Name
Abstract | ||
|---|---|---|
We describe methods to score alerts—hypotheses about suspected impending threat events that are issued, based on incrementally presented, time-stamped evidence, before the events occur. Our threat events (and thus alerts) have significant object-oriented structure. The alert s coring methods exploit related methods to score precision, recall, and F-value for structured threat hypotheses when s uch evidence is processed by threat detection technolog ies in a batch, forensic mode. We present a (deemed-impractical) idealized approach and derivative practical variant s. The implemented approach is part of a performance evaluation laboratory (PE Lab) that we have applied during a multi- year, multi-contractor Government research program. |
Year | Venue | Keywords |
|---|---|---|
2006 | AAAI Fall Symposium: Capturing and Using Patterns for Evidence Detection | object oriented |
Field | DocType | Citations |
Research program,Coring,Computer science,Exploit,Artificial intelligence,Recall,Machine learning,Government | Conference | 1 |
PageRank | References | Authors |
0.98 | 2 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Robert C. Schrag | 1 | 325 | 26.58 |
| Masami Takikawa | 2 | 23 | 4.25 |
| Paul Goger | 3 | 2 | 1.32 |
| James Eilbert | 4 | 3 | 2.48 |