Detecting intrusions within RFID systems through non-monotonic reasoning cleaning

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.