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Coding against a Limited-view Adversary: The Effect of Causality and Feedback

2015/04/22 by Qiaosheng Zhang, Zhang, Qiaosheng, Swanand Kadhe +7 · 1 citation
Computer Science · Engineering · Mathematics · #Cooperative Communication and Network Coding #Error Correcting Code Techniques #FOS: Computer and information sciences #Information Theory (cs.IT) #Wireless Communication Security Techniques #cs.IT #math.IT

paper · pdf · doi:10.48550/arxiv.1504.05984

15 pages

openalex publication_date 2015/04/22 · arxiv created 2015/08/06 · arxiv updated 2015/08/07 · openalex created_date 2016/06/24 · openalex updated_date 2026/07/28

Abstract

We consider the problem of communication over a multi-path network in the presence of a causal adversary. The limited-view causal adversary is able to eavesdrop on a subset of links and also jam on a potentially overlapping subset of links based on the current and past information. To ensure that the communication takes place reliably and secretly, resilient network codes with necessary redundancy are needed. We study two adversarial models - additive and overwrite jamming and we optionally assume passive feedback from decoder to encoder, i.e., the encoder sees everything that the decoder sees. The problem assumes transmissions are in the large alphabet regime. For both jamming models, we find the capacity under four scenarios - reliability without feedback, reliability and secrecy without feedback, reliability with passive feedback, reliability and secrecy with passive feedback. We observe that, in comparison to the non-causal setting, the capacity with a causal adversary is strictly increased for a wide variety of parameter settings and present our intuition through several examples.

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