Android Malware Detection using Machine Learning [electronic resource] Data-Driven Fingerprinting and Threat Intelligence / by ElMouatez Billah Karbab, Mourad Debbabi, Abdelouahid Derhab, Djedjiga Mouheb.
The authors develop a malware fingerprinting framework to cover accurate android malware detection and family attribution in this book. The authors emphasize the following: (1) the scalability over a large malware corpus; (2) the resiliency to common obfuscation techniques; (3) the portability over...
| Uniform Title: | Advances in Information Security,
2512-2193 ; 86 |
|---|---|
| Main Authors: | |
| Corporate Author: | |
| Language: | English |
| Published: |
Cham :
Springer International Publishing : Imprint: Springer,
2021.
|
| Edition: | 1st ed. 2021. |
| Series: | Advances in Information Security,
86 |
| Subjects: | |
| Online Access: | |
| Variant Title: |
Android Malware Detection Using Machine Learning: Data-Driven Fingerprinting and Threat Intelligence |
| Format: | Electronic eBook |
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