| Building intelligent systems in open, heterogeneous, dynamic, distributed environments | 16 May 2008, 03:09:36 EDT ![]() |
|||
Modeling Computer Attacks: An Ontology for Intrusion Detection Authors: Jeffrey L Undercoffer, Anupam Joshi, and John Pinkston Book Title: The Sixth International Symposium on Recent Advances in Intrusion Detection Date: September 16, 2003 Abstract: We state the benefits of transitioning from taxonomies to ontologies and ontology specification languages, which are able to simultaneously serve as recognition, reporting and correlation languages. We have produced an ontology specifying a model of computer attack using the DARPA Agent Markup Language+Ontology Inference Layer, a descriptive logic language. The ontologyrsquos logic is implemented using DAMLJessKB. We compare and contrast the IETFrsquos IDMEF, an emerging standard that uses XML to define its data model, with a data model constructed using DAML+OIL. In our research we focus on low level kernel attributes at the process, system and network levels, to serve as those taxonomic characteristics. We illustrate the benefits of utilizing an ontology by presenting use case scenarios within a distributed intrusion detection system. Type: InProceedings Edition: LNCS-2516 Publisher: Springer Tags: security, semantic web, intrusion detection, ontology Google Scholar: search Number of Google Scholar citations: 19 [show citations] Number of downloads: 838 Available for download as
Bookmark at: Digg | Del.icio.us | Connotea | CiteULike |
| Home | About Us | Contact Us | Site Map | Legal | Privacy Copyright © 1999-2008 UMBC ebiquity research group. Copyright © 2003-2008 Site design and RGB engine code by Filip Perich. XG Page gen 0.024 sec. |