Publication:
Capturing push-processing using enriched semantic mesh equipped with functionals-and-hops model

Дата
2020
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Journal ISSN
Volume Title
Издатель
Научные группы
Организационные подразделения
Организационная единица
Институт интеллектуальных кибернетических систем
Цель ИИКС и стратегия развития - это подготовка кадров, способных противостоять современным угрозам и вызовам, обладающих знаниями и компетенциями в области кибернетики, информационной и финансовой безопасности для решения задач разработки базового программного обеспечения, повышения защищенности критически важных информационных систем и противодействия отмыванию денег, полученных преступным путем, и финансированию терроризма.
Выпуск журнала
Аннотация
© 2020 The Authors. Published by Elsevier B.V.One of the aims of this paper is to study how to define meshes, a kind of wireframe semantic models hidden behind the variety of external forms of manifestation of information processes on the Web. Their purpose is to fix non-logical patterns, some of which are constant, and some of then are varying with time/events. An enriched semantic model arises at the next stage of knowledge extraction and establishes conceptual dependencies in the form of a graph in which the nodes correspond to variable domains and/or variable concepts, and the edges are natural transformations. A computational model based on parametric functionals is generated. The areas of semantic stability are the imposed conditions of commutativity, which correspond to the emergence of information channels and the possibility of their equal use for promoting information over the network. In the computational model, this gives rise to a machinery for preventing confusion/entanglement of information processes based on the equality of representing functionals. Arguments in favor of its importance are given by the example of some tasks of social engineering (phishing).
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Цитирование
Capturing push-processing using enriched semantic mesh equipped with functionals-and-hops model / Kosikov, S. [et al.] // Procedia Computer Science. - 2020. - 169. - P. 590-596. - 10.1016/j.procs.2020.02.205
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