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3 Journal of Medical Informatics & Technologies

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Features reduction for computer user profiling based on mouse activity

Palys M., Wesołowski T. E.

Journal of Medical Informatics & Technologies

2015

Vol. 24

45--51

The article is related to the computer systems security and to the problem of detecting the masqueraders, intruders who pretend to be legitimate users of computer systems, in particular. The research concerns computer user verification based on analysis of the mouse activity in computer system. The article presents an improvement of user verification method by introducing a new method of user proﬁling. The new user proﬁling method is based on the reduced number of features without the loss of information is introduced. The presented method of user proﬁling allows to simplify and speed up a user’s activity data analysis and is not causing the deterioration of intrusion detection. Additionally, a method of aggregating mouse activity basic events into a higher level events is described. This article presents the preliminary research and conclusions.

User profiling based on multiple aspects of activity in a computer system

Wesołowski T., Kudłacik P.

Journal of Medical Informatics & Technologies

2014

Vol. 23

121--130

The paper concerns behavioral biometrics, specifically issues related to the verification of the identity of computer systems users based on user profiling. The profiling method for creating a behavioral profile based on multiple aspects of user activity in a computer system is presented. The work is devoted to the analysis of user activity in environments with a graphical user interface GUI. Mouse activity, keyboard and software usage are taken into consideration. Additionally, an attempt to intrusion detection based on the proposed profiling method and statistical measures is performed. Preliminary studies show that the proposed profiling method could be useful in detecting an intruder masquerading as an authorized user of the computer system. This article presents the preliminary research and conclusions.

Data clustering for the block profile method of intruder detection

Wesolowski T., Kudlacik P.

Journal of Medical Informatics & Technologies

2013

Vol. 22

209--216

The paper concerns the problem of computer security and intrusion detection. In particular the problem of detecting the masqueraders – intruders who pretend to be authorized users of computer systems. The article presents an improvement of the block profile method of intruder detection for computer systems. As a base for the work the block profiles were taken and the clustering of the block profiles data was performed. The aim was to detect the masqueraders within the test data. The problem of computer security is particularly important in medical applications. Activities of intruder can distort the data stored in medical databases and analyzed by the medical expert systems or decision support systems and thus make it difficult to support the diagnosis of diseases. For this reason it is necessary protect the medical computer systems from unauthorized access. This article presents the preliminary research and conclusions.