Citation

Khan @ Khin Hnin Oo, Shereen and Tan, Olivia Swee Leng and Khan @ Thandar Oo, Nasreen and Ng, Kok Why and Tan, Swee Wei (2022) Data Analytic for Cyber Security: A Review of Current Framework Solutions, Challenges and Trends. The Eurasia Proceedings of Science Technology Engineering and Mathematics, 18. pp. 1-6. ISSN 2602-3199

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Abstract

In context of technology, cybersecurity has seen vital technological and operational developments in recent years, with information science at the forefront of the revolution. The key in creating a complicated and automatic security system is extracting network activity patterns or cybersecurity information insights and constructing an identical data-driven model. The applying of a spread of scientific methodology, machine learning techniques, processes, and systems; information science is to grasp and analyse actual occurrences with information. During this analysis, the researchers consider and in short justify cybersecurity information science, during which information is obtained from relevant cybersecurity sources as well as legislations and analytics are wont to supplement the most recent data-driven trends to supply more practical security solutions. The paradigm of cybersecurity information science, in distinction to standard cybersecurity computing techniques, permits for more practical and complex computing. Researchers check and highlight variety of connected analysis topics and future directions. Additionally, researchers propose a multi-layered framework for cybersecurity modelling. Overall the target is to target the connection of data-driven deciding framework model for safeguarding systems from cyber-attacks, instead of simply discussing cybersecurity information science and applicable approaches.

Item Type:	Article
Uncontrolled Keywords:	Cyber security, cybercrime, data analytic, legislations
Subjects:	Q Science > QA Mathematics > QA71-90 Instruments and machines > QA75.5-76.95 Electronic computers. Computer science
Divisions:	Faculty of Management (FOM)
Depositing User:	Ms Nurul Iqtiani Ahmad
Date Deposited:	07 Mar 2023 02:25
Last Modified:	07 Mar 2023 02:25
URII:	http://shdl.mmu.edu.my/id/eprint/11210

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