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P3 Block: Privacy Preserved, Trusted Smart Parking Allotment for Future Vehicles of Tomorrow

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Computational Science and Its Applications – ICCSA 2020 (ICCSA 2020)

Abstract

As the urbanization is advancing day by day and demand of vehicles is being increased (or cheaper cost of vehicles), it made increased number of vehicles over the road, which faces several issues like traffic accidents, finding a parking spot, etc. Finding a car park slot has become one of the residents’ key pain points. The key reason behind this is the restricted provision of parking lots and the struggle to spot vacant parking space during peak times. To overcome this restriction, one solution is to create smart allocation of free spaces that are easier to locate and use (i.e., trusted and privacy preserved for user or driver). In this work, we provide privacy preserved parking allotment (as a smart solution) to users (or vehicle users) who are willing to pay more charges when they require parking slot near to their destination (or urgent need). In this work (called as P3 Block: Privacy Preserving parking using Blockchain 2.0), one useful and different approach we used as “Incentive based smart parking”. People will get cashback or reward for alerting or spreading genuine information among users. Also, miner will be rewarded for verifying users. Incentive feature will attract more users, also more trust and reputation of specific service provider matter a lot in providing efficient parking slot to vehicle user. Today world is moving towards automation, so automation will be available in all possible applications like manufacturing, finance, retail, food supply management, transportation, home appliances, etc.

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References

  1. Nakamoto, S., Bitcoin, A.: A peer-to-peer electronic cash system (2008)

    Google Scholar 

  2. Ni, J., Zhang, K., Yu, Y., Lin, X., Shen, X.S.: Privacy-preserving smart parking navigation supporting efficient driving guidance retrieval. IEEE Trans. Veh. Technol. 67(7), 6504–6517 (2018)

    Google Scholar 

  3. Zhu, L., Li, M., Zhang, Z., Qin, Z.: ASAP: an anonymous smart-parking and payment scheme in vehicular networks. IEEE Trans. Dependable Secure Comput. (2018, in press)

    Google Scholar 

  4. Giuffrè, T., Siniscalchi, S.M., Tesoriere, G.: A novel architecture of parking management for smartcities. Procedia Soc. Behav. Sci. 53, 16–28 (2012)

    Article  Google Scholar 

  5. Wesam, A.A., Mohamed, B., Karim, B., Mohamed, M.: Privacy-preserving smart parking system using blockchain and private information retrieval. https://arxiv.org/pdf/1904.09703.pdf

  6. Tyagi, A.K., Sreenath, N.: Vehicular Ad Hoc networks: new challenges in carpooling and parking services. CIC 2016, vol. 14. Special Issue Int. J. Comput. Sci. Inf. Secur. (IJCSIS). https://sites.google.com/site/ijcsis/. ISSN 1947-5500

  7. Grazioli, A., Picone, M., Zanichelli, F., Amoretti, M.: Collaborative mobile application and advanced services for smart parking. In: Mobile Data Management, June 2013

    Google Scholar 

  8. Kopecký, J., Domingue, J.: ParkJamJAM: crowdsourcing parking availability information with linked data. In: Simperl, E., Norton, B., Mladenic, D., Della Valle, E., Fundulaki, I., Passant, A., Troncy, R. (eds.) ESWC 2012. LNCS, vol. 7540, pp. 381–386. Springer, Heidelberg (2015). https://doi.org/10.1007/978-3-662-46641-4_31

    Chapter  Google Scholar 

  9. Al Noor, S., et al.: ParkBid: an incentive based crowdsourced bidding service for parking reservation. In: 2017 IEEE International Conference on Services Computing (SCC), pp. 60–67 (2017)

    Google Scholar 

  10. Tyagi, A., Niladhuri, S.: ISPAS: an intelligent, smart parking allotment system for travelling vehicles in Urban areas. Int. J. Secur. Appl. 11(12), 45–64 (2017). https://doi.org/10.14257/ijsia.2017.11.12.05

    Article  Google Scholar 

  11. Jennath, H.S., Adarsh, S., Chandran, N.V., Ananthan, R., Sabir, A., Asharaf, S.: Parkchain: a blockchain powered parking solution for smart cities. Front. Blockchain 2, 6 (2019). https://doi.org/10.3389/fbloc.2019.00006

    Article  Google Scholar 

  12. Ethereum, H.: Ethereum homestead documentation (2017). http://www.ethdocs.org/en/latest/

  13. Mayra, S., Deters, R.: Blockchain as a service for IoT, In: Proceedings of the IEEE International Conference on Internet of Things, Proceedings of the IEEE Green Computing and Communications, Proceedings of the IEEE Cyber, Physical and Social Computing, and Proceedings of the IEEE Smart Data, pp. 433–436 (2016)

    Google Scholar 

  14. Tyagi, A.K.: Building a smart and sustainable environment using internet of things, 22 February 2019. Proceedings of International Conference on Sustainable Computing in Science, Technology and Management (SUSCOM), Amity University Rajasthan, Jaipur, India, 26–28 February 2019

    Google Scholar 

  15. Amit, K.T., Nair, M.M., Sreenath, N., Abraham, A.: Security, privacy research issues in various computing platforms: a survey and the road ahead. J. Inf. Assur. Secur. (JIAS) (2020). ISSN 1554-1010

    Google Scholar 

  16. Reyna, A., Martín, C., Chen, J., Soler, E., Díaz, M.: On blockchain and its integration with IoT. Challenges and opportunities. Future Gener. Comput. Syst. 88, 173–190 (2018)

    Article  Google Scholar 

  17. Truffle, Truffle framework (2017). http://truffleframework.com/docs

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Correspondence to Amit Kumar Tyagi or Terrance Frederick Fernandez .

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Tyagi, A.K., Kumari, S., Fernandez, T.F., Aravindan, C. (2020). P3 Block: Privacy Preserved, Trusted Smart Parking Allotment for Future Vehicles of Tomorrow. In: Gervasi, O., et al. Computational Science and Its Applications – ICCSA 2020. ICCSA 2020. Lecture Notes in Computer Science(), vol 12254. Springer, Cham. https://doi.org/10.1007/978-3-030-58817-5_56

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  • DOI: https://doi.org/10.1007/978-3-030-58817-5_56

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-58816-8

  • Online ISBN: 978-3-030-58817-5

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