Min3GISG: A Synergistic Feature Selection Framework for Industrial Control System Security with the Integrating Genetic Algorithm and Filter Methods

Min3GISG: A Synergistic Feature Selection Framework for Industrial Control System Security with the Integrating Genetic Algorithm and Filter Methods

Abstract Industrial control systems (ICS) are crucial for automating and optimizing industrial operations but are increasingly vulnerable to cyberattacks due to their interconnected nature. High-dimensional ICS datasets pose challenges for effective anomaly detection and classification. This study a...

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Bibliographic Details
Main Authors: Saiprasad Potharaju, Swapnali N. Tambe, G. Madhukar Rao, M. V. V. Prasad Kantipudi, Kalyan Devappa Bamane, Mininath Bendre
Format: Article
Language:English
Published: Springer 2025-05-01
Series:International Journal of Computational Intelligence Systems
Subjects:
Feature selection
ICS
Genetic Algorithm
Filter-based methods
Embedded methods
Classification
Online Access:https://doi.org/10.1007/s44196-025-00827-2
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https://doi.org/10.1007/s44196-025-00827-2

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