Resilient network coding in the presence of byzantine adversaries

Sidharth Jaggi, Michael Langberg, Sachin Katti, Tracey Ho, Dina Katabi, Muriel Medard, Michelle Effros

פרסום מחקרי: פרסום בכתב עתמאמרביקורת עמיתים


Network coding substantially increases network throughput. But since it involves mixing of information inside the network, a single corrupted packet generated by a malicious node can end up contaminating all the information reaching a destination, preventing decoding. This paper introduces distributed polynomial-time rate-optimal network codes that work in the presence of Byzantine nodes. We present algorithms that target adversaries with different attacking capabilities. When the adversary can eavesdrop on all links and jam zo links, our first algorithm achieves a rate of C- 2zo, where C is the network capacity. In contrast, when the adversary has limited eavesdropping capabilities, we provide algorithms that achieve the higher rate of C - zo. Our algorithms attain the optimal rate given the strength of the adversary. They are information-theoretically secure. They operate in a distributed manner, assume no knowledge of the topology, and can be designed and implemented in polynomial time. Furthermore, only the source and destination need to be modified; nonmalicious nodes inside the network are oblivious to the presence of adversaries and implement a classical distributed network code. Finally, our algorithms work over wired and wireless networks.

שפה מקוריתאנגלית
עמודים (מ-עד)2596-2603
מספר עמודים8
כתב עתIEEE Transactions on Information Theory
מספר גיליון6
מזהי עצם דיגיטלי (DOIs)
סטטוס פרסוםפורסם - יוני 2008

הערה ביבליוגרפית

Funding Information:
Manuscript received November 23, 2006; revised February 21, 2008. This material is based upon work supported by the Air Force Office of Scientific Research under Grant FA9550-06-1-0155, the National Science Foundation under Grants CCR-0325496 and CCF-0325324, the Chinese University of Hong Kong under Direct Grant 2050394, and Caltech’s Lee Center for Advanced Networking. The material in this paper was presented at the IEEE INFOCOM, Anchorage, AK, May 2007.

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