СОВРЕМЕННЫЕ ПРОБЛЕМЫ КОМПЬЮТЕРНЫХ И ИНФОРМАЦИОННЫХ НАУК, III Международная научная конференция «Конвергентные когнитивно-информационные технологии»

Размер шрифта: 
DEVELOPMENT OF BI-PLATFORMS FOR CYBERSECURITY PREDICTIVE ANALYTICS
Sergey Anatolevich Petrenko, Krystina Alexandrovna Makoveichuk

Изменена: 2019-04-02

Реферат


The article considers approaches to providing security in information systems of banks and electronic commerce using multipurpose BI-platforms. The analysis of the advantages of the systems of the class Advanced Analytics (Big Data, NoSQL-storages, processing of streaming data on-line) over traditional BI-systems (ETL + SQL + reports) is made. The system features of the BI-platform of security are considered: typical agents and formats of data loading agents, possible types and model of data, the structure of the computing cluster and the gateway. An algorithm for detecting security incidents is given.