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    Wyświetlanie 1-7 z 7
    Tytuł:
    Automation of Information Security Risk Assessment
    Autorzy:
    Akhmetov, Berik
    Lakhno, Valerii
    Chubaievskyi, Vitalyi
    Kaminskyi, Serhii
    Adilzhanova, Saltanat
    Ydyryshbayeva, Moldir
    Powiązania:
    https://bibliotekanauki.pl/articles/2124744.pdf
    Data publikacji:
    2022
    Wydawca:
    Polska Akademia Nauk. Czytelnia Czasopism PAN
    Tematy:
    information security
    audit
    Bayesian network
    artificial neural networks
    Opis:
    An information security audit method (ISA) for a distributed computer network (DCN) of an informatization object (OBI) has been developed. Proposed method is based on the ISA procedures automation by using Bayesian networks (BN) and artificial neural networks (ANN) to assess the risks. It was shown that such a combination of BN and ANN makes it possible to quickly determine the actual risks for OBI information security (IS). At the same time, data from sensors of various hardware and software information security means (ISM) in the OBI DCS segments are used as the initial information. It was shown that the automation of ISA procedures based on the use of BN and ANN allows the DCN IS administrator to respond dynamically to threats in a real time manner, to promptly select effective countermeasures to protect the DCS.
    Źródło:
    International Journal of Electronics and Telecommunications; 2022, 68, 3; 549--555
    2300-1933
    Pojawia się w:
    International Journal of Electronics and Telecommunications
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Maintenance Evaluation and Optimization of a Multi-State System Based on a Dynamic Bayesian Network
    Autorzy:
    Dahia, Zakaria
    Bellaouar, Ahmed
    Dron, Jean-Paul
    Powiązania:
    https://bibliotekanauki.pl/articles/2023959.pdf
    Data publikacji:
    2021-09
    Wydawca:
    Polska Akademia Nauk. Czytelnia Czasopism PAN
    Tematy:
    multi-state system
    dynamic Bayesian network
    reliability
    availability
    maintenance optimization
    Opis:
    Nowadays, the main challenge in maintenance is to establish a dynamic maintenance strategy to significantly track and improve the performance measures of multi-state systems in terms of production, quality, security and even the environment. This paper presents a quantitative approach based on Dynamic Bayesian Network (DBN) to model and evaluate the maintenance of multi-state system and their functional dependencies. According to transition relationships between the system states modeled by the Markov process, a DBN model is established. The objective is to evaluate the reliability and the availability of the system with taking into account the impact of maintenance strategies (perfect repair and imperfect repair). Using the proposed approach, the dynamic probabilities of system states can be determined and the subsystems contributing to system failure can also be identified. A practical application is demonstrated by a case study of a blower system. Through the result of the diagnostic inference, to improve the performances of the blower, the critical components C, F, W, and P should be given more attention. The results indicate also that the perfect repair strategy can improve significantly the performances of the blower, while the imperfect repair strategy cannot degrade the performances in comparison to the perfect repair strategy. These results show the effectiveness of this approach in the context of a predictive evaluation process and in providing the opportunity to evaluate the impact of the choices made on the future measurement of systems performances. Finally, through diagnostic analysis, intervention management and maintenance planning are managed efficiently and optimally.
    Źródło:
    Management and Production Engineering Review; 2021, 13, 3; 3-14
    2080-8208
    2082-1344
    Pojawia się w:
    Management and Production Engineering Review
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Cluster Based Optimization of Routing in Distributed Sensor Networks Using Bayesian Networks with Tabu Search
    Autorzy:
    Bhajantri, L. B.
    Nalini, N.
    Powiązania:
    https://bibliotekanauki.pl/articles/226310.pdf
    Data publikacji:
    2014
    Wydawca:
    Polska Akademia Nauk. Czytelnia Czasopism PAN
    Tematy:
    Distributed Sensor Networks
    routing
    cluster head
    Bayesian Network
    tabu search
    Opis:
    Distributed Sensor Networks (DSNs) have attracted significant attention over the past few years. A growing list of many applications can employ DSNs for increased effectiveness especially in hostile and remote are as. In all application salargen umber of sensors are expected and requiring careful architecture and management of the net work. Grouping nodes in toclusters has been the most popular approach for support scalability in DSN. This paper proposes acluster based optimization of routing in DSN by employing a Bayesi an network (BN) with Tabu search (TS) approach. BN based approach is used to select efficient cluster head sand construction of BN for the proposed scheme. This approach in corporates energy level of each node, band width and link efficiency. The optimization of routing is considered as a design issue in DSN due to lack of energy consumption, delay and maximum time required for data transmission between source nodes (cluster heads) to sink node. In this work optimization of routing takes place through cluster head nodes by using TS. Simulations have been conducted to compare the performance of the proposed approach with LEACH protocol. The objective of the proposed work is to improve the performance of network in terms of energy consumption, through put, packet delivery ratio, and time efficiency of optimization of routing. The results hows that the proposed approach perform better than LEACH protocol that utilizes minimum energy, latency for cluster formation and reduce over head of the protocol.
    Źródło:
    International Journal of Electronics and Telecommunications; 2014, 60, 2; 199-208
    2300-1933
    Pojawia się w:
    International Journal of Electronics and Telecommunications
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Grid Fault Diagnosis Based on Information Entropy and Multi-source Information Fusion
    Autorzy:
    Zeng, Xin
    Xiong, Xingzhong
    Luo, Zhongqiang
    Powiązania:
    https://bibliotekanauki.pl/articles/1844639.pdf
    Data publikacji:
    2021
    Wydawca:
    Polska Akademia Nauk. Czytelnia Czasopism PAN
    Tematy:
    information entropy
    Bayesian network
    multi-source information fusion
    D-S evidence theory
    fault diagnosis
    Opis:
    In order to solve the problem of misjudgment caused by the traditional power grid fault diagnosis methods, a new fusion diagnosis method is proposed based on the theory of multi-source information fusion. In this method, the fault degree of the power element is deduced by using the Bayesian network. Then, the time-domain singular spectrum entropy, frequency-domain power spectrum entropy and wavelet packet energy spectrum entropy of the electrical signals of each circuit after the failure are extracted, and these three characteristic quantities are taken as the fault support degree of the power components. Finally, the four fault degrees are normalized and classified as four evidence bodies in the D-S evidence theory for multi-feature fusion, which reduces the uncertainty brought by a single feature body. Simulation results show that the proposed method can obtain more reliable diagnosis results compared with the traditional methods.
    Źródło:
    International Journal of Electronics and Telecommunications; 2021, 67, 2; 143-148
    2300-1933
    Pojawia się w:
    International Journal of Electronics and Telecommunications
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Shock safety modeling method for low-voltage electric devices
    Autorzy:
    Korniluk, W.
    Sajewicz, D.
    Powiązania:
    https://bibliotekanauki.pl/articles/141402.pdf
    Data publikacji:
    2010
    Wydawca:
    Polska Akademia Nauk. Czytelnia Czasopism PAN
    Tematy:
    zarządzanie bezpieczeństwem
    system ekspertowy
    sieć bayesowska
    prawdopodobieństwo całkowite
    bezpieczeństwo porażeniowe
    safety management process
    expert system
    Bayesian network
    total probability
    protection reliability states
    appearance of touch and electric shock states
    risk analysis and assessment
    Opis:
    The article describes a shock safety modeling method for low-voltage electric devices, based on using a Bayesian network. This method allows for taking into account all possible combinations of the reliability and unreliability states for the shock protection elements under concern. The developed method allows for investigating electric shock incidents, analysing and assessing shock risks, as well as for determining criteria of dimensioning shock protection means, also with respect to reliability of the particular shock protection elements. Dependencies for determining and analysing the probability of appearance of reliability states of protection as well as an electric shock risk are presented in the article.
    Źródło:
    Archives of Electrical Engineering; 2010, 59, 3-4; 153-167
    1427-4221
    2300-2506
    Pojawia się w:
    Archives of Electrical Engineering
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Shock safety modelling of indirect contact with low-voltage electric devices
    Autorzy:
    Korniluk, W.
    Sajewicz, D.
    Powiązania:
    https://bibliotekanauki.pl/articles/141066.pdf
    Data publikacji:
    2011
    Wydawca:
    Polska Akademia Nauk. Czytelnia Czasopism PAN
    Tematy:
    zarządzanie bezpieczeństwem
    system ekspertowy
    sieć bayesowska
    prawdopodobieństwo całkowite
    ochrona przeciwporażeniowa
    porażenie prądem elektrycznym
    safety management process
    expert system
    Bayesian network
    total probability
    protection reliability states
    appearance of touch and electric shock states
    risk analysis and assessment
    Opis:
    The article presents a shock safety model of an indirect contact with a low-voltage electric device. This model was used for computations and analyses concerning the following: the probabilities of appearance of the particular shock protection unreliability states, electric shock states (ventricular fibrillation), contributions of the unreliability of different shock protection elements to the probability of occurrence of these states, as well as the risk of electric shock (and the shock safety), and contributions of the intensity of occurrence of damages to different shock protection elements to this risk. An example of a possibility to reduce the risk of an electric shock through changing the intensity of occurrence of damages to the selected protection elements was provided.
    Źródło:
    Archives of Electrical Engineering; 2011, 60, 3; 303-315
    1427-4221
    2300-2506
    Pojawia się w:
    Archives of Electrical Engineering
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Brain, mind and modern human identity – dilemmas and solutions
    Autorzy:
    Błaszak, Maciej
    Powiązania:
    https://bibliotekanauki.pl/articles/703008.pdf
    Data publikacji:
    2017
    Wydawca:
    Polska Akademia Nauk. Czytelnia Czasopism PAN
    Tematy:
    predictive mind
    bayesian brain
    salience network
    central executive network
    default mode network
    human cognitive evolution
    Opis:
    Human brain is “the perfect guessing machine” (James V. Stone (2012) Vision and Brain, Cambridge, Mass: The MIT Press, p. 155), trying to interpret sensory data in the light of previous biases or beliefs. Bayesian inference is carried out by three complex networks of the human brain: salience network, central executive network, and default mode network. Their function is analysed both in neurotypical person and Attention Deficit Disorder. Modern human being having predictive brain and overloaded mind must develop social identity, whose evolution went probably through three stages: social selection based on punishment, sexual selection based on reputation, and group selection based on identity.
    Źródło:
    Nauka; 2017, 1
    1231-8515
    Pojawia się w:
    Nauka
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
      Wyświetlanie 1-7 z 7

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