| dc.contributor.advisor | Peter Szolovits. | en_US |
| dc.contributor.author | Hastings, Joseph R., 1980- | en_US |
| dc.contributor.other | Massachusetts Institute of Technology. Dept. of Electrical Engineering and Computer Science. | en_US |
| dc.date.accessioned | 2005-09-26T20:14:24Z | |
| dc.date.available | 2005-09-26T20:14:24Z | |
| dc.date.copyright | 2003 | en_US |
| dc.date.issued | 2004 | en_US |
| dc.identifier.uri | http://hdl.handle.net/1721.1/28399 | |
| dc.description | Thesis (M. Eng.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, February 2004. | en_US |
| dc.description | Includes bibliographical references (leaves 131-133). | en_US |
| dc.description.abstract | This thesis describes an attempt to monitor patterns of system calls generated by a Unix host in order to detect potential intrusion attacks. Sequences of system calls generated by privileged processes are analyzed using incremental Bayesian segmentation in order to detect anomalous activity. Theoretical analysis of various aspects of the algorithm and empirical analysis of performance on synthetic data sets are used to tune the algorithm for use as an Intrusion Detection System. | en_US |
| dc.description.statementofresponsibility | by Joseph R. Hastings. | en_US |
| dc.format.extent | 133 leaves | en_US |
| dc.format.extent | 6708034 bytes | |
| dc.format.extent | 6724616 bytes | |
| dc.format.mimetype | application/pdf | |
| dc.format.mimetype | application/pdf | |
| dc.language.iso | en_US | |
| dc.publisher | Massachusetts Institute of Technology | en_US |
| dc.rights | M.I.T. theses are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission. See provided URL for inquiries about permission. | en_US |
| dc.rights.uri | http://dspace.mit.edu/handle/1721.1/7582 | |
| dc.subject | Electrical Engineering and Computer Science. | en_US |
| dc.title | Incremental Bayesian segmentation for intrusion detection | en_US |
| dc.type | Thesis | en_US |
| dc.description.degree | M.Eng. | en_US |
| dc.contributor.department | Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science | |
| dc.identifier.oclc | 56979320 | en_US |
