N-gram MalGAN: Evading machine learning detection via feature n-gram

Author:

Zhu Enmin,Zhang Jianjie,Yan Jijie,Chen KongyangORCID,Gao ChongzhiORCID

Funder

National Natural Science Foundation of China

Publisher

Elsevier BV

Subject

Computer Networks and Communications,Hardware and Architecture

Reference26 articles.

1. Survey of machine learning techniques for malware analysis;Ucci;Comput. Secur.,2019

2. Malware detection based on source data using data mining: a survey;Basu1;Am. J. Adv. Comput.,2016

3. A survey on heuristic malware detection techniques;Bazrafshan,2013

4. Novel feature extraction, selection and fusion for effective malware family classification;Ahmadi,2016

5. Adversarial malware binaries: evading deep learning for malware detection in executables;Kolosnjaji,2018

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