International Journal Of Imaging

Abstract

Ensemble Learning-Based Deep Learning Model for Cyberattack Detection in SCADA- Based IIOT Networks

Author: B. Roja Sri Mtech(CSE) J. Rohini , M. Divya Sri, G. Yuva Kishore, V. Syam Prudhvi teja

Abstract:

The rapid integration of Supervisory Control and Data Acquisition (SCADA) systems with Industrial Internet of Things (IIOT) networks has enhanced industrial automation but also introduce significant cybersecurity vulnerabilities. Traditional security methods struggle to detect sophisticated cyber threats in real-time due to the increasing complexity of network traffic. This project proposes an Ensemble Learning-Based Deep Learning Model for cyberattack detection in SCADA-based IIOT networks. The model integrates multiple machine- learning classifiers, including Logistic Regression, Decision Trees, Support vector machine, and Deep Neural Networks (DNNs), to enhance detection accuracy and robustness.