A study of machine learning techniques for cybersecurity

CT Thanh - 2021 15th International Conference on Advanced …, 2021 - ieeexplore.ieee.org
Cybersecurity has recently seen enormous technological and operational transformations
with data science driving the transition. The key of building an automated and intelligent …

Cybersecurity data science: an overview from machine learning perspective

IH Sarker, ASM Kayes, S Badsha, H Alqahtani… - Journal of Big …, 2020 - Springer
In a computing context, cybersecurity is undergoing massive shifts in technology and its
operations in recent days, and data science is driving the change. Extracting security …

Data science methodology for cybersecurity projects

F Foroughi, P Luksch - arXiv preprint arXiv:1803.04219, 2018 - arxiv.org
Cyber-security solutions are traditionally static and signature-based. The traditional
solutions along with the use of analytic models, machine learning and big data could be …

Improving cyber security situational awareness and cyber-attack detection based on analytic data mining techniques

K Kwizera, L Zhaohui - 2021 6th international symposium on …, 2021 - ieeexplore.ieee.org
Detecting cyber-attacks have grown into big data trouble in daily life, there is a role for
supporting and raising cyber security standards in any organization. Firstly, a data frame is …

Necessity of data science for enhanced cybersecurity

SH Tewari - International Journal of Data Science and Big Data …, 2021 - papers.ssrn.com
In a computing context, cybersecurity is undergoing massive shifts in technology and its
operations in recent days, and data science is driving the change. Extracting security …

[图书][B] Cyber Security Intelligence and Analytics: 2021 International Conference on Cyber Security Intelligence and Analytics (CSIA2021), Volume 2

Z Xu, RM Parizi, O Loyola-González, X Zhang - 2021 - books.google.com
This book presents the outcomes of the 2021 International Conference on Cyber Security
Intelligence and Analytics (CSIA 2021), an international conference dedicated to promoting …

Data Analytics for Cyber Risk Analysis Utilizing Cyber Incident Datasets

M Portalatin, O Keskin, S Malneedi… - 2021 Systems and …, 2021 - ieeexplore.ieee.org
The imperative factors of cybersecurity within institutions have become prevalent due to the
rise of cyber-attacks. Cybercriminals strategically choose their targets and develop several …

Machine learning for intelligent data analysis and automation in cybersecurity: current and future prospects

IH Sarker - Annals of Data Science, 2023 - Springer
Due to the digitization and Internet of Things revolutions, the present electronic world has a
wealth of cybersecurity data. Efficiently resolving cyber anomalies and attacks is becoming a …

Data Science and Its Application in Cyber Security (Cyber Security Data Science)

SH Tewari - Data Science in Cyber Security and cyber threat …, 2020 - papers.ssrn.com
In a computing context, cybersecurity is undergoing massive shifts in technology and its
operations in recent days, and data science is driving the change. Extracting security …

Towards Data Science for Cybersecurity: Machine Learning Advances as Glowing Perspective

MI Mihailescu, SL Nita - Proceedings of SAI Intelligent Systems …, 2022 - Springer
The current computing context has developed important opportunities and challenges by the
new attacks that occurred recently due to the pandemic situation (COVID-19), cybersecurity …