DocumentCode :
2130386
Title :
An Ontology for Malware Analysis
Author :
Mundie, David A. ; Mcintire, David M.
Author_Institution :
Software Eng. Inst., Carnegie Mellon Univ., Pittsburgh, PA, USA
fYear :
2013
fDate :
2-6 Sept. 2013
Firstpage :
556
Lastpage :
558
Abstract :
Malware analysis is an information security field that needs a more scientific basis for communicating requirements, hiring, training, and retaining staff, building training curricula, and sharing information among analysis teams. Our group is building an OWL-based malware analysis ontology to provide that more scientific approach. We have built a malware analysis dictionary and taxonomy, and are currently combining those with a competency model with the goal of creating an ontology-based competency framework. This paper describes the state of the work and the methodology used.
Keywords :
invasive software; knowledge representation languages; ontologies (artificial intelligence); OWL-based malware analysis ontology; communicating requirements; information security field; information sharing; malware analysis dictionary; malware analysis taxonomy; ontology-based competency framework; training curricula building; Buildings; Dictionaries; Malware; OWL; Ontologies; Training; Vocabulary; malware analysis; malware dictionary; malware ontology; ontology-based competency model;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Availability, Reliability and Security (ARES), 2013 Eighth International Conference on
Conference_Location :
Regensburg
Type :
conf
DOI :
10.1109/ARES.2013.73
Filename :
6657289
Link To Document :
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