Statistical Science

Computer Intrusion: Detecting Masquerades

William DuMouchel, Wen-Hua Ju, Alan F. Karr, Matthias Schonlau, Martin Theusan, and Yehuda Vardi

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Abstract

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.

Article information

Source
Statist. Sci., Volume 16, Number 1 (2001), 58-74.

Dates
First available in Project Euclid: 27 August 2001

Permanent link to this document
https://projecteuclid.org/euclid.ss/998929476

Digital Object Identifier
doi:10.1214/ss/998929476

Mathematical Reviews number (MathSciNet)
MR1855740

Zentralblatt MATH identifier
1059.62758

Keywords
anomaly Bayes compression computer security high­order Markov profiling Unix

Citation

Schonlau, Matthias; DuMouchel, William; Ju, Wen-Hua; Karr, Alan F.; Theusan, Martin; Vardi, Yehuda. Computer Intrusion: Detecting Masquerades. Statist. Sci. 16 (2001), no. 1, 58--74. doi:10.1214/ss/998929476. https://projecteuclid.org/euclid.ss/998929476


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