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Demo: Automatic personal identification system for security in critical services: a case study

Published:01 November 2011Publication History

ABSTRACT

The demonstration proposal moves from the capabilities of a wireless biometric badge [4], which integrates a localization and tracking service along with an automatic personal identification mechanism, to show how a full system architecture is devised to enable the control of physical accesses to restricted areas. The system leverages on the availability of a novel IEEE 802.15.4/Zigbee Cluster Tree network model, on enhanced security levels and on the respect of all the users' privacy issues.

References

  1. O. S. Adeoye. A survey of emerging biometric technologies. International Journal of Computer Applications, 9(10):1--5, November 2010.Google ScholarGoogle ScholarCross RefCross Ref
  2. J.-H. Hauer et al. An open-source ieee 802.15.4 mac implementation for tinyos 2.1, February 2011. Poster Session at 8th European Conference on Wireless Sensor Networks.Google ScholarGoogle Scholar
  3. P. Jurcik et al. Dimensioning and worst-case analysis of cluster-tree sensor networks. ACM Transactions on Sensor Networks, 7(2), August 2010. Google ScholarGoogle ScholarDigital LibraryDigital Library
  4. S. Tennina et al. Integrated gps-denied localization, tracking and automatic personal identification. In SenSys, pages 355--356. ACM, 2009. Google ScholarGoogle ScholarDigital LibraryDigital Library
  5. UPEK. Chipset tcs3-tcd42, touchstrip fingerprint authentication solution, 2009.Google ScholarGoogle Scholar
  6. WEST Aquila. Wireless embedded systems technologies -- L'Aquila, 2010, www.westaquila.com.Google ScholarGoogle Scholar

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  1. Demo: Automatic personal identification system for security in critical services: a case study

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      • Published in

        cover image ACM Conferences
        SenSys '11: Proceedings of the 9th ACM Conference on Embedded Networked Sensor Systems
        November 2011
        452 pages
        ISBN:9781450307185
        DOI:10.1145/2070942

        Copyright © 2011 Authors

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        Association for Computing Machinery

        New York, NY, United States

        Publication History

        • Published: 1 November 2011

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        Overall Acceptance Rate174of867submissions,20%
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