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Position Papers for the ASCR Workshop on Cybersecurity and Privacy for Scientific Computing Ecosystems

Technical Report ·
DOI:https://doi.org/10.2172/1843573· OSTI ID:1843573
 [1];  [2];  [3];  [4];  [5];  [6];  [7];  [2];  [8];  [9]
  1. Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States)
  2. Pacific Northwest National Lab. (PNNL), Richland, WA (United States)
  3. Los Alamos National Lab. (LANL), Los Alamos, NM (United States)
  4. Tennessee Technological Univ., Cookeville, TN (United States)
  5. Massachusetts Inst. of Technology (MIT), Lexington, MA (United States). Lincoln Lab.
  6. Argonne National Lab. (ANL), Argonne, IL (United States)
  7. Lawrence Livermore National Lab. (LLNL), Livermore, CA (United States)
  8. Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States)
  9. Sandia National Laboratories (SNL), Albuquerque, NM, and Livermore, CA (United States)
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At the request of the Department of Energy's (DOE) Office of Advanced Scientific Computing Research (ASCR), this program committee has been tasked with organizing a workshop to identify basic research needs in cybersecurity and privacy to better support DOE's science and energy mission. As part of the process, the program committee is soliciting community input in the form of position papers to help identify significant use cases, facility issues, and other barriers to enabling verifiably trustworthy computational science while preserving data confidentiality as appropriate for scientific workflows of interest to DOE. The program committee will review these position papers and based on the fit of their area of expertise and interest, selected contributors will have the opportunity to participate in the workshop currently planned as a virtual event November 3-5th, 2021. The thrust areas that will be explored by this workshop are the following: (1) Algorithms for secure, scalable, privacy-enhancing technologies and frameworks, including: Federated AI/ML, Differential privacy, Randomized algorithms, Adversarial modeling & simulation, Graph algorithms, and Formal methods; (2) Platforms to support the entire scientific-computing ecosystem, including edge computing for large-scale experiments, focusing on heterogeneous systems and distributed systems, including: Heterogeneous computing systems, Distributed computing systems, and Secure data architectures; and (3) Data workflows to allow agile use of data while preserving integrity and privacy, making the important properties verifiable either at runtime or post-computation, including: Integrity and provenance and Data management infrastructure. Topics that are out-of-scope for the workshop include discussing specific proposed solutions or areas that are clearly out of DOE's fundamental and applied-sciences mission scope, e.g., cryptography, enterprise security, and general-operations technology.

Research Organization:
US Department of Energy (USDOE), Washington DC (United States). Office of Science
Sponsoring Organization:
USDOE Office of Science (SC), Advanced Scientific Computing Research (ASCR)
OSTI ID:
1843573
Country of Publication:
United States
Language:
English

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Related Subjects

97 MATHEMATICS AND COMPUTING