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Cited by 324

The DOI matches its Crossref record; 9 of the 9 references it cites were found in a registry or an index.

Computer-attack graph generation tool

Swiler, L.P., Phillips, C., Ellis, D., Chakerian, S.·2002·Proceedings DARPA Information Survivability Conference and Exposition II. DISCEX'01

Abstract

This paper presents a tool for assessment of security attributes and vulnerabilities in computer networks. The tool generates attack graphs (Phillips and Swiler, 1998). Each node in the attack graph represents a possible attack state. Edges represent a change of state caused by a single action taken by the attacker or unwitting assistant, and are weighted by some metric (such as attacker effort or time to succeed). Generation of the attack graph requires algorithms that match information about attack requirements (specified in attack templates) to information about the network configuration and assumed attacker capabilities (attacker profile). The set of near-optimal shortest paths indicates the most exploitable components of the system configuration. This paper presents the status of the tool and discusses implementation issues, especially focusing on the data input needs and methods for eliminating redundant paths and nodes in the graph.

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Crossref · 10.1109/discex.2001.932182

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Metadata

Authors
Swiler, L. P., Phillips, C., Ellis, D., & Chakerian, S.
Venue
Proceedings DARPA Information Survivability Conference and Exposition II. DISCEX'01
Published
2002-11-13
Volume
2
Pages
307-321
OpenAlex
W2117694832
Cited by
324
References
9
FWCI
8.68
Type
conference paper
Language
en
Open access
closed

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CoChat. (2026). Citation check: Computer-attack graph generation tool. https://app.cochat.ai/papers/10.1109/discex.2001.932182
The paper
Swiler, L. P., Phillips, C., Ellis, D., & Chakerian, S. (2002). Computer-attack graph generation tool. Proceedings DARPA Information Survivability Conference and Exposition II. DISCEX'01. https://doi.org/10.1109/discex.2001.932182

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.