WIPP - Towards a Delay-Sensitive Provenance Framework for Operational Technology Networks
In the rapidly advancing age of cybersecurity, detecting and mitigating advanced cyber threats is a critical challenge. This work-in-progress paper (WIPP) explores the use of low-level system log auditing for effective threat detection, focusing on the innovative use of provenance-based techniques. We focus our attention on three advanced systems —ShadeWatcher, SPADE, and UNICORN, which leverage data provenance to enhance cyber-threat detection capabilities. By analyzing their methods and integrating their strengths, we propose a delay-sensitive audit tracking system suitable for critical infrastructure networks. Our system aims to detect anomalous activities with high precision and reduce false alarms within a guaranteed time bound, thus providing robust protection against cyber threats.
Authors
- Deepak K. Tosh (ORCID: https://orcid.org/0000-0001-8492-1066)
- Christopher Porras
Institutions
- The University of Texas at El Paso (US)
Publication Details
- Published
- 2024-12-03
- DOI
- https://doi.org/10.1109/rws62797.2024.10799471
- Primary Topic
- Service-Oriented Architecture and Web Services
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- National Science Foundation