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Ningyuan Ma

dblp:331/7781 · DBLP profile ↗
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1ranked-venue papers
0as first author
1since 2021 · last 2026
0009-0005-0299-7937ORCID · reported

Domains — the database's venue-derived domains; a paper can count in several

Systems, architecture and hardware · 1 · 1 since 2021

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Computer architecture, parallel and distributed computing, and storage systems
1 paper
Cloud and datacenter computing · 100%
Network and information security
1 paper
Cryptographic protocols and secure computation · 77% Cryptographic primitives and cryptanalysis · 23%

Topics — the 3 heaviest of 4, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Cloud and datacenter computing
cloud data management
1.012026
How to Unleash the Value of Cloud Data? Secure and Efficient Data Delivery for Subscription-Based Entrusted Trading · IEEE Trans. Computers 2026
Cloud and datacenter computing › cloud storage
outsourced encrypted data
1.012026
How to Unleash the Value of Cloud Data? Secure and Efficient Data Delivery for Subscription-Based Entrusted Trading · IEEE Trans. Computers 2026
Cryptographic primitives and cryptanalysis
encryption
0.312026
How to Unleash the Value of Cloud Data? Secure and Efficient Data Delivery for Subscription-Based Entrusted Trading · IEEE Trans. Computers 2026

Methods — techniques the papers use, named apart from their topics

random oracle model · 2.0
YearPublicationVenuePosition
2026 How to Unleash the Value of Cloud Data? Secure and Efficient Data Delivery for Subscription-Based Entrusted Trading
abstract
Exchange-assisted cloud-based data trading (ECDT) is a promising paradigm in current marketplaces, where an exchange provides underlying trading services while the cloud serves as a fundamental base for data sellers, brokers, and data buyers to enable them to benefit from data trading. However, directly integrating existing commercial cloud services into an exchange system suffers from practicality issues. In existing ECDT systems, the data outsourced to the cloud generally follows an “encrypt-then-outsource” paradigm, and the encrypted database makes it impractical for brokers to generate and deliver on-demand data products to the buyer, thereby hindering subscription-based data trading. In this paper, we propose a secure and efficient data delivery scheme, dubbed ESECDT, for subscription-based ECDT. ESECDT consists of data entrustment and data delivery and supports continuous data entrustment and customized data delivery while freeing the broker from heavy costs in terms of computation and communication. We formally define and prove the security of ESECDT in the random oracle model. We also implement an ESECDT prototype and conduct a comprehensive performance evaluation, which demonstrates the efficiency and practicality of ESECDT.
Yuan Zhang 0006, Yaqing Song, Ningyuan Ma, Nan Cheng 0001, Kan Yang 0001, Hongwei Li 0001
IEEE Trans. Computers4