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Towards Blockchain-Based Secure IoT Communication for 5G Enabled Intelligent Transportation System


Affiliations
1 Department of Information Technology, M.O.P. Vaishnav College for Women, Chennai, Tamil Nadu, India
 

Intelligent Transportation System (ITS) with the internet of things (IoT) plays an integral role in smart city developments and enables substantial developments in modern human lifestyles. With the emergence of Fifth-Generation (5G) communication technologies, high-speed communications are enabled among multiple internet-connected devices. However, security, reliability, and scalability are significant factors that affect the communication performance of ITS. The conventional security models are mostly centralized and unsuitable for distributed low-powered IoT-enabled 5G ITS. The new-age distributed ledger technology blockchain can improve the security and reliability of ITS services. Therefore, this paper investigates a blockchain-based security mechanism, Blockchain-based Secure IoT Communication (BSIC), that protects the 5G-ITS from potential security threats. The BSIC utilizes a consortium blockchain model with Improved Proof of Reputation (IPoR) to achieve its objectives. It handles the resource limitation issues of IoT by integrating Vehicular Edge Computing (VEC) services. Further, the BSIC design includes two main components: reputation computation strategy and the IPoR mining process. The proposed model successfully builds a secure IoT communication system by integrating multi-criteria factors in subjective logic-based reputation estimation. It selects the miners by adjusting the consensus pool size according to network density and reputation and improves the consensus efficiency with minimum delay. Moreover, the experimental evaluations are carried out to analyze the efficiency of BSIC using performance metrics such as attack detection rate, consensus delay, and reputation estimation accuracy.

Keywords

Intelligent Transportation System (ITS), Internet of Things (IoT), 5G Communication, Blockchain Security, Improved Proof of Reputation (IPoR), Optimized Consensus Pool Selection.
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  • Gholamhosseinian, Ashkan, and Jochen Seitz, “Vehicle Classification in Intelligent Transport Systems: An Overview, Methods and Software Perspective”, IEEE Open Journal of Intelligent Transportation Systems, Vol. 2, pp. 173-194, 2021

  • Patel, Palak, ZunnunNarmawala, and AnkitThakkar, “A survey on intelligent transportation system using internet of things”, Emerging Research in Computing, Information, Communication and Applications, pp. 231-240, 2019

  • Yu, Miao, “Construction of Regional Intelligent Transportation System in Smart City Road Network via 5G Network”, IEEE Transactions on Intelligent Transportation Systems, 2022

  • Painuly, Sakshi, Sachin Sharma, and PriyaMatta, “Future trends and challenges in next generation smart application of 5G-IoT”, In 2021 5th International Conference on Computing Methodologies and Communication (ICCMC)IEEE, pp. 354-357, 2021

  • Balasubramaniam, Anandkumar, Malik Junaid Jami Gul, Varun G. Menon, and Anand Paul, “Blockchain for intelligent transport system”, IETE Technical Review, Vol. 38, No. 4, pp. 438-449, 2021

  • Bhutta, Muhammad NasirMumtaz, Amir A. Khwaja, Adnan Nadeem, Hafiz Farooq Ahmad, Muhammad Khurram Khan, Moataz A. Hanif, HoubingSong,MajedAlshamari, and Yue Cao, “A survey on blockchain technology: evolution, architecture and security”, IEEE Access, Vol. 9, pp. 61048-61073, 2021

  • Dib, Omar, Kei-Leo Brousmiche, Antoine Durand, Eric Thea, and Elyes Ben Hamida, “Consortium blockchains: Overview, applications and challenges”, International Journal on Advances in Telecommunications, Vol. 11, No. 1, pp. 51-64, 2018

  • Rudskoy, Andrey, Igor Ilin, and Andrey Prokhorov, “Digital twins in the intelligent transport systems”, Transportation Research Procedia, Vol. 54, pp. 927-935, 2021

  • Gohar, Ali, and Gianfranco Nencioni, “The role of 5G technologies in a smart city: The case for intelligent transportation system”, Sustainability, Vol. 13, No. 9, pp. 1-24, 2021

  • Jabbar, Rateb, EyaDhib, Ahmed ben Said, MoezKrichen, NooraFetais, EsmatZaidan, and KamelBarkaoui, “Blockchain Technology for Intelligent Transportation Systems: A Systematic Literature Review”, IEEE Access, Vol. 10, pp. 20995-21031, 2022

  • FantinIrudaya Raj, E., &Appadurai, M, “Internet of things-based smart transportation system for smart cities”, In Intelligent Systems for Social Good, pp. 39-50, 2022

  • Kim, J.; Moon, Y.J.; Suh, I.S. “Smart Mobility Strategy in Korea on Sustainability, Safety and Efficiency Toward 2025” IEEE Intell. Transp. Syst. Mag. Vol. 7, No. 4, pp. 58–67, 2015

  • Tokody, D.; Mezei, I.J. “Creating smart, sustainable and safe cities”, In Proceedings of the IEEE 15th International Symposium on Intelligent Systems and Informatics (SISY), pp. 141–146, 2017

  • Velez, G.; Quartulli, M.; Martin, A.; Otaegui, O.; Aseem, H, “Machine Learning for Autonomic Network Management in a Connected Cars Scenario”, In Proceedings of the International Workshop on Communication Technologies for Vehicles, pp. 111–120, 2016

  • Marletto, G, “Who will drive the transition to self-driving? A socio-technical analysis of the future impact of automated vehicles”, Technol. Forecast. Soc. Chang, Vol. 139, pp. 221–234, 2019

  • Vulgarakis, A.; Karapantelakis, A.; Fersman, E.; Schrammar, N, “5G Teleoperated Vehicles for Future Public Transport”, Available online: https://www.ericsson.com/en/blog/2017/6/5g-teleoperated-vehicles-forfuture-public-transport, 2020

  • Scholliers, J.; van Sambeek, M.; Moerman, K, “Integration of vulnerable road users in cooperative ITS systems”, European Transport Research Review, Vol. 9, No. 15, pp. 1-9, 2017

  • Amer, H.M.; Al-Kashoash, H.; Hawes, M.; Chaqfeh, M.; Kemp, A.; Mihaylova, L,“Centralized simulated annealing for alleviating vehicular congestion in smart cities, Technol, Vol. 142, pp. 235–248, 2019

  • X. Zhang and D. Wang, “Adaptive traffic signal control mechanism for intelligent transportation based on a consortium blockchain”, IEEE Access, Vol. 7, pp. 97281–97295, 2019

  • P. Zeng, X. Wang, H. Li, F. Jiang, and R. Doss, “A scheme of intelligent traffic light system based on distributed security architecture of blockchain technology,” IEEE Access, vol. 8, pp. 33644–33657, 2020.

  • D. Wang and X. Zhang, “Secure data sharing and customized services for intelligent transportation based on a consortium blockchain”, IEEE Access, Vol. 8, pp. 56045–56059, 2020

  • S. Ahmed, M. S. Rahman, M. S. Rahaman, and others, “A blockchain-based architecture for integrated smart parking systems”, in Proceedings of the IEEE International Conference on Pervasive Computing and Communications Workshops (PerCom Workshops), pp. 177–182, 2019

  • M. M. Badr, W. A. Amiri, M. M. Fouda, M. M. E. A. Mahmoud, A. J. Aljohani, and W. Alasmary, “Smart parking system with privacy preservation and reputation management using blockchain”, IEEE Access, Vol. 8, pp. 150823–150843, 2020

  • S. R. Maskey, S. Badsha, S. Sengupta, and I. Khalil, “Bits: blockchain based intelligent transportation system with outlier detection for smart city,” in Proceedings of the IEEE International Conference on Pervasive Computing and Communications Workshops (PerCom Workshops), pp. 1–6, 2020

  • Y. Li, K. Ouyang, N. Li, R. Rahmani, H. Yang, and Y. Pei, “A blockchain-assisted intelligent transportation system promoting data services with privacy protection”, Sensors, Vol. 20, No. 9, pp. 1-22, 2020

  • L. A. Hˆır¸tan, C. Dobre, and H. Gonzalez-V ´ elez, “Blockchain-based reputation for intelligent transportation systems,” Sensors, Vol. 20, 2020

  • Müller, Johannes, Michael Gabb, and Michael Buchholz., “A subjective-logic-based reliability estimation mechanism for cooperative information with application to IV's safety”, In IEEE Intelligent Vehicles Symposium (IV), pp. 1940-1946, 2019

  • Zhuang, Qianwei, Yuan Liu, Lisi Chen, and Zhengpeng Ai, “Proof of reputation: A reputation-based consensus protocol for blockchain based systems”, In Proceedings of the 2019 International Electronics Communication Conference, pp. 131-138. 2019

  • Jameel, Marwan, and OğuzYayla, “PSO based Blockchain Committee Member Selection”,In 2021 6th IEEE International Conference on Computer Science and Engineering (UBMK), pp. 725-730, 2021.


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  • Towards Blockchain-Based Secure IoT Communication for 5G Enabled Intelligent Transportation System

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Authors

Sakthi Kumaresh
Department of Information Technology, M.O.P. Vaishnav College for Women, Chennai, Tamil Nadu, India

Abstract


Intelligent Transportation System (ITS) with the internet of things (IoT) plays an integral role in smart city developments and enables substantial developments in modern human lifestyles. With the emergence of Fifth-Generation (5G) communication technologies, high-speed communications are enabled among multiple internet-connected devices. However, security, reliability, and scalability are significant factors that affect the communication performance of ITS. The conventional security models are mostly centralized and unsuitable for distributed low-powered IoT-enabled 5G ITS. The new-age distributed ledger technology blockchain can improve the security and reliability of ITS services. Therefore, this paper investigates a blockchain-based security mechanism, Blockchain-based Secure IoT Communication (BSIC), that protects the 5G-ITS from potential security threats. The BSIC utilizes a consortium blockchain model with Improved Proof of Reputation (IPoR) to achieve its objectives. It handles the resource limitation issues of IoT by integrating Vehicular Edge Computing (VEC) services. Further, the BSIC design includes two main components: reputation computation strategy and the IPoR mining process. The proposed model successfully builds a secure IoT communication system by integrating multi-criteria factors in subjective logic-based reputation estimation. It selects the miners by adjusting the consensus pool size according to network density and reputation and improves the consensus efficiency with minimum delay. Moreover, the experimental evaluations are carried out to analyze the efficiency of BSIC using performance metrics such as attack detection rate, consensus delay, and reputation estimation accuracy.

Keywords


Intelligent Transportation System (ITS), Internet of Things (IoT), 5G Communication, Blockchain Security, Improved Proof of Reputation (IPoR), Optimized Consensus Pool Selection.

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DOI: https://doi.org/10.22247/ijcna%2F2023%2F218518