Detection of man in the middle attack on fog layer using Intrusion Detection Systems

Sivasubramanian, Sri Sairam (2023) Detection of man in the middle attack on fog layer using Intrusion Detection Systems. Masters thesis, Dublin, National College of Ireland.

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Abstract

Fog computing, being a dispersed computing architecture, presents advantages, although it also gives rise to security concerns, specifically in relation to Man-in-the-Middle (MITM) attacks. Intrusion detection systems (IDSs) possess the capability to mitigate such hazards. This study aims to detecting Man-in-the-Middle (MITM) attacks inside fog computing systems using IDS. The Intrusion Detection System (IDS) known as Snort is widely recognized in the field. Detection rates of 90% were attained through the use of a testbed that emulated a variety of attack situations, thereby showcasing the proficiency of Snort in accurately recognizing and flagging such malicious endeavours. However, this study highlights many limitations, including the requirement for accurate detection techniques and notable rates of false positives. It is recommended to make alterations to the detection rules of Snort and integrate it with additional security systems to enhance performance. The findings of this research have implications for the future development and enhancement of Intrusion Detection System (IDS) capabilities.

Item Type:	Thesis (Masters)
Supervisors:	Name Email Cosgrave, Noel UNSPECIFIED
Subjects:	Q Science > QA Mathematics > Electronic computers. Computer science T Technology > T Technology (General) > Information Technology > Electronic computers. Computer science T Technology > T Technology (General) > Information Technology > Cloud computing 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:	Tamara Malone
Date Deposited:	05 Nov 2024 15:52
Last Modified:	05 Nov 2024 15:52
URI:	https://norma.ncirl.ie/id/eprint/7153

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