Mobile OS Vulnerabilities: Quantitative and Qualitative Analysis

This paper provides a comprehensive literature review on mobile security, including Android security, with statistical inferences and discusses a novel technique for detecting Android malware. It also presents a new method for classifying detected malware into families and a framework for mapping malware to vulnerabilities exploited using behavior reports and deep learning techniques.

Format: Hardback
Length: 179 pages
Publication date: 17 August 2023
Publisher: Taylor & Francis Ltd

Here is the rephrased text:
Mobile security is a critical issue that has garnered significant attention in recent years. With the increasing prevalence of mobile devices and the growing amount of sensitive data stored on them, it is essential to develop robust security measures to protect against potential threats. This literature review aims to provide a holistic and comprehensive analysis of the current state of mobile security, with a particular focus on Android security.

The review will begin by discussing the various security challenges faced by Android devices. These challenges include malware attacks, data theft, and unauthorized access. It will then explore the existing security mechanisms and technologies used in Android devices to mitigate these risks.

One of the key areas of focus in this literature review will be on Android security. The review will discuss the various techniques and technologies used to detect and prevent Android malware attacks. It will also explore the latest trends in Android malware, such as ransomware, spyware, and trojans.

In addition to malware detection, the review will also cover a novel technique of classifying detected malware into families. This technique will help security researchers and practitioners better understand the nature and behavior of different types of malware and develop more effective strategies to combat them.

Another important aspect of mobile security is the mapping of malware to vulnerabilities exploited using Android malwares behavior reports. This framework will leverage pre-trained language models and deep learning techniques to analyze the behavior of malware and identify the vulnerabilities it exploits. This information will be valuable for security researchers and practitioners to develop targeted defenses against these vulnerabilities.

The literature review will also discuss the role of user education and awareness in mobile security. It will highlight the importance of users being aware of the risks associated with mobile devices and taking steps to protect themselves. This includes using strong passwords, installing antivirus software, and being cautious of suspicious emails and messages.

Finally, the review will conclude by discussing the future directions in mobile security research and development. It will highlight the emerging trends and challenges in mobile security, such as the increasing sophistication of malware attacks, the rise of IoT devices, and the need for more collaborative efforts between industry, academia, and government.

In conclusion, mobile security is a critical issue that requires a comprehensive and interdisciplinary approach. This literature review aims to provide a comprehensive analysis of the current state of mobile security, with a particular focus on Android security. By exploring the various techniques and technologies used to detect and prevent malware attacks, classify detected malware into families, map malware to vulnerabilities exploited using Android malwares behavior reports, and discuss the role of user education and awareness, we can develop more effective strategies to protect against mobile security threats. The future directions in mobile security research and development will also help us stay ahead of the curve and ensure that mobile devices remain secure and reliable for users.

Dimension: 234 x 156 (mm)
ISBN-13: 9781032407463