A Review on Android Malware: Attacks, Countermeasures and Challenges Ahead

Authors

DOI:

https://doi.org/10.13052/jcsm2245-1439.1017

Keywords:

Malware, Anomaly Detection, Attacks, Defense, Evasion attack, Obfuscation attack, Android, adversarial attack

Abstract

Smartphones usage have become ubiquitous in modern life serving as a double-edged sword with opportunities and challenges in it. Along with the benefits, smartphones also have high exposure to malware. Malware has progressively penetrated thereby causing more turbulence. Malware authors have become increasingly sophisticated and are able to evade detection by anti-malware engines. This has led to a constant arms race between malware authors and malware defenders. This survey converges on Android malware and covers a walkthrough of the various obfuscation attacks deployed during malware analysis phase along with the myriad of adversarial attacks operated at malware detection phase. The review also unscrambles the difficulties currently faced in deploying an on-device, lightweight malware detector. It sheds spotlight for researchers to perceive the current state of the art techniques available to fend off malware along with suggestions on possible future directions

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Author Biographies

ShymalaGowri Selvaganapathy, Department of Information Technology, PSG College of Technology, Coimbatore, India

ShymalaGowri Selvaganapathy is working as Assistant Professor in the department of Information Technology, PSG College of Technology, India since 2012. Her research interests include Malware Detection, Adversarial Machine Learning, Information Security, Attacks and Defense techniques. She received her M.E. degree in Computer Science and Engineering in the year 2012 and B.Tech degree in Information Technology in the year 2007 from Anna University, India.

Sudha Sadasivam, Department of Computer Science and Engineering, PSG College of Technology, Coimbatore, India

G. Sudha Sadasivam is working as Professor and is heading the Department of Computer Science and Engineering in PSG College of Technology, India. She has 24+ years of teaching experience. Her areas of interest include Distributed Systems, Distributed Object Technology, Grid, Cloud Computing and Security. She has published 80+ research papers in refereed international and national journals, and at conferences. She has published five books in her areas of interest. She has coordinated two AICTE RPS projects in distributed and grid computing arena. She is the coordinator for PSG-Yahoo research on grid and cloud computing.

Vinayakumar Ravi, Center for Artificial Intelligence, Prince Mohammad Bin Fahd University, Khobar, Saudi Arabia

Vinayakumar Ravi received the Ph.D. degree in computer science from Computational Engineering & Networking, Amrita School of Engineering, Coimbatore, Amrita Vishwa Vidyapeetham, India. He is currently Assistant Research Professor at Center for Artificial Intelligence, Prince Mohammad Bin Fahd University, Khobar, Saudi Arabia. Prior to that, he was a Postdoctoral research fellow in developing and implementing novel computational and machine learning algorithms and applications for big data integration and data mining with Cincinnati Children’s Hospital Medical Center, Cincinnati, OH, USA. He has worked on various Cyber Security problems such as intrusion detection, malware detection, ransomware detection, DGA analysis, network traffic analysis, botnet detection, spam and phishing detection in email and URL, image spam detection, and spoofing detection. He has more than 50 research publications in reputed IEEE conferences, IEEE Transactions and Journals.

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2021-03-23

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Selvaganapathy S, Sadasivam S, Ravi V. A Review on Android Malware: Attacks, Countermeasures and Challenges Ahead. JCSANDM [Internet]. 2021 Mar. 23 [cited 2024 Dec. 3];10(1):177-230. Available from: https://journals.riverpublishers.com/index.php/JCSANDM/article/view/5237

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Emerging Trends in Cyber Security and Cryptography