Effect on Aodv Routing Protocol Under Blackhole Attack in Vanet

Abstract

Vehicular Ad-hoc Networks (VANETs) is an advancement over Mobile Ad Hoc Networks (MANETs) which is mainly design for inter vehicle communication. VANET is a scalable and unbounded network which is completely independent from the number of nodes. It can be implemented for one or several cities even for whole country. VANET is a self organizing network emergent technology with a promising advantages but having high challenges in its security. VANET communication must be secure and having guarantee that transmitted message is not inserted or modified by any attackers. VANETs is having different security requirement for governing proper vehicular communication. For secure VANET communication first systems have to discover who are the attackers, their capacity and nature to spoil the network communication. In this paper we have done the analysis of different Routing protocols OLSR, DSDV, AODV and DSR in VANET. We selected AODV as a most vulnerable protocol in VANET and presented effect of Blackhole Attack using AODV Protocol with the detail comparative analysis of Packet Drop Rate, Throughput and End to End Delay Parameters.

Review of Authentication Communication Protocols in Mobile(Vehicular) Network via FOG Computing

“…In VANET, if the destination vehicle is far away, then the sender node takes the help of an intermediate node to transmit data to the destined node. Here intermediate node act as a malicious node and it break up the trust and use trial and error approach to decrypt the data [41][42].…”

“…Here the attacker has a deep sense of knowledge about the structure and design of the network before launching an attack. The attacker sends malicious data that lead to jamming, accidents as well as create chaos in the network [41][45].…”

Improvement of the Cybersecurity of the Satellite Internet of Vehicles through the Application of an Authentication Protocol Based on a Modular Error-Correction Code

“…In [20], a rather detailed analysis of the main attacks on vehicle privacy as well as solutions to this problem is presented. Thus, both cryptographic methods [21] and noise techniques [22] are used against eavesdropping and traffic analysis.…”

Cyber Resilience in Autonomous Vehicles: Defending Against Emerging Threats

“…In this section, nine research papers discussing the different attacks are analyzed. The papers are Nanda et al [18], Kaur et al [20], Junaid et al [21] Cui et al [22], Upadhyaya and Shah [23], Chowdhury et al [24], Ghori et al [25], Sirola et al [26] and Samara [27]. In total, 30 unique attacks were reviewed in these studies.…”