A FUZZY BASED EFFICIENT AND BLOCKCHAIN ORIENTED SECURED ROUTING IN VEHICULAR AD-HOC NETWORKS

PRAVEENA, N G; K, SELVARAJ; T, Kalai Selvi; S Nath, Srigitha; D, Prabakaran

doi:10.22111/ijfs.2024.48069.8461

Document Type : Research Paper

Authors

¹ Department of Electronics and Communication Engineering R.M.K College of Engineering and Technology, Chennai, Tamil Nadu

² Department of Information Technology PSNA College of Engineering and Technology, Dindigul

³ Department of Artificial Intelligence and Data Science Easwari Engineering College, Chennai

⁴ Department of Electronics and Communication Engineering Saveetha Engineering College, Chennai

⁵ Department of Electronics and Communication Engineering IFET College of Engineering, Villupuram, Tamil Nadu

https://doi.org/10.22111/ijfs.2024.48069.8461

Abstract

Vehicular ad-hoc networks (VANET) represent an improved iteration of Wireless Sensor Networks (WSN) with mobile sensory nodes situated within vehicles. The Vehicular Adhoc Networks hold a crucial position within smart city applications as inter-vehicle communication is deemed indispensable for maintaining the technological efficiency of the city. Despite the benefits provided by VANET, it encounters numerous challenges and drawbacks within the context of smart city applications. One such challenge pertains to the security and privacy principles of VANET. Privacy and security emerge as principal concerns associated with VANET, prompting multiple researchers to propose security solutions over the past decade. The present research endeavor focuses on elevating the quality of service (QoS) by offering an enhanced level of security for data communication. This security enhancement is achieved through the use of blockchain technology and the integration of Elliptical Curve Cryptography with secure hash functions to safeguard data communication from node to Mobile Control Unit (MCU). Furthermore, the proposed research work presents an efficient routing mechanism for data between mobile nodes and the Control Unit by employing neuro fuzzy logic to identify the optimal path from the source node to the Mobile Control Unit (MCU). The proposed work is compared with existing cryptographic methodologies as well as state-of-the-art routing path optimization algorithms, namely Particle Swarm Optimization (PSO), Genetic Algorithm (GA), Memetic Algorithm (MA), and Honey Bee Optimization (HBO), in order to establish its superiority in terms of computational time, throughput, packet delivery ratio, and accuracy.

Keywords

Main Subjects

Fuzzy Scheduling

References

[1] N. Aishwarya, N. G. Praveena, C. Karthikeyan, S. Priyanka, IoT enabled detection and notification system for
potholes and road cracks, Disruptive Technologies for Big Data and Cloud Applications. Lecture Notes in Electrical
Engineering, 905 (2022), 799-806. https://link.springer.com/chapter/10.1007/978-981-19-2177-3_74

[2] A. Bhatia, K. Haribabu, K. Gupta, A. Sahu, Realization of flexible and scalable VANETs through SDN and virtualization,
International Conference on Information Networking (ICOIN), Chiang Mai, Thailand, (2018), 280-282.
https://doi.org/10.1109/ICOIN.2018.8343125

[3] C. Chen, L. Liu, T. Qiu, D. O. Wu, Z. Ren, Delay-aware grid-based geographic routing in urban VANETs: A
backbone approach, IEEE/ACM Transactions on Networking, 27(6) (2019), 2324-2337. https://doi.org/10.1109/
TNET.2019.2944595

[4] M. Deveci, I. Gokasar, D. Pamucar, A. Alaa Zaidan, X.Wen, B. B. Gupta, Evaluation of cooperative intelligent transportation system scenarios for resilience in transportation using type-2 neutrosophic fuzzy VIKOR, Transportation
Research Part A: Policy and Practice, 173 (2023), 103666. https://doi.org/10.1016/j.tra.2023.103666

[5] M. Deveci, D. Pamucar, I. Gokasar, M. K¨oppen, B. B. Gupta, Personal mobility in metaverse with autonomous
vehicles using Q-rung orthopair fuzzy sets based OPA-RAFSI model, IEEE Transactions on Intelligent Transportation
Systems, 24(12) (2023), 15642-15651. https://doi.org/10.1109/TITS.2022.3186294

[6] M. K. Diaa, I. S. Mohamed, M. A. Hassan, OPBRP- obstacle prediction based routing protocol in VANETs, Ain
Shams Engineering Journal, 14(7) (2023), 101989. https://doi.org/10.1016/j.asej.2022.101989

[7] X. Guo, Y. Chen, L. Cao, D. Zhang, Y. Jiang, A receiver-forwarding decision scheme based on Bayesian for NDNVANET,
China Communications, 17(8) (2020), 106-120. https://doi.org/10.23919/JCC.2020.08.009

[8] M. Hashem Eiza, T. Owens, Q. Ni, Secure and robust multi-constrained QoS aware routing algorithm for VANETs,
IEEE Transactions on Dependable and Secure Computing, 13(1) (2016), 32-45. https://doi.org/10.1109/TDSC.
2014.2382602

[9] Z. Hassan, A. Mehmood, C. Maple, M. A. Khan, A. Aldegheishem, Intelligent detection of black hole attacks
for secure communication in autonomous and connected vehicles, IEEE Access, 8 (2020), 199618-199628. https:
//doi.org/10.1109/ACCESS.2020.3034327

[10] S. Hu, Y. Jia, C. She, Performance analysis of VANET routing protocols and implementation of a VANET terminal,
2017. International Conference on Computer Technology, Electronics and Communication (ICCTEC), Dalian, China,
(2017), 1248-1252. https://doi.org/10.1109/ICCTEC.2017.00272

[11] Y. Huang, M. Ma, ILL-IDS: An incremental lifetime learning IDS for VANETs, Computers and Security, 124
(2023), 102992. https://doi.org/10.1016/j.cose.2022.102992

[12] R. Hussain, F. Abbas, J. Son, H. Eun, H. Oh, Privacy-aware route tracing and revocation games in VANET-based
clouds, 2013 IEEE 9th International Conference on Wireless and Mobile Computing, Networking and Communications
(WiMob), Lyon, France, (2013), 730-735. https://doi.org/10.1109/WiMOB.2013.6673437

[13] R. Hussain, J. Son, H. Eun, S. Kim, H. Oh, Rethinking vehicular communications: Merging VANET with cloud
computing, 4th IEEE International Conference on Cloud Computing Technology and Science Proceedings, Taipei,
Taiwan, (2012), 606-609. https://doi.org/10.1109/CloudCom.2012.6427481

[14] K. Kandali, L. Bennis, H. Bennis, A new hybrid routing protocol using a modified K-means clustering algorithm
and continuous hopfield network for VANET, IEEE Access, 9 (2021), 47169-47183. https://doi.org/10.1109/
ACCESS.2021.3068074

[15] R. Kaur, T. P. Singh, V. Khajuria, Security issues in vehicular Ad-Hoc network (VANET), 2nd International
Conference on Trends in Electronics and Informatics (ICOEI), Tirunelveli, India, (2018), 884-889. https://doi.
org/10.1109/ICOEI.2018.8553852

[16] P. S. Kumar, Computationally simple and efficient method for solving real-life mixed intuitionistic fuzzy 3D assignment problems, International Journal of Software Science and Computational Intelligence, 14(1) (2022), 1-42.
https://doi.org/10.4018/ijssci.291715

[17] K. Lakshmi Narayanan, R. Naresh, An efficient key validation mechanism with VANET in real time cloud monitoring
metrics to enhance cloud storage and security, Sustainable Energy Technologies and Assessments, 56 (2023),
102970. https://doi.org/10.1016/j.seta.2022.102970

[18] Z. Onder, E. Savas, I. Canak, Some novel approaches on the (N, p, q) summability of double sequences of fuzzy
numbers and its applications, Iranian Journal of Fuzzy Systems, 20(6) (2023), 105-122. https://doi.org/10.
22111/ijfs.2023.44900.7922

[19] D. Prabakaran, H. Sathyapriya, A review on methodologies and performance analysis
of device identity masking techniques, International Journal of Scientific and Technical
Research, 8(12) (2019), 2018-2022. https://www.ijstr.org/final-print/dec2019/A-Review-On-Methodologies-And-Performance-Analysis-Of-Device-Identity-Masking-Techniques.pdf

[20] J. Qi, T. Gao, C. Zhao, A pseudonym based certificateless privacy preserving authentication scheme for VANETs,
Vehicular Communications, 38 (2022), 100535. https://doi.org/10.1016/j.vehcom.2022.100535

[21] M. Sayad Haghighi, Z. Aziminejad, Highly anonymous mobility-tolerant location-based onion routing for VANETs,
IEEE Internet of Things Journal, 7(4) (2020), 2582-2590. https://doi.org/10.1109/JIOT.2019.2948315

[22] J. Shen, C. Wang, A. Castiglione, D. Liu, C. Esposito, Trustworthiness evaluation-based routing protocol for
incompletely predictable vehicular Ad Hoc networks, IEEE Transactions on Big Data, 8(1) (2022), 48-59. https:
//doi.org/10.1109/TBDATA.2017.2710347

[23] G. D. Singh, M. Prateek, S. Kumar, M. Verma, D. Singh, H. N. Lee, Hybrid genetic firefly algorithm-based routing
protocol for VANETs, IEEE Access, 10 (2022), 9142-9151. https://doi.org/10.1109/ACCESS.2022.3142811

[24] M. Syfullah, J. M. Y. Lim, Data broadcasting on cloud-VANET for IEEE 802.11p and LTE hybrid VANET architectures,
3rd International Conference on Computational Intelligence and Communication Technology (CICT),
Ghaziabad, India, (2017), 1-6. https://doi.org/10.1109/CIACT.2017.7977321

[25] A. M. R. Tolba, Trust-based distributed authentication method for collision attack avoidance in VANETs, IEEE
Access, 6 (2018), 62747-62755. https://doi.org/10.1109/ACCESS.2018.2875906

[26] P. Upadhyay, V. Marriboina, S. Kumar, S. Kumar, M. A. Shah, An enhanced hybrid glowworm swarm optimization
algorithm for traffic-aware vehicular networks, IEEE Access, 10 (2022), 110136-110148. https://doi.org/10.
1109/ACCESS.2022.3211653

[27] Y. Wang, X. Li, X. Zhang, X. Liu, J. Weng, ARPLR: An all-round and highly privacy-preserving location-based
routing scheme for VANETs, IEEE Transactions on Intelligent Transportation Systems, 23(9) (2022), 16558-16575.
https://doi.org/10.1109/TITS.2021.3134686

[28] Z. L. Yue, C. Yue, X. H. Peng, W.Wu, VIKOR-based group decision-making method for software quality assessment,
Iranian Journal of Fuzzy Systems, 20(1) (2023), 53-70. https://doi.org/10.22111/ijfs.2023.7346

[29] A. P. Zabaleta, P. Fern´andez, J. F. Prados-Castillo, M. de Castro-Pardo, Constructing fuzzy composite indicators to
support water policy entrepreneurship, Sustainable Technology and Entrepreneurship, 1(3) (2022), 100022. https:
//doi.org/10.1016/j.stae.2022.100022

[30] S. S. Zalte, V. R. Ghorpade, R. K. Kamat, Synergizing blockchain, IoT, and AI with VANET for intelligent
transport solutions, Emerging Computing Paradigms: Principles, Advances and Applications, Wiley, (2022), 193-
210. https://doi.org/10.1002/9781119813439.ch11

[31] J. Zhang, J. Wei, On the security of privacy-enhanced authentication protocol for federated learning in VANETs,
IEEE Transactions on Information Forensics and Security, 19 (2024), 9433-9435. https://doi.org/10.1109/TIFS.
2024.3445730

A FUZZY BASED EFFICIENT AND BLOCKCHAIN ORIENTED SECURED ROUTING IN VEHICULAR AD-HOC NETWORKS

References

References

Volume 21, Issue 6November and December 2024Pages 15-31

Volume 21, Issue 6
November and December 2024
Pages 15-31