Autor: Wesołowski, T. - Katalog OPAC zbiorów

Skocz do pozycji: 1.

Tytuł:: Data clustering for the block profile method of intruder detection
Autorzy:: Wesolowski, T.
Kudlacik, P.
Powiązania:: https://bibliotekanauki.pl/articles/333027.pdf
Data publikacji:: 2013
Wydawca:: Uniwersytet Śląski. Wydział Informatyki i Nauki o Materiałach. Instytut Informatyki. Zakład Systemów Komputerowych
Tematy:: user-profiles
intruder detection
computer security
user verification
profil użytkownika
wykrywanie intruza
bezpieczeństwo komputera
weryfikacja użytkownika
Opis:: 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.
Źródło:: Journal of Medical Informatics & Technologies; 2013, 22; 209-216
1642-6037
Pojawia się w:: Journal of Medical Informatics & Technologies
Dostawca treści:: Biblioteka Nauki

Artykuł

Zmień widok

na półce

Skocz do pozycji: 2.

Tytuł:: User profiling based on multiple aspects of activity in a computer system
Autorzy:: Wesołowski, T.
Kudłacik, P.
Powiązania:: https://bibliotekanauki.pl/articles/333926.pdf
Data publikacji:: 2014
Wydawca:: Uniwersytet Śląski. Wydział Informatyki i Nauki o Materiałach. Instytut Informatyki. Zakład Systemów Komputerowych
Tematy:: behavioral biometrics
user profile
intruder detection
user verification
biometria behawioralna
profil użytkownika
wykrywanie intruza
weryfikacja użytkownika
Opis:: 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.
Źródło:: Journal of Medical Informatics & Technologies; 2014, 23; 121-130
1642-6037
Pojawia się w:: Journal of Medical Informatics & Technologies
Dostawca treści:: Biblioteka Nauki

Artykuł

Zmień widok

na półce

Skocz do pozycji: 3.

Tytuł:: User verification based on the analysis of keystrokes while using various software
Autorzy:: Wesołowski, T. E.
Porwik, P.
Powiązania:: https://bibliotekanauki.pl/articles/333083.pdf
Data publikacji:: 2015
Wydawca:: Uniwersytet Śląski. Wydział Informatyki i Nauki o Materiałach. Instytut Informatyki. Zakład Systemów Komputerowych
Tematy:: keystroke analysis
free text analysis user profile
intruder detection
user verification
analiza klawiszy
analiza tekstu
wykrywanie intruza
weryfikacja użytkownika
Opis:: The article presents the new approach to a computer users verification. The research concerns an analysis of user’s continuous activity related to a keyboard used while working with various software. This type of analysis constitutes a type of free-text analysis. The presented method is based on the analysis of users activity while working with particular computer software (e.g. text editors, utilities). A method of computer user proﬁling is proposed and an attempt to intrusion detection based on k-NN classifier is performed. The obtained results show that the introduced method can be used in the intrusion detection and monitoring systems. Such systems are especially needed in medical facilities where sensitive data are processed.
Źródło:: Journal of Medical Informatics & Technologies; 2015, 24; 13-22
1642-6037
Pojawia się w:: Journal of Medical Informatics & Technologies
Dostawca treści:: Biblioteka Nauki

Artykuł

Zmień widok

na półce

Skocz do pozycji: 4.

Tytuł:: Features reduction for computer user profiling based on mouse activity
Autorzy:: Palys, M.
Wesołowski, T. E.
Powiązania:: https://bibliotekanauki.pl/articles/334021.pdf
Data publikacji:: 2015
Wydawca:: Uniwersytet Śląski. Wydział Informatyki i Nauki o Materiałach. Instytut Informatyki. Zakład Systemów Komputerowych
Tematy:: user profile
intruder detection
mouse activity
user verification
profil użytkownika
wykrywanie intruza
aktywność myszy
weryfikacja użytkownika
Opis:: 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.
Źródło:: Journal of Medical Informatics & Technologies; 2015, 24; 45-51
1642-6037
Pojawia się w:: Journal of Medical Informatics & Technologies
Dostawca treści:: Biblioteka Nauki

Artykuł

Zmień widok

na półce

Skocz do pozycji: 5.

Tytuł:: Hybrid verification method based on finger-knuckle analysis and keystroke dynamics
Autorzy:: Wesolowski, T. E.
Safaverdi, H.
Doroz, R.
Wrobel, K.
Powiązania:: https://bibliotekanauki.pl/articles/333719.pdf
Data publikacji:: 2017
Wydawca:: Uniwersytet Śląski. Wydział Informatyki i Nauki o Materiałach. Instytut Informatyki. Zakład Systemów Komputerowych
Tematy:: user verification
keystroke dynamics
finger-knuckle analysis
weryfikacja użytkownika
dynamika pisania na klawiaturze
analiza palców
Opis:: The increasing number of personal data leaks becomes one of the most important security issues hence the need to develop modern computer user verification methods. In the article, a potential of biometric methods fusion for continuous user verification was assessed. A hybrid approach for user verification based on fusion of keystroke dynamics and knuckle images analysis was presented. Verification is performed by a classification module where an ensemble classifier was used to verify the identity of a user. A proposed classifier works on a database which comprises of knuckle images and keyboard events for keystroke dynamics. The proposed approach was tested experimentally. The obtained results confirm that the proposed hybrid approach performs better than methods based on single biometric feature hence the introduced method can be used for increasing a protection level of computer resources against forgers and impostors. The paper presents results of preliminary research conducted to assess the potential of biometric methods fusion.
Źródło:: Journal of Medical Informatics & Technologies; 2017, 26; 26-36
1642-6037
Pojawia się w:: Journal of Medical Informatics & Technologies
Dostawca treści:: Biblioteka Nauki

Artykuł

Zmień widok

na półce

Informacja

Wyszukujesz frazę "Wesołowski, T." wg kryterium: Autor

Źródło danych

Dostawca treści

Kolekcja

Rok wydania

Wydawca

Temat

Autor

Typ dokumentu

Język