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A list of all the posts and pages found on the site. For you robots out there is an XML version available for digesting as well.
Pages
DeapSECURE -- Data Enabled Advanced Training Platform for Cybersecurity Research and Education
About the DeapSECURE training project
DeapSECURE -- Acknowledgments
Acknowledgments for people, communities and institutions who have made contribution to the DeapSECURE project
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DeapSECURE Workshops and Institutes
About the DeapSECURE Workshops and Institutes
Posts
2023 DeapSECURE Summer Institute
Published:
The DeapSECURE workshop series is a hands-on training on high-performance computational techniques emphasizing applications to cybersecurity research. We are excited to announce the Summer 2023 in-person DeapSECURE Workshop covering the topics of High-Performance Computing, Big Data, Machine Learning and Neural Networks for cybersecurity. We will conduct the workshop in-person. Come and join us, get your hands dirty while learning to use a supercomputer to address challenging cybersecurity research! Techniques taught in DeapSECURE workshops are rather general and transferable to other areas including science, engineering, finance, linguistics, etc. (Why Cybersecurity?)
Open-Source Release of the DeapSECURE ‘Machine Learning’ and ‘Deep Learning’ Lesson Modules to the Community
Published:
The DeapSECURE team is excited to announce the open source release of the “Machine Learning” and “Deep Learning” lesson to the community!
Open-Source Release of the DeapSECURE ‘Big Data’ Lesson Module to the Community
Published:
The DeapSECURE team is excited to announce the open source release of the “Big Data” lesson to the community!
Fall 2021 Virtual DeapSECURE Workshop
Published:
Workshop Date/Time: Friday, November 19, 2021, 1:00pm - 4:00pm
Crash Course on Python
Published:
Python programming language will be used for the most parts of the DeapSECURE training program. We used to include a brief intro to Python during [one of the Fall workshops][deapsecure-lesson05-crypt]. However, we strongly encourage you to become familiar with Python for many good reasons. It is one of the most popular and easiest programming languages to learn. It is also used by many leading companies, government, and scientific research groups worldwide. Python programming is one of the most marketable skills today.
lessons
Module 1: Introduction to HPC
Introduction to high-performance computing on a Linux cluster: UNIX shell interaction, SLURM job scheduler, parallel job launch. (Lesson site)
Module 2: Dealing with Big Data
Introduction to Pandas, a powerful data processing framework capable of handling large amounts of data in an efficient manner. (Lesson site)
Module 3: Machine Learning
Machine learning is an approach to program a computer to perform certain intelligent tasks without being explicitly programmed to do so. (Lesson site)
Module 4: Deep Learning Using Neural Networks
Neural network is a powerful approach to machine learning that can yield extremely high accuracy on complex cognitive tasks. (Lesson site)
Module 5: Cryptography for Privacy-Preserving Computation
Homomorphic encryption enables untrusted parties to perform computation while preserving the privacy of sensitive data (Lesson site)
Module 6: Parallel and High-Performance Computing
Tightly coupled calculations can be efficiently parallelized using industry-standard MPI and OpenMP programming models. (Lesson site)
portfolio
Portfolio item number 1
Short description of portfolio item number 1
Portfolio item number 2
Short description of portfolio item number 2
publications
DeapSECURE: Empowering Students for Data- and Compute-Intensive Research in Cybersecurity through Training
Published in ACM Proceedings of PEARC'19: Practice and Experience in Advanced Research Computing on Rise of the Machines (learning), 2009
A brief overview of the DeapSECURE training program.
Recommended citation: W. Purwanto, H. Wu, M. Sosonkina, and K. Arcaute. (2019). "DeapSECURE: Empowering Students for Data- and Compute-Intensive Research in Cybersecurity through Training." ACM Proceedings of PEARC'19. 81:1 - 81:8. DOI: 10.1145/3332186.3332247 . https://dl.acm.org/citation.cfm?id=3332247
DeapSECURE Computational Training for Cybersecurity Students: Improvements, Mid-Stage Evaluation, and Lessons Learned
Published in Journal of Computational Science Education, 2021
Updates and improvements to the DeapSECURE training program in its second year.
Recommended citation: W. Purwanto, Y. He, J. Ossom, Q. Zhang, L. Zhu, K. Arcaute, M. Sosonkina, and H. Wu (2021). "DeapSECURE Computational Training for Cybersecurity Students: Improvements, Mid-Stage Evaluation, and Lessons Learned" J. Comput. Sci. Educ.. 12 (1):3-10. DOI: 10.22369/issn.2153-4136/12/2/1 . http://www.jocse.org/articles/12/2/1/
DeapSECURE Computational Training for Cybersecurity: Third-Year Improvements and Impacts
Published in MODSIM World 2022, 2022
Detailed account of the DeapSECURE’s retooling and full conversion for fully online delivery in 2020-2021; assessment of online workshops in comparison to in-person delivery.
Recommended citation: B. Dodge, J. Strother, R. Asiamah, K. Arcaute, W. Purwanto, M. Sosonkina, and H. Wu (2022). "DeapSECURE Computational Training for Cybersecurity: Third Year Improvements and Impacts" Presented at the MODSIM World 2022 Conference, Norfolk, Virginia, 2022-05-11. https://www.modsimworld.org/papers/2022/MSVSCC_2022_InfrastructureSecurityMilitary.pdf
DeapSECURE Computational Training for Cybersecurity: Progress Toward Widespread Community Adoption
Published in Ninth SC Workshop on Best Practices for HPC Training and Education (BPHTE'22), 2022
Full conversion of the DeapSECURE training program to online delivery in its third year; lessons learned from online vs in-person workshop; open-source release of the lessons for community adoption.
Recommended citation: W. Purwanto, B. Dodge, K. Arcaute, M. Sosonkina, and H. Wu (2022). "DeapSECURE Computational Training for Cybersecurity Students: Improvements, Mid-Stage Evaluation, and Lessons Learned." Presented at the Ninth SC Workshop on Best Practices for HPC Training and Education (BPHTE'22), Dallas, Texas, 2022-11-14. This paper will be published in the Journal of Computational Science Education. https://sc22.supercomputing.org/presentation/?id=ws_bphpcte107&sess=sess440
talks
Talk 1 on Relevant Topic in Your Field
Published:
This is a description of your talk, which is a markdown files that can be all markdown-ified like any other post. Yay markdown!
Conference Proceeding talk 3 on Relevant Topic in Your Field
Published:
This is a description of your conference proceedings talk, note the different field in type. You can put anything in this field.
teaching
Teaching experience 1
Undergraduate course, University 1, Department, 2014
This is a description of a teaching experience. You can use markdown like any other post.
Teaching experience 2
Workshop, University 1, Department, 2015
This is a description of a teaching experience. You can use markdown like any other post.