Big Cyber – 2023

Held in conjunction with the 2023 IEEE International Conference on Big Data (Big Data 2023), Dec 15-18, 2023

Security analysts must process high velocity and veracious data for early, ideally left of an exploit, detection of cybersecurity events, such as attacks, data-theft, etc. The problem is challenging, given the constantly evolving threat landscape. Even with advanced monitoring, sophisticated persistent attackers can spend as many as 146 days in a system before being detected. Existing systems’ lack of unified organizational view causes information flooding and overwhelms a security analyst with false alarms. We need techniques that reduce an analyst’s cognitive load.

Even in mid-sized environments, big data crossing the organizational boundary need to be mined, examined, and analyzed to create ‘Analyst Augmentation Systems’, which will aid security analysts in their day-to-day operations.

This workshop aims to bring together researchers from Cybersecurity and Big Data to help further homeland security’s missions of anticipation, interdiction, prevention, preparedness, and response. We invite submissions in areas (but not limited to) related to knowledge extraction from cybersecurity intelligence big datasets, fast analysis of security datasets for relevant information, and using this knowledge for various cybersecurity activities like early attack detection, mitigation, remediation, and forensics.

Workshop Schedule

Bigcyber 2023 Workshop Schedule

Workshop Chairs

Chair: Karuna P Joshi, UMBC Site Director of CARTA I/UCRC, Associate Professor, University of Maryland Baltimore County, USA.

Co-chairs: Sudip Mittal, Assistant Professor, Mississippi State University, USA.
Rajeev Agrawal, Data Scientist, Assistant Secretary of the Army (Acquisition, Logistics, and Technology).

PC Chair: Lavanya Elluri, Assistant Professor, Texas A&M University-Central Texas, USA.

Program Committee Members

We plan to have a program committee of cybersecurity experts and researchers from throughout the globe, including

  •  Wenjia Li, Associate Professor, New York Institute of Technology, USA
  • Maanak Gupta, Assistant Professor, Tennessee Technological University, USA
  • Sandeep Nair Narayanan, CISCO
  • Sreenivasan Ramasamy Ramamurthy, Assistant Professor, Bowie State University, USA
  • Claudia Pearce, University of Maryland Baltimore County, USA
  • Varun Mandalapu, Mutual of Omaha, USA
  • Deepthi Gupta, University of Texas, San Antonio, USA
  • Redwan Walid, University of Maryland Baltimore County, USA
  • Dae-young Kim, University of Maryland, Baltimore County, USA