Intelligent control in automation based on wireless traffic analysis

IEEE International Conference on Emerging Technologies and Factory Automation, ETFA

Volumn , Issue , 2007, Pages 249-256

  Derr, Kurt ^a   Manic, Milos ^b  

^a IDAHO NATIONAL LABORATORY   (United States)

^b UNIVERSITY OF IDAHO   (United States)

Author keywords

Bluetooth traffic analysis; Classification; Computer security; Data mining; Fuzzy control; Intrusion detection; Neuro fuzzy controller

Indexed keywords

APPLICATIONS.; BEHAVIOR ANALYSES; BLUETOOTH PROTOCOLS; BLUETOOTH TECHNOLOGIES; CENTRAL COMPONENTS; CLASSIFICATION; COMPUTATIONALLY INEXPENSIVE; COMPUTER SECURITY; CONTROL TYPES; DISTRIBUTED SENSORS; FUTURE DEVELOPMENTS; FUZZY APPROACHES; GOVERNMENT SECTORS; IN CONTROLS; INFRA STRUCTURES; MOBILE PROCESSES; NEURO-FUZZY CONTROLLER; NUMERICAL APPROACHES; TEST EXAMPLES; TRAFFIC BEHAVIORS; WIRED ENVIRONMENTS; WIRELESS TECHNOLOGIES; WIRELESS TRAFFICS;

AUTOMATION; BLUETOOTH; CELLULAR TELEPHONE SYSTEMS; CONTROL THEORY; DATA MINING; FACTORY AUTOMATION; INFORMATION MANAGEMENT; INTRUSION DETECTION; NETWORK SECURITY; REAL TIME SYSTEMS; SECURITY SYSTEMS; SEMICONDUCTOR QUANTUM DOTS; SYSTEMS ANALYSIS; TECHNOLOGY; WIRELESS TELECOMMUNICATION SYSTEMS;

FUZZY CONTROL;

EID: 47849120112     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/EFTA.2007.4416776     Document Type: Conference Paper

References (30)

1. "Bluetooth SIG Announces Best of CES Contest Winners", Bluetooth SIG (Special Interest Group) Press Release, URL from January 9, 2006: http://www.bluetooth.com/Bluetooth/Press/SIG/ Bluetooth_SIG_Announces_Best_of_CES_Contest_Winners.htm.
2. "Bluetooth Shipments Climb to Five Million Per Week", Bluetooth SIG (Special Interest Group) Press Release, URLfrom May 24, 2005: http://bluetooth.com/Bluetoolh/Press/SIG/ Bluetooth_Shipments_Climb_to_Five_Million_Per_Week.htm.
3. Steigmann, R., Endresen, J., "Wireless networking seeks role in factory automation", http://wireless.industrial-networking.com/articles/ articledisplay.asp?id=1357, URL from May 2007.
4. SENA Technologies, "Industrial Automation", http://www.sena.com/solutions/factory_automation/, URL from May 2007.
5. R. McMillan, '"BlueBag' PC sniffs out Bluetooth flaws",IDG News Service, URL from June 7, 2006: http://www.infoworld.com/article/06/06/07/ 79045_HNbluebag_1.html.
6. E. Casilari, A. Alfaro, A. Reyes, A. Diaz-Estrella, and F. Sandoval, 1998, "Neural modeling of Ethernet traffic over ATM networks," EANN '98, June, Gibraltar, pp. 304-307.
7. A. Aussem, A. Mahul, and R. Marie, 2000, "Queueing Network Modeling with Distributed Neural Networks for Service Quality Estimation in B-ISDN Networks," Proceedings IEEEINNS- ENNS International Joint Conference on Neural Networks, Como, Italy, pp. 392-397.
8. J. Cannady, Artifical Neural Networks for Misuse Detection, National Information Systems Security Conference, October 1998.
9. H. Kazemian, L. Meng, A Fuzzy Control Scheme for Video Transmission in Bluetooth Wireless, Elsevier Science, 176 (2006), 1266-1289.
10. H. Kazemian, L. Meng, Neuro-Fuzzy Control for MPEG Video Transmission Over Bluetooth, IEEE Transactions on Systems, Man, and Cybernetics, Volume 36, Number 6, November 2006
11. H. Shah, J. Undercoffer, A. Joshi, Fuzzy Clustering for Intrusion Detection, IEEE International Conference on Fuzzy Systems, May 2003, pp. 1274-1278
12. I. Suliman, J. Lehtomaki, I. Oppermann, Fuzzy-Based Intra-Piconet Scheduling in Bluetooth, Proceedings of the 2005 Finnish Signal Processing Symposium, August 25, 2005, pp. 54-57
13. L. Cheng, I. Marsic, Fuzzy Reasoning for Wireless Awareness, International Journal of Wireless Information Networks, Vol. 8, No. 1, 2001
14. H. Jin, J. Sun, H. Chen, Z. Han, A Fuzzy Data Mining Based Intrusion Detection Model, IEEE International Workshop on Future Trends of Distributed Computing Systems, May 2004
15. John Dickerson, Julie Dickerson, Fuzzy Network Profiling for Intrusion Detection, Proceedings of NAFIPS 19th International Conference of the North American Fuzzy Information Processing Society, Atlanta, July, 301-306, 2000.
16. "Escort Memory Systems Goes Mobile With the Element RFID Bluetooth Reader", http://news.thomasnet.com/fullstory/513190, March 16, 2007
17. "Briefing: ABB's Trend with Wireless Automation Applications", http://www.arcweb.com/txtlstvw.aspx?LstID=c316d114-e794-4706-80fa- 90750c261247&PrintPreview, October 9, 2006
18. "Automation World", http://www.automationworld.com/view-3154, May 2007
19. D. Nauck, R. Kruse, A Neuro Fuzzy Controller Learning by Fuzzy Error Propagation, Proceedings of the Conference of North American Fuzzy Information Processing Society, NAFIPS 1992, pp. 388-397.
20. J. Mendel, Type-2 Fuzzy Sets and Systems: An Overview, IEEE Computational Intelligence, Vol. 2 No. 1, February 2007
21. R. Jang, Neuro-Fuzzy Modeling: Architectures, Analyses and Applications, PhD Thesis, University of California, Berkeley, July 1992.
22. D. Nauck and R. Kruse, NEFCON-I: An X-Window Based Simulator for Neural Fuzzy Controllers. In Proceedings of the IEEE International Conference on Neural Networks, Orlando, pp. 1638-1643, 1994.
23. S.M. Sulzberger, N.N. Tschicholg-Gurman, S.J. Vestli, FUN: Optimization of Fuzzy Rule Based Systems Using Neural Networks, In Proceedings of IEEE Conference on Neural Networks, San Francisco, pp. 312-316, 1993.
24. J.C. Feng and L.C. Teng, An Online Self Constructing Neural Fuzzy Inference Network and its Applications, IEEE Transactions on Fuzzy Systems, Vol 6, No.1, pp. 12-32, 1998.
25. C. Bishop, Pattern Recognition and Machine Learning, Springer Science LLC, 2006, pp. 423-459.
26. E. Cox, Fuzzy Modeling and Genetic Algorithms for Data Mining and Exploration, Morgan Kaufmann Publishers, 2005, pp. 207-263.
27. J. Han, M. Kamber, Data Mining, Morgan Kaufmann Publishers, 2006, pp. 335-391.
28. Kohonen, T. (1982) Self-organized formation of topologically correct feature maps. Biological Cybernetics, 43:59-69.
29. Kohonen, T. (1988) Self-Organization and Associative Memory, 2nd Ed. New York, Springer-Verlag.
30. N. Mastorakis, General Fuzzy Systems as Extensions of the Takagi-Sugeno Methodology, WSEAS Transactions on Systems, April 2004, pp. 795 - 800