## 1 Introduction  
The Vehicular Communication System (VCS) increased with time, especially when Tesla self-driving cars entered the VANET market. The computational power and communication between these vehicles increase with time, and malicious attacks are also increased to harm the data generated through these devices [1]. According to the research, almost one-third of the people in the developed world have a vehicle license to drive cars. The vehicles in VANET use wireless technology, such as 5G, that enables attackers to attack the network using its open nature. As a prevention to this attack, misbehavior detection systems are developed to attack and prevent these behaviors. The prevention only captures the incoming data packets and provides an easy way to enable these attackers to catch and enlist them for distribution. Many attacks on the VANET environment can hack the network [2]. In this chapter, we introduce our research with some used infrastructure and the ability to communicate and handle the communication infrastructure--we discussed the motivation, problem statement, research questions, and research outline. The VANET term is implemented from the autonomous network transformation to implement the nature of the wireless network. It holds the new generation of technologies that embrace the nature of network deployment and provides the ability to enhance knowledge and experience of network boundaries. The idea of the VANET is that it connects in the same way as the computing connectivity of mobile devices. These devices are connected to deploy the proper network architecture. Intelligent Transportation System (IST) is one of the key deployment areas that makes the network architecture more secure and provides reliable features and delivery services for the network's needs. In VANET, we contain three types of communications, i.e., vehicle-to-vehicle (V2V), vehicle-to-infrastructure (V2I), and infrastructure-to-infrastructure (I2I) communication [3]. ITS uses the ICT concepts with data transmission flow with abilities to enhance the knowledge and the work experience of these professional skills, and the demand for nature perspectives. The ITS technology is efficient, smarter, and suitable for remote communication in VANET [4]. The Roadside Units (RSUs) and Base Stations (BS) are the common ways to provide effective delivery services of the common protocols and enhance the recovery and efficiency of policies inside the network architecture. The modern communication infrastructure makes the role more important, as others cannot do this from a development perspective. The safety of the drivers and passengers in the VANET is a high priority in this autonomous industry [5]. Several possible attacks on the VANET make its distribution more questionable regarding data transparency and security. The data is very important in the VANET. Denial of services, jamming, malware, Blackhole, spamming, Sybil, tunneling, GPS spoofing, and traffic analysis attacks are the common attacks on the VANET environment. The most significant and dangerous attack is a denial of service or distributed denial of service attack (DDoS) in VANET. These attacks make the network more vulnerable and provide a separate attack scenario for the development perspectives of the network and autonomous industry. The attacks encountered under these umbrellas destroy the network activities [6]. VANET has multiple categories, such as cloud ad hoc networks (CANET), mobile ad hoc networks (MANET), and vehicular ad hoc networks (VANET). All of these can be compromised using the attack scenario presented in this context for the VANET to be updated according to the wireless technologies. Hop-to-hop communication is allowed, or vehicle-to-vehicle communication, in this research that corresponds to secure communications using the machine learning approach. The VANET offers multiple ways to control and provides the significance of handling these types of network attacks.