Secure and Privacy-Aware Incentives-Based Witness Service in Social Internet of Vehicles Clouds

Hussain, Rasheed; Kim, Donghyun; Son, Junggab; Lee, Jooyoung; Kerrache, Chaker Abdelaziz; Benslimane, Abderrahim; Oh, Heekuck

doi:10.1109/jiot.2018.2847249

Cited by 51 publications

(20 citation statements)

References 19 publications

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“…Two important issues have attracted attention in crowdsourcing: the use of incentives to attract a competent and honest workforce, and the related topic of universal privacy and security [47,52]. Several strategies for incentivizing participation in crowdsourcing have been reported in the literature [53][54][55].…”

Section: Crowdsourcing and Crowd Computingmentioning

confidence: 99%

A Survey of Enabling Technologies for Smart Communities

Iqbal

Olariu

2020

Smart Cities

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In 2016, the Japanese Government publicized an initiative and a call to action for the implementation of a “Super Smart Society” announced as Society 5.0. The stated goal of Society 5.0 is to meet the various needs of the members of society through the provisioning of goods and services to those who require them, when they are required and in the amount required, thus enabling the citizens to live an active and comfortable life. In spite of its genuine appeal, details of a feasible path to Society 5.0 are conspicuously missing. The first main goal of this survey is to suggest such an implementation path. Specifically, we define a Smart Community as a human-centric entity where technology is used to equip the citizenry with information and services that they can use to inform their decisions. The arbiter of this ecosystem of services is a Marketplace of Services that will reward services aligned with the wants and needs of the citizens, while discouraging the proliferation of those that are not. In the limit, the Smart Community we defined will morph into Society 5.0. At that point, the Marketplace of Services will become a platform for the co-creation of services by a close cooperation between the citizens and their government. The second objective and contribution of this survey paper is to review known technologies that, in our opinion, will play a significant role in the transition to Society 5.0. These technologies will be surveyed in chronological order, as newer technologies often extend old technologies while avoiding their limitations.

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Section: Crowdsourcing and Crowd Computingmentioning

confidence: 99%

A Survey of Enabling Technologies for Smart Communities

Iqbal

Olariu

2020

Smart Cities

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“…Therefore, the solution presented by authors is based on retrieving the ciphertext with higher efficiency. The problem associated with the privacy problem is also addressed in the work of Hussain et al [52]. An interesting solution has been presented by the author where images are captured from the site of interest by the image capturing devices of the vehicles and the information is forwarded to the cloud.…”

Section: Integration Cloud With Vehicular Networkmentioning

confidence: 99%

Advancement in infotainment system in automotive sector with vehicular cloud network and current state of art

Reshma¹,

Chetanaprakash²

2020

IJECE

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The automotive industry has been incorporating various technological advancement on top-end versions of the vehicle order to improvise the degree of comfortability as well as enhancing the safer driving system. Infotainment system is one such pivotal system which not only makes the vehicle smart but also offers abundance of information as well as entertainment to the driver and passenger. The capability to offer extensive relay of service through infotainment system is highly dependent on vehicular adhoc network as well as back end support of cloud environment. However, it is know that such legacy system of vehicular adhoc network is also characterized by various problems associated with channel capacity, latency, heterogeneous network processing, and many more. Therefore, this paper offers a comprehensive insight to the research work being carried out towards leveraging the infotainment system in order to obtain the true picture of strength, limitation, and open end problems associated with infotainment system.

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“…In current systems, such as those proposed in [30], trust is maintained centrally and is vulnerable to attack. Hussain et al [31] provide a solution to maintain privacy in witness services in a vehicle infrastructure. Their system implements the ElGamal encryption algorithm with elliptic curve cryptography to protect data and uses pseudonyms mechanism for the identity exchange in order to maintain anonymity.…”

Section: State Of the Artmentioning

confidence: 99%

TrustVote: Privacy-Preserving Node Ranking in Vehicular Networks

Azad

Bag

Parkinson

et al. 2019

IEEE Internet Things J.

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The Internet of Vehicles (IoV) is the network of connected vehicles and transport infrastructure units (Roadside Units (RSU)), which utilizes emerging wireless systems (4G, 5G, LTE) for the communication and sharing of information. The network of connected vehicles enables users to disseminate critical information about events happening on the road (for example accidents, traffic congestions, and hazards). The exchange of information between vehicles and roadside units could improve the driving experience and road safety, as well as help drivers to identify the hazardous and safe routes in a timely manner. The sharing of critical information between vehicles is advantageous to the driver; however, at the same time, malicious actors could mislead drivers by spreading fraudulent and fake messages. Fraudulent messages can have a negative impact on the infrastructure, and more significantly, have potential to cause threats to life. It is therefore essential that vehicles can evaluate the credibility of those who send messages (vehicles or roadside units) before taking any action. In this paper, we present TrustVote, a collaborative crowdsourcing-based vehicle reputation system that enables vehicles to evaluate the credibility of other vehicles in a connected vehicular network. The TrustVote system allows participating vehicles to hide their rating/feedback scores and the list of interacted vehicles under a homomorphic cryptographic layer, which can only be unfolded as an aggregate. The proposed approach also considers the trust weight of a vehicle providing the rating scores while computing the aggregate reputation of the vehicles. A prototype of TrustVote is developed and its performance is evaluated in terms of the computational and communication overheads.

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Secure and Privacy-Aware Incentives-Based Witness Service in Social Internet of Vehicles Clouds

Cited by 51 publications

References 19 publications

A Survey of Enabling Technologies for Smart Communities

A Survey of Enabling Technologies for Smart Communities

Advancement in infotainment system in automotive sector with vehicular cloud network and current state of art

TrustVote: Privacy-Preserving Node Ranking in Vehicular Networks

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