IRO Journal on Sustainable Wireless Systems
IRO Journals
Volume 3 — Issue 1 — March 2021

Smart Parking with Fair Selection and Imposing Higher Privacy Constraints in Parking Owner and Driver Information

https://doi.org/10.36548/jsws.2021.1.002
B. Vivekanadam
Senior Lecturer, Faculty of Computer Science and Multimedia, Lincoln University College, Malaysia
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How to Cite

Vivekanadam, B. 2021. “Smart Parking With Fair Selection and Imposing Higher Privacy Constraints in Parking Owner and Driver Information”. IRO Journal on Sustainable Wireless Systems 3 (1): 11-20. https://doi.org/10.36548/jsws.2021.1.002.
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Keywords

— Privacy protection
— smart parking
— block chain
— vehicular network
— reliability
Published: 08-03-2021

Abstract

The use of private cars has enhanced the comfort of travel of individuals, but has proven to be a challenge for parking in congested downtown areas and metropolitans. This hike in the vehicle count has led to difficulty among the drivers to find a parking spot, exploiting resources and time. On the other hand, there are many idle private parking spots that remain inaccessible because of multiple reasons like unavailable owners, different open timings and so on. In order to prevent parking issues as well as to enable the use of private parking spots, smart parking applications that are easy to use by the drivers will prove to be highly effective. However, most parking lot owners and drivers face the threat of privacy which affects their willingness to participate while many others are located in a centralized location where the presence of malicious users is in plenty. In this proposed work, we have introduced a smart-parking system that is based on blockchain exhibiting qualities of privacy protection, reliability and fairness. To protect the privacy of users, vector-based encryption, bloom filters and group signatures are also insisted. This has helped us establish a more reliable smart parking system coupled with fair operation for smart contact. Experimental analysis of the real-world dataset indicates that the proposed work operates with high efficiency, establishing privacy protection, reliability and fairness.

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