Detecting Intrusions within RFID Systems through Non-Monotonic Reasoning Cleaning

File Size Format
67460_1.pdf 214Kb Adobe PDF View
Title Detecting Intrusions within RFID Systems through Non-Monotonic Reasoning Cleaning
Author Darcy, Peter John; Stantic, Bela; Mitrokotsa, Aikaterini; Sattar, Abdul
Publication Title Proceedings of the 2010 Sixth International Conference on Intelligent Sensors, Sensor Networks and Information Processing
Editor S. Marusic, M. Palaniswami, J. Gubbi, P. Corke
Year Published 2010
Place of publication Brisbane
Publisher IEEE
Abstract Radio Frequency Identification (RFID) technology uses wireless radio technology to automatically track items spanning various locations with little effort or cost. It is used for various applications such as supply chains and health care. Unfortunately, due to the nature of the passive RFID architecture, cloned tags lower the overall accuracy of the system and may allow unauthorised personnel access to sensitive areas/information. To combat this considerable threat, we have proposed a cleaning algorithm designed specifically to identify and flag potential intrusions utilising intelligent analysis coupled with Non-Monotonic Reasoning. We conclude this research by analysing the potential benefits and drawbacks within our proposed methodology.
Peer Reviewed Yes
Published Yes
Alternative URI http://dx.doi.org/10.1109/ISSNIP.2010.5706753
Copyright Statement Copyright 2010 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.
ISBN 978-1-4244-7176-8
Conference name International Conference on Intelligent Sensors, Sensor Networks and Information Processing -ISSNIP
Location Brisbane, Australia
Date From 2010-12-07
Date To 2010-12-10
URI http://hdl.handle.net/10072/37315
Date Accessioned 2011-01-31
Language en_US
Research Centre Institute for Integrated and Intelligent Systems
Faculty Faculty of Science, Environment, Engineering and Technology
Subject Data Format
Publication Type Conference Publications (Full Written Paper - Refereed)
Publication Type Code e1

Show simple item record

Griffith University copyright notice