2021•Unpublished venueRequires access

A Review: Static Analysis of Android Malware and Detection Technique

Juliza Mohamad Arif, Mohd Faizal Ab Razak, Suryanti Awang, Sharfah Ratibah Tuan Mat, Nor Syahidatul Nadiah Ismail, Ahmad Qolfathiriyus Firdaus

Open publisher page 3 citations

Abstract

Android malware has become more widespread in recent years due to the growing popularity of Android mobile. Android malware is installed without the user’s consent on a mobile device and exhibits significant risks to users, including personal information disclosure and fraud. Furthermore, some malware may be hidden inside the mobile device using various obfuscation techniques and cause harm. To mitigate these risks, the researcher recommended a variety of detection techniques. Unfortunately, it remains challenging as Android malware continues to increase. Signature-based detection is currently used to detect malware, but unknown malware and the newest malware are not recognised in this approach. This demonstrates that developing an effective malware detection method is crucial, with an enormous gap in recent studies and methods. This study aims to present researchers with a review of Android malware detection methods and empirical findings, focusing on static analysis. The research discussed the trends of Android malware, Android vulnerabilities, static analysis approaches, and a summary of recent studies in static analysis. Additionally, future research guidelines in the static analysis are suggested to optimise the functionality of Android malware detection.

About this research paper

What this paper is about

Android malware has become more widespread in recent years due to the growing popularity of Android mobile. Android malware is installed without the user’s consent on a mobile device and exhibits significant risks to users, including personal information disclosure and fraud. Furthermore, some malware may be hidden inside the mobile device using various obfuscation techniques and cause harm. To mitigate these risks, the researcher recommended a variety of detection techniques. Unfortunately, it remains challenging as Android malware continues to increase. Signature-based detection is currently used to detect malware, but unknown malware and the newest malware are not recognised in this approach. This demonstrates that developing an effective malware detection method is crucial, with an enormous gap in recent studies and methods. This study aims to present researchers with a review of Android malware detection methods and empirical findings, focusing on static analysis. The research discussed the trends of Android malware, Android vulnerabilities, static analysis approaches, and a summary of recent studies in static analysis. Additionally, future research guidelines in the static analysis are suggested to optimise the functionality of Android malware detection.

Why it matters

OpenAlex reports 3 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

Android malware has become more widespread in recent years due to the growing popularity of Android mobile. Android malware is installed without the user’s consent on a mobile device and exhibits significant risks to users, including personal information disclosure and fraud. Furthermore, some malware may be hidden inside the mobile device using various obfuscation techniques and cause harm. To mitigate these risks, the researcher recommended a variety of detection techniques. Unfortunately, it remains challenging as Android malware continues to increase. Signature-based detection is currently used to detect malware, but unknown malware and the newest malware are not recognised in this approach. This demonstrates that developing an effective malware detection method is crucial, with an enormous gap in recent studies and methods. This study aims to present researchers with a review of Android malware detection methods and empirical findings, focusing on static analysis. The research discussed the trends of Android malware, Android vulnerabilities, static analysis approaches, and a summary of recent studies in static analysis. Additionally, future research guidelines in the static analysis are suggested to optimise the functionality of Android malware detection.

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

Related papers

Back to paper searchBrowse research topicsOriginal source
A Review: Static Analysis of Android Malware and Detection Technique — Research Paper | ScholarLens