CRII: SaTC: Temporal Eclectic Rule Extraction (TERE) and Rule Extraction Optimization Stra — NSF Award to University of South Alab
As cyber threats become increasingly sophisticated, ensuring the security of computer networks is more critical than ever. Intrusion Detection Systems (IDS) help identify potential cyberattacks, but many rely on Artificial Intelligence techniques that act as “black boxes,” making their decisions difficult for humans to
| Award title | CRII: SaTC: Temporal Eclectic Rule Extraction (TERE) and Rule Extraction Optimization Stra |
|---|---|
| Award ID | 2451237 |
| Awardee | University of South Alabama |
| City | MOBILE |
| State | AL |
| Amount obligated | $155,258 |
| Principal investigator | Jesse Ables |
| Program | Secure &Trustworthy Cyberspace |
| Start date | 06/15/2025 |
| Abstract | As cyber threats become increasingly sophisticated, ensuring the security of computer networks is more critical than ever. Intrusion Detection Systems (IDS) help identify potential cyberattacks, but many rely on Artificial Intelligence techniques that act as “black boxes,” making their decisions difficult for humans to understand or trust. Security analysts or users do not know what is going on “under the hood” in these models and do not understand the model's reasons for making predictions. Thi |
| Source | NSF Awards |
$799/mo
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