Android Malware Detection using Machine Learning

The book "Android Malware Detection using Machine Learning" offers a comprehensive analysis and innovative approaches to detecting malware on Android platforms. The authors develop a fingerprinting framework that allows for precise detection of malware and its classification into families. Special emphasis is placed on scalability across large malware corpora, resilience against common obfuscation techniques, and portability across different platforms and architectures. The techniques presented combine static and dynamic analyses as well as natural language processing to create behavioral reports on Android malware. Additionally, an automated framework is developed to generate information about the underlying malicious cyber infrastructures, utilizing graph analytical techniques to identify relevant threat information. This specialized book is aimed at professionals and students in the fields of technology and IT who are concerned with the security of Android applications.