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Detection of Denial of Service (DoS) Attacks in VANET using Filters

Srinivasa Raghavan, Uppili (2020) Detection of Denial of Service (DoS) Attacks in VANET using Filters. Masters thesis, Dublin, National College of Ireland.

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Abstract

Vehicular Ad-Hoc Networks (VANET) are considered as a subset of Mobile Ad-Hoc Networks (MANET). VANET is mainly used for the construction of an intelligent transport system. VANET enables communication between the vehicles (V2V) and vehicles to infrastructure (V2I). VANET can be used to coordinate the traffic, improve safety measures, support the drivers for hassle-free driving. It plays a major role in building smart cities in the near future. VANET is vulnerable to a number of security issues among which the DoS attack is a major part. DoS attack in VANET involves a malicious node flooding a huge amount of traffic using spoofed identities. This, in turn, may disrupt the services of vehicles in the network. The detection of the attack becomes very difficult due to fake identities. The detection scheme uses a cuckoo filter and IP detection technique to detect the attack in the network. Once the attack is detected it generates a broadcast message to all the other vehicles that are present in the network.

Item Type: Thesis (Masters)
Subjects: Q Science > QA Mathematics > Electronic computers. Computer science
T Technology > T Technology (General) > Information Technology > Electronic computers. Computer science

Q Science > QA Mathematics > Computer software
T Technology > T Technology (General) > Information Technology > Computer software

Q Science > QA Mathematics > Computer software > Computer Security
T Technology > T Technology (General) > Information Technology > Computer software > Computer Security
Divisions: School of Computing > Master of Science in Cyber Security
Depositing User: CAOIMHE NI MHAICIN
Date Deposited: 02 Apr 2020 10:27
Last Modified: 02 Apr 2020 10:27
URI: http://trap.ncirl.ie/id/eprint/4156

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