A hybrid key agreement scheme utilized elliptic curve Diffie-Hellman for IoT based advanced metering environment

The rise of smart grid, the versatile application and execution of electricity generation to consumer sides through advanced metering infrastructure merged information and communication technology with cyber-physical systems and the Internet of Things to enable reliable, secure, and comfortable oper...

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Veröffentlicht in:Earth science informatics 2024-06, Vol.17 (3), p.2447-2460
Hauptverfasser: Hasan, Mohammad Kamrul, Hasan, Md Mehedi, Budati, Anil Kumar, Islam, Shayla, Safie, Nurhizam, Ahmed, Fatima Rayan Awad, Bakar, Khairul Azmi Abu, Babiker, Nissrein Babiker Mohammed, Ghazal, Taher M.
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container_end_page 2460
container_issue 3
container_start_page 2447
container_title Earth science informatics
container_volume 17
creator Hasan, Mohammad Kamrul
Hasan, Md Mehedi
Budati, Anil Kumar
Islam, Shayla
Safie, Nurhizam
Ahmed, Fatima Rayan Awad
Bakar, Khairul Azmi Abu
Babiker, Nissrein Babiker Mohammed
Ghazal, Taher M.
description The rise of smart grid, the versatile application and execution of electricity generation to consumer sides through advanced metering infrastructure merged information and communication technology with cyber-physical systems and the Internet of Things to enable reliable, secure, and comfortable operation in a smart grid environment. From the electricity consumer side (smart meter) to the utility server, multiple components are performing operations across a public communication network. In recent years, numerous authenticated-key agreement protocols have been invented to ensure authentication between smart meters (consumer end) and utility servers. Moreover, technological advancement allows for the improvement of the advanced metering infrastructure, as well as raised cyber security vulnerabilities. To address these concerns, previous papers were proposed to erase the situation. However, during the authentication process for generating a secure session key between the smart meter and the utility server common errors are a lack of security vulnerabilities due to the system under forward secrecy and failed user anonymity issues disclose the parameter information. Furthermore, most of the proposed protocols utilized high computation cryptographic operation communication bits overheads. Therefore, we proposed a hybrid key agreements protocol leveraging elliptic curve Diffie Hellman-based cryptography with a trusted authority. The novel proposed paper expands key features within protocol such as security aspect link to mutual authentication, preserve forward secrecy, anonymity, man in the middle, replay attack etc. then performance consideration introduced lightweight cryptography solution. For the security assessments, we perform informal and formal analysis by cryptographic parameter evaluation, and the well-known tool AVISPA indicates that the proposed protocol kept multiple security features. Moreover, performance assessment utilized Python crypto library for cryptographic operations and Open-SSL generates signature between smart meters to utility server. The obtained overall time and bits operation cost of the proposed protocol required less computation and communication overheads than existing protocols. Ultimately, the proposed protocol has the potential of practical implementation in advanced metering infrastructure of smart grid.
doi_str_mv 10.1007/s12145-024-01292-9
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subjects Advanced metering infrastructure
Authentication
Communication
Computation
Cryptography
Curves
Cyber-physical systems
Cybersecurity
Earth and Environmental Science
Earth Sciences
Earth System Sciences
Electricity
Electricity meters
Information Systems Applications (incl.Internet)
Infrastructure
Internet of Things
Ontology
Parameters
Performance assessment
Privacy
Protocol
Secrecy aspects
Security aspects
Servers
Simulation and Modeling
Smart grid
Smart meters
Space Exploration and Astronautics
Space Sciences (including Extraterrestrial Physics
title A hybrid key agreement scheme utilized elliptic curve Diffie-Hellman for IoT based advanced metering environment
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