DoS attacks detection using Snort in virtualized environment by using GNS3

Yusharizal, Nurfatihah and Haji Mat Taib, Abidah (2023) DoS attacks detection using Snort in virtualized environment by using GNS3. In: Research Exhibition in Mathematics and Computer Sciences (REMACS 6.0). Faculty of Computer and Mathematical Sciences, UiTM Cawangan Perlis, pp. 105-106. ISBN 978-629-97440-5-4

Abstract

This project focuses on the detection of Denial of Service (DoS) attacks using Snort, an open-source intrusion detection system, within a virtualized environment created using GNS3, a network simulation platform. The primary objective is to set up an isolated network that simulates DoS attacks on Linux and Windows hosts, allowing for the analysis of host behavior under these attacks. This is achieved by consuming a stream of request records from multiple servers using an Intrusion Detection System (IDS). The project also aims to demonstrate the network behavior under DoS attacks with and without security measures in place. Through the implementation of Snort, GNS3, and Wireshark, the project evaluates the effectiveness of these tools in detecting and mitigating DoS attacks, while also monitoring performance metrics such as connectivity tests, CPU usage of the victim, and throughput and packet drop rates. The outcomes of this project contribute to enhancing network security and provide valuable insights into the detection and evaluation of DoS attacks in a virtualized network environment.

Metadata

Item Type: Book Section
Creators:
Creators
Email / ID Num.
Yusharizal, Nurfatihah
UNSPECIFIED
Haji Mat Taib, Abidah
UNSPECIFIED
Subjects: T Technology > TK Electrical engineering. Electronics. Nuclear engineering > Telecommunication > Computer networks. General works. Traffic monitoring > Intrusion detection systems (Computer security). Computer network security. Hackers
Divisions: Universiti Teknologi MARA, Perlis > Arau Campus > Faculty of Computer and Mathematical Sciences
Page Range: pp. 105-106
Keywords: DoS attacks, Snort, GNS3, Wireshark, Virtualized environment
Date: 2023
URI: https://ir.uitm.edu.my/id/eprint/138565
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