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Network Risk Evaluation by Data Mining
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N. Najafli   , B. Farnoushfar , M. Nasiri , B. Minaei |
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Abstract: (10109 Views) |
| Risk management is one of the most prominent concepts which has recently been brought
into sharp focus regarding security issues in computer networks. Scientifically speaking, risk in the
field of network security is a generalized matter leading the organization to the provision of
resolutions which target resources and profits of the organization. This paper has discussed what
methods are to be adopted with respect to identification and classification of risk assessment and
evaluation of computer networks using data mining. The proposed method uses support vector
machine to generate and analyze results of risk evaluation. Considering available resources in the
organization, the tasks performed by means of this method are of high accuracy therefore, results are
hereby in accordance with theories of management and security and based on resources and
organizational profits depending on adjustable parameters as inputs. Outcomes of this study can be
implemented in a dynamically real-time defensive system.
Keywords: Risk Management, Risk Evaluation Model, Network Vulnerability, Data Mining, Support
Vector machine. |
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Full-Text [DOC 179 kb]
(2730 Downloads)
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Type of Study: Research |
Subject:
General
Received: 2011/11/12 | Published: 2011/11/15
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