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RSA BASED SECRET KEY GENERATION AND AUTHORIZATION METHOD IN CLOUD BASED VANETS


Affiliations
1 S N M V College of Arts and Science. India, India
2 Dr. N G P Arts and Science College, India
 

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Private transportation has become a daily need for most people nowadays. Because of the increased use of private transportation by modern society, road accidents have become a major issue. Vehicular communication is one of the methods to reduce the number of dangerous accidents. It is possible to communicate between two vehicles, Known as Vehicle to Vehicle Communication (V2V). Road Side Unit (RSU) is a communication with a specific fixed unit. If communication is established between the vehicle and nearby infrastructure (V2I), accidents can be avoided. Inter Vehicular communication is the term for this type of communication. It also lets vehicles share information such as post-accident investigation, safety information for accident prevention, traffic jams, and many more. Europe and North America are at the forefronts of research to conclude vehicular communication standards. It recognizes technical specification for enabling the communication between vehicles and the road infrastructure and between the various manufacturers. In the existing method, Cloud-based VANET helps to monitor the road condition. Through the connected Vehicular Ad-hoc Network (VANET) and cloud computing technologies, the entities in VANET were able to access the valuable storage and computing services made available by some cloud service provider. The benefits cannot be given away for free because their combination introduces various privacy and security requirements for VANET applications. The authority should monitor real-time road condition using a cloud server, so sound responses to emergencies can be made on time, according to the cloudbased Road Condition Monitoring (RCoM) scenario examined here. Vehicles on site should report information if any dangerous road condition is detected, such as geologic hazards or accidents. Three major issues are discussed in RCoM. An efficient RCoM method was suggested to address these three issues to analyze its efficiency theoretically and to demonstrate its practicality through experiments. They were generated using random numbers and help us in authorization process. So, the malicious vehicles easily identity it. To resolve the issues mentioned above, one Improved Road Condition monitoring system (IRCOM) was initiated. Using the random key generator, the first sub authority delegation is performed, and by using the RSA algorithm, the vehicle registration is attained by generating individual keys. The distribution of the token is based on the individual key and time stamp assigned to each vehicle. Cloud will categorize the received report using the key, token and time stamp. Finally, the route authority will decode the reports and, if necessary, will take the appropriate action.
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  • S. ur Rehman, M.A. Khan, T.A. Zia and L. Zheng, “Vehicular Ad-Hoc Networks (VANETs)-An Overview and Challenges”, Journal of Wireless Networking and Communications, Vol. 3, No. 3, pp.29-38, 2013.

  • M.B. Mansour, C. Salama, H.K. Mohamed and S.A. Hammad, “VANET Security and Privacy-An Overview”, International Journal of Network Security and Its Applications, Vol. 10, No. 2, pp. 13-34, 2018.

  • T.Y. Wu, Y.B. Wang and W.T. Lee, “Mixing greedy and predictive approaches to improve geographic routing for VANET,” Wireless Communications and Mobile Computing, Vol.12, No.4, pp.367-378, 2012.

  • M. Umar, D. Babu and P. Singh, “Automation of Energy Conservation for Nodes in Wireless Sensor Networks”, International Journal of Future Generation Communication and Networking, Vol. 13, No. 3, pp. 1-12, 2020.

  • A. Daniel and K.M. Balamurugan, “A Novel Approach to Minimize Classifier Computational Overheads in Big Data using Neural Networks”, Physical Communication, Vol. 42, pp. 1-23, 2020.

  • J.A. Guerrero-Ibanez, S. Zeadally and J. Contreras-Castillo, “Integration Challenges of Intelligent Transportation Systems with Connected Vehicle, Cloud Computing, and Internet of Things Technologies”, IEEE Wireless Communications, Vol. 22, No. 6, pp.122-128, 2015.

  • Y. Wang, Y. Ding, Q. Wu, Y. Wei, B. Qin and H. Wang, “Privacy-Preserving Cloud-based Road Condition Monitoring with Source Authentication in Vanets”, IEEE Transactions on Information Forensics and Security, Vol. 14, No .7, pp. 1779-1790, 2018.

  • B. Al-Otaibi, N. Al-Nabhan and Y. Tian, “PrivacyPreserving Vehicular Rogue Node Detection Scheme for Fog Computing”, Sensors, Vol. 19, No. 4, pp. 965-982, 2019.

  • Y. Agarwal, K. Jain and O. Karabasoglu, “Smart Vehicle Monitoring and Assistance using Cloud Computing in Vehicular Ad Hoc Networks”, International Journal of Transportation Science and Technology, Vol. 7, No. 1, pp. 60-73, 2018.

  • H. Tan, D. Choi, P. Kim, S. Pan and I. Chung, “Secure Certificateless Authentication and Road Message Dissemination Protocol in VANETs”, Wireless Communications and Mobile Computing, Vol. 9, No. 2, pp. 1-14, 2018.

  • L. Zhang, C. Hu, Q. Wu, J. Domingo-Ferrer and B. Qin, “Privacy-Preserving Vehicular Communication Authentication with Hierarchical Aggregation and Fast Response”, IEEE Transactions on Computers, Vol. 65, No. 8, pp. 2562-2574, 2015.

  • M.S. Sheikh and J. Liang, “A Comprehensive Survey on VANET Security Services in Traffic Management System”, Wireless Communications and Mobile Computing, Vol. 12, No. 1, pp. 1-24, 2019.

  • L. Zhang, D. Gao, C.H. Foh, D. Yang and S. Gao, “A Survey of Abnormal Traffic Information Detection and Transmission Mechanisms in VSNs”, International Journal of Distributed Sensor Networks, Vol. 10, No. 5, pp. 1-13, 2014.

  • S.C. Radopoulou and I. Brilakis, “Improving Road Asset Condition Monitoring”, Transportation Research Procedia, Vol. 23, No. 1, pp. 3004-3012, 2016.

  • L. Forslof and H. Jones, “Roadroid: Continuous Road Condition Monitoring with Smart Phones”, Journal of Civil Engineering and Architecture, Vol. 9, No. 4, pp. 485-496, 2015.

  • S. Sattar, S. Li and M. Chapman, “Road Surface Monitoring using Smartphone sensors: A Review”, Sensors, Vol. 18, No. 11, pp. 1-21, 2018.

  • L. Zhang, X. Men, K.K.R. Choo, Y. Zhang and F. Dai, “Privacy-Preserving Cloud Establishment and Data Dissemination Scheme for Vehicular Cloud”, IEEE Transactions on Dependable and Secure Computing, Vol. 9, No. 3, pp. 1-14, 2018.

  • L. Liu, Y. Wang, J. Zhang and Q. Yang, “A Secure and Efficient Group Key Agreement Scheme for VANET”, Sensors, Vol. 19, No. 3, pp. 482-494, 2019.

  • M.T. Dange, D. Pawar, R. Potdar, S. Kaul and P. Pawar, “Evaluation of Road Condition using Android Sensors and Cloud Computing”, Evaluation, Vol. 6, No. 2, pp. 1120- 1124, 2019.


Abstract Views: 229

PDF Views: 133




  • RSA BASED SECRET KEY GENERATION AND AUTHORIZATION METHOD IN CLOUD BASED VANETS

Abstract Views: 229  |  PDF Views: 133

Authors

B Chithra
S N M V College of Arts and Science. India, India
B M Rajesh
Dr. N G P Arts and Science College, India

Abstract


Private transportation has become a daily need for most people nowadays. Because of the increased use of private transportation by modern society, road accidents have become a major issue. Vehicular communication is one of the methods to reduce the number of dangerous accidents. It is possible to communicate between two vehicles, Known as Vehicle to Vehicle Communication (V2V). Road Side Unit (RSU) is a communication with a specific fixed unit. If communication is established between the vehicle and nearby infrastructure (V2I), accidents can be avoided. Inter Vehicular communication is the term for this type of communication. It also lets vehicles share information such as post-accident investigation, safety information for accident prevention, traffic jams, and many more. Europe and North America are at the forefronts of research to conclude vehicular communication standards. It recognizes technical specification for enabling the communication between vehicles and the road infrastructure and between the various manufacturers. In the existing method, Cloud-based VANET helps to monitor the road condition. Through the connected Vehicular Ad-hoc Network (VANET) and cloud computing technologies, the entities in VANET were able to access the valuable storage and computing services made available by some cloud service provider. The benefits cannot be given away for free because their combination introduces various privacy and security requirements for VANET applications. The authority should monitor real-time road condition using a cloud server, so sound responses to emergencies can be made on time, according to the cloudbased Road Condition Monitoring (RCoM) scenario examined here. Vehicles on site should report information if any dangerous road condition is detected, such as geologic hazards or accidents. Three major issues are discussed in RCoM. An efficient RCoM method was suggested to address these three issues to analyze its efficiency theoretically and to demonstrate its practicality through experiments. They were generated using random numbers and help us in authorization process. So, the malicious vehicles easily identity it. To resolve the issues mentioned above, one Improved Road Condition monitoring system (IRCOM) was initiated. Using the random key generator, the first sub authority delegation is performed, and by using the RSA algorithm, the vehicle registration is attained by generating individual keys. The distribution of the token is based on the individual key and time stamp assigned to each vehicle. Cloud will categorize the received report using the key, token and time stamp. Finally, the route authority will decode the reports and, if necessary, will take the appropriate action.

References