Papers
Topics
Authors
Recent
Gemini 2.5 Flash
Gemini 2.5 Flash
97 tokens/sec
GPT-4o
53 tokens/sec
Gemini 2.5 Pro Pro
43 tokens/sec
o3 Pro
4 tokens/sec
GPT-4.1 Pro
47 tokens/sec
DeepSeek R1 via Azure Pro
28 tokens/sec
2000 character limit reached

Universal Secure Error-Correcting Schemes for Network Coding (1001.3387v1)

Published 19 Jan 2010 in cs.IT, cs.CR, and math.IT

Abstract: This paper considers the problem of securing a linear network coding system against an adversary that is both an eavesdropper and a jammer. The network is assumed to transport n packets from source to each receiver, and the adversary is allowed to eavesdrop on \mu arbitrarily chosen links and also to inject up to t erroneous packets into the network. The goal of the system is to achieve zero-error communication that is information-theoretically secure from the adversary. Moreover, this goal must be attained in a universal fashion, i.e., regardless of the network topology or the underlying network code. An upper bound on the achievable rate under these requirements is shown to be n-\mu-2t packets per transmission. A scheme is proposed that can achieve this maximum rate, for any n and any field size q, provided the packet length m is at least n symbols. The scheme is based on rank-metric codes and admits low-complexity encoding and decoding. In addition, the scheme is shown to be optimal in the sense that the required packet length is the smallest possible among all universal schemes that achieve the maximum rate.

User Edit Pencil Streamline Icon: https://streamlinehq.com
Authors (2)
  1. Danilo Silva (35 papers)
  2. Frank R. Kschischang (62 papers)
Citations (17)

Summary

We haven't generated a summary for this paper yet.