Paper 2011/696 Original: eprint.iacr.org/2011/696 ↗

Efficient Network Coding Signatures in the Standard Model

Dario Catalano
Dario Fiore
Bogdan Warinschi
Abstract

Network Coding is a routing technique where each node may actively modify the received packets before transmitting them. While this departure from passive networks improves throughput and resilience to packet loss it renders transmission susceptible to {\em pollution attacks} where nodes can misbehave and change in a malicious way the messages transmitted. Nodes cannot use standard signature schemes to authenticate the modified packets: this would require knowledge of the original sender's signing key. Network coding signature schemes offer a cryptographic solution to this problem. Very roughly, such signatures allow signing vector spaces (or rather bases of such spaces). Furthermore, these signatures are homomorphic: given signatures on a set of vectors it is possible to create signatures for any linear combination of these vectors. Designing such schemes is a difficult task, and the few existent constructions either rely on random oracles or are rather inefficient. In this paper we introduce two new network coding signature schemes. Both of our schemes are provably secure in the standard model, rely on standard assumptions, {\em and} are in the same efficiency class with previous solutions based on random oracles.

Metadata
Available format(s)
PDF
Category
Public-key cryptography
Publication info
Preprint.
History
2012-03-14: last updated
2011-12-23: published
Short URL
https://ia.cr/2011/696
License
https://creativecommons.org/licenses/by/4.0/

BibTeX

@misc{cryptoeprint:2011/696,
      author = {Dario Catalano and Dario Fiore and Bogdan Warinschi},
      title = {Efficient Network Coding Signatures in the Standard Model},
      howpublished = {Cryptology {ePrint} Archive, Paper 2011/696},
      year = {2011},
      url = {https://eprint.iacr.org/2011/696}
}
Note: In order to protect the privacy of readers, this archive does not use cookies or embedded third party content.