Fadlallah Chbib, W. Fahs, Jamal Haydar, L. Khoukhi, R. Khatoun
{"title":"Message Fabrication Detection Model based on Reactive Protocols in VANET","authors":"Fadlallah Chbib, W. Fahs, Jamal Haydar, L. Khoukhi, R. Khatoun","doi":"10.1109/CSNet50428.2020.9265458","DOIUrl":null,"url":null,"abstract":"The ever-increasing necessity to manage various issues in road mobility led to the growth of Vehicular Ad hoc Networks (VANETs). Nowadays, VANETs has the potential to improve vehicle and road safety, traffic efficiency, convenience, as well as comfort to both drivers and passengers. Vehicular communication is exposed to several vulnerabilities such as Denial of Service attacks (DOS), Blackhole, Grey hole and fabrication attacks. Among the most known attacks are the fabrication attacks. Fabrication attack consists of a malicious node that modifies information in the packet that causes critical damage in the network like congestion and high delay. In this paper, we propose a new fabrication model which consist of two algorithms attack and anti-attack. In this attack, the malicious node fabricates the content of the message; in other words, the destination address of the input packet is replaced by another one. In the antiattack, our new proposed algorithm has the role to detect the fabrication attack during the communication. It continuously checks the buffer of each node so that the input destination address must be the same as the output destination address; otherwise, the node is identified as malicious and a message is sent to other nodes to remove it from their routing table. The proposed algorithm aims to minimize the delay of packets. We use Network Simulator NS-2.35 to implement and evaluate the performance of the proposed algorithms. The results show good improvements in terms of packet delivery ratio and the end to end delay.","PeriodicalId":234911,"journal":{"name":"2020 4th Cyber Security in Networking Conference (CSNet)","volume":"2 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-10-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2020 4th Cyber Security in Networking Conference (CSNet)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CSNet50428.2020.9265458","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 4
Abstract
The ever-increasing necessity to manage various issues in road mobility led to the growth of Vehicular Ad hoc Networks (VANETs). Nowadays, VANETs has the potential to improve vehicle and road safety, traffic efficiency, convenience, as well as comfort to both drivers and passengers. Vehicular communication is exposed to several vulnerabilities such as Denial of Service attacks (DOS), Blackhole, Grey hole and fabrication attacks. Among the most known attacks are the fabrication attacks. Fabrication attack consists of a malicious node that modifies information in the packet that causes critical damage in the network like congestion and high delay. In this paper, we propose a new fabrication model which consist of two algorithms attack and anti-attack. In this attack, the malicious node fabricates the content of the message; in other words, the destination address of the input packet is replaced by another one. In the antiattack, our new proposed algorithm has the role to detect the fabrication attack during the communication. It continuously checks the buffer of each node so that the input destination address must be the same as the output destination address; otherwise, the node is identified as malicious and a message is sent to other nodes to remove it from their routing table. The proposed algorithm aims to minimize the delay of packets. We use Network Simulator NS-2.35 to implement and evaluate the performance of the proposed algorithms. The results show good improvements in terms of packet delivery ratio and the end to end delay.