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The Android Malware Handbook: Detection and an*lysis by Human and Machine

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Written by machine-learning researchers and members of the Android Security team, this all-star guide tackles the an*lysis 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 Securit...

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Description produit
Marque
GENERIC
Titre principal
The Android Malware Handbook: Detection and an*lysis by Human and Machine
Editeur
No Starch Press
Type de produit
Paperback
Présentation du livre
Paperback
Release date
11/7/2023 12:00:00 AM
Langue d'origine
English
ISBN
9209034422
Dimensions
7.06 x 0.76 x 9.25 inches
Nombre de pages de livre
328 pages
Langue - Librairie
English
Résumé
Written by machine-learning researchers and members of the Android Security team, this all-star guide tackles the an*lysis 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 an*lyzing 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 malwareExplore the static, dynamic, and complex features you can extract from malware for an*lysisMaster the machine learning algorithms useful for malware detectionSurvey the efficacy of machine learning techniques at detecting common Android malware categoriesThe 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. Read more
Auteur(s)
Qian Han, Salvador Mandujano, Sebastian Porst, V.S. Subrahmanian, Sai Deep Tetali, Yanhai Xiong
Date de parution
11/7/2023 12:00:00 AM