Securing real-time traffic analytics with a privacy-preserving edge and cloud computing framework
The recent demand for real-time traffic management in urban environments has led to the adoption of edge and cloud computing, which improve the efficiency, scalability, and security of traffic analytics. Nevertheless, the privacy and confidentiality of traffic data remain important issues. In this study, a privacy-sens...
Kuldoshbay Avazov, Zhuldyz B. Kalpeyeva, Raissa Uskenbayeva et al.
· Scientific Reports · 0 citations