Intrusions detection systems (IDSs) are systems that try to detect attacks as they occur or after the attacks took place. IDSs collect network traffic information from some point on the network or computer system and then use this information to secure the network. Intrusion detection systems can be
A neural network based computer access security system for multiple users
β Scribed by A.S. Anagun; I. Cin
- Publisher
- Elsevier Science
- Year
- 1998
- Tongue
- English
- Weight
- 361 KB
- Volume
- 35
- Category
- Article
- ISSN
- 0360-8352
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β¦ Synopsis
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.
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