Browsing by Subject "information security"

Now showing 1 - 5 of 5

Access status: Open Access ,
Analiza systemowa zagrożeń dla bezpieczeństwa cyberprzestrzeni
(Wydawnictwa AGH, 2009) Sienkiewicz, Piotr
The general model of European cybernetic space (EPC) was introduced by users. The model was shaped by of supplies of infrastructure UE. Both individual, and the institutional users of the EPC are risked on informative threats, among which the most dangerous become the threat the cyberterroristic. In the analyses the level of development of European informative society were introduced and the initiative of UE in range of growth of safety the EPC as well. The basic scripts were presented for security the possible the and probable cybernetic threats of the EPC and as the conditions of safe European informative society as well.
Access status: Open Access ,
Mierniki bezpieczeństwa informatycznego a niektóre przestępstwa komputerowe
(Wydawnictwa AGH, 2007) Szmit, Maciej; Politowska, Izabela
In the paper we present a short review of information security metrics and selected computer crimes.
Access status: Open Access ,
Models, methods and information technologies of protection of corporate systems of transport based on intellectual identification of threats
(2015) Petrov, Oleksandr; Korčenko, Oleksandr Grigorovič; Lahno, Valeriy
In the article, results of the research on the development of methods and models of intellectual recognition of threats to information systems of transport. The article contains results of the research that allows us to raise the level of protection of the automated and intellectual information systems of the transportation enterprises (AISTE) in the conditions of the intensification of transportation. The article contains mathematical models and results of estimation information systems having Internet connection through various communication channels. The article also considers the issues of research and protection of the AISTE under the condition of several conflict-data-request threads.
Access status: Open Access ,
Sensor based cyber attack detections in critical infrastructures using deep learning algorithms
(Wydawnictwa AGH, 2019) Yilmaz, Murat; Catak, Ferhat Ozgur; Gul, Ensar
The technology that has evolved with innovations in the digital world has also caused an increase in many security problems. Day by day the methods and forms of the cyberattacks began to become complicated, and therefore their detection became more difficult. In this work we have used the datasets which have been prepared in collaboration with Raymond Borges and Oak Ridge National Laboratories. These datasets include measurements of the Industrial Control Systems related to chewing attack behavior. These measurements include synchronized measurements and data records from Snort and relays with the simulated control panel. In this study, we developed two models using this datasets. The first is the model we call the DNN Model which was build using the latest Deep Learning algorithms. The second model was created by adding the AutoEncoder structure to the DNN Model. All of the variables used when developing our models were set parametrically. A number of variables such as activation method, number of hidden layers in the model, the number of nodes in the layers, number of iterations were analyzed to create the optimum model design. When we run our model with optimum settings, we obtained better results than related studies. The learning speed of the model has 100\% accuracy rate which is also entirely satisfactory. While the training period of the dataset containing about 4 thousand different operations lasts about 90 seconds, the developed model completes the learning process at the level of milliseconds to detect new attacks. This increases the applicability of the model in real world environment.
Access status: Open Access ,
Steganograficzne wykorzystanie piramid filtrów kierunkowych
(Wydawnictwa AGH, 2008) Kopniak, Piotr
Steganography is a branch of knowledge which deals with confidential information security by hiding the secret information inside the public one. A digital recording which assures high quality, better data destruction prevention then an analog recording and an easy computer processing is today a main way of a multimedia data saving. This type of data is utilised by computer steganography because of their high redundancy. The redundant data may be substituted by the secret information. This article contains a description of the new steganography algorithm prepared for the author's PhD dissertation based on an innovative use of multiresolution image decomposition by directional filters pyramids (steerable pyramid transform). The steerable pyramids have some advantages comparing to e.g. wavelet transform i.e. more directional subbands at each scale level which gives more information hiding opportunities. The article describes the data embedding algorithm based on Lee and Chen statistical method in detail and the results of the research made for the specification of the algorithm parameters and its steganographical accuracy.