Anomaly Detection Using System Call Sequence Sets

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Anomaly Detection Using System Call Sequence Sets

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dc.contributor.author Poulose Jacob,K
dc.contributor.author Surekha, Mariam Varghese
dc.date.accessioned 2011-01-22T05:45:05Z
dc.date.available 2011-01-22T05:45:05Z
dc.date.issued 2007-12
dc.identifier.other JOURNAL OF SOFTWARE, VOL. 2, NO. 6, DECEMBER 2007
dc.identifier.uri http://dyuthi.cusat.ac.in/xmlui/purl/2080
dc.description.abstract This paper discusses our research in developing a generalized and systematic method for anomaly detection. The key ideas are to represent normal program behaviour using system call frequencies and to incorporate probabilistic techniques for classification to detect anomalies and intrusions. Using experiments on the sendmail system call data, we demonstrate that concise and accurate classifiers can be constructed to detect anomalies. An overview of the approach that we have implemented is provided. en_US
dc.description.sponsorship Cochin University of Science and Technology en_US
dc.language.iso en en_US
dc.publisher Academy Publisher en_US
dc.subject Intrusion en_US
dc.subject Security en_US
dc.subject Anomaly en_US
dc.title Anomaly Detection Using System Call Sequence Sets en_US
dc.type Working Paper en_US
dc.contributor.faculty Technology en_US


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