A neural network based computer access security system for multiple users

Anagun A., Cin I.

COMPUTERS & INDUSTRIAL ENGINEERING, cilt.35, ss.351-354, 1998 (SCI-Expanded) identifier identifier

  • Yayın Türü: Makale / Tam Makale
  • Cilt numarası: 35
  • Basım Tarihi: 1998
  • Doi Numarası: 10.1016/s0360-8352(98)00092-8
  • Dergi Adı: COMPUTERS & INDUSTRIAL ENGINEERING
  • Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Scopus
  • Sayfa Sayıları: ss.351-354
  • Eskişehir Osmangazi Üniversitesi Adresli: Hayır

Özet

A neural network architecture is proposed to deal with a situation of multiple users where each user has his/her own password with different length. Three experiments were conducted to find a better way for a computer access security system. The neural networks are trained using time intervals between successive keystrokes during password entry through keyboard. The performance of the neural networks designed for each of the experiments are evaluated in terms of recognition accuracy. Two major issues, preventive security and detection of violations, which may be in question for a security system, are examined. A procedure is proposed to make a security system more reliable when a time interval pattern close to the one produced by the group members during on-line entry. (C) 1998 Elsevier Science Ltd. All rights reserved.