Secure Parameter Identification for Multi-Participant ARX Systems via CKKS Cryptosystem-Based Proxy Re-Encryption
Jialong Chen, Ji-Feng Zhang

TL;DR
This paper presents a secure parameter identification algorithm for multi-participant ARX systems using a CKKS cryptosystem with truncated Gaussian noise, ensuring privacy and security against attacks.
Contribution
It introduces a novel proxy re-encryption scheme based on CKKS with truncated noise, providing security proofs and convergence analysis for multi-party system identification.
Findings
The proposed scheme is IND-CPA secure under standard assumptions.
The algorithm achieves mean square convergence with a quantifiable rate.
Numerical results verify the effectiveness and security of the method.
Abstract
This paper investigates the parameter identification for multi-participant autoregressive exogenous input (ARX) systems while protecting the system input and output. To do so, the discrete Gaussian noise in the standard Cheon-Kim-Kim-Song (CKKS) cryptosystem is replaced with a truncated one. By using the CKKS cryptosystem with the truncated discrete Gaussian noise and the key-switching technique, a proxy re-encryption scheme is developed. Based on this scheme, a secure parameter identification algorithm is proposed for multi-participant ARX systems. By rigorously proving that the statistical distance between the discrete Gaussian noise and the truncated one is negligible, the polynomial-time reduction between the standard Ring-Learning with Errors (RLWE) problem and the RLWE problem with the truncated discrete Gaussian noise is established. This result ensures the indistinguishability…
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Taxonomy
TopicsControl Systems and Identification · Smart Grid Security and Resilience · Stability and Control of Uncertain Systems
