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| Title | A Secure And Lightweight Rfid-Enabled Protocol For Iot Healthcare Environment: A Vector Space Based Approach |
|---|---|
| ID_Doc | 4460 |
| Authors | Shariq M.; Singh K. |
| Year | 2022 |
| Published | Wireless Personal Communications, 127, 4 |
| DOI | http://dx.doi.org/10.1007/s11277-022-09928-z |
| Abstract | Over some past decades, the data related to traditional medical privacy and many other similar cases are at serious risk of disclosure by a third party or an adversary. The risk of personal medical privacy data leakage by some insurance companies can disrupt the healthy environment of medical health industries as well as compromise the privacy of individuals. With the rapid evolution of Machine-to-Machine and Device-to-Device communication making our lives convenient, there has been an tremendous growth in the utilization of numerous Internet of Things (IoT) applications such as smart infrastructure, smart e-healthcare, smart cities, smart grid, smart governance, smart education, and many others. Nowadays, Radio Frequency IDentification (RFID)-enabled system is getting popular for privacy protection in healthcare systems, where RFID tags play a vital role in healthcare. Although, an adversary may tamper with the information of an RFID tag, compromise privacy along with increase forgery cases. To solve such issues, we propose an RFID-enabled authentication protocol for IoT healthcare environment based on a vector space approach to guarantee security in the healthcare system. We present a formal security analysis for the validation of our proposed protocol using BAN inference rules. The security analysis has been done to meet various security requirements such as tag location privacy, untraceability of the RFID tags, and tag anonymity. The performance security demonstrates that our protocol performs better in terms of computation and communication cost on comparing with other existing protocols. © 2022, The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature. |
| Author Keywords | Anonymity; Authentication; Healthcare; RFID; Security; Untraceability |
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