Paper Info
Title
A fog-based security framework for intelligent traffic light control system
Abstract
The world is facing many problems including that of traffic congestion. To highlight the issue of traffic congestion worldwide specially in urban areas and to make it more efficient, research community is working on Intelligent Transportation Systems (ITS). However, there is very limited work in security aspects of ITS which makes it less secure against increasing security threats. Most of the existing frameworks provide security services for ITS with many unrealistic assumptions. In this paper, we propose a Fog-based Security Framework for Intelligent Traffic Light Control System that provides security services with realistic assumptions. Moreover, the proposed framework is compared with a similar framework called secure intelligent traffic light control based on security, performance, and applicability in real world scenario. The results show that the proposed framework is more secure as compared to the existing secure intelligent traffic light control framework and realistic for real world scenario. The proposed framework possesses confidentiality, integrity, and authenticity features. The security features of the proposed framework are verified through the Automated Validation of Internet Security Protocols and Applications tool.
Year
DOI
Venue
2019
10.1007/s11042-018-7008-z
Multimedia Tools and Applications
Keywords
Field
DocType
Fog, Traffic light control system, Edge computing, IoT
Edge computing,Computer vision,Internet security,Traffic signal,Confidentiality,Computer science,Computer security,Security framework,Artificial intelligence,Intelligent transportation system,Control system,Traffic congestion
Journal
Volume
Issue
ISSN
78
17
1573-7721
Citations 
PageRank 
References 
4
0.44
20
Authors
6
Name
Order
Citations
PageRank
Tauqeer Khalid140.44
Abdul Nasir Khan225714.85
Mazhar Ali3566.72
Adil Adeel440.44
Atta Ur Rehman Khan544923.80
Junaid Shuja623015.75