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

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"--

Detalles Bibliográficos
Otros Autores: Han, Qian (Research scientist), author (author), Tetali, Sai Deep, author, Mandujano, Salvador, author, Porst, Sebastian, author, Subrahmanian, V. S., author, Xiong, Yanhai, author
Formato: Libro electrónico
Idioma:Inglés
Publicado: San Francisco : No Starch Press [2024]
Materias:
Android (Electronic resource)
Malware (Computer software)
Operating systems (Computers) > Security measures.
Mobile computing > Security measures.
Machine learning.
Ver en Biblioteca Universitat Ramon Llull:https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009767134406719
Tabla de Contenidos:
  • 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.

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