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Special Issue "Symmetry and Asymmetry in Cryptography and Outsourcing Computation"

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School of Communication and Information Engineering, Shanghai University, Shanghai 200444, China
Interests: cryptography; network security; blockchain security; AI security

Special Issue Information

Dear Colleagues,

With the development of cloud computing, outsourcing computation has attracted widespread attention from the academic world and industrial community, during which the outsourcer with limited resources can delegate expensive computational work to powerful servers based on symmetry and asymmetry cryptography, capable of realizing the full utilization of a resource, possibly saving a substantial amount of computation time and cost for the outsourcer with limited ability.

Despite many tremendous advantages, outsourcing computation also encounters some security challenges, such as privacy leaks and wrong outsourcing results. Therefore, a secure outsourcing computation should simultaneously ensure the secrecy of sensitive information, verifiability of the outsourcing result and efficiency of the testing phase.

This Special Issue aims to explore and address the security and privacy aspects associated with outsourcing computation, encouraging novel, transformative and multidisciplinary solutions by addressing unique challenges in this area.

Potential topics include, but are not limited to, the following:

Survey of security and privacy in outsourcing computation;
Lightweight cryptographic primitive design for secure outsourcing computation;
Verifiable outsourcing computation;
The common theory of secure outsourcing computation;
Applications of secure outsourcing computation for machine learning, federated learning and distributed computation.

Prof. Dr. Yanli Ren
Guest Editor

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Symmetry is an international peer-reviewed open access monthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2400 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

cryptography
outsourcing computation
lightweight cryptographic primitive
fully verifiability
federated learning

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Research

Open AccessArticle

Privacy-Preserving Medical Data-Sharing System with Symmetric Encryption Based on Blockchain

Mingqi Hu

Yanli Ren

and

Cien Chen

Symmetry 2023, 15(5), 1010; https://doi.org/10.3390/sym15051010 - 30 Apr 2023

Viewed by 803

Abstract

Nowadays, data between hospitals are usually not interoperable, which brings great inconvenience to medical data sharing and patients’ medical treatment. In addition, patients do not want their medical data to be leaked during the sharing process. Researchers have employed blockchain to build data-sharing systems to address these issues. However, current systems do not restrict the power of participants, nor do they prevent visitors from sharing the obtained data to unauthorized parties. To address these issues, we propose a private data-sharing system with symmetric encryption for the medical industry that implements power restriction and access control, and prevents the leakage of private data. To be specific, firstly, symmetric encryption algorithm is utilized to encrypt medical data to protect the privacy of data owner. Secondly, our proposed system is built on a new blockchain framework, in which only visitors with permission can access the medical data. Thirdly, we employ chameleon signature to prevent visitors from sharing data with other parties without permission. Finally, we make the power of participants in the system revocable to prevent them from abusing their power. Our proposed system has been proven to be secure through security analysis and can protect the privacy of patients. In addition, the experimental results show that our system has excellent performance in terms of time overhead compared to other systems. Full article

(This article belongs to the Special Issue Symmetry and Asymmetry in Cryptography and Outsourcing Computation)

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Open AccessArticle

Verifiable Keyword Search Encryption Scheme That Supports Revocation of Attributes

and

Symmetry 2023, 15(4), 914; https://doi.org/10.3390/sym15040914 - 14 Apr 2023

Viewed by 671

Abstract

In recent years, searchable encryption technology and attribute encryption technology have been widely used in cloud storage environments, and attribute-based searchable encryption schemes can both achieve the retrieval of encrypted data and effectively solve the access control problem. Considering that existing attribute-based searchable encryption schemes for cloud storage only support keyword search and do not support attribute revocation, most of the schemes that support attribute revocation only consider the computational overhead of users and ignore the large amount of computational resources consumed by attribute authorization centers when updating keys. In addition, keyword search may lead to partial errors in the returned search results, leading to the wastage of computational and broadband resources. To solve these issues, this paper proposes an attribute-based searchable encryption scheme that supports attribute revocation and is verifiable. To realize fine-grained ciphertext search of encrypted data, support scenarios of dynamic changes of user attributes, and ensure that third-party servers perform the search process reliably and honestly while minimizing computation and storage costs, first, this paper implements attribute revocation with the attribute authorization center by creating a user revocation list and an attribute key revocation list. At the same time, the system updates the attribute key at the time of user search request, which effectively reduces the computational overhead. Second, a third-party auditor is introduced to ensure the correctness of the search results. Finally, the security of this paper is verified by theoretical analysis, and the efficiency and practicality of this paper are verified by comparing it to other schemes through simulation experiments. Full article

(This article belongs to the Special Issue Symmetry and Asymmetry in Cryptography and Outsourcing Computation)

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Special Issue "Symmetry and Asymmetry in Cryptography and Outsourcing Computation"

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