Submission information
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
Webform: Knowledge Base Resources
Approved: Yes
Title: DeapSECURE – Data-Enabled Advanced Computational Training Platform for Cybersecurity Research and Education
Category: Learning
Skill Level:
Beginner (304)
Description:
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.
Link to Resource:
- DeapSECURE lesson modules (https://deapsecure.gitlab.io/lessons/)
Tags:
ai (271), deep-learning (303), machine-learning (272), neural-networks (435), visualization (781), big-data (4), data-analysis (422), jekyll (491), batch-jobs (76), slurm (71), bash (242), ssh (78), training (381), workforce-development (337), python (69), scikit-learn (273), cybersecurity (86)
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