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Simulation of Detecting and Preventing DDoS in Vehicular Ad-hoc Networks (VANETS)

Rudraraju, Chaitanya (2020) Simulation of Detecting and Preventing DDoS in Vehicular Ad-hoc Networks (VANETS). Masters thesis, Dublin, National College of Ireland.

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Abstract

The Vehicle Ad-Hoc Network (VANET) is a method that has made Intelligent Transportation Systems (ITS) important for the benefit of daily life. Vehicle Ad-Hoc Networks (VANETs) are gaining rapid attention because of the variety of services they can offer. Real- time identification for all forms of attacks has become an important problem for VANET, including Distributed Denial of Service attacks (DDoS). This is due to the intermittent real- time exchange in VANET of security and the delivery of road emergency messages. Therefore, there is a need for efficient storage and intelligent VANET Infrastructure Architecture (VIA), which includes confidence. To address the problem of DDoS attack to protect the end-users as well as precious resources, E-Firecol composed of intrusion detection is proposed. Dealing with VANET attacks is a challenging issue. Most of the current DDoS detection techniques are suffering from poor accuracy and high overhead computation. To address these issues, a new approach to intrusion detection called the E-Firecol Intrusion Detection System (FIDS) and to prevent DDoS attack from entering the network, a Dynamically Growing Self-Organizing Tree (DGSOT) algorithm within RSU is included. The Proposed methodology was successfully implemented and the proposed method gives effective output.

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: 27 Mar 2020 14:19
Last Modified: 27 Mar 2020 14:19
URI: http://norma.ncirl.ie/id/eprint/4150

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