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About A Hybrid Anomaly Classification With Deep Learning - Paper
This document presents a summary of a research paper on using a hybrid approach of deep learning and binary algorithms as an optimizer for anomaly classification in intrusion detection systems. The hybrid approach uses deep learning for anomaly classification and binary algorithms like binary genetic algorithm and binary gravitational search algorithm as an optimizer to increase detection rates. The paper discusses intrusion detection systems, anomaly-based detection, and provides an overview of binary genetic algorithms and binary gravitational search algorithms. It also briefly reviews literature on using data mining and hybrid learning approaches for intrusion detection.
Detailed Information
Author: | ['Revati Wable'] |
---|---|
Publication Year: | 2021 |
Pages: | 11 |
Language: | English |
Format: | |
Price: | FREE |
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