Author:
Shhadat Ihab,Bataineh Bara’,Hayajneh Amena,Al-Sharif Ziad A.
Reference15 articles.
1. Aijaz, U.N., Patra, A., Siddiq, A.S., Chatterjee, B., Ghiyas Khan, M., 2018. Malware Detection on Server using Distributed Machine Learning. Proceedings of Knowledge Discovery in Information Technology and Communication Engineering (KITE-2018) 2, 172–175. URL: http://www.pices-journal.com/downloads/V2I7-PICES0046.pdf.
2. Amos, B., Turner, H., White, J., 2013. Applying machine learning classifiers to dynamic android malware detection at scale. 2013 9th International Wireless Communications and Mobile Computing Conference, IWCMC 2013, 1666–1671doi:10.1109/IWCMC.2013.6583806.
3. Baychev, Y., Bilge, L., 2018. Spearphishing malware: Do we really know the unknown?, in: International Conference on Detection of Intrusions and Malware, and Vulnerability Assessment, Springer. pp. 46–66.
4. Chumachenko, K., et al., 2017. Machine learning methods for malware detection and classification.
5. Firdausi, I., Lim, C., Erwin, A., Nugroho, A.S., 2010. Analysis of machine learning techniques used in behavior-based malware detection. Proceedings - 2010 2nd International Conference on Advances in Computing, Control and Telecommunication Technologies, ACT 2010, 201–203doi:10.1109/ACT.2010.33.
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