Conference Paper

A cloud-based energy efficient hosting model for malware detection framework

Abstract

Protection strategy against malware attacks, whether in enterprise networks or on personal computers is generally divided into two main aspects; the detection rate and the resource consumption. Having a better detection rate is not the solution unless it is complimented by energy efficiency with respect to its CPU resource consumption of the host machine. This paper presents a cloud-based energy efficient hosting model for an intelligent malware detection framework, which amalgamates different components of Amazon's cloud services to develop a unique and dynamically scalable hosting model. The hosting model is then evaluated separately for its CPU utilization and in comparison with the conventional security software. The experimental results demonstrate significant energy efficiency in terms of CPU utilization by the hosting model.

Attached files

Authors

Mirza, Qublai K. Ali
Awan, Irfan
Younas, Muhammad

Oxford Brookes departments

Faculty of Technology, Design and Environment\School of Engineering, Computing and Mathematics

Dates

Year of publication: 2019
Date of RADAR deposit: 2019-06-04

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© 2019 IEEE

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Related resources

This RADAR resource is the Accepted Manuscript of A cloud-based energy efficient hosting model for malware detection framework