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Worm anatomy and model
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Source Workshop on Rapid Malcode archive
Proceedings of the 2003 ACM workshop on Rapid malcode table of contents
Washington, DC, USA
SESSION: Formation and simulation table of contents
Pages: 42 - 50  
Year of Publication: 2003
ISBN:1-58113-785-0
Author
Dan Ellis  The MITRE Corporation, McLean, VA
Sponsors
SIGSAC: ACM Special Interest Group on Security, Audit, and Control
ACM: Association for Computing Machinery
Publisher
ACM  New York, NY, USA
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Downloads (6 Weeks): 10,   Downloads (12 Months): 143,   Citation Count: 3
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ABSTRACT

We present a general framework for reasoning about network worms and analyzing the potency of worms within a specific network. First, we present a discussion of the life cycle of a worm based on a survey of contemporary worms. We build on that life cycle by developing a relational model that associates worm parameters, attributes of the environment, and the subsequent potency of the worm. We then provide a worm analytic framework that captures the generalized mechanical process a worm goes through while moving through a specific environment and its state as it does so. The key contribution of this work is a worm analytic framework. This framework can be used to evaluate worm potency and develop and validate defensive countermeasures and postures in both static and dynamic worm conflict. This framework will be implemented in a modeling and simulation language in order to evaluate the potency of specific worms within an environment.


REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

 
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Stuart Staniford-Chen, R. Crawford, M. Dilger, J. Frank, J. Hoagland, K. Levitt, D. Zerkle, "GrIDS A Graph-Based Intrusion Detection System for Large Networks", In the Proceedings of the 19th National Information Systems Security Conference, 1996.
 
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Robert Baldwin, Rule Based Analysis of Computer Security. PhD Thesis, MIT EE, June 1987.
 
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Dan Zerkle, Karl Levitt, "NetKuang -- A Multi-Host Configuration Vulnerability Checker", In 6th USENIX Security Symposium, San Jose, California, July 1996.
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J. O. Kephat, S. R. White, "Directed-graph Epidemiological Models of Computer Viruses", Proceedings of the 1991 IEEE Computer Society Symposium on Research in Security and Privacy, pp. 343--359.
 
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