With the rapid development and wide application of big data technology, users'
unauthorized access to resources becomes one of the main problems that restrict the secure …

Access control is one of the important technical means to achieve secure and controllable
big data, but the lack of relational data inevitably affects the completeness of relational …

Big data is massive and heterogeneous, along with the rapid increase in data quantity, and
the diversification of user access, traditional database, and access control methods can no …

For modern information systems, robust access control mechanisms are vital in
safeguarding data integrity and ensuring the entire system's security. This paper proposes a …

Dynamic access control of big data has received much attention in recent years because of
the characteristics of dynamic generation and multi-source aggregation of big data …

Context information is the key element to realizing dynamic access control of big data.
However, existing context-aware access control (CAAC) methods do not support automatic …

Access control technology is critical to the safe and reliable operation of information
systems. However, owing to the massive policy scale and number of access control entities …

In order to improve the prediction accuracy of the access network user behavior (ANUB), we
propose a novel density-ratio peak (DRP)-based semi-supervised algorithm. It first rescales …

In recent years, Online Social Network (OSN) has been rapidly evolving and attracted many
users. In OSN, users share sensitive information; therefore, effective access control models …

Next Point-of-Attachment (PoA) prediction is a deep learning-based approach to provide
seamless connectivity in the mobile networks from heterogenous and dense user access …