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 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.

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 Conditional Ciphertext-Policy Attribute-Based Encryption Scheme in Vehicular Cloud Computing

2016 ◽  
Vol 2016 ◽  
pp. 1-10 ◽  
Author(s):  
Zhitao Guan ◽  
Jing Li ◽  
Zijian Zhang ◽  
Liehuang Zhu
Keyword(s):  
Cloud Computing ◽  
Traffic Management ◽  
Lower Amount ◽  
Vehicular Cloud Computing ◽  
Vehicular Cloud ◽  
Related Data ◽  
Storage Overhead ◽  
Attribute Based Encryption ◽  
Data Owner ◽  
Ciphertext Policy

VCC (Vehicular Cloud Computing) is an emerging and promising paradigm, due to its significance in traffic management and road safety. However, it is difficult to maintain both data security and system efficiency in Vehicular Cloud, because the traffic and vehicular related data is large and complicated. In this paper, we propose a conditional ciphertext-policy attribute-based encryption (C-CP-ABE) scheme to solve this problem. Comparing with CP-ABE, this scheme enables data owner to add extra access trees and the corresponding conditions. Experimental analysis shows that our system brings a trivial amount of storage overhead and a lower amount of computation compared with CP-ABE.

scholarly journals Characterizing the role of vehicular cloud computing in road traffic management

2017 ◽  
Vol 13 (5) ◽  
pp. 155014771770872 ◽  
Author(s):  
Iftikhar Ahmad ◽  
Rafidah Md Noor ◽  
Ihsan Ali ◽  
Muhammad Imran ◽  
Athanasios Vasilakos
Keyword(s):  
Cloud Computing ◽  
Traffic Management ◽  
Road Traffic ◽  
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
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