SPECIAL ISSUE on Big Data Applications and Techniques in Cyber Intelligence

GUEST EDITORS

Zheng Xu, Shanghai Polytechnic University, China (Lead GE)
Neil Y. Yen, University of Aizu, Japan
Vijayan Sugumaran, Oakland University, USA

DEADLINE

The deadline for submissions is MAY 1, 2023, but individual papers will be reviewed and published online on an ongoing basis.

DESCRIPTION

This special issue in OPEN COMPUTER SCIENCE focuses on the Big Data Applications and Techniques in Cyber Intelligence
The development of big data needs to rely on cyber intelligence technology because it uses many theories and methods of cyber intelligence. Furthermore, it has achieved certain results. The value of big data as an infrastructure of cyber intelligence is about to usher in a long-term development opportunity. On the other hand, solving the problem of scalability and growth of cyber intelligence cannot be done without big data technology. The development of cyber intelligence also needs to rely on the environment and technology support of big data. It is necessary for cyber intelligence, just like human beings, to have a lot of knowledge and rich experience; behind this knowledge and experience is the need for a large number of data support. The development of cyber intelligence and big data will push each other to form an effective mutual promotion effect. Therefore, the development of cyber intelligence relies on big data, in the meanwhile; big data also open a new chapter for cyber intelligence. Humans will develop intelligent technology under a new perspective of the mechanism, thinking, and environment of big data.
This special issue focuses on the theory, methods, and creative solutions of cyber intelligence and big data. Topics of interest include but are not limited to the following:
- Data acquisition and preprocessing technology
- Intelligent computing, data mining methods, and algorithms
- Big data system solutions and tools platform
- Cyber intelligence theory and application
- Intelligent control and intelligent management
- Knowledge science and knowledge engineering
- Cyber intelligence technology for big data
- Tracing real Internet attackers through information correlation
- Intrusion detection
- Malware detection
- Anomaly behavior analytics
- Blockchain
- Blockchain and Big Data
- forecasting utilizing big data
- threat indicators in massive data sets
- threat casting using bag data
- operational situation awareness utilizing big data-driven intelligence

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