2016•International Journal of Social Computing and Cyber-Physical SystemsRequires access

Malware detection techniques and tools for Android

Sangeeta Rani, Kanwalvir Singh Dhindsa

Open publisher page 2 citations

Abstract

Smartphone, with its powerful capabilities, has been wildly used in every area of our day-to-day life. The enormous kinds of applications installed in these smartphones like WhatsApp and Viber have changed the way people live and communicate. An estimate by Gartner indicates that 90% of the phones by the end of 2018 will be smartphones (MobileStorm, 2014). The most popular mobile operating system today in the industry is Android. However, with the prevalence of Android smartphone, malware authors have started to target it. Although mobile anti-malware solutions could be installed to scan malicious apps before they are made available for download, existing mobile anti-malware software relies exclusively upon a prior knowledge of malware samples in order to extract and deploy signatures for subsequent detection. Moreover, malware writers may update existing malware samples to dodge detection. Hence, this imprudent nature makes them inadequate in identifying new or mutated malware. This paper explores different techniques and tools available to analyse and detect Android malware. It also highlights the features and limitations of these techniques and tools.

About this research paper

What this paper is about

Smartphone, with its powerful capabilities, has been wildly used in every area of our day-to-day life. The enormous kinds of applications installed in these smartphones like WhatsApp and Viber have changed the way people live and communicate. An estimate by Gartner indicates that 90% of the phones by the end of 2018 will be smartphones (MobileStorm, 2014). The most popular mobile operating system today in the industry is Android. However, with the prevalence of Android smartphone, malware authors have started to target it. Although mobile anti-malware solutions could be installed to scan malicious apps before they are made available for download, existing mobile anti-malware software relies exclusively upon a prior knowledge of malware samples in order to extract and deploy signatures for subsequent detection. Moreover, malware writers may update existing malware samples to dodge detection. Hence, this imprudent nature makes them inadequate in identifying new or mutated malware. This paper explores different techniques and tools available to analyse and detect Android malware. It also highlights the features and limitations of these techniques and tools.

Why it matters

OpenAlex reports 2 citations for this work. Citation counts describe recorded attention and do not establish research quality.

Key contribution

A contribution statement is not available in the OpenAlex record.

Method / approach

Method details are not available in the OpenAlex metadata.

Main findings

Findings are not separately available in the OpenAlex metadata.

Limitations

Limitations are not available in the OpenAlex metadata.

Applications

Application details are not available in the OpenAlex metadata.

Available abstract

Smartphone, with its powerful capabilities, has been wildly used in every area of our day-to-day life. The enormous kinds of applications installed in these smartphones like WhatsApp and Viber have changed the way people live and communicate. An estimate by Gartner indicates that 90% of the phones by the end of 2018 will be smartphones (MobileStorm, 2014). The most popular mobile operating system today in the industry is Android. However, with the prevalence of Android smartphone, malware authors have started to target it. Although mobile anti-malware solutions could be installed to scan malicious apps before they are made available for download, existing mobile anti-malware software relies exclusively upon a prior knowledge of malware samples in order to extract and deploy signatures for subsequent detection. Moreover, malware writers may update existing malware samples to dodge detection. Hence, this imprudent nature makes them inadequate in identifying new or mutated malware. This paper explores different techniques and tools available to analyse and detect Android malware. It also highlights the features and limitations of these techniques and tools.

Key concepts: Malware, Android (operating system), Android malware, Mobile malware, Computer science, Cryptovirology, Computer security, Software

Related papers

Back to paper searchBrowse research topicsOriginal source
Malware detection techniques and tools for Android — Research Paper | ScholarLens