Intelligent Firewall Automation For Virtualized Cloud Infrastructure

Arya, Shivani (2024) Intelligent Firewall Automation For Virtualized Cloud Infrastructure. Masters thesis, Dublin, National College of Ireland.

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Abstract

Cloud computing is a relatively young innovative solution that has been progressively implemented by many enterprises around the world; however, its security risks are rather high, and one of the most critical is DDoS. It is very sad that these attacks can hugely affect organizations depending on cloud services in their operations. This work discusses DDoS mitigation measures on AWS platform while identifying the cloud solutions provider serving over 1.7 million active customers in more than 190 countries. The work assesses the safeguards that AWS provides to mitigate and prevent DDoS attacks regarding the firm’s infrastructure. Live experiments consisting of, at least, tens of concurrent connections originating from different AWS instances were carried out in order to test the ability of instances to withstand simulated DDoS threats resulting from such scripts. ML methods, viz. Decision Trees, Random Forest, and Sector Vector Machine became part of the system to prevent malware attacks in real time. The implementation relies on AWS EC2 instances, as the basis for applying intelligent firewall and hosting of important web applications. This work offers knowledge on how to strengthen security criteria while utilizing automation and ML to detect anomalies in AWS-based systems and prevent emerging threats.

Item Type:	Thesis (Masters)
Supervisors:	Name Email Verma, Rohit 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 Q Science > Q Science (General) > Self-organizing systems. Conscious automata > Machine learning
Divisions:	School of Computing > Master of Science in Cyber Security
Depositing User:	Ciara O'Brien
Date Deposited:	18 Jul 2025 09:31
Last Modified:	18 Jul 2025 09:31
URI:	https://norma.ncirl.ie/id/eprint/8191

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