Intelligent Control in Automation Based on Wireless Traffic Analysis

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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 ... continued below

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Derr, Kurt & Manic, Milos August 1, 2007.

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Description

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 neurofuzzy 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.

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  • 2007 International Joint Conference on Neural Networks,Orlando, FL,08/12/2007,08/17/2007

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  • Report No.: INL/CON-07-12266
  • Grant Number: DE-AC07-99ID-13727
  • Office of Scientific & Technical Information Report Number: 915520
  • Archival Resource Key: ark:/67531/metadc890397

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  • August 1, 2007

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  • Sept. 22, 2016, 2:13 a.m.

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  • Dec. 5, 2016, 9:23 p.m.

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Derr, Kurt & Manic, Milos. Intelligent Control in Automation Based on Wireless Traffic Analysis, article, August 1, 2007; [Idaho Falls, Idaho]. (digital.library.unt.edu/ark:/67531/metadc890397/: accessed September 20, 2017), University of North Texas Libraries, Digital Library, digital.library.unt.edu; crediting UNT Libraries Government Documents Department.