Detailed Information

Cited 15 time in webofscience Cited 16 time in scopus
Metadata Downloads

VCC-SSF: Service-Oriented Security Framework for Vehicular Cloud Computingopen access

Authors
Kang, Won MinLee, Jae DongJeong, Young-SikPark, Jong Hyuk
Issue Date
Feb-2015
Publisher
MDPI
Keywords
Accident management service; Payment service; Vehicular cloud computing
Citation
SUSTAINABILITY, v.7, no.2, pp 2028 - 2044
Pages
17
Indexed
SCIE
SSCI
SCOPUS
Journal Title
SUSTAINABILITY
Volume
7
Number
2
Start Page
2028
End Page
2044
URI
https://scholarworks.dongguk.edu/handle/sw.dongguk/17438
DOI
10.3390/su7022028
ISSN
2071-1050
2071-1050
Abstract
Recently, as vehicle computing technology has advanced, the paradigm of the vehicle has changed from a simple means of transportation to a smart vehicle for safety and convenience. In addition, the previous functions of the Intelligent Transportation System (ITS) such as traffic accident prevention and providing traffic volume information have been combined with cloud computing. ITS services provide user-oriented broad services in the Vehicular Cloud Computing (VCC) environment through efficient traffic management, traffic accident prevention, and convenience services. However, existing vehicle services focus on providing services using sensing information inside the vehicle and the system to provide the service through an interface with the external infrastructure is insufficient. In addition, because wireless networks are used in VCC environments, there is a risk of important information leakage from sensors inside the vehicle, such as driver personal identification and payment information at the time of goods purchase. We propose the VCC Service-oriented Security Framework (VCC-SSF) to address the limitations and security threats of VCC-based services. The proposed framework considers security for convenient and efficient services of VCC and includes new user-oriented payment management and active accident management services. Furthermore, it provides authentication, encryption, access control, confidentiality, integrity, and privacy protection for user personal information and information inside the vehicle.
Files in This Item
There are no files associated with this item.
Appears in
Collections
College of Advanced Convergence Engineering > Department of Computer Science and Artificial Intelligence > 1. Journal Articles

qrcode

Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.

Related Researcher

Researcher Jeong, Young Sik photo

Jeong, Young Sik
College of Advanced Convergence Engineering (Department of Computer Science and Artificial Intelligence)
Read more

Altmetrics

Total Views & Downloads

BROWSE