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Adaptive risk treatment for cloud computing based on Markovian game

conference contribution
posted on 2023-05-23, 13:27 authored by Medhioub, M, Kim, T-H, Hamdi, M

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.

History

Publication title

Proceeding of the 14th IEEE Annual Consumer Communications & Networking Conference

Pagination

236-241

ISBN

9781509061969

Department/School

School of Information and Communication Technology

Publisher

Institute of Electrical and Electronics Engineers

Event title

14th IEEE Annual Consumer Communications & Networking Conference (CCNC)

Event Venue

Las Vegas, USA

Date of Event (Start Date)

2017-01-08

Date of Event (End Date)

2017-01-11

Rights statement

Copyright 2017 IEEE

Repository Status

  • Restricted

Socio-economic Objectives

Expanding knowledge in the information and computing sciences

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