A Note on ``Privacy-Preserving and Secure Cloud Computing: A Case of Large-Scale Nonlinear Programming''

Zhengjun Cao; Lihua Liu

Paper 2024/1588

A Note on ``Privacy-Preserving and Secure Cloud Computing: A Case of Large-Scale Nonlinear Programming''

Zhengjun Cao

Lihua Liu

Abstract

We show that the outsourcing algorithm for the case of linear constraints [IEEE Trans. Cloud Comput., 2023, 11(1), 484-498] cannot keep output privacy, due to the simple translation transformation. We also suggest a remedy method by adopting a hybrid transformation which combines the usual translation transformation and resizing transformation so as to protect the output privacy.

Metadata

Available format(s): PDF
Category: Attacks and cryptanalysis
Publication info: Preprint.
Keywords: Nonlinear programming linear constraints output privacy translation transformation resizing transformation
Contact author(s): liulh @ shmtu edu cn
History: 2024-10-08: approved; 2024-10-08: received; See all versions
Short URL: https://ia.cr/2024/1588
License: CC0

BibTeX

@misc{cryptoeprint:2024/1588,
      author = {Zhengjun Cao and Lihua Liu},
      title = {A Note on ``Privacy-Preserving and Secure Cloud Computing: A Case of Large-Scale Nonlinear Programming''},
      howpublished = {Cryptology {ePrint} Archive, Paper 2024/1588},
      year = {2024},
      url = {https://eprint.iacr.org/2024/1588}
}