Call for Participation

FloCon focuses on applying any and all collected data to defend enterprise networks. We now collect enormous amounts of data from our networks—at endpoints, on the wire, and in the cloud. How can we apply the power of scalable analytics to this large-scale data to protect our systems from cyber threats—both internal and external? FloCon 2024’s theme, Situational Awareness: Beyond the Network, focuses on using these analytics to safeguard organizations and networks.

Abstracts for presentations, posters, and demonstrations must describe the theory, creation, implementation, and/or operational use of data analysis in support of security operations for networked systems. Ideally, participants will leave your presentation with new insights they can put into practice right away, code you’ve shared from a successful project, or new analytics they can implement.

Submit Abstract

Abstracts Due
August 18, 2023

Details

Abstracts should explore large-scale, next-generation data analytics for cyber security operations. We are seeking submissions related to academic and practical advances in analytics that utilize one or more data types and include the automation of well-known or novel techniques.

Your final presentation, poster, or demonstration must contain sufficient detail to illustrate the analysis conceptually.

Guidelines

Use the online form to submit an abstract of 250-500 words that describes your entry, along with the type of entry (i.e., presentation, poster, or demonstration).

Abstracts will be reviewed and accepted on a first-come, first-served basis.

Questions?

If you have questions or comments about submitting FloCon abstracts, email us at flocontact@cert.org.

Submission Topics

Possible topics for FloCon presentations, posters, and demonstrations include (but are not limited to)

Using automated decision support
Modeling for network defense
Dealing with false positives and negatives
Using CSIRT data for 2024 and beyond
Working with network defense and encrypted traffic
Integrating data from multiple sources (data fusion)
Breaking down and optimizing analyst workflow
Employing scalable statistical techniques
Exploring case studies in threat detection and mitigation
Applying operational data visualization and visual display techniques
Exploring new techniques derived from new data sources
Modeling networks for threat detection
Improving security data operations by fusing network data with biometric, forensic, and physical security data
Applying big data analytics and visualization techniques to security data analysis