Evaluation of a cGAN Model and Random Seed Oversampling on Imbalanced JavaScript Datasets
Author:
Affiliation:
1. National Defense Academy
Publisher
Information Processing Society of Japan
Subject
General Computer Science
Link
https://www.jstage.jst.go.jp/article/ipsjjip/30/0/30_591/_pdf
Reference35 articles.
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2. [2] He, X., Xu, L. and Cha, C.: Malicious JavaScript Code Detection Based on Hybrid Analysis, 25th Asia-Pacific Software Engineering Conference, APSEC 2018, pp.365-374 (online), DOI: 10.1109/APSEC.2018.00051 (2018).
3. [3] Xue, Y., Wang, J., Liu, Y., Xiao, H., Sun, J. and Chandramohan, M.: Detection and classification of malicious JavaScript via attack behavior modelling, Proc. 2015 International Symposium on Software Testing and Analysis, ISSTA 2015, pp.48-59 (online), DOI: 10.1145/2771783.2771814 (2015).
4. [4] Mimura, M. and Suga, Y.: Filtering Malicious JavaScript Code with Doc2Vec on an Imbalanced Dataset, 2019 14th Asia Joint Conference on Information Security (AsiaJCIS), pp.24-31 (2019).
5. [5] Phung, N. and Mimura, M.: Data augmentation of JavaScript dataset using DCGAN and random seed, 9th International Symposium on Computing and Networking (CANDAR) (2021).
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