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Adaptive risk treatment for cloud computing based on Markovian game

Citation

Medhioub, M and Kim, T-H and Hamdi, M, Adaptive risk treatment for cloud computing based on Markovian game, Proceeding of the 14th IEEE Annual Consumer Communications & Networking Conference, 8-11 January 2017, Las Vegas, USA, pp. 236-241. ISBN 9781509061969 (2017) [Refereed Conference Paper]

Copyright Statement

Copyright 2017 IEEE

DOI: doi:10.1109/CCNC.2017.7983111

Abstract

Cloud computing has the benefit of offering scalability and efficiency, as well as cost-effectiveness. However, the existence of security breaches exacerbates the reluctance of potential users to host their sensitive data and services on the cloud. Indeed, the intrinsic characteristics of cloud infrastructures prevent the use of traditional security policy engineering frameworks. The dynamic context in which services and applications are implemented on the cloud does not support previously developed security risk management process.

This paper proposes a novel game-theoretic model that models the trade-off between the effectiveness of the adaptive risk treatment and the cost resulting from the execution of the selected security mechanisms. The objective is to implement dynamic security policies that adapt to the dynamic nature of the cloud.

Item Details

Item Type:Refereed Conference Paper
Keywords:cloud computing, risk management, game theory, security systems
Research Division:Information and Computing Sciences
Research Group:Other information and computing sciences
Research Field:Other information and computing sciences not elsewhere classified
Objective Division:Expanding Knowledge
Objective Group:Expanding knowledge
Objective Field:Expanding knowledge in the information and computing sciences
UTAS Author:Kim, T-H (Dr Tai Kim)
ID Code:125228
Year Published:2017
Deposited By:Information and Communication Technology
Deposited On:2018-04-09
Last Modified:2018-07-03
Downloads:0

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