Title | Implementation of a Methodology for Detection and Prevention of Security Attacks in Vehicular Adhoc Networks |
Publication Type | Conference Paper |
Year of Publication | 2020 |
Authors | R, Naveen, Chaitanya, N.S.V, M, Nikhil Srinivas, Vineeth, Nandhini |
Conference Name | 2020 IEEE International Conference for Innovation in Technology (INOCON) |
Date Published | Nov. 2020 |
Publisher | IEEE |
ISBN Number | 978-1-7281-9744-9 |
Keywords | composability, DDoS Attack Prevention, denial-of-service attack, DSR protocol, Human Behavior, Metrics, network architecture, NS3, Prediction algorithms, pubcrawl, reliability, replay attacks, resilience, Resiliency, Roads, security, security attacks, SUMO, Sybille Attack, VANETs, vehicular ad hoc networks |
Abstract | In the current generation, road accidents and security problems increase dramatically worldwide in our day to day life. In order to overcome this, Vehicular Ad-hoc Network (VANETs) is considered as a key element of future Intelligent Transportation Systems (ITS). With the advancement in vehicular communications, the attacks have also increased, and such architecture is still exposed to many weaknesses which led to numerous security threats that must be addressed before VANET technology is practically and safely adopted. Distributed Denial of Service (DDoS) attack, replay attacks and Sybil attacks are the significant security threats that affect the communication and privacy in VANET. An algorithm to detect and prevent various kinds of security attacks in VANET communication has been designed and proposed in this work. An analysis has also been done by applying four protocols on an existing scenario of real traffic simulator using OpenStreetMap and the best suitable protocol has been selected for further application. The evaluation has been done using SUMO, NS3 and Java simulation environment. Simulation results and extensive performance analysis shows that our proposed Algorithm performs well in detecting and preventing the attacks in VANET communication. |
URL | https://ieeexplore.ieee.org/document/9298365 |
DOI | 10.1109/INOCON50539.2020.9298365 |
Citation Key | r_implementation_2020 |