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Abstract: A masquerade attack, in which one user impersonates another, can be the most serious form of computer abuse. Automatic discovery of masqueraders is sometimes undertaken by detecting significant departures from normal user behavior, as represented by a user profile formed from system audit data. While the success of this approach has been limited, the reasons for its unsatisfying performance are not obvious, possibly because most reports do not elucidate the origins of errors made by the... (Update)
Context of citations to this paper: More
.... Designing algorithms to distinguish legitimate users and masqueraders based on user signatures has been extensively studied [13][15] In this paper, we propose a new algorithm that uses pair wise sequence alignment to characterize similarity between sequences of...
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BibTeX entry: (Update)
Maxion, R. A. and Townsend, T. N. Masquerade detection using truncated command lines. Proceeedings of the International Conference on Dependable Systems and Networks (DSN-02), 219-228, Washington, D.C., June 2002. IEEE Computer Society Press, Los Alamitos, California. http://citeseer.ist.psu.edu/maxion02masquerade.html More
@misc{ maxion02masquerade,
author = "R. Maxion and T. Townsend",
title = "Masquerade detection using truncated command lines",
text = "Maxion, R. A. and Townsend, T. N. Masquerade detection using truncated
command lines. Proceeedings of the International Conference on Dependable
Systems and Networks (DSN-02), 219-228, Washington, D.C., June 2002. IEEE
Computer Society Press, Los Alamitos, California.",
year = "2002",
url = "citeseer.ist.psu.edu/maxion02masquerade.html" }
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