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Blockchain-Based Distributed Energy Trading in Energy Internet: An SDN Approach
(
Institute of Electrical and Electronics Engineers Inc.
, 2019 , Article)
The new network paradigm of Software Defined Networking (SDN) has been widely adopted. Due to its inherent advantages, SDN has been widely used in various network fields such as data centers, WAN, enterprise, Optical ...
Secure data access for wireless body sensor networks
(
Institute of Electrical and Electronics Engineers Inc.
, 2016 , Conference Paper)
Recently, with the support of mobile cloud computing, large number of health-related data collected from various body sensor networks can be managed efficiently. However, it is an important and challenging issue to keep ...
A Practical Cross Device Federated Learning Frame-work over 5G N etworks
(
Institute of Electrical and Electronics Engineers Inc.
, 2022 , Article)
The concept of federated learning (FL) was first proposed by Google in 2016. Thereafter, FL has been widely studied for the feasibility of application in various fields due to its potential to make full use of data without ...
Secure Data Access Control with Fair Accountability in Smart Grid Data Sharing: An Edge Blockchain Approach
(
Institute of Electrical and Electronics Engineers Inc.
, 2021 , Article)
Nowadays, the advance of smart grid technology has fostered the development of microgrids, which can efficiently control and manage the distributed energy resources (DERs). In smart grid, IoT devices generate huge amounts ...
A sentence-level text adversarial attack algorithm against IIoT based smart grid
(
Elsevier B.V.
, 2021 , Article)
With the development of data processing technologies, efficiency of information processing in the Industrial Internet of Things (IIoT) is greatly improved. In this situation solving the following security problems of the ...
BPFL: A Blockchain Based Privacy-Preserving Federated Learning Scheme
(
Institute of Electrical and Electronics Engineers Inc.
, 2021 , Conference Paper)
Federated Learning (FL), which allows multiple participants to co-train machine Learning models without exposing local data, has been recognized as a promising method in the past few years. However, in the FL process, the ...
An optimizing and differentially private clustering algorithm for mixed data in SDN-based smart grid
(
Institute of Electrical and Electronics Engineers Inc.
, 2019 , Article)
Software-defined network (SDN) is widely used in smart grid for monitoring and managing the communication network. Big data analytics for SDN-based smart grid has got increasing attention. It is a promising approach to use ...
Autonomous and Privacy-preserving Energy Trading Based on Redactable Blockchain in Smart Grid
(
Institute of Electrical and Electronics Engineers Inc.
, 2020 , Conference Paper)
With the development of information and communication technologies in smart grid, peer-to-peer (P2P) energy trading for distributed energy resources (DER) has achieved an efficient two-way flow of information and power. ...
A Differentially Private Big Data Nonparametric Bayesian Clustering Algorithm in Smart Grid
(
IEEE Computer Society
, 2020 , Article)
Smart systems, including smart grid (SG) and Internet of Things (IoT), have been playing a critical role in addressing contemporary issues. Taking full advantage of the big data generated by the smart grid can enhance the ...
A Lightweight Attribute Based Encryption Scheme with Constant Size Ciphertext for Internet of Things
(
Institute of Electrical and Electronics Engineers Inc.
, 2020 , Conference Paper)
The Internet of Things technology has been used in a wide range of fields, ranging from industrial applications to individual lives. As a result, a massive amount of sensitive data is generated and transmitted by IoT ...