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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
Clasificación:Libro Electrónico
Autores principales: Han, Qian (Research scientist) (Autor), Tetali, Sai Deep (Autor), Mandujano, Salvador (Autor), Porst, Sebastian (Autor), Subrahmanian, V. S. (Autor), Xiong, Yanhai (Autor)
Formato: Electrónico eBook
Idioma:Inglés
Publicado: San Francisco : No Starch Press, [2024]
Temas:
Acceso en línea:Texto completo (Requiere registro previo con correo institucional)

MARC

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003 OCoLC
005 20231017213018.0
006 m o d
007 cr |||||||||||
008 230805s2024 cau o 001 0 eng
010 |a  2023024980 
040 |a DLC  |b eng  |e rda  |c DLC  |d OCLCO  |d ORMDA 
020 |a 9781718503311  |q (ebook) 
020 |a 1718503318 
020 |z 9781718503304  |q (paperback) 
035 |a (OCoLC)1393252259 
037 |a 9781098168575  |b O'Reilly Media 
042 |a pcc 
050 0 0 |a QA76.774.A53 
082 0 0 |a 005.8/8  |2 23/eng/20230810 
049 |a UAMI 
100 1 |a Han, Qian  |c (Research scientist),  |e author. 
245 1 4 |a The Android malware handbook :  |b manual analysis and ML-based detection /  |c Qian Han, Sai Deep Tetali, Salvador Mandujano, Sebastian Porst, V.S. Subrahmanian, Yanhai Xiong. 
263 |a 2311 
264 1 |a San Francisco :  |b No Starch Press,  |c [2024] 
300 |a 1 online resource 
336 |a text  |b txt  |2 rdacontent 
337 |a computer  |b c  |2 rdamedia 
338 |a online resource  |b cr  |2 rdacarrier 
500 |a Includes index. 
505 0 |a 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. 
520 |a "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"--  |c Provided by publisher. 
588 |a Description based on print version record and CIP data provided by publisher; resource not viewed. 
590 |a O'Reilly  |b O'Reilly Online Learning: Academic/Public Library Edition 
630 0 0 |a Android (Electronic resource) 
650 0 |a Malware (Computer software) 
650 0 |a Operating systems (Computers)  |x Security measures. 
650 0 |a Mobile computing  |x Security measures. 
650 0 |a Machine learning. 
650 6 |a Logiciels malveillants. 
650 6 |a Systèmes d'exploitation (Ordinateurs)  |x Sécurité  |x Mesures. 
650 6 |a Informatique mobile  |x Sécurité  |x Mesures. 
650 6 |a Apprentissage automatique. 
700 1 |a Tetali, Sai Deep,  |e author. 
700 1 |a Mandujano, Salvador,  |e author. 
700 1 |a Porst, Sebastian,  |e author. 
700 1 |a Subrahmanian, V. S.,  |e author. 
700 1 |a Xiong, Yanhai,  |e author. 
776 0 8 |i Print version:  |a Han, Qian  |t Android malware handbook  |d San Francisco : No Starch Press, [2024]  |z 9781718503304  |w (DLC) 2023024979 
856 4 0 |u https://learning.oreilly.com/library/view/~/9781098168575/?ar  |z Texto completo (Requiere registro previo con correo institucional) 
994 |a 92  |b IZTAP