The Android malware handbook : manual analysis and ML-based detection /

"Explores the history of Android attacks and covers static and dynamic approaches to analyzing real malware specimens, machine-learning techniques to detect malicious apps, and how to identify banking trojans, ransomware, and SMS fraud"--

Bibliographic Details
Call Number:Libro Electrónico
Main Authors: Han, Qian (Research scientist) (Author), Tetali, Sai Deep (Author), Mandujano, Salvador (Author), Porst, Sebastian (Author), Subrahmanian, V. S. (Author), Xiong, Yanhai (Author)
Format: Electronic eBook
Language:Inglés
Published: San Francisco : No Starch Press, [2024]
Subjects:
Android (Electronic resource)
Malware (Computer software)
Operating systems (Computers) > Security measures.
Mobile computing > Security measures.
Machine learning.
Logiciels malveillants.
Systèmes d'exploitation (Ordinateurs) > Sécurité > Mesures.
Informatique mobile > Sécurité > Mesures.
Apprentissage automatique.
Online Access:Texto completo (Requiere registro previo con correo institucional)
Table of Contents:
  • The basics of Android security
  • Android malware in the wild
  • Static analysis
  • Dynamic analysis
  • Machine learning fundamentals
  • Machine learning features
  • Rooting malware
  • Spyware
  • Banking trojans
  • Ransomware
  • SMS fraud
  • The future of Android malware.

Similar Items