Secure Multicast Communications with Private Jammers

Kanapathippillai Cumanan, Zhiguo Ding1, Mai Xu, H. Vincent Poor2

  • 1Lancaster University
  • 2Princeton University

Details

Category

Technical Session: Poster

Theme

Signal Processing for Wireless Communications

Sessions

10:45 - 12:15 | Tue 5 Jul | Salisbury B | S2

Physical layer security for 5G

Abstract

This paper investigates secrecy rate optimization for a multicasting network, where legitimate transmitter broadcasts the same information to multiple legitimate users in the presence of multiple eavesdroppers. In order to improve the achievable secrecy rates, private jammers are employed to cause interference to the eavesdroppers. However, these private jammers introduce the charges for their jamming services based on the amount of interference received at the eavesdroppers. This secrecy rate maximization problem is formulated into a Stackelberg game, where the private jammers and the legitimate transmitter are the leaders and the follower of the game, respectively. First, we consider the fixed interference price scenario, where a closed-form solution is derived for the optimal interference requirements at the eavesdroppers to maximize the revenue of the legitimate transmitter. Based on this solution, we then derive the Stackelberg equilibrium of the proposed game, at which both legitimate transmitter and the private jammers achieve their maximum revenues. To validate these theoretical derivations, simulation results are provided for fixed interference prices and Stackelberg game scenarios.

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