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سی و یکمین کنفرانس بین المللی مهندسی برق
Privacy-Preserving Model Predictive Control Using Secure Multi-Party Computation
نویسندگان :
Saeed Adelipour
1
Mohammad Haeri
2
1- Sharif university of technology
2- دانشگاه صنعتی شریف
کلمات کلیدی :
Model predictive control،Secret sharing،Multi-party computation،Privacy-preserving optimization،Projected gradient method
چکیده :
In this paper, a secure multi-party computation strategy based on secret sharing is used to derive a privacy-preserving model predictive control for a class of cyber-physical system. In the proposed framework, the underlying optimization problem of model predictive control is solved by a variation of projected gradient method. All required computations are carried out by outsourced computation units at the cloud level, while data privacy is maintained using a secret sharing scheme. The original values of system private parameters are not revealed to any external eavesdroppers and the cloud computing units. Simulation results demonstrate the efficiency of the proposed method in terms of performance and privacy.
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بیشتر
ثمین همایش، سامانه مدیریت کنفرانس ها و جشنواره ها - نگارش 43.6.0
