ISSN: 2265-6294

DEEP LEARNING APPROACH FOR MULTICLASS CLASSIFICATION OF MALWARE IN INDUSTRIAL IOT

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A. Manasa, Kashish Singh , P. Saikumar, P. Ajay Kumar , G. Ramakrishna Reddy

Abstract

As industries increasingly adopt Internet of Things (IoT) technologies to enhance efficiency, productivity, and automation, the security of Industrial IoT (IIoT) systems becomes a critical concern. The integration of IoT devices in industrial settings introduces new attack surfaces and vulnerabilities, making these systems attractive targets for malicious actors. Malware attacks on IIoT systems can have severe consequences, including production disruptions, data breaches, and potential damage to physical infrastructure. The challenge lies in predicting and preventing malware attacks on IIoT systems effectively.

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