A fog-based security framework for intelligent traffic light control system

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.