ITCRMay 7, 2013

Centralized and Cooperative Transmission of Secure Multiple Unicasts using Network Coding

arXiv:1305.1415v110 citations
Originality Incremental advance
AI Analysis

This addresses secure and efficient communication in wireless networks for applications like content distribution, though it is incremental as it builds on existing network coding techniques.

The paper tackles secure delivery of distinct messages to multiple clients over a broadcast erasure channel, using a variant of random linear network coding with private decoding coefficients to ensure security against attacks. It proposes centralized and decentralized retransmission methods, with analytical approximations and simulations showing increased throughput, such as performance evaluations for instantly decodable network coded retransmissions.

We introduce a method for securely delivering a set of messages to a group of clients over a broadcast erasure channel where each client is interested in a distinct message. Each client is able to obtain its own message but not the others'. In the proposed method the messages are combined together using a special variant of random linear network coding. Each client is provided with a private set of decoding coefficients to decode its own message. Our method provides security for the transmission sessions against computational brute-force attacks and also weakly security in information theoretic sense. As the broadcast channel is assumed to be erroneous, the missing coded packets should be recovered in some way. We consider two different scenarios. In the first scenario the missing packets are retransmitted by the base station (centralized). In the second scenario the clients cooperate with each other by exchanging packets (decentralized). In both scenarios, network coding techniques are exploited to increase the total throughput. For the case of centralized retransmissions we provide an analytical approximation for the throughput performance of instantly decodable network coded (IDNC) retransmissions as well as numerical experiments. For the decentralized scenario, we propose a new IDNC based retransmission method where its performance is evaluated via simulations and analytical approximation. Application of this method is not limited to our special problem and can be generalized to a new class of problems introduced in this paper as the cooperative index coding problem.

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