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Analyzing the Trade-Off Between Performance and Computational Cost in Encrypted Control Systems

Basiri, Danial | 2024

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  1. Type of Document: M.Sc. Thesis
  2. Language: Farsi
  3. Document No: 57803 (05)
  4. University: Sharif University of Technology
  5. Department: Electrical Engineering
  6. Advisor(s): Tavazoei, Mohammad Saleh
  7. Abstract:
  8. Cloud control systems have garnered significant attention due to the many advantages of cloud computing, such as the ability to store and process large amounts of data efficiently. However, transferring data over public networks introduces several challenges for control systems. One major concern is the system's vulnerability to eavesdropping and security threats. Additionally, the computational demands of cloud-based controllers can result in increased system delays. This thesis addresses these challenges by integrating encryption methods with control theory. It focuses on mitigating the computational overhead introduced by encrypted networks and proposes two innovative solutions to tackle this issue. The first solution introduces an expanded switching method designed for encrypted controllers. This method ensures a smooth transition between two controllers, allowing the system to leverage the advantages of both. When one controller exhibits poor performance, the switching method enables the system to utilize the strengths of the other controller, ensuring optimal performance even in encrypted control scenarios. Finally, a novel approach is explored that enables controllers to operate smoothly within encrypted networks without the risk of overflow. This method ensures stable and effective control performance, even under complex and long-term conditions. By eliminating the need for intricate operations such as bootstrapping, this approach allows controllers to function indefinitely, establishing a new standard of security and stability in encrypted control systems
  9. Keywords:
  10. Encrypted Control Systems ; Computational Costs ; Performance ; Hommorphic Encryption ; Computation Overhead ; Cloud Computing ; Communication Cost-Performance Trade Off

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