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

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 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.

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

Reply to comment on ‘SFVCC: Chaotic map-based security framework for vehicular cloud computing’

2020 ◽  
Vol 14 (12) ◽  
pp. 1724-1724
Author(s):  
Dheerendra Mishra ◽  
Vinod Kumar ◽  
Dharminder Dhaminder ◽  
Saurabh Rana
Keyword(s):  
Cloud Computing ◽  
Chaotic Map ◽  
Security Framework ◽  
Vehicular Cloud Computing ◽  
Vehicular Cloud

scholarly journals An energy-efficient failure detector for vehicular cloud computing

PLoS ONE ◽  
2018 ◽  
Vol 13 (1) ◽  
pp. e0191577 ◽  
Author(s):  
Jiaxi Liu ◽  
Zhibo Wu ◽  
Jian Dong ◽  
Jin Wu ◽  
Dongxin Wen
Keyword(s):  
Cloud Computing ◽  
Energy Efficient ◽  
Failure Detector ◽  
Vehicular Cloud Computing ◽  
Vehicular Cloud

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.

Vehicular Cloud Computing Security: A Survey

2019 ◽  
Vol 45 (4) ◽  
pp. 2473-2499
Author(s):  
Hadjer Goumidi ◽  
Zibouda Aliouat ◽  
Saad Harous
Keyword(s):  
Cloud Computing ◽  
Cloud Computing Security ◽  
Vehicular Cloud Computing ◽  
Vehicular Cloud
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