Improving intrusion detection system performance using generative adversarial networks architecture

Detecting attacks based on their behaviour is challenging for security defence mechanisms, including Anomaly Intrusion Detection Systems (AIDSes) due to the attacks’ behaviours, numbers, and architecture used on AIDSes. Lack of information about attacks and their imbalances in datasets leads to limi...

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Bibliographic Details
Main Author: Mohammad Arafah
Format: Default Thesis
Published: 2023
Subjects:
Online Access:https://dx.doi.org/10.26174/thesis.lboro.24584445.v1
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