Citation:

Jyothsna Devi Dontha, 2023. "Cyber-Physical Systems: Enhancing Security And Reliability In Industrial Automation", ESP Journal of Engineering & Technology Advancements, 3(4): 106-114.

Abstract:

Cyber-Physical Systems (CPS) represent the convergence of physical processes and computational control, enabling enhanced automation and monitoring in industrial environments. CPS plays a pivotal role in ensuring operational efficiency, precision, and real-time decision-making in sectors such as manufacturing, energy systems, and smart grids. However, the growing interconnectivity and integration of CPS expose these systems to significant security threats, including cyberattacks, unauthorized access, and operational disruptions. Additionally, ensuring system reliability amidst hardware failures, data inaccuracies, and network latency remains a critical challenge. This research aims to address the dual challenges of security and reliability in CPS for industrial automation. The methodology incorporates advanced techniques such as real-time monitoring, intrusion detection systems (IDS), fault-tolerant control (FTC), and AI-based enhancements for predictive analysis and anomaly detection. Real-time IDS mechanisms enhance security by identifying and mitigating potential cyber threats, while fault-tolerant systems ensure continued operation in the presence of hardware or network faults. AI-based predictive models further optimize system performance by identifying vulnerabilities and proactively addressing operational risks.Key findings demonstrate that integrating robust security frameworks with reliable fault management systems significantly enhances CPS resilience. The adoption of AI-based controls reduces downtime, mitigates cyber vulnerabilities, and ensures operational continuity, leading to improved efficiency and system uptime.This research provides a foundation for securing and enhancing CPS in industrial automation, offering solutions to meet the evolving demands of modern industries.

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Keywords:

Cyber-physical systems, industrial automation, security, reliability, intrusion detection, fault-tolerant systems, AI-based control.