تحلیل و شناسایی رفتارهای انتشاری کرم‌ها

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2. N. R. Veeramani R, “Windows API based Malware Detection and Framework Analysis,” International conference on networks and cyber security, 2012##.
3. C. Raymond, S. Mancoridis, and M. Kam, “System           Call-based Detection of Malicious Processes,” in IEEE International Conference on Software Quality, Reliability and Security, 2015.##
4. S. Naval, V. Laxmi, N. Gupta, M. Singh Gaur, and M. Rajarajan, “Exploring Worm Behaviors using DTW,” in Proceedings of the 7th International Conference on Security of Information and Networks, 2014.##
5. T. Barhoom and H. Qeshta, “Worm Detection by Combination of Classification with neural networks,” in international Arab Journal of e-Technology, 2013##.
6. D. Kharche and A. Thakare, “Internet Worm Classification and Detection using Data Mining techniques,” in IOSR Journal of Computer Engineering (IOSR- JCE), 2015.##
7. S. C. Jeeva and E. Blessing Rajsingh, “Intelligent phishing url detection using association rule mining,” in Human-centric Computing and Information Sciences, 2016.##
8. Y. Wang, B. Watson, J. Zheng, and S. Mukkamala, “ARP-Miner: Mining Risk Patterns of Android Malware,” International Workshop on Multi-disciplinary Trends in Artificial Intelligence, pp. 363-375, 2015.##
9. S. Palahan, D. Babić, S. Chaudhuri, and D. Kifer, “Extraction of Statistically Significant Malware Behaviors,” in Proceedings of the 29th Annual Computer Security Applications Conference, 2013##.
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11. M. Norouzi, A. Souri, and M. Samad Zamini, “A Data Mining Classification Approach for Behavioral Malware Detection,” Journal of Computer Networks and Communications‏, 2016.##

2.        Y. Ye, T. Li, K. Huang, Q. Jiang, and Y. Chen, “Hierarchical associative classifier (HAC) for malware,” Journal of Intelligent Information Systems, vol. 35, no. 1, pp. 1-20, 2010.##