Name
Abstract | ||
|---|---|---|
This paper presents an agent-based, high-level security system for user verification. The system verifies a user's identity by processing data from several low-lever sensors mounted at an entry point combined with knowledge of the user's past behavior. The data from a new entry are processed by several agents, which store the knowledge in an ontology. A single agent's classifications are integrated into the overall decision. The system successfully detects intruders, even when they optimally fake low-level sensors, e.g. fingerprints, and regular personnel under the influence of drugs. |
Year | DOI | Venue |
|---|---|---|
2010 | 10.3233/AIS-2010-0050 | JAISE |
Keywords | Field | DocType |
regular personnel,user verification,detects intruder,entry point,agent-based security system,past behavior,low-lever sensor,improving user verification,fake low-level sensor,overall decision,high-level security system,new entry | Level measurement,Ontology,Data processing,Security system,User verification,Computer science,Simulation,Entry point,Fingerprint,Human–computer interaction,Access control | Journal |
Volume | Issue | ISSN |
2 | 1 | 1876-1364 |
Citations | PageRank | References |
1 | 0.35 | 11 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Erik Dovgan | 1 | 70 | 9.74 |
| Boštjan Kaluža | 2 | 34 | 4.00 |
| Tea Tušar | 3 | 88 | 6.26 |
| Matjaz Gams | 4 | 536 | 80.90 |