Theoretical and Applied Cybersecurity: scientific journal, Vol. 5, No. 2

Постійне посилання зібрання

https://ela.kpi.ua/handle/123456789/62378

Переглянути

Перегляд Theoretical and Applied Cybersecurity: scientific journal, Vol. 5, No. 2 за Ключові слова "519.1, 514.128"

Зараз показуємо 1 - 2 з 2
  • Ескіз
    ДокументВідкритий доступ
    On Inverse Protocols of Post Quantum Cryptography Based on Pairs of Noncommutative Multivariate Platforms Used in Tandem
    (Igor Sikorsky Kyiv Polytechnic Institute, 2023) Ustymenko, Vasyl
    Non-commutative cryptography studies cryptographic primitives and systems which are based on algebraic structures like groups, semigroups and noncommutative rings. We continue to investigate inverse protocols of Non-commutative cryptography defined in terms of subsemigroups of Affine Cremona Semigroups over finite fields or arithmetic rings Zm and homomorphic images of these semigroups as possible instruments of Post Quantum Cryptography. This approach allows to construct cryptosystem which are not public keys, when protocol finish correspondents have mutually inverse transformations on affine space K n or variety (K*)n where K is the field or arithmetic ring. The security of such inverse protocol rests on the complexity of word problem to decompose element of Affine Cremona Semigroup given in its standard form into composition of given generators. We discuss the idea of usage combinations of two cryptosystems with cipherspaces(K*)n and K n to form a new cryptosystem with the plainspace(K*)n , ciphertextK n and nonbijective highly nonlinear encryption map.
  • Ескіз
    ДокументВідкритий доступ
    The Development of the Solution Search Method Based on the Improved Bee Colony Algorithm
    (Igor Sikorsky Kyiv Polytechnic Institute, 2023) Shyshatsky, Andrii; Stasiuk, Tetiana; Kuzmenko, Oleg
    Active digitization of people's daily life leads to the use of the decision making support systems (DMSS). DMSS is actively used in data processing, forecasting the course of various processes, providing informational support for the decision making process by decision makers. However, a number of problems arise while evaluating monitoring objects, namely: a large number of destabilizing factors affecting the efficiency of the processes of information collection, processing and transmission; high dynamism of changes in the state and composition of heterogeneous monitoring objects during the conduct of hostilities (operations); high dynamism of conducting hostilities (operations); the uncertainty of the initial situation and the noise of the initial data. In this article, a method of finding solutions based on an improved bee colony algorithm was developed. The efficiency of information processing is achieved by learning the architecture of artificial neural networks; taking into account the type of uncertainty of the information to be evaluated; the use of an improved algorithm of the bee colony, the use of an unordered linguistic scale of measurements with adjustment coefficients for the degree of awareness and the degree of noise of the initial data. An approbation of the use of the proposed method was carried out on the example of assessing the state of the operational grouping of troops (forces). The method is proposed to be used in the development of software for automated systems of control of troops and weapons, namely, in the modernization of existing and development of new automated systems of control of troops and weapons. The evaluation of the effectiveness of the proposed method showed an increase in the efficiency of the evaluation at the level of 21–28% in terms of the efficiency of information processing.