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An Access Control System with Time-constraint Using Support Vector Machines

並列摘要


Access control is an important issue in information security. It is a necessary mechanism for protecting data in a computer system. In this paper, we apply support vector machines to construct an access control system. The security management framework is a pattern classification system using well trained support vector machines. The proposed system can not only be applied to broad access policies, but the access rights of users can also be associated with a time period. The proposed scheme is useful to make predictions on real-time data and it is better adapted to complex computer systems.

被引用紀錄


黃詩雯(2014)。以智慧型手機與機器學習輔助提升視障同胞行走安全性〔碩士論文,淡江大學〕。華藝線上圖書館。https://doi.org/10.6846/TKU.2014.01182
Chen, Y. C. (2014). 整合式車輛與道路偵測及距離估測 [master's thesis, National Tsing Hua University]. Airiti Library. https://doi.org/10.6843/NTHU.2014.00484
Dimza, K. (2012). 利用投影幾何減少駕駛輔助系統中行人偵測之搜尋空間 [master's thesis, National Tsing Hua University]. Airiti Library. https://doi.org/10.6843/NTHU.2012.00019
黃士旗(2006)。中文語音聲調辨識的改良與錯誤分析〔碩士論文,國立清華大學〕。華藝線上圖書館。https://doi.org/10.6843/NTHU.2006.00456
Chen, S. H. (2015). 利用機器學習技術於PET/CT上之肝癌電腦輔助診斷系統 [master's thesis, National Chiao Tung University]. Airiti Library. https://doi.org/10.6842/NCTU.2015.00754

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