Jianfen Chu

dblp:85/8577 · also Jianfeng Chu · DBLP profile ↗
← Back
4ranked-venue papers
0as first author
1since 2021 · last 2023
—ORCID · conflict

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

Graphics, computer vision, multimedia, augmented reality and games · 2Systems, architecture and hardware · 1 · 1 since 2021Security and privacy · 1

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 · 62% Storage systems · 38%
Network and information security
1 paper
Cryptographic protocols and secure computation · 100%

Topics — the 5 heaviest of 5, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Cryptographic protocols and secure computation
integrity auditing
0.712023
CIA: A Collaborative Integrity Auditing Scheme for Cloud Data With Multi-Replica on Multi-Cloud Storage Providers · IEEE Trans. Parallel Distributed Syst. 2023
Cloud and datacenter computing › cloud storage
cloud storage auditing
0.712023
CIA: A Collaborative Integrity Auditing Scheme for Cloud Data With Multi-Replica on Multi-Cloud Storage Providers · IEEE Trans. Parallel Distributed Syst. 2023
Storage systems
storage reliability
0.712023
CIA: A Collaborative Integrity Auditing Scheme for Cloud Data With Multi-Replica on Multi-Cloud Storage Providers · IEEE Trans. Parallel Distributed Syst. 2023
Cloud and datacenter computing
cloud storage
0.212023
CIA: A Collaborative Integrity Auditing Scheme for Cloud Data With Multi-Replica on Multi-Cloud Storage Providers · IEEE Trans. Parallel Distributed Syst. 2023
Cloud and datacenter computing › cloud storage
multi-cloud storage
0.212023
CIA: A Collaborative Integrity Auditing Scheme for Cloud Data With Multi-Replica on Multi-Cloud Storage Providers · IEEE Trans. Parallel Distributed Syst. 2023

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

collaborative auditing · 1.3hash functions · 0.7hash function · 0.7
YearPublicationVenuePosition
2023 CIA: A Collaborative Integrity Auditing Scheme for Cloud Data With Multi-Replica on Multi-Cloud Storage Providers
abstract
The emergence of cloud storage has solved many pain points of the traditional storage model. However, the issue of cloud storage data integrity - whether the cloud storage provider has kept the data intact - has raised concerns about cloud storage. Integrity auditing of cloud storage data allows users to know the integrity of the outsourced data without downloading it in its entirety. However it is not enough to know its integrity. Multi-replicas, as a common means of redundancy, improves the reliability of cloud storage data. And storing multi-replicas on multi-cloud storage providers (CSPs) enhances this feature. In a multi-replica multi-CSPs scenario, if the independence of CSPs is given full play and auditing is performed among CSPs, not only the introduction of third party auditor (TPA) can be eliminated, but also the tag generation, which is a huge computational overhead, can be removed. Inspired by this, in this paper we propose a new model for remote data integrity auditing: CIA (Collaborative Integrity Auditing). In addition to the reduction in computational overhead, the proposed scheme provides unprecedented support for free data blocking. The proposed scheme employs only hash functions in the calculation, which has a negligible computational overhead compared to the traditional bilinear pairing-based schemes. Theoretical analysis and experimental results show that the proposed scheme provides high efficiency and flexibility with security assurance, and can be used as a lightweight alternative to traditional remote data integrity auditing schemes in multi-replica multi-CSP scenarios.
Tengfei Li 0004, Jianfen Chu, Liang Hu 0001
IEEE Trans. Parallel Distributed Syst.2
2018 The maximum matching degree sifting algorithm for steganography pretreatment applied to IoT
Liang Hu 0001, Jianfen Chu, Ling Chi, Hongtu Li
Multim. Tools Appl.3
2016 The efficiency improved scheme for secure access control of digital video distribution
Liang Hu 0001, Yan Li 0061, Tengfei Li 0004, Hongtu Li, Jianfen Chu
Multim. Tools Appl.5
2013 Secure event signature protocol for peer-to-peer massive multiplayer online games using bilinear pairing
abstract
ABSTRACT With the development of the Internet, multiplayer online games are rapidly replacing the traditional single‐player games. The peer‐to‐peer architecture, which is suitable for massive multiplayer online games, is being considered as the replacement for traditional client–server architecture. Because the current solutions cannot prevent the cheating problems to gain unfair advantages in these games completely, we summarize the problems existing in some event signature protocols for peer‐to‐peer online games and propose a new secure event signature protocol. The security basis of the proposed protocol is the discrete logarithms and bilinear pairing. Our protocol provides higher security than some current protocols on secure event signature, although the efficiency of our protocol is lower than theirs. Copyright © 2012 John Wiley & Sons, Ltd.
Liang Hu 0001, Hongtu Li, Jianfen Chu
Secur. Commun. Networks4