An Extensive Study on the State-of-the-Art Literature to Identify Major Approaches and Trust Issues of Trust-based Models in VANETs
DOI:
https://doi.org/10.13052/jmm1550-4646.21345Keywords:
Vehicular ad-hoc networks (VANETs), trust-based models, intelligent transportation systems (ITS), block chain, machine learning, network securityAbstract
Therefore, Vehicular Ad-hoc Networks (VANETs) are the fundamental infrastructure required for the deployment of Intelligent Transportation Systems (ITS), which will facilitate enhanced safety, efficiency and comfort by interconnecting vehicles. Trust establishment is first and foremost for the smooth operation of VANETs, with trust appearing as necessary in the case for safe dissemination and preventive measures against malicious behaviours for nodes making use of inter-communication within the network. This paper provides a comprehensive summary of the existing trust-based models in VANETs, and takes an in-depth look into associated issues. We go through entity-centric, data-centric and hybrid models providing their strengths and limitations. This is backed by the statistics which indicate that implementing emerging technologies such as block chain and machine learning can greatly improve the reliability mechanisms. Moreover, they overcome the limitations suggested by trust models including dynamic network topology, scalability and problems related to privacy and security etc. This systematic review will facilitate the insight of researchers regarding the state-of-the-art research in trust and also highlight necessary enhancements in order to produce stable and efficient models for trust in VANETs. This highlights the need for interdisciplinary teamwork in integrating cryptographic techniques, machine learning solutions, and informative messages to develop resilient trust systems against adversarial activities on vehicular communication networks.
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References
M. Syfullah and J. M. -Y. Lim, “Data broadcasting on Cloud-VANET for IEEE 802.11p and LTE hybrid VANET architectures,” 2017 3rd International Conference on Computational Intelligence & Communication Technology (CICT), Ghaziabad, India, 2017, pp. 1–6.
Z. Yang, K. Yang, L. Lei, K. Zheng and V. C. M. Leung, “Blockchain-Based Decentralized Trust Management in Vehicular Networks,” in IEEE Internet of Things Journal, vol. 6, no. 2, pp. 1495–1505, April 2019, doi: 10.1109/JIOT.2018.2836144.
P. Kohli, S. Painuly, P. Matta and S. Sharma, “Future Trends of Security and Privacy in Next Generation VANET,” 2020 3rd International Conference on Intelligent Sustainable Systems (ICISS), Thoothukudi, India, 2020, pp. 1372–1375, doi: 10.1109/ICISS49785.2020.9316043.
P. Surasura and J. G. Naragund., “Analysis of Highway Routing Protocols for VANETS,” 2022 International Conference on Smart Generation Computing, Communication and Networking (SMART GENCON), Bangalore, India, 2022, pp. 1–7, doi: 10.1109/SMARTGENCON56628.2022.10084195.
Rasheed Hussain, Fatima Hussain, and Sherali Zeadally. 2019. Integration of VANET and 5G Security: A review of design and implementation issues. Future Generation Computer Systems 101, 2019, 843–864. doi.org/10.1016/j.future.2019.07.006.
G. Kaur, M. Khurana and A. Kaur, “Gray Hole Attack Detection and Prevention System in Vehicular Adhoc Network (VANET),” 2022 3rd International Conference on Computing, Analytics and Networks (ICAN), Rajpura, Punjab, India, 2022, pp. 1–6, doi: 10.1109/ICAN56228.2022.10007192.
R. Sultana, J. Grover and M. Tripathi, “A Novel Framework for Misbehavior Detection in SDN-based VANET,” 2020 IEEE International Conference on Advanced Networks and Telecommunications Systems (ANTS), New Delhi, India, 2020, pp. 1–6, doi: 10.1109/ANTS50601.2020.934277.
V. Karanam, B. U. Maheswari and T. S. B. Sudarshan, “Overlay based fault tolerant peer to peer multicasting for emergency data communication in VANETS,” 2017 International Conference On Smart Technologies For Smart Nation (SmartTechCon), Bengaluru, India, 2017, pp. 510–513, doi: 10.1109/SmartTechCon.2017.8358425.
P. Jain and D. Arora, “Fuzzification based intravehicular communication in VANETs,” 2017 International Conference on I-SMAC (IoT in Social, Mobile, Analytics and Cloud) (I-SMAC), Palladam, India, 2017, pp. 223–228, doi: 10.1109/I-SMAC.2017.8058344.
Qingzi Liu, Qiwu Wu and Li Yong, “A hierarchical security architecture of VANET,” International Conference on Cyberspace Technology (CCT 2013), Beijing, China, 2013, pp. 6–10, doi: 10.1049/cp.2013.2080.
R. B. Koti and M. S. Kakkasageri, “Intelligent Safety Information Dissemination Scheme for V2V Communication in VANETs,” 2019 IEEE International Conference on System, Computation, Automation and Networking (ICSCAN), Pondicherry, India, 2019, pp. 1–6, doi: 10.1109/ICSCAN.2019.8878862.
T. Diab, M. Gilg, F. Drouhin and P. Lorenz, “Anonymizing Communication in VANets by Applying I2P Mechanisms,” 2019 IEEE Global Communications Conference (GLOBECOM), Waikoloa, HI, USA, 2019, pp. 1–6, doi: 10.1109/GLOBECOM38437.2019.9013225.
R. Bala and C. R. Krishna, “Scenario Based Performance Analysis of AODV and GPSR Routing Protocols in a VANET,” 2015 IEEE International Conference on Computational Intelligence & Communication Technology, Ghaziabad, India, 2015, pp. 432–437, doi: 10.1109/CICT.2015.54.
Zheng Wei, Xiangyu Bai and Yankun Feng, “Cooperative download mechanism of vehicle communications on the highway vanet,” 2014 International Conference on Information and Communications Technologies (ICT 2014), Nanjing, China, 2014, pp. 1–6, doi: 10.1049/cp.2014.0587.
D. B. Rawat, B. B. Bista and G. Yan, “CoR-VANETs: Game Theoretic Approach for Channel and Rate Selection in Cognitive Radio VANETs,” 2012 Seventh International Conference on Broadband, Wireless Computing, Communication and Applications, Victoria, BC, Canada, 2012, pp. 94–99, doi: 10.1109/BWCCA.2012.26.
K. Sundari and A. Senthil Thilak, “Impact of realistic mobility models on the performance of VANET routing protocols,” 2023 International Conference on Signal Processing, Computation, Electronics, Power and Telecommunication (IConSCEPT), Karaikal, India, 2023, pp. 1–6, doi: 10.1109/IConSCEPT57958.2023.10170053.
P. Boonnithiphat and Y. Somchit, “New cost calculation method for finding shortest path of Hybrid VANET protocol,” 2016 International Computer Science and Engineering Conference (ICSEC), Chiang Mai, Thailand, 2016, pp. 1–6, doi: 10.1109/ICSEC.2016.7859931.
Narechania, A. Karduni, R. Wesslen and E. Wall, “VITALITY: Promoting Serendipitous Discovery of Academic Literature with Transformers & Visual Analytics,” in IEEE Transactions on Visualization and Computer Graphics, vol. 28, no. 1, pp. 486–496, Jan. 2022, doi: 10.1109/TVCG.2021.3114820.
M. Alkubeily, S. A. Sakulin and B. Hasan, “Design an Adaptive Trajectory to Support UAV Assisted VANET Networks,” 2023 5th International Youth Conference on Radio Electronics, Electrical and Power Engineering (REEPE), Moscow, Russian Federation, 2023, pp. 1–6, doi: 10.1109/REEPE57272.2023.10086859.
R. Bhakthavathsalam, S. Nayak and M. G. Srikumar, “Expediency of penetration ratio and evaluation of mean throughput for safety and commercial applications in VANETs,” 2009 International Conference on Ultra-Modern Telecommunications & Workshops, St. Petersburg, Russia, 2009, pp. 1–5, doi: 10.1109/ICUMT.2009.5345426.
I. Naqvi, A. Chaudhary and A. Rana, “Intrusion Detection in VANETs,” 2021 9th International Conference on Reliability, Infocom Technologies and Optimization (Trends and Future Directions) (ICRITO), Noida, India, 2021, pp. 1–5, doi: 10.1109/ICRITO51393.2021.9596141.
D. Gutierrez-Rojas, P. H. J. Nardelli, G. Mendes and P. Popovski, “Review of the State of the Art on Adaptive Protection for Microgrids Based on Communications,” in IEEE Transactions on Industrial Informatics, vol. 17, no. 3, pp. 1539–1552, March 2021, doi: 10.1109/TII.2020.3006845.
S.A. Soleymani, A.H. Abdullah, W.H. Hassan, M.H. Anisi, S. Goudarzi, M.A.R. Baee, S. Mandala, “Trust management in vehicular ad hoc network: a systematic review”, EURASIP Journal onWireless Communications and Networking, 2015.
Narechania, A. Karduni, R. Wesslen and E. Wall, “VITALITY: Promoting Serendipitous Discovery of Academic Literature with Transformers & Visual Analytics,” in IEEE Transactions on Visualization and Computer Graphics, vol. 28, no. 1, pp. 486–496, Jan. 2022, doi: 10.1109/TVCG.2021.3114820.
