Title : 
An Ontology for Malware Analysis
         
        
            Author : 
Mundie, David A. ; Mcintire, David M.
         
        
            Author_Institution : 
Software Eng. Inst., Carnegie Mellon Univ., Pittsburgh, PA, USA
         
        
        
        
        
        
            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;
         
        
        
        
            Conference_Titel : 
Availability, Reliability and Security (ARES), 2013 Eighth International Conference on
         
        
            Conference_Location : 
Regensburg
         
        
        
            DOI : 
10.1109/ARES.2013.73