Security Threats Prediction on Local Area Network Using Regression Model

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Author(s) Alese B.K | Osisanwo F.Y | Fasoranbaku O | Adetunmbi A.O
Pages 1170-1179
Volume 2
Issue 7
Date July, 2012
Keywords LAN, hacking, eavesdropping, vulnerabilities, threats


In this dispensation, security of data and information has become a great threat to organisations involved in the use of networking. This is as a result of the increase in the rate of spoofing, hacking, eavesdroping, password breaking among others. Vulnerability scanners now play a major role in identifying vulnerabilities or threats that exist across an organisations Local Area Network. When an organisation becomes aware of vulnerabilities that can be exploited on its LAN, the organisation becomes prepared on how to maintain and prevent further exploitation by malicious users. This work focuses on predicting vulnerablities of Local Area Network (LAN) that is likely to occur in nearest future with the use of Econometric method(Regression Model) on previous or historical data gathered from the Local Area Network (LAN). Data from two case studies of a previous research were sampled. Finally, a comparative analysis of the results from the statistical model (Econometric model) employed was carried out with that of the previous statistical model (Box and Jenkins model).

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