A Trust Based Secure and Privacy Aware Framework for Efficient Taxi and Car Sharing System

A Trust Based Secure and Privacy Aware Framework for Efficient Taxi and Car Sharing System

Oladayo Olakanmi (University of Ibadan, Ibadan, Nigeria) and Sekoni Oluwaseun (University of Ibadan, Ibadan, Nigeria)
DOI: 10.4018/IJVTIS.2018010103

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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1. Introduction

It is not a gainsaying that advent of autonomous vehicles would have notable impacts on the operation of car sharing and taxi services. Meanwhile, advent of autonomous vehicles does not imply that non-autonomous vehicles would suddenly be out of the transport system. It will take time before it fizzles out, therefore, a good car sharing or taxi system framework must be able to accommodate both vehicles. Apart from this kind of heterogeneity required in taxi system framework, sensitive information needs to be exchanged between passengers and drivers in case of non-autonomous or between passengers and vehicles in the case of autonomous vehicles. This brings security and privacy issues. Recent findings have shown that adversaries could intercept the requests of passengers in order to track the whereabouts of the vehicles as well as passengers (Liu, Au, Susilo, & Zhou, 2012) (Boukerche, Oliveira, Nakamura, & Loureiro, 2008) (Li, Dan, & Nahrstedt, 2015). Also, mischievous passenger or vehicle can collude with adversary to obtain the personal details of the other entities in the taxi system. In most of the taxi or car sharing systems, drivers do not know the destination of passengers before accepting their ride requests, thereby putting drivers at disadvantage position especially in a fixed price system. Example of taxi-service system with this kind of lapses is Uber; a popular taxi-service system which allows non-autonomous car sharing, it does not allow driver to know the destination before accepting the ride sharing request from passenger. Also, Uber’s rating model is susceptible to bad mouthing attacks. Apart from this, almost all the existing taxi-service systems are non-autonomous vehicles based, that is, they do not accommodate AVs.

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