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Wyszukujesz frazę "detection systems" wg kryterium: Temat


Wyświetlanie 1-3 z 3
Tytuł:
Detecting Password File Theft using Predefined Time-Delays between Certain Password Characters
Autorzy:
Mahmoud, K. W.
Mansour, K.
Makableh, A.
Powiązania:
https://bibliotekanauki.pl/articles/308289.pdf
Data publikacji:
2017
Wydawca:
Instytut Łączności - Państwowy Instytut Badawczy
Tematy:
access control
intrusion detection systems (IDS)
network security
password protection
Opis:
This paper presents novel mechanisms that effectively detect password file thefts and at the same time prevent uncovering passwords. The proposed mechanism uses delay between consecutive keystrokes of the password characters. In presented case, a user should not only enter his password correctly during the sign-up process, but also needs to introduce relatively large time gaps between certain password characters. The proposed novel approaches disguise stored passwords by adding a suffix value that helps in detecting password file theft at the first sign-in attempt by an adversary who steals and cracks the hashed password file. Any attempt to login using a real password without adding the time delays in the correct positions may considered as an impersonation attack, i.e. the password file has been stolen and cracked.
Źródło:
Journal of Telecommunications and Information Technology; 2017, 4; 101-108
1509-4553
1899-8852
Pojawia się w:
Journal of Telecommunications and Information Technology
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Heuristic Analysis of Transport System Efficiency Based on Movement of Mobile Network Users
Autorzy:
Sabak, G.
Powiązania:
https://bibliotekanauki.pl/articles/309030.pdf
Data publikacji:
2009
Wydawca:
Instytut Łączności - Państwowy Instytut Badawczy
Tematy:
congestion detection
decision support systems
neural networks
transport system
Opis:
The paper describes results of introductory research focused on possibility to use location data available in a mobile network for the analysis of transport system status and efficiency. The details of a system capable of detecting abnormal traffic situation (accidents, heavy congestion) are described. This system (called VASTAR) uses a neural network to learn and store certain characteristic of the analyzed part of a road system. Based on a measured divergence from normal characteristic, a notification about non-typical situation is triggered. The results of a computational experiment using real-world location data and simulation of abnormal situation are provided. The proposed system can be a relatively low cost way to improve competitiveness of a mobile network operator by allowing him to offer new type of informational service. It could also aid municipal authorities by providing support for decisions regarding road traffic control and management and be used by emergency services as a monitoring an alarming tool for detecting abnormal road traffic situations when other means of observation are unavailable.
Źródło:
Journal of Telecommunications and Information Technology; 2009, 3; 95-102
1509-4553
1899-8852
Pojawia się w:
Journal of Telecommunications and Information Technology
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Optimum double-matched detection and its application to SSMA systems
Autorzy:
Pawelec, J.J.
Powiązania:
https://bibliotekanauki.pl/articles/309576.pdf
Data publikacji:
2001
Wydawca:
Instytut Łączności - Państwowy Instytut Badawczy
Tematy:
optimum detection
spread spectrum multiple access systems
NB interference
adaptation
Opis:
This paper is concerned with the issue of optimum detection of known signal in nonwhite noise and/or narrow-band interferences. The detection is carried out in three steps. First, some function related to the power spectrum of interfering process I(z) is estimated via adaptation. Second, the signal + interference is withened due to I(z). Third, the replica of signal is filtered via I(z) to match it to the deformed signal in the previous step. The simulation of SS reception in presence of NB interference shows a high gain in comparison to classical single-matched detection.
Źródło:
Journal of Telecommunications and Information Technology; 2001, 3; 80-85
1509-4553
1899-8852
Pojawia się w:
Journal of Telecommunications and Information Technology
Dostawca treści:
Biblioteka Nauki
Artykuł
    Wyświetlanie 1-3 z 3

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