Abstract:
In wireless communications, VANETs are popular. Intelligent sensors in VANETs collect real-time data from inside and surrounding vehicles. Real-time data need powerful computation, processing, and storage.
VANETs cannot manage real-time data due to OBU storage limitations. Vehicular cloud computing (VCC) technology combines a VANET with cloud computing to overcome this limitation. VCC can manage real-time services like road-critical video surveillance data.
Real-time video surveillance data is highly sensitive and should be protected from network intruders because data manipulation, alteration, or sniffing can harm drivers by impairing decision-making. VCC struggles to protect real-time video surveillance data.
This project examined VCC real-time video data security and privacy. We introduce VANETs and their limitations. Second, VCC’s real-time video data taxonomy is cutting-edge. Next, real-time video surveillance data in 5G and 6G networks is discussed. Finally, VCC real-time video data challenges and issues are discussed.
Keywords: Real-Time Systems, Streaming Media, Video Surveillance, Roads, Cloud Computing, Safety, Vehicular Ad Hoc Networks, 5g Mobile Communication, 6g Mobile Communication, Cloud Computing, Data Privacy, Intelligent Sensors, Vehicular Ad Hoc Networks, Video Signal Processing, Video Surveillance
Note: Please discuss with our team before submitting this abstract to the college. This Abstract or Synopsis varies based on student project requirements.
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