Designing Secure Lightweight Blockchain-Enabled RFID-Based Authentication Protocol for Supply Chains in 5G Mobile Edge Computing Environment

Document identifier: oai:DiVA.org:ltu-76321
Access full text here:10.1109/TII.2019.2942389
Keyword: Natural Sciences, Computer and Information Sciences, Media and Communication Technology, Naturvetenskap, Data- och informationsvetenskap, Medieteknik, 5G mobile edge computing, RFID, Authentication, Blockchain, Supplychain, Security, Pervasive Mobile Computing, Distribuerade datorsystem
Publication year: 2020
Relevant Sustainable Development Goals (SDGs):
SDG 9 Industry, innovation and infrastructureSDG 16 Peace, justice and strong institutions
The SDG label(s) above have been assigned by OSDG.ai

Abstract:

Secure real-time data about goods in transit in supply chains needs bandwidth having capacity that is not fulfilled with the current infrastructure. Hence, 5G-enabled Internet of Things (IoT) in mobile edge computing is intended to substantially increase this capacity. To deal with this issue, we design a new efficient lightweight blockchain-enabled RFID-based authentication protocol for supply chains in 5G mobile edge computing environment, called LBRAPS. LBRAPS is based on bitwise exclusive-or (XOR), one-way cryptographic hash and bitwise rotation operations only. LBRAPS is shown to be secure against various attacks. Moreover, the simulation-based formal security verification using the broadly-accepted Automated Validation of Internet Security Protocols and Applications (AVISPA) tool assures that LBRAPS is secure. Finally, it is shown that LBRAPS has better trade-off among its security and functionality features, communication and computation costs as compared to those for existing protocols.

Authors

Srinivas Jangirala

Jindal Global Business School, O. P. Jindal Global University, Haryana, India
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Ashok Kumar Das

Center for Security, Theory and Algorithmic Research, International Institute of Information Technology Hyderabad, Hyderabad, Telangana, India
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Athanasios Vasilakos

Luleå tekniska universitet; Datavetenskap
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