Biblio

Radio Frequency Identification (RFID) technology has been applied in many fields, such as tracking product through the supply chains, electronic passport (ePassport), proximity card, etc. Most companies will choose low-cost RFID tags. However, these RFID tags are almost no security mechanism so that criminals can easily clone these tags and get the user permissions. In this paper, we aim at more efficient detection proximity card be cloned and design a real-time intrusion detection system based on one tool of Complex Event Processing (Esper) in the RFID middleware. We will detect the cloned tags through training our system with the user's habits. When detected anomalous behavior which may clone tags have occurred, and then send the notification to user. We discuss the reliability of this intrusion detection system and describes in detail how to work.

The newly emerging cyber-physical systems (CPS) discover events from multiple, distributed sources with multiple levels of detail and heterogeneous data format, which may not be compare and integrate, and turn to hardly combined determination for action. While existing efforts have mainly focused on investigating a uniform CPS event representation with spatio-temporal attributes, in this paper we propose a new event model with two-layer structure, Basic Event Model (BEM) and Extended Information Set (EIS). A BEM could be extended with EIS by semantic adaptor for spatio-temporal and other attribution enhancement. In particular, we define the event process functions, like event attribution extraction and composition determination, for CPS action trigger exploit the Complex Event Process (CEP) engine Esper. Examples show that such event model provides several advantages in terms of extensibility, flexibility and heterogeneous support, and lay the foundations of event-based system design in CPS.