| Title | Improved Detection and Mitigation of DDoS Attack in Vehicular ad hoc Network |
| Publication Type | Conference Paper |
| Year of Publication | 2018 |
| Authors | Guleria, Charu, Verma, Harsh Kumar |
| Conference Name | 2018 4th International Conference on Computing Communication and Automation (ICCCA) |
| Keywords | attack detection, attack mitigation, attack topology, composability, Computer crime, computer network security, DDoS Attack, DDoS attack mitigation, DDoS Attacks, distributed denial of service attacks, greedy approach, Human Behavior, Measurement, Metrics, mobile ad hoc networks, network environment, network packet loss, network throughput, NS-2, pubcrawl, resilience, Routing, routing overhead, telecommunication network routing, telecommunication network topology, Throughput, VANETs, VANETs Security, vehicular ad hoc network, vehicular ad hoc networks |
| Abstract | Vehicular ad hoc networks (VANETs) are eminent type of Mobile ad hoc Networks. The network created in VANETs is quite prone to security problem. In this work, a new mechanism is proposed to study the security of VANETs against DDoS attack. The proposed mechanism focuses on distributed denial of service attacks. The main idea of the paper is to detect the DDoS attack and mitigate it. The work consists of two stages, initially attack topology and network congestion is created. The second stage is to detect and mitigate the DDoS attack. The existing method is compared with the proposed method for mitigating DDoS attacks in VANETs. The existing solutions presented by the various researchers are also compared and analyzed. The solution for such kind of problem is provided which is used to detect and mitigate DDoS attack by using greedy approach. The network environment is created using NS-2. The results of simulation represent that the proposed approach is better in the terms of network packet loss, routing overhead and network throughput. |
| DOI | 10.1109/CCAA.2018.8777539 |
| Citation Key | guleria_improved_2018 |
Improved Detection and Mitigation of DDoS Attack in Vehicular ad hoc Network