Zeek and Jupyter Full-Day Security Training at the 2023 NSF Summit

This year the Summit is pleased to partner with Zeek and Project Jupyter to offer full-day training and a workshop on Monday October 23, 2023. 

Zeek, an open source network security monitoring tool, will offer two full-day training sessions. “Hands-on Zeek Scripting” will walk attendees through the fundamentals of Zeek Scripting along with some practical exercises. “Intermediate to Zeek” will teach attendees how to set up their own Zeek cluster deployments in production together with all the cluster components and the new Zeek management framework.

Project Jupyter is an open-source project sponsored by the non-profit NumFOCUS,  that supports interactive data science and scientific computing. The “Jupyter Security Workshop” will expand on the current Jupyter security practices by focusing on the following near- and long-term goals: 

• Bring together people interested in contributing to security in Jupyter.
• A white paper on “Jupyter Security Best Practices”.
• Summarizing Jupyter development practices that target security.
• Recommendations for security governance within the Project Jupyter governance model.
• Based on any security gaps in documentation, software, processes, or other areas, identify potential support mechanisms to address them.

All of these sessions will only be offered in-person. There is not a remote participation option and the sessions will not be recorded. More information on these and all of the Summit sessions can be found here.

Due to LBNL site access requirements, in-person registration is required by September 29.  The registration cut-off for inclusion in the Hotel Shattuck room block with the reduced rate is 5:00pm PST on Friday, September 22, 2023. 

Trusted CI Webinar: Improving the Privacy and Security of Data for Wastewater-based Epidemiology, Sept. 25th @ 11am ET

Arizona State University's Ni Trieu is presenting the talk, Improving the Privacy and Security of Data for Wastewater-based Epidemiology, on September 25th at 11am Eastern time.

Please register here.

As the use of wastewater for public health surveillance continues to expand, inevitably sample collection will move from centralized wastewater treatment plants to sample collection points within the sewer collection system to isolate individual neighborhoods and communities. Collecting data at this geospatial resolution will help identify variation in select biomarkers within neighborhoods, ultimately making the wastewater-derived data more actionable. However a challenge in achieving this is the nature of the wastewater collection system, which aggregates and commingles wastewater from various municipalities. Thus various stakeholders from different cities must collectively provide information to separate wastewater catchments to achieve neighborhood-specific public health information. Data sharing restrictions and the need for anonymity complicates this process.

This talk presents our approaches to enabling data privacy in wastewater-based epidemiology. Our methodology is built upon a cryptographic technique, Homomorphic Encryption (HE), ensuring privacy. Additionally, we outline a technique to enhance the performance of HE, which could be of independent interest.

Speaker Bio:

Ni Trieu is currently an Assistant Professor at Arizona State University (ASU). Her research interests lie in the area of cryptography and security, with a specific focus on secure computation and its applications such as private set intersection, private database queries, and privacy-preserving machine learning. Prior to joining ASU, she was a postdoc at UC Berkeley. She received her Ph.D. degree from Oregon State University.

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Join Trusted CI's announcements mailing list for information about upcoming events. To submit topics or requests to present, see our call for presentations. Archived presentations are available on our site under "Past Events."

Registration is open for the 2023 NSF Cybersecurity Summit!

Registration is open for the 2023 NSF Cybersecurity Summit! Please join us at the Lawrence Berkeley National Laboratory in Berkeley, CA from October 23-26. If you are unable to join in person, please register to join virtually instead. Attendees will include cybersecurity practitioners, technical leaders, and risk owners from within the NSF Major Facilities and CI community, as well as key stakeholders and thought leaders from the broader scientific and cybersecurity communities. The Summit provides a forum for National Science Foundation (NSF) funded scientists, researchers, cybersecurity, and cyberinfrastructure (CI) professionals, and stakeholders to develop a community and share best practices. The Summit will offer attendees training sessions and workshops with hands-on learning of security tools, security program development, and compliance for research. 

Due to site access requirements, registration is required by September 29.  Later registration cannot be accommodated.  Please register by September 29. 

Thank you on behalf of the Program and Organizing Committees. We look forward to seeing you there!