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http://dx.doi.org/10.5762/KAIS.2011.12.7.3191

A Study on Intrusion Detection Techniques using Risk Level Analysis of Smart Home's Intrusion Traffic  

Kang, Yeon-I (Division of Computer Engineering, Kongju National University)
Kim, Hwang-Rae (Division of Computer Engineering, Kongju National University)
Publication Information
Journal of the Korea Academia-Industrial cooperation Society / v.12, no.7, 2011 , pp. 3191-3196 More about this Journal
Abstract
Smart home system are being installed in the most new construction of building for the convenience of living life. As smart home systems are becoming more common and their diffusion rates are faster, hacker's attack for the smart home system will be increased. In this paper, Risk level of smart home's to do respond to intrusion that occurred from the wired network and wireless network intrusion cases and attacks can occur in a virtual situation created scenarios to build a database. This is based on the smart home users vulnerable to security to know finding illegal intrusion traffic in real-time and attack prevent was designed the intrusion detection algorithm.
Keywords
Smart home system; Attack; Intrusion; Traffic;
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  • Reference
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