To be held in conjunction with the 2022 IEEE International Conference on Big Data (Big Data 2022), Dec 17-20, 2022 |
Security analysts need to 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 reduces an analyst’s cognitive load.
Big data crossing the organizational boundary even in mid-sized environments, need to be mined, examined, 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.
Important dates
- Oct 15, 2022: Due date for full workshop papers submission
- Nov 1, 2022: Notification of paper acceptance to authors
- Nov 20, 2022: Camera-ready of accepted papers
- Dec 17-20 2022: Workshops
Formatting details: