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An information flow method to detect denial of service vulnerabilities

Stéphane Lafrance et John Mullins

Article de revue (2003)

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Abstract

Meadows recently proposed a formal cost-based framework for the analysis of denial of service, showing how to formalize some existing principles used to make cryptographic protocols more resistant to denial of service by comparing the cost to the defender against the cost to the attacker. The first contribution of this paper is to introduce a new security property called impassivity designed to capture the ability of a protocol to achieve these goals in the framework of a generic value-passing process algebra called Security Process Algebra ( SPPA) extended with local function calls, cryptographic primitives and special semantic features in order to handle cryptographic protocols. Impassivity is defined as an information flow property founded on bisimulation-based non-deterministic admissible interference. A sound and complete proof method for impassivity is provided. The method extends previous results of the authors on bisimulation-based non-deterministic admissible interference and its application to the analysis of cryptographic protocols. It is illustrated by its application to the TCP/IP protocol.

Mots clés

Denial of service; Protocols; Admissible interference; Bisimulation; Equivalence-checking

Sujet(s): 2700 Technologie de l'information > 2700 Technologie de l'information
2700 Technologie de l'information > 2706 Génie logiciel
2700 Technologie de l'information > 2713 Algorithmes
Département: Département de génie informatique et génie logiciel
URL de PolyPublie: https://publications.polymtl.ca/3381/
Titre de la revue: Journal of Universal Computer Science (vol. 9, no 11)
Maison d'édition: J.UCS Consortium
DOI: 10.3217/jucs-009-11-1350
URL officielle: https://doi.org/10.3217/jucs-009-11-1350
Date du dépôt: 17 janv. 2019 15:18
Dernière modification: 11 avr. 2024 08:52
Citer en APA 7: Lafrance, S., & Mullins, J. (2003). An information flow method to detect denial of service vulnerabilities. Journal of Universal Computer Science, 9(11), 1350-1369. https://doi.org/10.3217/jucs-009-11-1350

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