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Android Malware Detection using Machine Learning: Data-Driven Fingerprinting and Threat Intelligence - Advances in Information Security ElMouatez Billah Karbab 2021 edition
Android Malware Detection using Machine Learning: Data-Driven Fingerprinting and Threat Intelligence - Advances in Information Security
ElMouatez Billah Karbab
The authors develop a malware fingerprinting framework to cover accurate android malware detection and family attribution in this book.
202 pages, 20 Tables, color; 64 Illustrations, color; 17 Illustrations, black and white; XIV, 202 p.
| Media | Books Paperback Book (Book with soft cover and glued back) |
| Released | July 12, 2022 |
| ISBN13 | 9783030746667 |
| Publishers | Springer Nature Switzerland AG |
| Pages | 202 |
| Dimensions | 150 × 220 × 10 mm · 312 g |
| Language | German |
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