DEAPSECURE COMPUTATIONAL TRAINING FOR CYBERSECURITY: THIRD-YEAR IMPROVEMENTS AND IMPACTS
DEAPSECURE COMPUTATIONAL TRAINING FOR CYBERSECURITY: THIRD-YEAR IMPROVEMENTS AND IMPACTS
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网络安全 DEAPSECURE 计算培训：第三年的改进和影响
DOI：
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发表时间：
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期刊：
影响因子：
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通讯作者：
Hongyi Wu
中科院分区：
文献类型：
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作者：
Bahador Dodge;Jacob Strother;Rosby Asiamah;K. Arcaute;Wirawan Purwanto;M. Sosonkina;Hongyi Wu
2018年推出的网络安全研究和教育数据支持高级培训计划（DeapSECURE）是一项非学位培训，由六个模块组成，涵盖广泛的网络基础设施技术，包括高性能计算，大数据，机器学习和高级密码学，旨在缩小当前网络安全课程与高级研究和工业项目所需要求之间的差距。到了第三年，DeapSECURE和许多其他教育事业一样，经历了COVID-19大流行带来的突然变化。培训必须重新调整，以适应完全在线提供。实践活动被重新格式化，以适应自定进度的学习。在本文中，我们描述和评估该项目的第三和第四年，并将其与该项目的上半年进行比较，该项目实施了亲自指导。我们还指出了重大改进，并为该培训计划提供了未来的机会，以推进网络安全领域。
The Data-Enabled Advanced Training Program for Cybersecurity Research and Education (DeapSECURE) was introduced in 2018 as a non-degree training consisting of six modules covering a broad range of cyber-infrastructure techniques, including high performance computing, big data, machine learning and advanced cryptography, aimed at reducing the gap between current cybersecurity curricula and requirements needed for advanced research and industrial projects. By its third year, DeapSECURE, like many other educational endeavors, experienced abrupt changes brought by the COVID-19 pandemic. The training had to be retooled to adapt to fully online delivery. Hands-on activities were reformatted to accommodate self-paced learning. In this paper, we describe and assess the third and fourth years of the project and compare them with the first half of the project, which implemented in-person instruction. We also indicate major improvements and present future opportunities for this training program to advance the cybersecurity field.
DeapSECURE：通过培训帮助学生进行网络安全方面的数据和计算密集型研究
DOI：
10.1145/3332186.3332247
发表时间：
2019
期刊：
Proceedings of ACM Practical Experience in Advanced Research Computing Conference (PEARC’19
影响因子：
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作者：
Purwanto, Wirawan;Wu, Hongyi;Sosonkina, Masha;Arcaute, Karina
通讯作者：
Arcaute, Karina