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Wireless Personal Communications

, Volume 104, Issue 2, pp 543–560 | Cite as

IoT Enabled RFID Authentication and Secure Object Tracking System for Smart Logistics

  • S. AnandhiEmail author
  • R. Anitha
  • Venkatasamy Sureshkumar
Article
  • 145 Downloads

Abstract

Object tracking is a fundamental problem in Supply Chain Management (SCM). Recent innovations eliminate the difficulties in traditional approach such as manual counting, locating the object, and data management. Radio Frequency Identification (RFID) implementation in SCM improves the visibility of real-time object movement and provide solutions for anti-counterfeiting. RFID is a major prerequisite for the IoT, which connects physical objects to the Internet. Various research works have been carried out to perform object tracking using GPS, video cameras, and wifi technology. These methods just hope to see the actual object, but not the characteristic changes of the object due to environmental changes. After reviewing the implementation of latest technologies in object tracking system, it is expected that the security and privacy risks in large-scale IoT systems are to be eliminated and an efficient IoT services are provided to SCM. In this work, an architecture is proposed for a fine-grained IoT-enabled online object tracking system. Cloud storage used in this architecture enhances the scalability and data management. We propose a novel secure and efficient end to end authentication protocol that is based on a symmetric key cryptosystem and one-way hash function. A new scheme is also proposed to address object tracking communication flow which uses the secret key established in the authentication process. A formal security analysis method, GNY logic is used and proved that the proposed protocol achieves an end to end authentication. Tag/Reader impersonation attack and replay attack are prevented in the proposed scheme. It also preserves forward and backward secrecy. Performance analysis shows that the proposed protocol is not storage and computationally intensive.

Keywords

Mutual authentication SCM Cloud environment RFID GNY logic Object tracking 

Notes

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Copyright information

© Springer Science+Business Media, LLC, part of Springer Nature 2018

Authors and Affiliations

  • S. Anandhi
    • 1
    Email author
  • R. Anitha
    • 1
  • Venkatasamy Sureshkumar
    • 1
  1. 1.Department of Applied Mathematics and Computational SciencesPSG College of TechnologyCoimbatoreIndia

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