DocumentCode :
2573143
Title :
Intelligent control in automation based on wireless traffic analysis
Author :
Derr, Kurt ; Manic, Milos
Author_Institution :
Idaho Nat. Lab., Idaho Falls
fYear :
2007
fDate :
25-28 Sept. 2007
Firstpage :
249
Lastpage :
256
Abstract :
Wireless technology is a central component of many factory automation infrastructures in both the commercial and government sectors, providing connectivity among various components in industrial realms (distributed sensors, machines, mobile process controllers). However wireless technologies provide more threats to computer security than wired environments. The advantageous features of Bluetooth technology resulted in Bluetooth units shipments climbing to five million per week at the end of 2005 [1, 2]. This is why the real-time interpretation and understanding of Bluetooth traffic behavior is critical in both maintaining the integrity of computer systems and increasing the efficient use of this technology in control type applications. Although neuro-fuzzy approaches have been applied to wireless 802.11 behavior analysis in the past, a significantly different Bluetooth protocol framework has not been extensively explored using this technology. This paper presents a new neuro-fuzzy traffic analysis algorithm of this still new territory of Bluetooth traffic. Further enhancements of this algorithm are presented along with the comparison against the traditional, numerical approach. Through test examples, interesting Bluetooth traffic behavior characteristics were captured, and the comparative elegance of this computationally inexpensive approach was demonstrated. This analysis can be used to provide directions for future development and use of this prevailing technology in various control type applications, as well as making the use of it more secure.
Keywords :
Bluetooth; fuzzy neural nets; intelligent control; protocols; telecommunication control; telecommunication traffic; wireless LAN; Bluetooth protocol framework; Bluetooth technology; computer systems integrity; factory automation infrastructures; intelligent control; neuro-fuzzy approaches; wireless 802.11 behavior analysis; wireless traffic analysis; Automatic control; Bluetooth; Centralized control; Communication system security; Government; Industrial control; Intelligent control; Intelligent sensors; Manufacturing automation; Wireless sensor networks; Bluetooth traffic analysis; classification; computer security; data mining; fuzzy control; intrusion detection; neuro-fuzzy controller;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Emerging Technologies and Factory Automation, 2007. ETFA. IEEE Conference on
Conference_Location :
Patras
Print_ISBN :
978-1-4244-0825-2
Electronic_ISBN :
978-1-4244-0826-9
Type :
conf
DOI :
10.1109/EFTA.2007.4416776
Filename :
4416776
Link To Document :
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