Computer Intrusion: Detecting Masquerades
Schonlau, Matthias ; DuMouchel, William ; Ju, Wen-Hua ; Karr, Alan F. ; Theusan, Martin ; Vardi, Yehuda
Statist. Sci., Tome 16 (2001) no. 2, p. 58-74 / Harvested from Project Euclid
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Masqueraders in computer intrusion detection are people who use somebody else’s computer account. We investigate a number of statistical approaches for detecting masqueraders. To evaluate them, we collected UNIX command data from 50 users and then contaminated the data with masqueraders. The experiment was blinded. We show results from six methods, including two approaches from the computer science community.
Publié le : 2001-02-14
Classification:  anomaly,  Bayes,  compression,  computer security,  high­order Markov,  profiling,  Unix 
@article{998929476,
     author = {Schonlau, Matthias and DuMouchel, William and Ju, Wen-Hua and Karr, Alan F. and Theusan, Martin and Vardi, Yehuda},
     title = {Computer Intrusion: Detecting Masquerades},
     journal = {Statist. Sci.},
     volume = {16},
     number = {2},
     year = {2001},
     pages = { 58-74},
     language = {en},
     url = {http://dml.mathdoc.fr/item/998929476}
}

Schonlau, Matthias; DuMouchel, William; Ju, Wen-Hua; Karr, Alan F.; Theusan, Martin; Vardi, Yehuda. Computer Intrusion: Detecting Masquerades. Statist. Sci., Tome 16 (2001) no. 2, pp.  58-74. http://gdmltest.u-ga.fr/item/998929476/