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 …
solutions along with the use of analytic models, machine learning and big data could be …
[PDF][PDF] DATA SCIENCE METHODOLOGY FOR CYBERSECURITY PROJECTS
F Foroughi, P Luksch - researchgate.net
Cybersecurity solutions are traditionally static and signature-based. The traditional solutions
along with the use of analytic models, machine learning and big data could be improved by …
along with the use of analytic models, machine learning and big data could be improved by …
[PDF][PDF] DATA SCIENCE METHODOLOGY FOR CYBERSECURITY PROJECTS
F Foroughi, P Luksch - academia.edu
Cybersecurity solutions are traditionally static and signature-based. The traditional solutions
along with the use of analytic models, machine learning and big data could be improved by …
along with the use of analytic models, machine learning and big data could be improved by …
[PDF][PDF] DATA SCIENCE METHODOLOGY FOR CYBERSECURITY PROJECTS
F Foroughi, P Luksch - csitcp.com
Cybersecurity solutions are traditionally static and signature-based. The traditional solutions
along with the use of analytic models, machine learning and big data could be improved by …
along with the use of analytic models, machine learning and big data could be improved by …
[PDF][PDF] DATA SCIENCE METHODOLOGY FOR CYBERSECURITY PROJECTS
F Foroughi, P Luksch - airccj.org
Cybersecurity solutions are traditionally static and signature-based. The traditional solutions
along with the use of analytic models, machine learning and big data could be improved by …
along with the use of analytic models, machine learning and big data could be improved by …
[PDF][PDF] DATA SCIENCE METHODOLOGY FOR CYBERSECURITY PROJECTS
F Foroughi, P Luksch - csitcp.com
Cybersecurity solutions are traditionally static and signature-based. The traditional solutions
along with the use of analytic models, machine learning and big data could be improved by …
along with the use of analytic models, machine learning and big data could be improved by …
Data Science Methodology for Cybersecurity Projects
F Foroughi, P Luksch - arXiv e-prints, 2018 - ui.adsabs.harvard.edu
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 …
solutions along with the use of analytic models, machine learning and big data could be …
[PDF][PDF] DATA SCIENCE METHODOLOGY FOR CYBERSECURITY PROJECTS
F Foroughi, P Luksch - researchgate.net
Cybersecurity solutions are traditionally static and signature-based. The traditional solutions
along with the use of analytic models, machine learning and big data could be improved by …
along with the use of analytic models, machine learning and big data could be improved by …
Data Science Methodology for Cybersecurity Projects
F Foroughi, P Luksch - CS & IT Conference Proceedings, 2018 - csitcp.com
Cybersecurity solutions are traditionally static and signature-based. The traditional solutions
along with the use of analytic models, machine learning and big data could be improved by …
along with the use of analytic models, machine learning and big data could be improved by …
[PDF][PDF] DATA SCIENCE METHODOLOGY FOR CYBERSECURITY PROJECTS
F Foroughi, P Luksch - airccj.org
Cybersecurity solutions are traditionally static and signature-based. The traditional solutions
along with the use of analytic models, machine learning and big data could be improved by …
along with the use of analytic models, machine learning and big data could be improved by …