Mobile Information Systems

Security and Privacy Challenges in Vehicular Cloud Computing


Publishing date
11 Nov 2016
Status
Published
Submission deadline
24 Jun 2016

Lead Editor

1Nanyang Technological University, Singapore

2City University London, London, UK

3Xidian University, Xi'an, China

4Beijing Institute of Technology, Beijing, China

5University of Waterloo, Waterloo, Canada


Security and Privacy Challenges in Vehicular Cloud Computing

Description

Impaired driving, traffic congestion, and treacherous driving conditions have caused numerous accidents every year all over the world, leading to great suffering of people in different ways such as great anguish, fatal injuries, and horrendous loss of human lives. Due to these severe situations, VANETs (vehicular ad hoc networks) have recently received considerable attention from both industry and academia to not only improve road safety but also enhance traffic management. Not only that, as a special implementation of MANETs (mobile ad hoc networks), VANET includes both V2V (Vehicle-to-Vehicle) and V2I (Vehicle-to-Infrastructure) communications, which makes many new promising applications possible on the road. Among these applications, VCC (Vehicular Cloud Computing) is one of the most promising paradigms. VCC, which consists of a group of vehicles instantly cooperating the resources of computing, sensing, communication for decision making on the road, has made a remarkable impact on traffic management and road safety. However, the VCC paradigm is different to the traditional cloud infrastructure and requires a sophisticated approach in terms of security and privacy since the legitimate users and adversaries share the same privileges. The adversaries can exploit the equal access rights and system’s loopholes to endanger the life of passengers or monetize the private data by tampering the onboard infrastructure.

Hence, the main motivation for this special issue is to bring together researchers specialised in security, privacy, cloud computing, and ad hoc networks and service providers, application developers, car manufacturing community, and internet providers to explore the latest understanding and advances in the security and privacy of VCC. The aim of this special issue is to provide the insight into the discussion of the major research challenges and achievements in secure vehicular cloud computing.

Potential topics include, but are not limited to:

  • Authentication in high-mobility nodes in VCC
  • Secure network middleware and protocol design for VCC
  • Security trust model and threat models for VCC
  • Anonymity techniques in VCC
  • Location privacy and validation in VCC
  • Commercial and industrial security services in VCC
  • Anomaly detection and compromised node revocation in VCC

Articles

  • Special Issue
  • - Volume 2016
  • - Article ID 6812816
  • - Editorial

Security and Privacy Challenges in Vehicular Cloud Computing

Rongxing Lu | Yogachandran Rahulamathavan | ... | Miao Wang
  • Special Issue
  • - Volume 2016
  • - Article ID 7628231
  • - Research Article

LSOT: A Lightweight Self-Organized Trust Model in VANETs

Zhiquan Liu | Jianfeng Ma | ... | Yinbin Miao
  • Special Issue
  • - Volume 2016
  • - Article ID 5850670
  • - Research Article

On Preventing Location Attacks for Urban Vehicular Networks

Meng Zhou | Xin Li | Lejian Liao
  • Special Issue
  • - Volume 2016
  • - Article ID 2747808
  • - Research Article

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

Tianpeng Ye | Zhou Su | ... | Gaolei Li
  • Special Issue
  • - Volume 2016
  • - Article ID 1493290
  • - Research Article

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

Zhitao Guan | Jing Li | ... | Liehuang Zhu
  • Special Issue
  • - Volume 2016
  • - Article ID 6182769
  • - Research Article

A Privacy-Preserving Location-Based System for Continuous Spatial Queries

Doohee Song | Kwangjin Park
  • Special Issue
  • - Volume 2016
  • - Article ID 9083608
  • - Research Article

A Trust-Based Model for Security Cooperating in Vehicular Cloud Computing

Zhipeng Tang | Anfeng Liu | ... | Jie Li
Mobile Information Systems
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Acceptance rate5%
Submission to final decision187 days
Acceptance to publication137 days
CiteScore1.400
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