Analysis of security and privacy issues over vehicular communication in Internet Of Vehicles

Cities are getting smarter and further connected. The key member for the swift progression with the use of IoT apparatuses is the Internet of Vehicle (IoV). It is the evolution of the conventional VANET that denotes about the group of various entities, which include automobiles, pedestrians, roads, parking spaces and urban infrastructure. This lets the automobiles to share data efficiently. The electronics used are infotainment systems, sensors, brakes, and GPS. There is a strong necessity for enhanced data sharing and connectivity amongst automobiles. For instance, cars nowadays are becoming smart entities, which make it a vital part of smart towns. The IoV turns the car as sensor platforms that take up data from the surroundings, many more vehicles and from the passenger in the driving seat for more secure navigation, road traffic administering, and pollution control. The mishaps are increasing within the towns because of the mismanagement in traffic, defective roadways, speeding drivers, disobeying the traffic rules, mishandling of automobiles, etc. IoV may be used in preventing traffic avoidance and collision of vehicles by alarm notification. Secure communication needs safer surroundings for confidential, dependable and trustworthy data sharing between network entities but IoV is susceptible to a lot of harming threats that share false/hacked data amongst network nodes. The proposed work presents trust amongst the vehicular nodes for information dissemination. Experience and Role centered, trust administering strategies are introduced to offer a trustworthy surrounding for information sharing. The proposed model reduces end-to-end delay and false positive rates.