DeapSECURE – Data-Enabled Advanced Computational Training Platform for Cybersecurity Research and Education

Submission Number: 155
Submission ID: 3779
Submission UUID: 48031f1f-b50a-4b28-971c-30c16bde1419
Submission URI: /form/resource

Created: Fri, 06/16/2023 - 11:57
Completed: Fri, 06/16/2023 - 11:57
Changed: Thu, 03/14/2024 - 11:45

Remote IP address: 128.82.14.254
Submitted by: Wirawan Purwanto
Language: English

Is draft: No
Yes
DeapSECURE – Data-Enabled Advanced Computational Training Platform for Cybersecurity Research and Education
Learning
ai, deep-learning, machine-learning, neural-networks, visualization, big-data, data-analysis, jekyll, batch-jobs, slurm, bash, ssh, training, workforce-development, python, scikit-learn, cybersecurity
Beginner
DeapSECURE is a training program to infuse high-performance computational techniques into cybersecurity research and education. It is an NSF-funded project of the ODU School of Cybersecurity along with the Department of Electrical and Computer Engineering and the Information Technology Services at ODU. The DeapSECURE team has developed six non-degree training modules to expose cybersecurity students to advanced CI platforms and techniques rooted in big data, machine learning, neural networks, and high-performance programming. Techniques taught in DeapSECURE workshops are rather general and transferable to other areas including science, engineering, finance, linguistics, etc. All lesson materials are made available as open-source educational resources.
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