Kephart, Jeffrey O., Sorkin, Gregory B. 
ORCID: 0000-0003-4935-7820, Arnold, William C., Chess, David M., Tesauro, Gerald J. and White, Steve R.
(1995)
Biologically inspired defenses against computer viruses.
In: The Fourteenth International Joint Conference on Artificial Intelligence, 1995-08-20 - 1995-08-25, Quebec, Canada, CAN.
Abstract
Today's anti-virus technology, based largely on analysis of existing viruses by human experts, is just barely able to keep pace with the more than three new computer viruses that are written daily. In a few years, intelligent agents navigating through highly connected networks are likely to form an extremely fertile medium for a new breed of viruses. At IBM, we are developing novel, biologically inspired anti-virus techniques designed to thwart both today's and tomorrow's viruses. Here we describe two of these: a neural network virus detector that learns to discriminate between infected and uninfected programs, and a computer immune system that identifies new viruses, analyzes them automatically, and uses the results of its analysis to detect and remove all copies of the virus that are present in the system. The neural-net technology has been incorporated into IBM's commercial anti-virus product; the computer immune system is in prototype.
| Item Type: | Conference or Workshop Item (Paper) |
|---|---|
| Official URL: | http://ijcai.org/Past%20Proceedings/IJCAI-95-VOL%2... |
| Additional Information: | © 1995 The Authors |
| Divisions: | Management |
| Subjects: | Q Science > QA Mathematics > QA75 Electronic computers. Computer science |
| Date Deposited: | 16 May 2011 12:55 |
| Last Modified: | 12 Dec 2024 04:37 |
| URI: | http://eprints.lse.ac.uk/id/eprint/35899 |
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