survey

A Survey on Game-Theoretic Approaches for Intrusion Detection and Response Optimization

Authors:

Christophe Kiennert,

Jean LeneutreAuthors Info & Claims

ACM Computing Surveys (CSUR), Volume 51, Issue 5

Article No.: 90, Pages 1 - 31

https://doi.org/10.1145/3232848

Published: 22 August 2018 Publication History

Abstract

Intrusion Detection Systems (IDS) are key components for securing critical infrastructures, capable of detecting malicious activities on networks or hosts. However, the efficiency of an IDS depends primarily on both its configuration and its precision. The large amount of network traffic that needs to be analyzed, in addition to the increase in attacks’ sophistication, renders the optimization of intrusion detection an important requirement for infrastructure security, and a very active research subject. In the state of the art, a number of approaches have been proposed to improve the efficiency of intrusion detection and response systems. In this article, we review the works relying on decision-making techniques focused on game theory and Markov decision processes to analyze the interactions between the attacker and the defender, and classify them according to the type of the optimization problem they address. While these works provide valuable insights for decision-making, we discuss the limitations of these solutions as a whole, in particular regarding the hypotheses in the models and the validation methods. We also propose future research directions to improve the integration of game-theoretic approaches into IDS optimization techniques.

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A Survey on Game-Theoretic Approaches for Intrusion Detection and Response Optimization

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cover image ACM Computing Surveys

ACM Computing Surveys Volume 51, Issue 5

September 2019

791 pages

ISSN:0360-0300

EISSN:1557-7341

DOI:10.1145/3271482

Editor:
Sartaj Sahni
Department of Computer and Information Science and Engineering

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Publication History

Published: 22 August 2018

Accepted: 01 June 2018

Revised: 01 May 2018

Received: 01 December 2016

Published in CSUR Volume 51, Issue 5

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