaluate the overall threat of the possible masquerader existence. Experiments results show promising results with a high detection rate and a low false alarm rate.