2022

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https://ela.kpi.ua/handle/123456789/55593

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Перегляд 2022 за Ключові слова "004.912"

Зараз показуємо 1 - 3 з 3
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    Comparison of Tools for Web-Application Brute Forcing
    (Igor Sikorsky Kyiv Polytechnic Institute, 2022) Chalyi, Oleksii; Kolomytsev, Myhailo
    For a long time, threat of web-application authentication break remained a problem not only for users but also for business. This threat still exists, since broken authentication provides a blackhat with full access to accounts of users and business data. This article analyzes software tools for breaking authentication as well as it defines time required for breaking-in depending on different conditions. Based on the results of the analysis, the fastest tool was determined. In order to complete this analysis and determine the fastest tool, own web-application was created.
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    Formation Networks of Terms for Identifying Semantic Similarity or Difference Degree of Texts in Cybersecurity
    (Igor Sikorsky Kyiv Polytechnic Institute, 2022) Dmytrenko, Oleh
    This paper devoted the problem of identifying a semantic similarity degree or difference of text in cybersecurity field. The paper presents a method for comparing text documents based on the formation and comparison of the corresponding semantic networks. The directed weighted network of terms, where the nodes of such networks are key terms of the text, and edges are semantic relationships between these terms in the text are considered as a semantic network. The algorithm for formation semantic networks as one of the types of ontologies is also presented. Formation of network of term includes pre-processing of text data, extraction of key terms, construction of undirected network of terms (using the algorithm of horizontal visibility graph), determining undirected connections between terms, and further determining the directions of connections and their weight values. The Frobenius norm of the difference of matrices corresponding to the semantic networks is considered to compare the semantic networks. An identifying the critically different texts that can have similar keywords but different semantic between them is important to ensure cybersecurity. Also, the proposed approach can be helpful while solving the problem of accumulating text data semantically similar in content. In general, this approach can also be used in systems of automatic information retrieval to determine the degree of similarity or difference in the structure and semantics of texts and identify the sources of information that have a destructive impact on the information space.
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    The analysis of cybersecurity subject area terms based on the information diffusion model
    (Igor Sikorsky Kyiv Polytechnic Institute, 2022) Lande, Dmytro; Novikov, Olexiy; Manko, Dmytro
    This research describes a comparison of the information diffusion model, built on the basis of cellular automata with the real statistics the dynamics of the use of terms from the field of cybersecurity in the information flows of the Internet. The information diffusion model is used with different parameters of the intensity of the information propagation. The cross-correlation of dynamics of the dissemination of new information in the model with the dynamics of the occurrence of concepts of the real subject area has been calculated. A high correlation dynamic of the terms occurrence with the dynamics given by the model at the selected parameters is shown. The research results allow fixing the model parameters that can further perform forecasting. The advantage of the information diffusion model based on cellular automata is the simplicity and clarity of a small number of parameters, and the ability to change them in accordance with the data on the actual occurrence of special terminology in information flows. The dynamics of the information diffusion model under various parameters allows us to determine centroids for the subsequent clustering of domain terms.