A Review Of Significance Of Energy-Consumption Anomaly In Malware Detection In Mobile Devices

International Journal On Cyber Situational Awareness (IJCSA)

ISSN: (Print) 2057-2182 ISSN: (Online) 2057-2182

DOI: 10.22619/IJCSA

Published Semi-annually. Est. 2014


Dr Cyril Onwubiko, Chair – Cyber Security & Intelligence, E-Security Group, Research Series, London, UK; IEEE UK & Ireland Section Secretary

Associate Editors:

Professor Frank Wang, Head of School / Professor of Future Computing, Chair IEEE Computer Society, UK&RI, School of Computing, University of Kent, Canterbury, UK

Dr Thomas Owens, Senior Lecturer & Director of Quality, Department of Electronic and Computer Engineering, Brunel University, London, UK

A Review of Significance of Energy-Consumption Anomaly in Malware Detection in Mobile Devices

Jameel Qadri, Thomas M. Chen and Jorge Blasco


Mobile devices, such as smartphones, have become an important part of modern lives. However, as these devices have tremendously become popular they are attracting a range of attacks. Malware is one of the serious threats posed to smartphones by the attackers. Due to the limited resources of mobile devices malware detection on these devices remains a challenge. Malware detection techniques based on energy-consumption anomaly present several advantages to circumvent the resource constraints of mobile devices. This paper reviews the selected energy consumption based malware detection methods and presents an analysis of the significance of the energyconsumption behaviour in determining the following: i) the causes of the energy-drain in mobile devices, ii) energy consumption pattern indicating the type and hence the behaviour of an application iii) energy consumption anomaly in detecting malicious activity. The challenges faced in developing energy-based detection methods and advantages of such methods are also discussed. The paper mainly focuses on Android platform.

Keywords: Mobile Devices, Malware, Malware Detection, Energy Consumption Anomaly, Android Apps, App Behaviour

ISSN: 2057-2182

Volume 1. No. 1

DOI: 10.22619/IJCSA.2016.1001010

Date: Nov. 2016

Reference to this paper should be made as follows: Qadri, J., Chen, T. M. and Blasco, J. (2016). A review of Significance of Energy-Consumption Anomaly in Malware Detection in Mobile Devices. International Journal on Cyber Situational Awareness, Vol. 1, No. 1, pp210-230.

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