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

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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

Descripción
Sumario:	"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"--
Notas:	Includes index.
Descripción Física:	1 online resource
ISBN:	9781098168575