A knowledge graph empowered online learning framework for access control decision-making
Abstract Knowledge graph, as an extension of graph data structure, is being used in a wide
range of areas as it can store interrelated data and reveal interlinked relationships between …
range of areas as it can store interrelated data and reveal interlinked relationships between …
Improving accessibility of the Australian My Health Records while preserving privacy and security of the system
P Vimalachandran, H Liu, Y Lin, K Ji, H Wang… - … Information Science and …, 2020 - Springer
Abstract Australian My Health Record (MyHR) is a significant development in empowering
patients, allowing them to access their summarised health information themselves and to …
patients, allowing them to access their summarised health information themselves and to …
Hierarchical adaptive evolution framework for privacy-preserving data publishing
The growing need for data publication and the escalating concerns regarding data privacy
have led to a surge in interest in Privacy-Preserving Data Publishing (PPDP) across …
have led to a surge in interest in Privacy-Preserving Data Publishing (PPDP) across …
A minority class boosted framework for adaptive access control decision-making
Access control is an effective way to prevent data exfiltration from insiders. Recently,
machine learning algorithms have been widely used in access control decision-making …
machine learning algorithms have been widely used in access control decision-making …
Elastic optimization for stragglers in edge federated learning
To fully exploit enormous data generated by intelligent devices in edge computing, edge
federated learning (EFL) is envisioned as a promising solution. The distributed collaborative …
federated learning (EFL) is envisioned as a promising solution. The distributed collaborative …
Privacy-preserving data publishing: an information-driven distributed genetic algorithm
The privacy-preserving data publishing (PPDP) problem has gained substantial attention
from research communities, industries, and governments due to the increasing requirements …
from research communities, industries, and governments due to the increasing requirements …
An information-driven genetic algorithm for privacy-preserving data publishing
Due to the expanding requirements for data publishing and growing concerns regarding
data privacy, the privacy-preserving data publishing (PPDP) problem has received …
data privacy, the privacy-preserving data publishing (PPDP) problem has received …
A study of tourist sequential activity pattern through location based social network (LBSN)
A Talpur, Y Zhang - 2018 International Conference on Orange …, 2018 - ieeexplore.ieee.org
Sequential Pattern Mining (SPM) is an important component in establishing patterns and
mining trends of certain activities. In the past, this technique has been used in various fields …
mining trends of certain activities. In the past, this technique has been used in various fields …
Comparative study of symmetric cryptographic algorithms
A Nurgaliyev, H Wang - 2021 International Conference on …, 2021 - ieeexplore.ieee.org
This article provides an unbiased comparison of the most popular and commonly used
algorithms in the field of data encryption. The capacity to secure data from various attacks …
algorithms in the field of data encryption. The capacity to secure data from various attacks …