Detecting unauthorized RFID tag carrier for secure access control to a smart building

The human race has evolved from apelike ancestor to the present state. Technology innovations are continuously promoting civilization in the world. Nevertheless, human race suffers from the menace of anti-social elements. Protecting people and their properties from terrorists is now an indispensable agenda for modern society. Towards this end, technology has been playing a big role. With the emergence of IoT around the corner, the Radio Frequency Identification (RFID) is being used to identify objects uniquely and tracking them by associating RFID tag to such objects. By integrating physical and digital worlds, it is possible to safeguard interests of stakeholders in any given outfit. In the existing systems, tag collision and inefficient matching are the two issues in the authentication process. To overcome this problem, in this paper, we considered a smart building which is to be protected from unauthorized human access. People with valid RFID tag and valid proof of biometric identification can only enter into the smart building. To realize this secure access control to a smart building, we proposed a framework that has underlying mechanisms to detect unauthorized RFID tag carrier for secure access control to a smart building. Two algorithms namely Adaptive Collision free Tag Identification Algorithm (ACTIA) and Image Matching Algorithm (IMA) with SURF feature-point and DAISY descriptor to implement the framework are proposed. We built a model application to demonstrate proof of the concept. In addition, considering the privacy problem in RFID, we insert a hardware module which has a Trusted Platform Module (TPM) chip into the RFID reader. Our experimental results revealed that the proposed system is capable of detecting people who do not have registered RFID along with the image of the person and raise appropriate alarm to alert authority concerned.