A New Cryptojacking Malware Classifier Model Based on Dendritic Cell Algorithm-Reference-Cited by-同舟云学术

A New Cryptojacking Malware Classifier Model Based on Dendritic Cell Algorithm

Published:2019-08-26 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 3rd International Conference on Vision, Image and Signal Processing
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Author:

Ahmad Azuan¹,Shafiuddin Wan²,Kama Mohd Nazri³,Saudi Madihah Mohd¹

Affiliation:

1. Islamic Science Institute, Universiti Sains Islam, Malaysia, Negeri Sembilan, Malaysia

2. Zainudin CyberSecurity Malaysia, Seri Kembangan, Selangor, Malaysia

3. Saiful Adli Bin Ismail, Fakulti Teknologi dan Informatik Razak, Universiti Teknologi, Malaysia

Funder

Universiti Sains Islam Malaysia

Publisher

ACM

Reference21 articles.

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2. Graph-based malware detection using dynamic analysis

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4. Beek C. Castillo C. Cochin C. and Dolezal A. (2018). McAfee Labs Threats Report. [ebook] McAfee Labs. Available at: https://www.mcafee.com/enterprise/en-us/assets/reports/rp-quarterly-threats-sep-2018.pdf [Accessed 9 Apr. 2019]. Beek C. Castillo C. Cochin C. and Dolezal A. (2018). McAfee Labs Threats Report. [ebook] McAfee Labs. Available at: https://www.mcafee.com/enterprise/en-us/assets/reports/rp-quarterly-threats-sep-2018.pdf [Accessed 9 Apr. 2019].

5. B. Kang S. Y. Yerima K. McLaughlin and S. Sezer (2016) "N-opcode analysis for Android malware classification and categorization " in Proceedings of International Conference On Cyber Security And Protection Of Digital Services (Cyber Security) pp. 1--7 IEEE London UK. B. Kang S. Y. Yerima K. McLaughlin and S. Sezer (2016) "N-opcode analysis for Android malware classification and categorization " in Proceedings of International Conference On Cyber Security And Protection Of Digital Services (Cyber Security) pp. 1--7 IEEE London UK.

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