Detection of the Network Intrusion under IPV6

Abstract:

This paper introduces an intrusion detection system which uses IPV6 principle to work out a new intrusion mode so that the intrusion behaviors could be identified. This system adopts the intrusion features to analyze the consistency and deviations which is different from the common methodology which utilizes the historic data for this purposes. A Snort system is proposed to test the Network Intrusion Detection System (NIDS) that is based on IPV6.

• Periodical: Advanced Materials Research (Volume 705)
• Pages: 579-583
• DOI: https://doi.org/10.4028/www.scientific.net/AMR.705.579
• Online since: June 2013
• Authors: Ying Shen, Wei Hua Zhu
• Keywords: Classification, Detection, IPv6, Network Intrusion, Snort

References

[1] Kumar, M., Verma, A., & Srividya, A. (2009). Response-Time Modeling of Controller Area Network (CAN). Distributed Computing and Networking, 163-174.

DOI: 10.1007/978-3-540-92295-7_20

[2] Tindell, K., Burns, A., & Wellings, A. J. (1995). Calculating controller area network (CAN) message response times. Control Engineering Practice, 3(8), 1163-1169.

DOI: 10.1016/0967-0661(95)00112-8

[3] Zhong, R. Y., Huang, G. Q., Dai, Q. Y., Zhou, K., Qu, T., and Hu, G. J. 2011. RFID-enabled real-time manufacturing execution system for discrete manufacturing: Software design and implementation. International Conference on Networking, Sensing and Control, Delft, the Netherlands, 11-13 April, pp.311-316.

DOI: 10.1109/icnsc.2011.5874906

[4] Dai, Q. Y., Zhong, R. Y., Huang, G. Q., Qu, T., Zhang, T., & Luo, T. Y. 2012. Radio frequency identification-enabled real-time manufacturing execution system: a case study in an automotive part manufacturer. International Journal of Computer Integrated Manufacturing, 25(1), PP. 51-65.

DOI: 10.1080/0951192x.2011.562546

[5] Zhong, R. Y., Dai, Q. Y., Zhou, K., and Dai, X. B. 2008. Design and Implementation of DMES Based on RFID. Proceeding of the 2nd International Conference on Anti-counterfeiting, Security and Identification, Guiyang, 20-23 Aug. pp.475-477.

DOI: 10.1109/iwasid.2008.4688433

[6] Zhong, R. Y., Dai, Q. Y., Qu, T., Hu, G. J., & Huang, G. Q. (2013). RFID-enabled Real-time Manufacturing Execution System for Mass-customization Production. Robotics and Computer-Integrated Manufacturing, 29(2), 283-292.

DOI: 10.1016/j.rcim.2012.08.001

[7] Wang, M. L., Qu, T., Zhong, R. Y., Dai, Q. Y., Zhang, X. W., & He, J. B. (2012). A radio frequency identification-enabled real-time manufacturing execution system for one-of-a-kind production manufacturing: a case study in mould industry. International Journal of Computer Integrated Manufacturing 25(1), 20-34.

DOI: 10.1080/0951192x.2011.575183

[8] Huang, G. Q., Qu, T., Zhong, R. Y., Li, Z., Yang, H. D., Zhang, Y. F., Chen, Q. X., Jiang, P. Y., &Chen, X. (2011). Establishing production service system and information collaboration platform for mold and die products. The International Journal of Advanced Manufacturing Technology, 52(9), 1149-1160.

DOI: 10.1007/s00170-010-2762-8

[9] Wang, M. L., Dai, Q. Y., Zhong, R. Y., & Huang, G. Q. (2012). RFID-enabled Real-time Mechanical Workshop Training Center. International Journal of Engineering Education, 28(5), 1199-1212.

[10] Zhang, Y. H., Dai, Q. Y., & Zhong, R. Y. (2009). An Extensible Event-Driven Manufacturing Management with Complex Event Processing Approach. International Journal of Control and Automation, 2(3), 1-12.