A Cloud-Based Trust Management Framework for Vehicular Social Networks

Chen, Xiao; Wang, Liangmin

doi:10.1109/access.2017.2670024

Cited by 62 publications

(36 citation statements)

References 21 publications

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“…They have also discussed some emerging technologies like Intelligent Transport System and its impact on VCC. In [11], they have demonstrated a high-level trust management model in cloud computing along with is deployment design and scheme. They have proposed a management mechanism that efficiently uses physical resources like computing, communication, etc.…”

Section: Related Workmentioning

confidence: 99%

Advanced Vehicle Management with Cyber-Physical System and Vehicular Cloud Computing

George¹,

Dhanalakshmi²,

Nivetha³

et al. 2019

IJITEE

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Vehicular cloud computing is a perpetual developing paradigm where the automobiles communicate with each other by retrieving the data, processing it, and sharing it among them even in remote locations through the cloud computing network. This is a developing research platform with innumerable applications both direct and indirect. In other words, it’s the way in which not indifferent automobile vehicles interact with one other. There are a lot of applications for vehicular cloud computing in the automobile industry in assisting with people’s day-to-day life it includes both direct and indirect applications. This platform has proved its way to aid in multiple fields with innovation and update. Cyber-physical vehicle systems are a fraction of vehicular cloud computing network with budding applications. These computer-based algorithms will eventfully aggregate with the automobiles and facilitate them to correlate and communicate with one other. The existing schemes include vehicular cloud computing in conjunction with Ad Hoc Networks where it has improved its efficiency and faced many technical challenges. There also was the implication of sensor technology where sensor incorporated automobiles interact with the network to assist automation. The proposed system involves controlling vehicles efficiently using VCC in cyber-physical systems. It is an advanced vehicle management system with individual connected and an automated vehicle that communicates with one another via cloud computing. The simulated results showed much higher efficiency, management accuracy, communication speed, and information sharing levels between the vehicles

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Section: Related Workmentioning

confidence: 99%

Advanced Vehicle Management with Cyber-Physical System and Vehicular Cloud Computing

George¹,

Dhanalakshmi²,

Nivetha³

et al. 2019

IJITEE

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“…We make use of the advantage of the already existing architectural model for VANET [ 2 ] i.e., trusted authority, Server, RSUs and vehicles equipped with OBUs (On-Board Unit) and other sensing devices as shown in Figure 2 . Due to high cost and commercial aspects of RSU here, we consider the limited number of RSUs.…”

Section: Problem Statementmentioning

confidence: 99%

“…Recently, Vehicular ad hoc networks (VANets) are emerged as challenging and advanced networks, having lots of sensors and onboard devices for V-2-V (vehicle to vehicle), V-2-I (vehicle to infrastructure) and V-2-P (vehicle to pedestrian) communication, in addition with high speed and random topologies. As VANET is one of the important parts in implementing intelligent transportation systems (ITS) in which trust management [ 1 , 2 , 3 ] can play a vital role to improve traffic efficiency, human safety and reduce energy consumption. At the same time, with the increasing popularity of sensing technologies and hand held devices, a new sensing paradigm, mobile crowd sensing, attracts attention from both academia and industry [ 4 ].…”

Section: Introductionmentioning

confidence: 99%

3VSR: Three Valued Secure Routing for Vehicular Ad Hoc Networks using Sensing Logic in Adversarial Environment

Sohail

Wang

2018

Sensors

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Today IoT integrate thousands of inter networks and sensing devices e.g., vehicular networks, which are considered to be challenging due to its high speed and network dynamics. The goal of future vehicular networks is to improve road safety, promote commercial or infotainment products and to reduce the traffic accidents. All these applications are based on the information exchange among nodes, so not only reliable data delivery but also the authenticity and credibility of the data itself are prerequisite. To cope with the aforementioned problem, trust management come up as promising candidate to conduct node’s transaction and interaction management, which requires distributed mobile nodes cooperation for achieving design goals. In this paper, we propose a trust-based routing protocol i.e., 3VSR (Three Valued Secure Routing), which extends the widely used AODV (Ad hoc On-demand Distance Vector) routing protocol and employs the idea of Sensing Logic-based trust model to enhance the security solution of VANET (Vehicular Ad-Hoc Network). The existing routing protocol are mostly based on key or signature-based schemes, which off course increases computation overhead. In our proposed 3VSR, trust among entities is updated frequently by means of opinion derived from sensing logic due to vehicles random topologies. In 3VSR the theoretical capabilities are based on Dirichlet distribution by considering prior and posterior uncertainty of the said event. Also by using trust recommendation message exchange, nodes are able to reduce computation and routing overhead. The simulated results shows that the proposed scheme is secure and practical.

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“…Os autores de [Chen and Wang, 2017] propõem uma solução de confiança baseada em nuvem, que exige um gerenciamento de confiança via internet. A vantagem disso é simplificar diversas dificuldades de redes veiculares, como redes esparsas e altamente dinâmicas.…”

Section: Revisão Bibliográficaunclassified

“…The authors of [Chen and Wang, 2017] propose a cloud-based solution for a trust model, which requires an Internet-based global trust manager. This has the advantage of simplifying properties such as handling sparsity and scalability, but also makes the system slower in general, especially in situations in which mobile communication is slow or unreliable.…”

Section: Existing Trust Models For Vanetsmentioning

confidence: 99%

TruMan: Trust Management for Vehicular Networks

Greca

Albini

2018

2018 IEEE Symposium on Computers and Communications (ISCC)

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I would like to express my deep gratitude toward my advisor, Professor Luiz Albini, for all the guidance he offered throughout the research that led to this dissertation. His frequent ideas and suggestions were what inspired me to pursue knowledge and be encouraged to find solutions to problems that are far from simple. Furthermore, I would like to thank Professor Eduardo Todt, who has helped me in ways beyond this dissertation, and my fellow students, Eric, Nelson and Ivan, who always brought interesting conversations. I would also like to thank my friends, in particular Taiane, Cainã, Douglas, Lucas and Giancarlo for bringing joy to my life for many years. Perhaps most importantly, I would like to thank my parents, Edison and Lizmari, who supported me throughout the whole process and always reminded me that I was on a path worth pursuing, as well as my grandmother Glacial and everyone in my family. Palavras-chave: redes veiculares, gerenciamento de confiança, identificação de nós maliciosos.

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A Cloud-Based Trust Management Framework for Vehicular Social Networks

Cited by 62 publications

References 21 publications

Advanced Vehicle Management with Cyber-Physical System and Vehicular Cloud Computing

Advanced Vehicle Management with Cyber-Physical System and Vehicular Cloud Computing

3VSR: Three Valued Secure Routing for Vehicular Ad Hoc Networks using Sensing Logic in Adversarial Environment

TruMan: Trust Management for Vehicular Networks

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