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      Comparison between Mixed Binary classification and Voting Technique for Active User Authentication using Mouse Dynamics

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      ICCNEEE15_Mouse_Dynamics_finalv5_5.docx (359.3Kb)
      Publication date
      2015
      Author
      Khalifa, Alnour Ahmed
      Hassan, Mutasim Adil
      Khalid, Tarig Ahmed
      Hamdoun, Hassan
      Keywords
      active authentication
      mouse dynamics
      pattern recognition
      machine learning
      support vector machines
      Biometrics (access control)
      Artificial neural networks
      QA75 Electronic computers. Computer science
      General Computer Science
      General Engineering
      Metadata
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      Citation
      Khalifa , A A , Hassan , M A , Khalid , T A & Hamdoun , H 2015 , Comparison between Mixed Binary classification and Voting Technique for Active User Authentication using Mouse Dynamics . in RA Saeed & RA Mokhtar (eds) , 2015 International Conference on Computing, Control, Networking, Electronics and Embedded Systems Engineering (ICCNEEE) . IEEE Press , pp. 281-286 , IEEEE- The International Conference on Computing, Control, Networking, Electronics and Embedded Systems Engineering (ICCNEEE 2015) , Khartoum , Sudan , 7/09/15 . https://doi.org/10.1109/ICCNEEE.2015.7381378
       
      conference
       
      Publication
      2015 International Conference on Computing, Control, Networking, Electronics and Embedded Systems Engineering (ICCNEEE)
      DOI
      https://doi.org/https://doi.org/10.1109/ICCNEEE.2015.7381378
      Type
      Conference item
      Collections
      • All research
      • Natural & Computing Sciences research
      • University Office research
      URI
      http://hdl.handle.net/2164/4977

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