A Trust Based Secure and Privacy Aware Framework for Efficient Taxi and Car Sharing System
Abstract
This article describes how taxi service is an essential means of mobility in many cities. Recent findings show that average automobile owners utilize their vehicles for only 5% of its time in a day. Therefore, the advent of autonomous vehicles and car sharing will make it possible for owners to engage their vehicles as taxis when not in use by utilizing its 95% free time for income generation. Sensitive private information is required to be released during a taxi service delivery, which may bring certain security and privacy issues and challenges. This may hinder the prospect of using autonomous vehicles as a form of taxi. As a result of these, the authors propose a secure and privacy-preserving taxi service framework for car sharing, which ensures protection of car owner and passengers personal details, e.g. identity, location, destination, etc. The authors developed a decay-based trust model for a framework in order to monitor and improve the quality of service rendered to passengers by vehicles. The decay-based trust model was simulated on the framework. The simulation of the decay-based trust model shows that it is a perfect model for rewarding vehicles which render good quality of service and blacklisting vehicles with frequent poor service delivery.
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Telematics offers the potential to protect reputation systems from manipulation and to stabilize user trust in evaluations and transactions.
“This possibility offers the potential to protect reputation systems from manipulation and to stabilize user trust in evaluations and transactions (Olakanmi and Oluwaseun, 2018; Ribeiro et al., 2016; Wiegand et al., 2019; Stevens and Bossauer, 2020).”
From Trust-Building in Peer-to-Peer Carsharing: Design Case Study for Algorithm-Based Reputation Systems (2024) · cites this paper as Olakanmi and Oluwaseun, 2018
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Trust versus Privacy: Using Connected Car Data in Peer-to-Peer Carsharing
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Self-citationTrust-Building in Peer-to-Peer Carsharing: Design Case Study for Algorithm-Based Reputation Systems
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“The rating represents the potential risk of a rentee using the vehicle and can therefore increase trust towards rentees with a better score (Ter Huurne et al., 2017; Ert et al., 2016; Olakanmi and Oluwaseun, 2018; Teigland et al., 2019).”
- Authors
- Olakanmi, O., & Oluwaseun, S.
- Affiliations
- University of Ibadan (NG)
- ORCID
- Olakanmi, Oladayo
- Venue
- International Journal of Vehicular Telematics and Infotainment Systems
- Publisher
- IGI Global Scientific Publishing
- Published
- 2018-01-01
- Volume
- 2
- Issue
- 1
- Pages
- 34-47
- ISSN
- 2473-5272 (ISSN-L)
- 2473-5280
- OpenAlex
- W2794479585
- Cited by
- 3
- References
- 30
- Citations by year
- 2023: 1 · 2021: 1 · 2020: 1
- FWCI
- 1.14
- Type
- journal article
- Language
- ng
- Open access
- closed
- Locations
- International Journal of Vehicular Telematics and Infotainment Systems (publishedVersion)
- Topics
- Social Sciences › Sociology and Political Science › Access Control and Trust
- Physical Sciences › Engineering › Electrical and Electronic Engineering › Vehicular Ad Hoc Networks (VANETs)
- Physical Sciences › Engineering › Automotive Engineering › Transportation and Mobility Innovations
- Keywords
- taxi services, car sharing, autonomous vehicles, trust model, trust decay, privacy preservation, quality of service, ride-sharing platforms
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