• Anu Varghese
• Jagadeesha S.N

Background/Purpose: The ever-increasing presence of malicious software designed to target Android devices represents a huge risk to the security of mobile devices. Researchers are investigating a variety of cutting-edge approaches, procedures, and strategies to analyse and identify it. The purpose of this literature review is to examine recent research on Android malware analysis, with a particular emphasis on novel methodologies and the degree to which they are successful in identifying and mitigating the threat. This paper reviews the three common approaches and discuss the challenges and limitations identified. Objective: This literature review aims to provide a comprehensive overview of Android malware analysis techniques and methodologies, evaluating the effectiveness of different approaches like static, dynamic, machine learning and deep learning. It also evaluates existing tools and frameworks, highlights recent studies’ contributions and highlights gaps in research. The review aims to enhance detection mitigation strategies for mobile security and provide insights for researchers, practitioners, and policymakers. Design/Methodology/Approach: The SWOT analysis method is used to conduct data analysis and present the results from a variety of sources, including academic papers, web articles, journals, and other sources. Findings/Result: The literature study focuses on several different strategies and methods for analysing Android malware, such as static, dynamic, machine learning, and deep learning. These techniques are used to extract features, analyse code structure, and identify dangerous behaviours. It is essential for effective detection solutions to incorporate a variety of approaches as well as extensive datasets. Most of the research has been directed towards improving machine learning models rather than the malware analysis process.

android malware, malware detection, HinDroid, static analysis, API, cyber security

"ANDROID MALWARE ANALYSIS – A LITERATURE REVIEW", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.11, Issue 1, page no.e306-e325, January-2024, Available :http://www.jetir.org/papers/JETIR2401437.pdf

"ANDROID MALWARE ANALYSIS – A LITERATURE REVIEW", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.11, Issue 1, page no. ppe306-e325, January-2024, Available at : http://www.jetir.org/papers/JETIR2401437.pdf