Применение автоматизированной автороведческой экспертизы в системах защиты интеллектуальных ресурсов промышленного предприятия

Abstract

The aim of the study is to create a methodology for using automated authorship expertise in the systems for protecting the intellectual resources of an industrial enterprise. The methodology is based on the principle of complex linguistic analysis of textual information transmitted by employees among themselves, as well as to the enterprise’s customers and suppliers. The analysis is based on a comparison of data on the text parameters that characterize the author’s personality. The novelty of the work is the proposed creative concept of using automated authorship expertise as an auxiliary tool for protecting strategically important resources. To optimise information processing and minimize network load, the article proposes a mechanism for preliminary text analysis on the client side of the module. The study results are recommendations for creating a module of authorship expertise, as well as embedding the module into the infrastructure of the enterprise’s automated systems