Collaborative Research: SaTC: CORE: Medium: Transforming Intrusion Detection Through Autom — NSF Award to University of Illinois a
The groundswell of available data and computation power to learn from data has produced advanced automation across many domains, but cybersecurity has lagged these trends. Cybersecurity data sharing comes primarily in the form of indicators of compromise (IoCs) that describe patterns or artifacts that have already been
| Award title | Collaborative Research: SaTC: CORE: Medium: Transforming Intrusion Detection Through Autom |
|---|---|
| Award ID | 2425892 |
| Awardee | University of Illinois at Chicago |
| City | CHICAGO |
| State | IL |
| Amount obligated | $350,000 |
| Principal investigator | Anrin Chakraborti |
| Program | Secure &Trustworthy Cyberspace, Unallocated Program Costs |
| Start date | 06/15/2025 |
| Abstract | The groundswell of available data and computation power to learn from data has produced advanced automation across many domains, but cybersecurity has lagged these trends. Cybersecurity data sharing comes primarily in the form of indicators of compromise (IoCs) that describe patterns or artifacts that have already been classified as associated with malicious activity. Identifying malicious activity and distilling one or more IoCs from it, however, is often a manual process that is slowed and/or |
| Source | NSF Awards |
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