Power of Encryption Algorithms on Power Consumption in Energy Produced Systems

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ABSTRACT

This comprehensive study investigates the impact of various encryption algorithms on power consumption within energy production systems. As the energy sector increasingly relies on digital technologies for monitoring, control, and data management, the need for robust cyber security measures becomes paramount. However, the implementation of encryption algorithms can potentially increase power consumption, affecting the overall efficiency of energy production systems. This research examines the power consumption patterns of different encryption algorithms with comparison in between AES and RSA with different factors and gets the result AES is faster than RSA in speed factor. So this effectiveness in securing energy production systems, and proposes strategies to optimize the balance between security and energy efficiency. Through extensive simulations and real-world case studies, we provide insights into selecting appropriate encryption methods that maintain high security standards while minimizing additional power overhead in energy production environments.

Significance of the Study:

This study highlights the crucial balance between cyber security and energy efficiency in energy production systems. By analyzing the impact of encryption algorithms like AES and RSA on power consumption, the research emphasizes the need for energy-efficient cryptographic methods. Its findings are pivotal for improving the resilience of energy systems against cyber threats while minimizing energy overhead. This work contributes to sustainable energy management, ensuring robust security without compromising the efficiency of increasingly interconnected and resource-constrained energy environments.

Summary of the Study:

The study investigates the power consumption of encryption algorithms in energy production systems, comparing AES and RSA. It identifies AES as faster and more energy-efficient than RSA, providing practical insights into balancing security and energy efficiency. Real-world case studies in hydroelectric and solar facilities underscore the findings. The research proposes lightweight cryptographic solutions and adaptive security systems to enhance system resilience while conserving energy. Future directions include post-quantum cryptography and machine learning-driven encryption strategies.