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AdaBoost IDS to detect Zero Day attacks and reduce false positives

-, Benetto George (2022) AdaBoost IDS to detect Zero Day attacks and reduce false positives. Masters thesis, Dublin, National College of Ireland.

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Zero-day attacks are becoming more frequent nowadays. It is defined as when an attacker takes over a software or application with an exploit known to the developer, but the patch for the same is not available; the developer has zero days to fix it, hence it is called zero-day attack. Preventing such an attack is extremely crucial for organizations. The present-day methods use an IDS (Intrusion Detection System) to detect such an attack. They are efficient in doing the same but produce high rate of false positives which wastes a lot of time because a non-attack is labelled as an attack. Therefore, accurate and fast IDS(s) are needed, which in turn saves time in detecting them. It also makes the company safe and ensures that the necessary steps are taken immediately to remedy it. This paper proposes a novel approach in detecting zero-day attacks and reducing the false positive rates with an AdaBoost IDS.

Item Type: Thesis (Masters)
Khan, Imran
Uncontrolled Keywords: AdaBoost algorithm; Zero-Day attack; Feature Selection; Accuracy; False Positive rate
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 > 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: 24 Apr 2023 14:31
Last Modified: 24 Apr 2023 14:31

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