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12th IEEE International Conference on Network Protocols (ICNP'04)   pp. 218-227
Trading Resiliency for Security: Model and Algorithms

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DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/ICNP.2004.1348112
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Abstract
An attack-resistant network is a purpose-built network to survive attacks; by construction, it should be both resilient and secure. Resiliency is the ability to provide alternative communication paths should one path become disrupted due to failures or attacks; while security is the ability to contain and limit the impact of compromises. Interestingly, these two can present conflicting demands. In this paper, we provide a first formulation of a new class of problems focusing on the engineering of attack-resistant networks. Our model considers both resiliency and security, and uses a notion of blocking probability as a rigorous measure for evaluating different network constructions. We propose several efficient approximation algorithms for computing blocking probability and provide bounds for their errors. Based on these algorithms, we introduce a family of heuristics to guide the construction of optimal attack-resistant networks with minimum blocking probabilities. We also present extensive results to evaluate and demonstrate the near-optimal performance of our heuristics and approximation algorithms.
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Citation:  Tian Bu, Samphel Norden, Thomas Woo, "Trading Resiliency for Security: Model and Algorithms," icnp, pp. 218-227,  12th IEEE International Conference on Network Protocols (ICNP'04),  2004

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