Can I read A Comprehensive Approach to Android Malware Detection Using Machine Learning on EtoBox?

A Comprehensive Approach to Android Malware Detection Using Machine Learning by Ali Batouche; Hamid Jahankhani is a book available to read on EtoBox.

What is A Comprehensive Approach to Android Malware Detection Using Machine Learning about?

Cybersecurity is a broad and active field of research, and one of the biggest and most prevalent risks in the area is malicious behaviour. One strategy involves intrusion detection, which is often a dynamic approach to address any suspicious behaviours or anomalies that have been observed. Another approach would proactively anticipate these malicious attacks. In another part, The android ecosystem has gained a lot of intention in recent works, as a significant number of frameworks were proposed to address the huge number of malicious attacks targeting the consumer base of this platform. Thus, in this paper, we explore state of the art methods used for Android Malware Detection. To this end, an overview of the android system uncovered the underlying mechanisms and the challenges facing its security framework. Attack vectors were later addressed and evaluated. Machine Learning and Deep Learning Techniques were investigated and literature reviews were performed on a variety of studies covering diverse approaches for attack detection. In addition, many datasets have been evaluated and criticised leading to the establishment of a number of criteria that can be considered for future data

Author

Ali Batouche; Hamid Jahankhani

Publisher

Springer International Publishing AG

Published

2021

Language

EN

ISBN

9783030721220

Subjects

Science, Technology, Computer Science