Malware detection with dynamic evolving graph convolutional networks
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DOI: 10.1002/int.22880
Abstract: Malware detection is a vital task for cybersecurity. For malware dynamic behavior, threats come from a small number of Application Programming Interfaces (APIs) embedded in the API sequences, which are easily ignored or obfuscated in… read more here.
Keywords: api level; malware detection; dynamic evolving; level ... See more keywords