This Project Grant award, valued at $155,258.00, was provided by the National Science Foundation (NSF) through its Computer and Information Science and Engineering (CISE) program (CFDA 47.070). The award aims to develop a novel Explainable Artificial Intelligence (XAI) technique called Temporal Eclectic Rule Extraction (TERE) to create more transparent and interpretable Intrusion Detection Systems (X-IDS) for cybersecurity. The key objectives are to incorporate time-based patterns in network security data to enable security professionals to better understand IDS decisions, thereby improving trust, accountability, and decision-making in cybersecurity. The award also includes efforts to optimize the computational complexity and interpretability of the extracted rules. Additionally, the project will develop and publish hands-on lab exercises for K-12 students related to the research. The award period runs from June 15, 2025, through May 31, 2027, and the work will be performed at the University of South Alabama.
Mod # | Description | Reason For Modification | Federal Obligation (Click to sort descending) | Date (Click to sort ascending) |
|---|---|---|---|---|
| Not listed | $155.3k | 6/13/25 |