Paper Info
Title
Experimental Validation of Encrypted Quadratic Optimization Implemented on Raspberry Pi
Abstract
Cloud-based outsourcing framework provides an effective and superior means of information processing in solving quadratic optimization problems with linear constraints involving multiple agents. However, since the data involved in solving the quadratic optimization problem might be privacy-sensitive, there are different privacy leakage problems in the data collection and calculation stages. In this study, we propose a general cryptographic framework for securely computing quadratic optimization problems with sensitive data. Simultaneously, we analyze the privacy leakage problem in the cloud-based outsourcing computing framework and the corresponding solutions are given. The correctness and efficiency of the cryptographic framework are evaluated by conducting experiments on the Raspberry Pi and laptop. The experimental results validate that the cryptographic framework not only effectively protects the privacy-sensitive information but also can complete the calculation on the device with limited computing resources.
Year
DOI
Venue
2022
10.23919/ASCC56756.2022.9828260
2022 13th Asian Control Conference (ASCC)
Keywords
DocType
ISSN
Raspberry Pi,cryptographic framework,sensitive data,privacy leakage problem,cloud-based outsourcing computing framework,privacy-sensitive information,encrypted quadratic optimization
Conference
2770-8365
ISBN
Citations 
PageRank 
978-1-6654-9134-1
0
0.34
References 
Authors
14
3
Name
Order
Citations
PageRank
Ze Yang100.34
Zhenyong Zhang201.35
Youliang Tian321.37