Malware classification with Word2Vec, HMM2Vec, BERT, and ELMo

Author:

Kale Aparna Sunil,Pandya Vinay,Di Troia Fabio,Stamp MarkORCID

Publisher

Springer Science and Business Media LLC

Subject

Computational Theory and Mathematics,Hardware and Architecture,Software,Computer Science (miscellaneous)

Reference34 articles.

1. Aycock, J.: Computer Viruses and Malware. Springer, New York (2006)

2. Beek, C. et al.: McAfee labs threats report. https://www.mcafee.com/enterprise/en-us/assets/reports/rp-quarterly-threats-aug-2019.pdf, August (2019)

3. Cortes, C., Vapnik, V.: Support-vector networks. Mach. Learn. 20(3), 273–297 (1995)

4. Devlin, J., Chang, M.-W., Lee, K., Toutanova, K.: BERT: Pre-training of deep bidirectional transformers for language understanding. https://arxiv.org/abs/1810.04805 (2018)

5. Dhanasekar, D., Di Troia, F., Potika, K., Stamp, M.: Detecting encrypted and polymorphic malware using hidden Markov models. In: Guide to Vulnerability Analysis for Computer Networks and Systems: An Artificial Intelligence Approach, pp. 281–299. Springer (2018)

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