Secure Network Coding over the Integers
Network coding offers the potential to increase throughput and improve robustness without any centralized control. Unfortunately, network coding is highly susceptible to “pollution attacks” in which malicious nodes modify packets improperly so as to prevent message recovery at the recipient(s); such attacks cannot be prevented using standard end-to-end cryptographic authentication because network coding mandates that intermediate nodes modify data packets in transit.
Specialized “network coding signatures” addressing this problem have been developed in recent years using homomorphic hashing and homomorphic signatures. We contribute to this area in several ways:
We show the first homomorphic signature scheme based on the RSA assumption (in the random oracle model).
We give a homomorphic hashing scheme that is more efficient than existing schemes, and which leads to network coding signatures based on the hardness of factoring (in the standard model).
We describe variants of existing schemes that reduce the communication overhead for moderate-size networks, and improve computational efficiency (in some cases quite dramatically – e.g., we achieve a 20-fold speedup in signature generation at intermediate nodes).
Underlying our techniques is a modified approach to random linear network coding where instead of working in a vector space over a field, we work in a module over the integers (with small coefficients).
- Secure Network Coding over the Integers
- Book Title
- Public Key Cryptography – PKC 2010
- Book Subtitle
- 13th International Conference on Practice and Theory in Public Key Cryptography, Paris, France, May 26-28, 2010. Proceedings
- pp 142-160
- Print ISBN
- Online ISBN
- Series Title
- Lecture Notes in Computer Science
- Series Volume
- Series ISSN
- Springer Berlin Heidelberg
- Copyright Holder
- International Association for Cryptologic Research
- Additional Links
- Industry Sectors
- eBook Packages
- Editor Affiliations
- 16. Département d’Informatique, École Normale Supérieure
- Author Affiliations
- 17. IBM T.J. Watson Research Center, Hawthorne, NY
- 18. Department of Computer Science, University of Maryland,
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