The Trend of Mobile Malwares and Effective Detection Techniques

The Trend of Mobile Malwares and Effective Detection Techniques

Olawale Surajudeen Adebayo (International Islamic University Malaysia, Malaysia) and Normaziah Abdul Aziz (International Islamic University Malaysia, Malaysia)
Copyright: © 2016 |Pages: 15
DOI: 10.4018/978-1-4666-9438-5.ch011
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Abstract

The usefulness of mobile phones nowadays has gone beyond making calls and sending text messages. In fact, most of applications available on desktop computer are presently easily accessible on mobile devices, especially smartphone based on Androids, iOS, and Windows phone platforms. However, at the same time, malware is increasingly becoming pervasive on a mobile platform for financial, social and political exploitation. This chapter examines the trends of mobile malware and different efforts of anti-malware writers and researchers in addressing mobile malware on smartphones.
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Background

This research studies the existing literatures on the trend of android malware, its analysis and detection system. The usefulness of mobile facilities such as smartphones has increased their target by malware over time. This, in order hand has made the field of malware detection a daunting task most especially on a mobile platform. A malware is a computer program that has various kinds of malicious intents (Karami et al., 2013). Mobile malware on the other hand is malicious software that is specifically designed to attack mobile facilities i.e. mobile phones and smartphones (Buennemeyer et al., 2013). Some commonly known Malware categories are viruses, trojans and worms. Malicious programs present an incessant threat to the privacy and security of sensitive data and the availability of critical services at crucial point in time (Adebayo et al., 2012). The first observable feature adopted by malware most detector at the outset of smartphone is battery power consumption (Thanh, 2013; Blasing et al., 2010; Eder et al., 2013). The technique was basically to the mobile phone power consumption and compares it with the normal power consumption in order to detect occurrence of anomaly. The first malware specifically written for Symbian OS platform was discovered (Cabir) in 2004. After the infection successfully carried out by Cabir malware and its variants (Kim et al., 2008, pp. 239-252), researchers proposed approaches and developed different mechanisms in order to detect malware on a mobile phone. With the advent of smartphones, malware has consistently double on the mobile phone due to its ubiquity.

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