Android-Malware-Erkennung mit maschinellem Lernen: Datengesteuerter Fingerabdruck
160,36 €
Second, the authors propose an approximate fingerprinting technique that leverages dynamic analysis and natural language processing techniques to generate Android malware behavior reports. The authors emphasize the following: (1) the scalability over a large malware corpus; (2) the resiliency to common obfuscation techniques; (3) the portability over different platforms and architectures.
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