An eavesdropping game with SINR as an objective function

Andrey Garnaev, Wade Trappe

Research output: Chapter in Book/Report/Conference proceedingConference contribution

7 Scopus citations

Abstract

We examine eavesdropping over wireless channels, where secret communication in the presence of an eavesdropper is formulated as a zero-sum game. In our problem, the legitimate receiver does not have complete knowledge about the environment, i.e. does not know the exact values of the channels gains, but instead knows just their distribution. To communicate secretly, the user must decide how to transmit its information across subchannels under a worst-case condition and thus, the legal user faces a max-min optimization problem. To formulate the optimization problem, we pose the environment as a secondary player in a zero-sum game whose objective is to hamper communication by the user. Thus, nature faces a min-max optimization problem. In our formulation, we consider signal-to-interference ratio (SINR) as a payoff function. We then study two specific scenarios: (i) the user does not know the channels gains; and (ii) the user does not know how the noise is distributed among the main channels. We show that in model (i) in his optimal behavior the user transmits signal energy uniformly across a subset of selected channels. In model (ii), if the user does not know the eavesdropper's channel gains he/she also employs a strategy involving uniformly distributing energy across a subset of channels. However, if the user acquires extra knowledge about environment, e.g. the eavesdropper's channel gains, the user may better tune his/her power allocation among the channels. We provide criteria for selecting which channels the user should transmit on by deriving closed-form expressions for optimal strategies for both players.

Original languageEnglish (US)
Title of host publicationSecurity and Privacy in Communication Networks - 5th International ICST Conference, SecureComm 2009, Revised Selected Papers
Pages142-162
Number of pages21
DOIs
StatePublished - 2009
Externally publishedYes
Event5th International ICST Conference on Security and Privacy in Communication Networks, SecureComm 2009 - Athens, Greece
Duration: Sep 14 2009Sep 18 2009

Publication series

NameLecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering
Volume19 LNICST
ISSN (Print)1867-8211

Other

Other5th International ICST Conference on Security and Privacy in Communication Networks, SecureComm 2009
Country/TerritoryGreece
CityAthens
Period9/14/099/18/09

All Science Journal Classification (ASJC) codes

  • Computer Networks and Communications

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