scholarly journals Lightweight Secure Authentication and Key Distribution Scheme for Vehicular Cloud Computing

Symmetry ◽  
2021 ◽  
Vol 13 (3) ◽  
pp. 484
Author(s):  
Hadjer Goumidi ◽  
Saad Harous ◽  
Zibouda Aliouat ◽  
Abdelhak Mourad Gueroui
Keyword(s):  
Cloud Computing ◽  
Ad Hoc ◽  
Intelligent Transportation System ◽  
Key Distribution ◽  
Security And Privacy ◽  
Basic Block ◽  
Vehicular Cloud Computing ◽  
Vehicular Cloud ◽  
Distribution Scheme ◽  
Secure Authentication

A vehicular ad-hoc network (VANET) is the basic block in building an intelligent transportation system that improves the traffic flow and makes needed information conveniently accessible. VANET depends on a dense exchange of sensed data between vehicles and Road Side Units (RSUs). A large amount of sensed data requires a huge computation and storage capabilities, which is provided by the vehicular cloud computing (VCC). However, the security problems of data confidentiality, access control, vehicles’ authentication, and conductors’ privacy in VCC are issues that need to be solved. In this paper, we propose an efficient algorithm to ensure VCC security and privacy. We use Pseudo-ID instead of vehicles’ real ID to provide conductors’ privacy, Identifier-Based Signature mechanism is used to guarantee vehicles’ authentication, and Ciphertext-Policy Attribute-Based Encryption (CP-ABE) algorithm is used for key distribution. Our liGhtweight secURe AutheNticaTion and keY distribution scheme for vehicular cloud computing (GUARANTY) ensures a secure keys distribution to minimize the encryption and decryption computation cost. Vehicles use a symmetrical cryptography in their communication. We analyze the security of our algorithm using AVISPA tool. We use this tool to simulate insiders and outsiders attacks. We evaluate our algorithm’s performance in terms of computation delay and reception rate.

A Secured Dynamic Privacy Preserving Scheme for Vehicular Cloud Computing

2018 ◽  
pp. 98-124
Author(s):  
Y. Bevish Jinila ◽  
K. Komathy
Keyword(s):  
Cloud Computing ◽  
Traffic Management ◽  
Intelligent Transportation System ◽  
Intelligent Transportation ◽  
Privacy Preserving ◽  
Security And Privacy ◽  
Signature Verification ◽  
Vehicular Cloud Computing ◽  
Vehicular Cloud ◽  
Cloud Server

There are rapid technological advancements in the field of transportation. Vehicles cooperate among themselves and establish an intelligent transportation system to fulfill the needs on traffic management. To make this possible, the vehicles are equipped with on board unit which shares information regarding the condition of roads, traffic, and management. Such information is stored in cloud server to be accessed by the vehicles at any time. During the message communication, the origin of the message is checked for its authenticity by the receiver. During signature verification, to preserve the privacy of the user, it is required that the ID of the vehicle should not be revealed. Security and privacy of the information stored in the cloud is a challenging task. The privacy of the vehicle user and the information should be secured from the threats. The solutions in the existing literature do not fulfill the requirements of security and privacy. In this chapter, a secured and dynamic privacy preserving scheme is proposed for vehicular cloud computing. Analysis on the proposed privacy scheme is done based on anonymity and un-linkability. The analysis shows that the proposed dynamic scheme provides better privacy compared to static schemes.

Vehicular Cloud Computing

2014 ◽  
pp. 262-274 ◽  
Author(s):  
Kayhan Zrar Ghafoor ◽  
Marwan Aziz Mohammed ◽  
Kamalrulnizam Abu Bakar ◽  
Ali Safa Sadiq ◽  
Jaime Lloret
Keyword(s):  
Cloud Computing ◽  
Vehicular Networks ◽  
Vehicular Ad Hoc Networks ◽  
Ad Hoc ◽  
Vehicular Cloud Computing ◽  
Vehicular Cloud ◽  
Performance Improvements ◽  
Potential Applications ◽  
Research Outcome ◽  
Hoc Networks

Recently, Vehicular Ad Hoc Networks (VANET) have attracted the attention of research communities, leading car manufacturers, and governments due to their potential applications and specific characteristics. Their research outcome was started with awareness between vehicles for collision avoidance and Internet access and then expanded to vehicular multimedia communications. Moreover, vehicles’ high computation, communication, and storage resources set a ground for vehicular networks to deploy these applications in the near future. Nevertheless, on-board resources in vehicles are mostly underutilized. Vehicular Cloud Computing (VCC) is developed to utilize the VANET resources efficiently and provide subscribers safe infotainment services. In this chapter, the authors perform a survey of state-of-the-art vehicular cloud computing as well as the existing techniques that utilize cloud computing for performance improvements in VANET. The authors then classify the VCC based on the applications, service types, and vehicular cloud organization. They present the detail for each VCC application and formation. Lastly, the authors discuss the open issues and research directions related to VANET cloud computing.

scholarly journals A Safety Resource Allocation Mechanism against Connection Fault for Vehicular Cloud Computing

2016 ◽  
Vol 2016 ◽  
pp. 1-13 ◽  
Author(s):  
Tianpeng Ye ◽  
Zhou Su ◽  
Jun Wu ◽  
Longhua Guo ◽  
Jianhua Li ◽  
...  
Keyword(s):  
Resource Allocation ◽  
Cloud Computing ◽  
Real Time ◽  
Traffic Control ◽  
Intelligent Transportation System ◽  
Probability Model ◽  
Allocation Mechanism ◽  
Vehicular Cloud Computing ◽  
Vehicular Cloud ◽  
Resource Allocation Mechanism

The Intelligent Transportation System (ITS) becomes an important component of the smart city toward safer roads, better traffic control, and on-demand service by utilizing and processing the information collected from sensors of vehicles and road side infrastructure. In ITS, Vehicular Cloud Computing (VCC) is a novel technology balancing the requirement of complex services and the limited capability of on-board computers. However, the behaviors of the vehicles in VCC are dynamic, random, and complex. Thus, one of the key safety issues is the frequent disconnections between the vehicle and the Vehicular Cloud (VC) when this vehicle is computing for a service. More important, the connection fault will disturb seriously the normal services of VCC and impact the safety works of the transportation. In this paper, a safety resource allocation mechanism is proposed against connection fault in VCC by using a modified workflow with prediction capability. We firstly propose the probability model for the vehicle movement which satisfies the high dynamics and real-time requirements of VCC. And then we propose a Prediction-based Reliability Maximization Algorithm (PRMA) to realize the safety resource allocation for VCC. The evaluation shows that our mechanism can improve the reliability and guarantee the real-time performance of the VCC.

scholarly journals Security and Privacy Challenges in Vehicular Cloud Computing

2016 ◽  
Vol 2016 ◽  
pp. 1-2 ◽  
Author(s):  
Rongxing Lu ◽  
Yogachandran Rahulamathavan ◽  
Hui Zhu ◽  
Chang Xu ◽  
Miao Wang
Keyword(s):  
Cloud Computing ◽  
Security And Privacy ◽  
Vehicular Cloud Computing ◽  
Vehicular Cloud

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

2019 ◽  
Vol 8 (10) ◽  
pp. 1005-1009
Keyword(s):  
Cloud Computing ◽  
Automobile Industry ◽  
Ad Hoc ◽  
Sensor Technology ◽  
Vehicular Cloud Computing ◽  
Vehicular Cloud ◽  
Vehicle Systems ◽  
Computer Based ◽  
Hoc Networks ◽  
Vehicle Management

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

Vehicular Cloud Computing

2015 ◽  
pp. 1049-1061 ◽  
Author(s):  
Kayhan Zrar Ghafoor ◽  
Marwan Aziz Mohammed ◽  
Kamalrulnizam Abu Bakar ◽  
Ali Safa Sadiq ◽  
Jaime Lloret
Keyword(s):  
Cloud Computing ◽  
Vehicular Networks ◽  
Vehicular Ad Hoc Networks ◽  
Ad Hoc ◽  
Vehicular Cloud Computing ◽  
Vehicular Cloud ◽  
Performance Improvements ◽  
Potential Applications ◽  
Research Outcome ◽  
Hoc Networks

Recently, Vehicular Ad Hoc Networks (VANET) have attracted the attention of research communities, leading car manufacturers, and governments due to their potential applications and specific characteristics. Their research outcome was started with awareness between vehicles for collision avoidance and Internet access and then expanded to vehicular multimedia communications. Moreover, vehicles' high computation, communication, and storage resources set a ground for vehicular networks to deploy these applications in the near future. Nevertheless, on-board resources in vehicles are mostly underutilized. Vehicular Cloud Computing (VCC) is developed to utilize the VANET resources efficiently and provide subscribers safe infotainment services. In this chapter, the authors perform a survey of state-of-the-art vehicular cloud computing as well as the existing techniques that utilize cloud computing for performance improvements in VANET. The authors then classify the VCC based on the applications, service types, and vehicular cloud organization. They present the detail for each VCC application and formation. Lastly, the authors discuss the open issues and research directions related to VANET cloud computing.

Security and Privacy Challenges in Connected Vehicular Cloud Computing

2020 ◽  
Vol 22 (4) ◽  
pp. 2725-2764
Author(s):  
Arooj Masood ◽  
Demeke Shumeye Lakew ◽  
Sungrae Cho
Keyword(s):  
Cloud Computing ◽  
Security And Privacy ◽  
Vehicular Cloud Computing ◽  
Vehicular Cloud

scholarly journals Security and Privacy of Connected Vehicular Cloud Computing

IEEE Network ◽  
2018 ◽  
Vol 32 (3) ◽  
pp. 4-6 ◽  
Author(s):  
Hongwei Li ◽  
Rongxing Lu ◽  
Jelena Misic ◽  
Mohamed Mahmoud
Keyword(s):  
Cloud Computing ◽  
Security And Privacy ◽  
Vehicular Cloud Computing ◽  
Vehicular Cloud

Resource Management in Vehicular Cloud Computing

2021 ◽  
pp. 2448-2470
Author(s):  
Sawsan Elfatih Ibrahim ◽  
Rashid A. Abd Elhaleem Saeed ◽  
Amitava Mukherjee
Keyword(s):  
Cloud Computing ◽  
Resource Management ◽  
Distributed Computing ◽  
Vehicular Ad Hoc Networks ◽  
Ad Hoc ◽  
Data Transfer ◽  
Point Of View ◽  
Vehicular Cloud Computing ◽  
Vehicular Cloud ◽  
Hoc Networks

Vehicular ad hoc networks are relied upon to essentially enhance movement security and transportation productivity. Accessible correspondence, stockpiling, and calculation assets of the associated vehicles are not well used to meet the administration necessities of canny transportation frameworks. Vehicular cloud computing (VCC) is a promising methodology that makes utilization of the preferences of distributed computing and applies them to vehicular systems. Vehicles have turned out to be prepared with different sensors and assets, making them competent to convey, to share assets, and to carry on helpfully. VC can be depicted from the point of view of uses and administrations offered by vehicles that have a place with a vehicular ad hoc network (VANET) due to the impediment of calculation, stockpiling, and data transfer capacity assets for complex in-vehicle sight and sound amusement applications.

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