Szczegóły publikacji
Opis bibliograficzny
Unfavorable behavior detection in real world systems using the multiagent system / Krzysztof CETNAROWICZ, Renata Cięciwa, Edward NAWARECKI, Gabriel ROJEK // W: Intelligent Information Processing and Web Mining : proceedings of the international IIS: IIPWM '05 conference : Gdansk, Poland, June 13–16, 2005 / eds. Mieczysław A. Kłopotek, Sławomir T. Wierzchoń, Krzysztof Trojanowski. — Berlin ; Heidelberg ; New York : Springer-Verlag, 2005. — (Advances in Soft Computing ; ISSN 1615-3871). — ISBN: 3-540-25056-5. — S. 416–420. — Bibliogr. s. 420, Abstr.
Autorzy (4)
Dane bibliometryczne
| ID BaDAP | 24972 |
|---|---|
| Data dodania do BaDAP | 2005-12-13 |
| DOI | 10.1007/3-540-32392-9_44 |
| Rok publikacji | 2005 |
| Typ publikacji | materiały konferencyjne (aut.) |
| Otwarty dostęp |  |
| Czasopismo/seria | Advances in Soft Computing |
Abstract
Nowadays detecting destructive attacks and dangerous activities is crucial problem in many real world security systems. A security system should enable to distinguish some actors which effects of behavior are perhaps unfavorable for a considered area. The considered areas are real world systems e.g. airports, shops or city centers. Project of real world security system should assume the changing and unpredictable type of dangerous activities in real world systems. Security system has to detect and react to new kind of dangers that have never been encountered before. In this article there are presented methods derived from some ethically-social and immunological mechanisms that should enable automated intrusion detection.
