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Extended Secret Sharing Scheme in the Presence of Uncertainty and Noisy States

Esmaeili Hesar Afghan, Younes | 2023

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  1. Type of Document: M.Sc. Thesis
  2. Language: Farsi
  3. Document No: 56862 (05)
  4. University: Sharif University of Technology
  5. Department: Electrical Engineering
  6. Advisor(s): Haeri, Mohammad
  7. Abstract:
  8. In this research, the issue of outsourcing control calculations to servers or external computing parties for non-ideal situations has been discussed. Due to the confidentiality of the information of the control systems, it is necessary to guarantee and maintain the privacy of the data from sensors to the actuators. In this research, secure multi-party computation using secret sharing has been utilized to establish the privacy of these data and simultaneously outsource control computing. In other words, the goal is to design a secure controller by means of secure multi-party computations. One of the most important challenges in the design of controllers that use communication channels to send sensor data from the sensor location to the controller is the network-induced delay. This challenge also presents itself in the control system proposed in this research, with one difference: due to the fact that several computing parties work together to calculate the control signal, we see the delay caused by data transmission, in all of these servers. This challenge, along with other non-ideal conditions in this design, such as measurement noise, channel noise, model uncertainty and uncertainty in the system’s states or delayed states and attacks by malicious adversaries to manipulate the data, are investigated in this project. Providing an algorithm to reduce the effect of measurement noise on the system’s performance, calculating the maximum waiting time before recovering the control signal from the servers’ data and applying it to the system, providing an algorithm to reduce the negative effects of uncertainties and the channel noise on the system’s performance, providing an algorithm to identify faulty and/or under attack servers and finally improving the safety of the multiplication algorithm in multi-party computations are among the achievements of this research
  9. Keywords:
  10. Secret Sharing ; Secure Multiparty Computation (SMC) ; Secure Control ; Measurement Noise ; Channel Noise ; Faulty Servers Detection ; Network Induced Delay

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