DocumentCode
464259
Title
Constructing Enterprise Information Network Security Risk Management Mechanism by Using Ontology
Author
Liu, Fong-Hao
Author_Institution
PLA Nat. Defense Univ., Beijing
Volume
1
fYear
2007
fDate
21-23 May 2007
Firstpage
929
Lastpage
934
Abstract
As the prosperous development of information technology and Internet, the enterprises change the management of supply chain into modern technology way. Also, the characteristics of information crime has become unremitting confidence , the protection of the invaluable information assets in the supplier chain is facing more rigorous challenges. How can the expensive security mechanism be assessed if it conforms its function and serves the core objectives of the enterprise. The mechanism of this paper is based on the ontology of the Unified Problem-solving Method Development Language. In this paper, the implementation knowledge of the SCM information security risk management is divided into three categories: domain, task, and problem-solving ontologies. The concepts of the knowledge ontology are implemented by a computer tool Protege, and programmed into a detailed knowledge inference rules by using CLIPS, and then used as an inference engine in the JESS expert system to strengthen the SCM information security risk management and enhance the security of the enterprise.
Keywords
inference mechanisms; ontologies (artificial intelligence); risk management; security of data; supply chain management; computer tool Protege; enterprise information network security; information crime; knowledge inference rule; knowledge ontology; risk management mechanism; supply chain management; unified problem-solving method development language; Information security; Information technology; Internet; Ontologies; Problem-solving; Protection; Risk management; Supply chain management; Supply chains; Technology management; SCM information security; ontology; risk management;
fLanguage
English
Publisher
ieee
Conference_Titel
Advanced Information Networking and Applications Workshops, 2007, AINAW '07. 21st International Conference on
Conference_Location
Niagara Falls, Ont.
Print_ISBN
978-0-7695-2847-2
Type
conf
DOI
10.1109/AINAW.2007.129
Filename
4221177
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