The Android Malware Handbook

Detection and Analysis by Human and Machine

By: Qian Han, Sai Deep Tetali, Salvador Mandujano, Sebastian Porst, V.S. Subrahmanian

Write A Review

eText | 7 November 2023

At a Glance

Format
ePUB

eText

$45.52

or 4 interest-free payments of $11.38 with

Instant online reading in your Booktopia eTextbook Library *

Why choose an eTextbook?

Instant Access *

Purchase and read your book immediately

Read Aloud

Listen and follow along as Bookshelf reads to you

Study Tools

Built-in study tools like highlights and more

* eTextbooks are not downloadable to your eReader or an app and can be accessed via web browsers only. You must be connected to the internet and have no technical issues with your device or browser that could prevent the eTextbook from operating.

Written by machine-learning researchers and members of the Android Security team, this all-star guide tackles the analysis and detection of malware that targets the Android operating system.

This groundbreaking guide to Android malware distills years of research by machine learning experts in academia and members of Meta and Google's Android Security teams into a comprehensive introduction to detecting common threats facing the Android eco-system today.

Explore the history of Android malware in the wild since the operating system first launched and then practice static and dynamic approaches to analyzing real malware specimens. Next, examine machine learning techniques that can be used to detect malicious apps, the types of classification models that defenders can implement to achieve these detections, and the various malware features that can be used as input to these models. Adapt these machine learning strategies to the identifica-tion of malware categories like banking trojans, ransomware, and SMS fraud.

You'll:

Dive deep into the source code of real malware
Explore the static, dynamic, and complex features you can extract from malware for analysis
Master the machine learning algorithms useful for malware detection
Survey the efficacy of machine learning techniques at detecting common Android malware categories

The Android Malware Handbook's team of expert authors will guide you through the Android threat landscape and prepare you for the next wave of malware to come.