Multiclass Malware Classification Using Either Static Opcodes or Dynamic API Calls-Reference-Cited by-同舟云学术

Multiclass Malware Classification Using Either Static Opcodes or Dynamic API Calls

Published:2022 Issue: Volume: Page:427-441
ISSN:0302-9743
Container-title:AI 2022: Advances in Artificial Intelligence
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Author:

Chanajitt Rajchada,Pfahringer Bernhard^ORCID,Gomes Heitor Murilo^ORCID,Yogarajan Vithya^ORCID

Publisher

Springer International Publishing

Link

https://link.springer.com/content/pdf/10.1007/978-3-031-22695-3_30

Reference18 articles.

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3. Catak, F.O., Yazı, A.F., Elezaj, O., Ahmed, J.: Deep learning based sequential model for malware analysis using windows exe API calls. PeerJ Comp. Sci. 6, 81 (2020)

4. Cho, K., van Merrienboer, B., Gulcehre, C., Bougares, F., Schwenk, H., Bengio, Y.: Learning phrase representations using RNN encoder-decoder for statistical machine translation. In: Conference on Empirical Methods in Natural Language Processing (2014)

5. Gupta, S., Sharma, H., Kaur, S.: Malware characterization using windows API call sequences. In: SPACE (2016)

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