Distributed Intrusion Detection System for Cloud Environments Using Deep Learning Machine Algorithms

Pibowei, Oyindeinbofa (2022) Distributed Intrusion Detection System for Cloud Environments Using Deep Learning Machine Algorithms. Masters thesis, Dublin, National College of Ireland.

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Abstract

The rapid growth of computer networks has altered the prospect of the security of networks. With the increasing connectivity between computers bring about exposure of these computers on the network to vulnerabilities. To curb the increase in attacks, intrusion detection systems were developed for the protection of computers and devices on the network. With the evolving of technology, researchers have been led to proffer evolving solutions to this challenge faced. This paper implemented a distributed intrusion detection system using deep learning machine algorithms for detection of unknown attacks on the network. Logistic Regression, Artificial Neural Network (ANN), Random Forest, and Gradient Boosting Classifiers were the implemented algorithms in this paper and was experimented on KDD99, CIC and NSL-KDD datasets to determine which condition was more suited for detection of attacks and compared to previous models carried out on the same datasets, the implemented model performed with a higher efficiency while maintaining accuracy of over 99%.

Item Type:	Thesis (Masters)
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 Q Science > Q Science (General) > Self-organizing systems. Conscious automata > Machine learning
Divisions:	School of Computing > Master of Science in Cyber Security
Depositing User:	Tamara Malone
Date Deposited:	29 Dec 2022 12:51
Last Modified:	07 Mar 2023 12:33
URI:	https://norma.ncirl.ie/id/eprint/6042

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