آگاهی وضعیتی حملات منع سرویس توزیع شده براساس پیش بینی (تجسم آینده نزدیک) صحنه نبرد مبتنی بر نظریه شواهد دمپستر‐ شافر و بیزین

   [1]      M. H. Hamza Kalai and M. R. M. J. shaman, “IP optimization ant colony algorithm for tracking denial of service attacks,” Journal of electronic and cyber defense, vol. 1, vol. 4, 2014. (In Persian), Ihu.ac.ir##

   [2]      K. Kumar, M. Sachdeva, and K. Arora, “Impact Analysis of Recent DDoS Attacks,” International Journal on Computer Science and Engineering (IJCSE), ISSN: 0975-3397, vol. 3 no. 2, Feb. 2011.##

   [3]      H. Akbari, et al, “A Framework For The Status Estimation In Distributed Denial-of-Service Attacks By Data Fusion of    Human-And-Technical Sensors Based on Fuzzy Logic,” Journal of Electronical & Cyber Defence vol. 5, no. 3, 2017, Serial No. 19 (In Persian).##

   [4]      A. J. Rashidi, et al, “A New Framework for Projection of Cyber-Attacks Based on Information Fusion,” Journal of Passive defense Quarterly,Vol. 6, No. 2, 2015, (In Persian).##

   [5]      C. Rossow and H. Bos. Arne Welzel, “On Measuring the Impact of DDoS Botnets,” EuroSec’14, Amsterdam, Netherlands, April 2014.##

   [6]      Z. Peng, W. Zhao, and J. Long, “Grey synthetic clustering method for DoS attack effectiveness evaluation,” International Conference on Modeling Decisions for Artificial Intelligence, pp. 139-149, Springer Berlin Heidelberg, July 2011.##

   [7]      C. Nordlohne, “Measuring Botnet Prevalence: Malice Value,” in University of Applied Sciences Gelsenkirchen, Germany, January 7, 2015.##

   [8]      P. A. A. M. B. B. Gupta, “Estimating Strength of Ddos Attack Using Various Regression Models,” in springer, 2011.##

   [9]      C. Bannwart, “Predicting the Impact of Denial of Service Attacks,” Master Thesis MA-2012-03, 2012.##

[10]      R. Vasudevan, et al, “MIDAS: An Impact Scale for DDoS attacks,” Proceedings of the 2007 15th IEEE Workshop on Local and Metropolitan Area Networks, 2007.##

[11]      T. Dubendorfer, A. Wagner, and B. Plattner, “An economic damage model for large-scale Internet attacks,” In 13th IEEE International Workshops on Enabling Technologies: Infrastructure for Collaborative Enterprises, pp. 223–228, IEEE Comput. Soc., 2004.##

[12]      http://cs.mcgill.ca/~rwest/wikispeedia/ wpcd/wp/w/World_Wide_Web.htm##

[13]      K. Dadashtabar, et al, “Projection of Multi stage cyber Attack Based on Belief Model and fuzzy inference,” journal of Electronical & cyber Defense, vol. 3, no. 2, serial no.10, 2015 (In Persian).##

[14]      Du, Haitao, “Probabilistic Modeling and Inference for Obfuscated Network Attack Sequences,” Thesis, Rochester Institute of Technology, 2014. Accessed from http://scholarworks.rit.edu/theses.##

[15]      F. S. Yuan Yuan, “Data Fusion-based Resilient Control System under DoS Attacks: A Game Theoretic Approach,” International Journal of Control Automation and Systems, vol. 13, no. 3, June 2015.##

[16]      M. R. Endsley, “Final Reflections: Situation Awareness Models and Measures,” Journal of Cognitive Engineering and Decision Making, March 2015.##

[17]      H. Akbari and S. M. Safavi, “Determine of the victim machine situation by data fusion of cyber sensors at packet level,” Journal of Command and Control, vol. 1, no. 2, pp. 39-64, winter 2017 (In Persian).##

[18]      H. Akbari and S. M. Safavi, “Estimate botnet using vicarious servers in distributed denial of service attacks,” Journal of Electronical & Cyber Defence pp. 95-109, vol. 5, no. 4, Serial No. 20, 2018 (In Persian).##

[19]      A. Welzel, C. Rossow, and H. Bos, “On Measuring the Impact of DDoS Botnets,” VU University Amsterdam, 2014. available: http://dx.doi.org/10.1145/2592791.2592794##