Mobile Malware Behavior through Opcode Analysis

Noor Azleen Anuar; Mohd Zaki Mas'ud; Nazrulazhar Bahaman; Nor Azman Mat Ariff

Author(s)

Noor Azleen Anuar Information Security, Digital Forensic and Computer Networking (INSFORNET), Faculty of Information Technology and Communication, Universiti Teknikal Malaysia Melaka (UTeM), Hang Tuah Jaya, 76100 Durian Tunggal, Melaka, Malaysia

Mohd Zaki Mas'ud Information Security, Digital Forensic and Computer Networking (INSFORNET), Faculty of Information Technology and Communication, Universiti Teknikal Malaysia Melaka (UTeM), Hang Tuah Jaya, 76100 Durian Tunggal, Melaka, Malaysia

Nazrulazhar Bahaman Information Security, Digital Forensic and Computer Networking (INSFORNET), Faculty of Information Technology and Communication, Universiti Teknikal Malaysia Melaka (UTeM), Hang Tuah Jaya, 76100 Durian Tunggal, Melaka, Malaysia

Nor Azman Mat Ariff Information Security, Digital Forensic and Computer Networking (INSFORNET), Faculty of Information Technology and Communication, Universiti Teknikal Malaysia Melaka (UTeM), Hang Tuah Jaya, 76100 Durian Tunggal, Melaka, Malaysia

Abstract

As the popularity of mobile devices are on the rise, millions of users are now exposed to mobile malware threats. Malware is known for its ability in causing damage to mobile devices. Attackers often use it as a way to use the resources available and for other cybercriminal benefits such stealing users' data, credentials and credit card number. Various detection techniques have been introduced in mitigating mobile malware, yet the malware author has its own method to overcome the detection method. This paper presents mobile malware analysis approaches through opcode analysis. Opcode analysis on mobile malware reveals the behavior of malicious application in the binary level. The comparison made between the numbers of opcode occurrence from a malicious application and benign shows several significant traits. These differences can be used in classifying the malicious and benign mobile application.

Publication Details

Page(s) 345-354

DOI DOI not available

Published Journal: International Journal of Communication Networks and Information Security, Volume: 12, Issue: 3, Year: 2020

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Keywords

Mobile Malware, Android Malware, Mobile Malware Detection, Opcode., Mobile Malware Behavior