Jian Fu
Current Organizations / Institutes
The organizations/institutes from the scholar's latest article
Research Subjects
Jian Fu has a total of 15 co-authors. Here are the top co-authors by number of shared publications:
- Yi Wang
Manhattan College
6 shared publications - Bingyang Wei
Texas Christian University
2 shared publications - Anik Rashid
Department of Electrical and Computer Engineering, Manhattan College, Riverdale, NY 10471, USA
1 shared publication - Chance Glenn
College of Engineering, Technology, and Physical Sciences, Alabama A & M University, Normal, USA
1 shared publication Dongsheng Wu
Department of Mathematical Sciences, University of Alabama in Huntsville, Huntsville, AL 35899, USA
1 shared publication- Ed Pearson
Alabama A & M University
1 shared publication
Latest Publications
- 26 March 2025
- Published by Springer Nature
- p. 127-153
Applying Artificial Color Method to Hyperspectral Image Analysis
- 26 March 2025
- Published by Springer Nature
- p. 127-153
Applying Artificial Color Method to Hyperspectral Image Analysis
- 1 December 2023
- Published by Springer Nature
- p. 305-325
Computational Intelligence in Smart Cities and Smart Energy Systems
- 1 December 2023
- Published by Springer Nature
- p. 305-325
Computational Intelligence in Smart Cities and Smart Energy Systems
- Open Access
A Systematic Comparison between the Ethereum and Hyperledger Fabric Blockchain Platforms for Attribute-Based Access Control in Smart Home IoT Environments
Despite the lack of blockchain systems being utilized in modern IoT environments, the prevalence of blockchain technology is increasing, due to its high level of security and accountability. The integration of blockchain technology and access control in a decentralized system for smart home networks is a promising solution to this issue. This paper compares the implementation of attribute-based access control (ABAC) with two popular blockchain platforms, Ethereum and Hyperledger Fabric, for a smart home internet of things (IoT) environment. We present a comprehensive summary of access-control and blockchain-access-control methods, to provide the necessary background for this study. Additionally, we present an original ABAC smart contract for Ethereum, and the modification of a pre-existing Hyperledger Fabric ABAC smart contract, for this comparison. Through the simulation of both implementations, the advantages and limitations will be considered, to determine which is better suited for a smart home IoT environment.
Open AccessA Systematic Comparison between the Ethereum and Hyperledger Fabric Blockchain Platforms for Attribute-Based Access Control in Smart Home IoT Environments
Despite the lack of blockchain systems being utilized in modern IoT environments, the prevalence of blockchain technology is increasing, due to its high level of security and accountability. The integration of blockchain technology and access control in a decentralized system for smart home networks is a promising solution to this issue. This paper compares the implementation of attribute-based access control (ABAC) with two popular blockchain platforms, Ethereum and Hyperledger Fabric, for a smart home internet of things (IoT) environment. We present a comprehensive summary of access-control and blockchain-access-control methods, to provide the necessary background for this study. Additionally, we present an original ABAC smart contract for Ethereum, and the modification of a pre-existing Hyperledger Fabric ABAC smart contract, for this comparison. Through the simulation of both implementations, the advantages and limitations will be considered, to determine which is better suited for a smart home IoT environment.
- 21 June 2020
- Published by Springer Nature in Journal of Ambient Intelligence and Humanized Computing
- Vol. 13 (7) , 3669-3681
Human activity recognition in smart environments employing margin setting algorithm
- 21 June 2020
- Published by Springer Nature in Journal of Ambient Intelligence and Humanized Computing
- Vol. 13 (7) , 3669-3681
Human activity recognition in smart environments employing margin setting algorithm
- 15 June 2020
- Published by Springer Nature in Pattern Analysis and Applications
- Vol. 23 (4) , 1677-1688
Margin setting algorithm for pattern classification via spheres
- 15 June 2020
- Published by Springer Nature in Pattern Analysis and Applications
- Vol. 23 (4) , 1677-1688
Margin setting algorithm for pattern classification via spheres
- 20 November 2019
- Published by Springer Nature in SN Applied Sciences
- Vol. 1 (12) , 1-12
A novel parallel learning algorithm for pattern classification
- 20 November 2019
- Published by Springer Nature in SN Applied Sciences
- Vol. 1 (12) , 1-12
A novel parallel learning algorithm for pattern classification
- 3 August 2013
- Published by Springer Nature in International Journal of Machine Learning and Cybernetics
- Vol. 5 (6) , 963-970
Primitive attempt to turn images into percepts
- 3 August 2013
- Published by Springer Nature in International Journal of Machine Learning and Cybernetics
- Vol. 5 (6) , 963-970
Primitive attempt to turn images into percepts
- 2 January 2010
- Published by Elsevier in Information Sciences
- Vol. 180 (1) , 167-180
Fuzzy Aggregation with Artificial Color filters
- 2 January 2010
- Published by Elsevier in Information Sciences
- Vol. 180 (1) , 167-180
Fuzzy Aggregation with Artificial Color filters