정보과학회지 (Communications of the Korean Institute of Information Scientists and Engineers)

한국정보과학회 (Korean Institute of Information Scientists and Engineers)
권호 표지

토픽 모델링을 활용한 악성 인터넷 트래픽 시그니처 패턴 자동추출 기법

  • 발행 : 2015.06.15
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참고문헌

  1. X. Zhang, C. Li, and W. Zheng, "Intrusion prevention system design," in Computer and INformation Technology, International Conference on. IEEE Computer Society, 2004, pp. 386-390.
  2. M. M. Mohammed, H. A. Chan, and N. Ventura, "Honeycyber: Automated signature generation for zero-day polymorphic worms," In Military Communications Conference, 2008. MlLCOM 2008. IEEE. IEEE, 2008, pp. 1-6.
  3. M. M. Mohammed, H. A. Chan, N. Ventura, M. Hashim, I. Amin, and E. Bashier, "Detection of zero-day polymorphic worms using principal component analysis," in Networking and Services(ICNS), 2010 Sixth International Conference on. IEEE, 2010, pp. 277-281.
  4. K. Griffin, S. Schneider, X. Bu, and T-C. Chiueh, "Automatic generation of string signatures for mal ware detection," in Recent Advances in Intrusion Detection. Springer, 2009, pp. 101-120
  5. G. Tahan, C. Glezer, Y. Elovici, and L. Rokach, "Auto-sign: an automatic signature generator for high-speed malware filtering devices," Journal in computer virology, vol 6, no. 2, pp. 91-103, 2010. https://doi.org/10.1007/s11416-009-0119-3
  6. A. Shabtai, E. Menahem, and Y. Elovici, "F-sign: Automatic, function-based signature generation for malware," Systems, Man, and Cyvernetics, Part C: Applications and Reviews, IEEE Transactions on, vol. 41. no. 4, pp. 494-508, 2011. https://doi.org/10.1109/TSMCC.2010.2068544
  7. D. M. Blei, "Probabilistic Topic Models," Communications of the ACM, 55(4) pp. 77-84, 2012 https://doi.org/10.1145/2133806.2133826
  8. D. M. Blei, A. Y. Ng, and M. I. Jordan, "Latent dirichlet allocation," the Journal of machine Learning research, vol. 3, pp. 993-1022, 2003
  9. S. Gerrish and D. M. Blei, "A language-based approach to measuring scholarly impact," The 27th International Conference on Machine Learning. pp. 375-382, 2010
  10. D. Newmani, and S. Block, "Probabilistic Topic Decomposition of an Eighteenth-Century Newspaper," Journal of the American Society for Information Science and Technology, 57(5), pp. 753-767, 2006 https://doi.org/10.1002/asi.20342
  11. W. J. Ryu, J. W. Ha, Md. Hijbul Alam, and S. K. Sang, "Extracing Trends from Twitter using a Topic Modeling Technique," Proceedings of Korea Computer Congress, pp. 191-193, 2013
  12. T. N. Rubin, A. Chambers, P.Smyth, and M. Steyvers, "Statistical topic models for multi-label document classification," Machine Learning, vol. 88, no 1-2, pp. 157-208, 2012 https://doi.org/10.1007/s10994-011-5272-5
  13. C. C. Zou, D. Towsley, and W. Gong, "Modeling and simulation study of the propagation and defense of internet e-mail worms," Dependable and Secure Computing, IEEE Transactions on vol. 4, no. 2, pp. 105-118, 2007 https://doi.org/10.1109/TDSC.2007.1001
  14. CAIDA, "The CAIDA Anonymized Internet Reaces 2014 Dataset," http://www.caida.org/data/passive/passive_2014_dataset.xml, 2014, [Online; accessed 26-March-2015].
  15. M. Parkour, "blog sobre comparticion de malware, recursoen linea disponible, "http://contagiodump.blogspot.com/, 2014, [Online; accessed 26-March-2015]
  16. D. Moore, C. Shannon et aI., "Code-red: a case study on the spread and victioms of an internet worm," in Proceedings of the 2nd ACM SIGCOMM Workshop on Internet measurment. ACM, pp. 273-284, 2002.
  17. M. Fossi, G. Egan, K. Haley, E. Johnson, T Mack, T. Adams, J. Blackbird, M. K. Low, D. Mazurek, D. McKinney et al., "Symantec internet security threat report trends for 2010," Volume XVI, 2011.