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  • 标题:Hardware Implementation of Dynamics Keystroke Applied for Cloud Computing
  • 本地全文:下载
  • 作者:Basma M. Hassan ; Khaled M. Fouad ; Mahmoud F. Hassan
  • 期刊名称:International Journal of Soft Computing & Engineering
  • 电子版ISSN:2231-2307
  • 出版年度:2015
  • 卷号:5
  • 期号:4
  • 页码:84-89
  • 出版社:International Journal of Soft Computing & Engineering
  • 摘要:Cloud computing is a growing technology which provides remote access to computing resources and user data. Due to its core philosophy of enabling the user to access his data from anywhere and at any time, cloud computing has a major issue with security and user authentication. Biometric identification is a very good candidate technology, which can facilitate a trusted user authentication with the minimum constraints on the security of the access point. However, most of the biometric identification techniques require special hardware, thus complicate the access point and make it costly. Keystroke recognition is a biometric identification technique which relies on the user behavior while typing on the keyboard. It is more secure and does not need any additional hardware to the access point. This paper presents a hardware implementation of an algorithm based on keystroke dynamics analysis synthesized, simulated and implemented on FPGA. The authentication process is based on the GP methods to test the ability of the distance measure between keystrokes and how to distinguish users through their typing dynamics keystroke.The proposed architecture achieves maximum delay 0.55 ns
  • 关键词:Cloud computing; remote access; biometric;identification; access point; Keystroke recognition; FPGA;VHDL.
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