| Title | Detecting Sybil Attack, Black Hole Attack and DoS Attack in VANET Using RSA Algorithm |
| Publication Type | Conference Paper |
| Year of Publication | 2021 |
| Authors | Shah, Priyanka, Kasbe, Tanmay |
| Conference Name | 2021 Emerging Trends in Industry 4.0 (ETI 4.0) |
| Keywords | AODV protocol, Black hole attack, composability, DoS attack, Heuristic algorithms, Metrics, pubcrawl, resilience, Resiliency, Routing protocols, security, Sybil attack, sybil attacks, Throughput, Tools, vehicular ad hoc networks, Wireless sensor networks, wireless sensor networks (WSN) |
| Abstract | In present scenario features like low-cost, power-efficientand easy-to-implement Wireless Sensor Networks (WSN's) has become one of growing prospects.though, its security issues have become a popular topic of research nowadays. Specific attacks often experience the security issues as they easily combined with other attacks to destroy the network. In this paper, we discuss about detecting the particular attacks like Sybil, Black-holeand Denial of Service (DoS) attacks on WSNs. These networks are more vulnerable to them. We attempt to investigate the security measures and the applicability of the AODV protocol to detect and manage specific types of network attacks in VANET.The RSA algorithm is proposed here, as it is capable of detecting sensor nodes ormessages transmitted from sensor nodes to the base station and prevents network from being attacked by the source node. It also improves the security mechanism of the AODV protocol. This simulation set up is performed using MATLAB simulation tool |
| DOI | 10.1109/ETI4.051663.2021.9619414 |
| Citation Key | shah_detecting_2021 |
Detecting Sybil Attack, Black Hole Attack and DoS Attack in VANET Using RSA Algorithm