Yipeng Wang

Publications (7)0 Total impact

• Conference Proceeding: Using Entropy to Classify Traffic More Deeply.

  Yipeng Wang, Zhibin Zhang, Li Guo, Shuhao Li
  Sixth International Conference on Networking, Architecture, and Storage, NAS 2011, Dalian, China, 28-30 July, 2011; 01/2011
• Conference Proceeding: Biprominer: Automatic Mining of Binary Protocol Features.

  Yipeng Wang, Xingjian Li, Jiao Meng, Yong Zhao, Zhibin Zhang, Li Guo
  12th International Conference on Parallel and Distributed Computing, Applications and Technologies, PDCAT 2011, Gwangju, Korea, October 20-22, 2011; 01/2011
• Conference Proceeding: Traffic classification beyond application level: identifying content types from network traces.

  Yipeng Wang, Zhibin Zhang, Li Guo
  Proceedings of the 2011 ACM Symposium on Applied Computing (SAC), TaiChung, Taiwan, March 21 - 24, 2011; 01/2011
• Conference Proceeding: A Propagation Model for Social Engineering Botnets in Social Networks.

  Shuhao Li, Xiao-chun Yun, Zhiyu Hao, Xiang Cui, Yipeng Wang
  12th International Conference on Parallel and Distributed Computing, Applications and Technologies, PDCAT 2011, Gwangju, Korea, October 20-22, 2011; 01/2011
• Source

  Available from: people.cs.vt.edu

  Conference Proceeding: Inferring Protocol State Machine from Network Traces: A Probabilistic Approach.

  Yipeng Wang, Zhibin Zhang, Danfeng (Daphne) Yao, Buyun Qu, Li Guo
  Applied Cryptography and Network Security - 9th International Conference, ACNS 2011, Nerja, Spain, June 7-10, 2011. Proceedings; 01/2011
• Source

  Available from: Li Guo

  Conference Proceeding: Automatic mining of distinguishers with unknown protocol format

  Yipeng Wang, Liyan Wang, Xingjian Li, Zhibin Zhang, Li Guo
  [show abstract] [hide abstract]
  ABSTRACT: Unknown protocol inference are useful for many security application, including intrusion detection which always depends on deep packet inspection. However, mining distinguishers with unknown protocol format generally turns to protocol reverse engineering. In this paper, we propose a novel method for automatically abstracting protocol distinguishers based on statistic and our method is proved to be a good tool in finding protocol specifications. To implement and validate our method, we deign a serial of experiments. Then, applied to analyze of the indicators - recall is 99% while precise equals 99.9%, the method was proved highly efficient in the real-world environment.
  Intelligent Computing and Integrated Systems (ICISS), 2010 International Conference on; 11/2010
• Conference Proceeding: Inferring Protocol State Machine from Real-World Trace.

  Yipeng Wang, Zhibin Zhang, Li Guo
  Recent Advances in Intrusion Detection, 13th International Symposium, RAID 2010, Ottawa, Ontario, Canada, September 15-17, 2010. Proceedings; 01/2010