Description: Further DetailsTitle: The Android Malware HandbookCondition: NewFormat: PaperbackSubtitle: Using Manual Analysis and ML-Based DetectionISBN-10: 171850330XEAN: 9781718503304ISBN: 9781718503304Publisher: No Starch Press,USRelease Date: 11/07/2023Description: This comprehensive guide to Android malware introduces current threats facing the world's most widely used operating system. After exploring the history of attacks seen in the wild since the time Android first launched, including several malware families previously absent from the literature, you'll practice static and dynamic approaches to analysing real malware specimens. Next, you'll examine the machine-learning techniques used to detect malicious apps, the types of classification models that defenders can use, and the various features of malware specimens that can become input to these models. You'll then adapt these machine-learning strategies to the identification of malware categories like banking trojans, ransomware, and SMS fraud. You'll learn: How historical Android malware can elevate your understanding of current threats; How to manually identify and analyse current Android malware using static and dynamic reverse-engineering tools; How machine-learning algorithms can analyse thousands of apps to detect malware at scale.Language: EnglishCountry/Region of Manufacture: USItem Height: 234mmItem Length: 177mmAuthor: Qian Han, Sai Deep Tetali, Salvador MandujanoGenre: Computing & InternetRelease Year: 2023 Missing Information?Please contact us if any details are missing and where possible we will add the information to our listing.
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Book Title: The Android Malware Handbook
Title: The Android Malware Handbook
Subtitle: Using Manual Analysis and ML-Based Detection
ISBN-10: 171850330X
EAN: 9781718503304
ISBN: 9781718503304
Release Date: 11/07/2023
Release Year: 2023
Country/Region of Manufacture: US
Genre: Computing & Internet
Number of Pages: 328 Pages
Publication Name: Android Malware Handbook : Detection and Analysis by Human and Machine
Language: English
Publisher: No Starch Press, Incorporated
Item Height: 0.9 in
Subject: Operating Systems / Android, Security / Viruses & Malware, General
Publication Year: 2023
Type: Textbook
Item Weight: 23 Oz
Author: Sai Deep Tetali, Salvador Mandujano, V. S. Subrahmanian, Qian Han, Sebastian Porst
Subject Area: Mathematics, Computers
Item Length: 9.3 in
Item Width: 7 in
Format: Trade Paperback