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Automated poisoning attacks and defenses in malware detection systems: An adversarial machine learning approach

Published Print: 2018-03

Authors

Chen, Sen

Xue, Minhui https://orcid.org/0000-0001-5411-5039
Fan, Lingling

Hao, Shuang

Xu, Lihua

Zhu, Haojin

Li, Bo
Funding

Funding for this research was provided by:

National Natural Science Foundation of China (61502170)

National Natural Science Foundation of China (61272444)

National Natural Science Foundation of China (61411146001)

National Natural Science Foundation of China (U1401253)

National Natural Science Foundation of China (U1405251)

Science and Technology Commission of Shanghai Municipality (13ZR1413000)
License Information

Text and Data Mining valid from 2018-03-01

Text and Data Mining valid from 2018-03-01
More Information

This article is maintained by: Elsevier

Article Title: Automated poisoning attacks and defenses in malware detection systems: An adversarial machine learning approach

Journal Title: Computers & Security

CrossRef DOI link to publisher maintained version: https://doi.org/10.1016/j.cose.2017.11.007

Content Type: article

Copyright: © 2017 Elsevier Ltd. All rights reserved.

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