Book Details
Format
Kindle
Pages
329
Language
English
Published
Nov 7, 2023
Publisher
No Starch Press
ISBN-10
1718503318
ISBN-13
9781718503311
Description
This handbook offers a comprehensive exploration of Android malware, delving into detection and analysis techniques utilized by both humans and machines. Written by experts in machine learning and cybersecurity, it combines cutting-edge research with practical insights, making it an essential resource for anyone looking to understand the complexities of mobile security threats.
Readers will find an intricate balance between theoretical foundations and real-world applications, equipping them with the necessary tools to identify and mitigate malware risks. The collaborative effort of seasoned researchers and industry practitioners ensures a depth of knowledge that is both accessible and authoritative, making it a valuable addition to the libraries of cybersecurity professionals and students alike.
Readers will find an intricate balance between theoretical foundations and real-world applications, equipping them with the necessary tools to identify and mitigate malware risks. The collaborative effort of seasoned researchers and industry practitioners ensures a depth of knowledge that is both accessible and authoritative, making it a valuable addition to the libraries of cybersecurity professionals and students alike.
Genres
History