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The Relevance of Classic Fuzz Testing: Have We Solved This One?

https://doi.org/10.1109/TSE.2020.3047766

Miller, Barton P.; Zhang, Mengxiao; Heymann, Elisa R. (June 2022, IEEE Transactions on Software Engineering)

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Software Security for the People: Free and Open Resources for Software Security Training

https://doi.org/10.1109/MSEC.2022.3142336

Heymann, Elisa R.; Miller, Barton P. (March 2022, IEEE Security & Privacy)

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An In-Depth Security Assessment of Maritime Container Terminal Software Systems

https://doi.org/10.1109/ACCESS.2020.3008395

Eichenhofer, Joseph O.; Heymann, Elisa; Miller, Barton P.; Kang, Arnold (January 2020, IEEE Access)
Being the Developers’ Friend: Our Experience Developing a High-Precision Tool for Secure Coding

https://doi.org/10.1109/MSEC.2022.3159481

Yao, Danfeng Daphne; Rahaman, Sazzadur; Xiao, Ya; Afrose, Sharmin; Frantz, Miles; Tian, Ke; Meng, Na; Cifuentes, Cristina; Zhao, Yang; Allen, Nicholas; et al (November 2022, IEEE Security & Privacy)
Trusted CI Experiences in Cybersecurity and Service to Open Science

https://doi.org/10.1145/3332186.3340601

Adams, Andrew; Avila, Kay; Basney, Jim; Brunson, Dana; Cowles, Robert; Dopheide, Jeannette; Fleury, Terry; Heymann, Elisa; Hudson, Florence; Jackson, Craig; et al (January 2019, PEARC'19: Practice and Experience in Advanced Research Computing)

This article describes experiences and lessons learned from the Trusted CI project, funded by the US National Science Foundation (NSF) to serve the community as the NSF Cybersecurity Center of Excellence (CCoE). Trusted CI is an effort to address cybersecurity for the open science community through a single organization that provides leadership, training, consulting, and knowledge to that community. The article describes the experiences and lessons learned of Trusted CI regarding both cybersecurity for open science and managing the process of providing centralized services to a broad and diverse community.
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