DocumentCode :
265237
Title :
A qualitative analysis of an ontology based issue resolution system for cyber attack management
Author :
Simmons, Christie B. ; Shiva, Sajjan G. ; Simmons, Lakisha L.
Author_Institution :
Sch. of Comput. & Inf., Lipscomb Univ., Nashville, TN, USA
fYear :
2014
fDate :
4-7 June 2014
Firstpage :
323
Lastpage :
329
Abstract :
Cyber-attacks are increasing at an alarming rate and the attackers have progressively improved in devising attacks towards specific targets. To further develop the area of cyber-attack communication, we propose an ontology based issue resolution system used to identify and defend against cyber-attacks. The issue resolution system (IRS) facilitates attack discovery and suggestive defenses for a small to medium sized organizations. We validate our IRS Ontology using qualitative study of security expert professionals and highlight future work intended to simulate the IRS in a virtual attack test environment.
Keywords :
ontologies (artificial intelligence); security of data; IRS ontology; attack discovery; cyber attack management; cyber-attack communication; ontology based issue resolution system; qualitative analysis; Complexity theory; Data mining; Ontologies; Organizations; Security; Software; Taxonomy;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Cyber Technology in Automation, Control, and Intelligent Systems (CYBER), 2014 IEEE 4th Annual International Conference on
Conference_Location :
Hong Kong
Print_ISBN :
978-1-4799-3668-7
Type :
conf
DOI :
10.1109/CYBER.2014.6917483
Filename :
6917483
Link To Document :
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