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Big data analytics in support of information security

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cris.sourceIdoai:irek.ase.md:1234567890/1123
dc.creatorPopov, Veselin
dc.creatorEmilova, Petya
dc.date2021-02-18T11:37:25Z
dc.date2021-02-18T11:37:25Z
dc.date2020-12
dc.date.accessioned2023-11-13T10:13:31Z
dc.date.available2023-11-13T10:13:31Z
dc.descriptionPOPOV, Veselin, EMILOVA, Petya. Big data analytics in support of information security. In: Economic security in the context of sustenable development [online]: The Collection of the International Scientific-Practical Conference, December 11, 2020, ASEM, Chișinău, Moldova. Chişinău: ASEM, 2021, pp. 253-257. ISBN 978-9975-155-01-4.
dc.descriptionAlong with the many opportunities that Big Data provides to users (business users and individuals), it brings many threats to society, businesses and individuals. At the same time, Big Data Analytics has established itself as an effective tool in many areas of modern information processing, including the area of information security. Big Data technologies used in security systems are able to detect threats in advance. By providing tools for collecting and analysing large amounts of digital information generated from different sources or recorded by different devices, BDA helps to detect and define patterns and trends of malicious behaviour, search for methods to track cybercriminals, predict and stop potential cyber-attacks. This report focuses on the problems and challenges of protecting Big Data in these two aspects. JEL: D80
dc.formatapplication/pdf
dc.identifier978-9975-155-01-4
dc.identifierhttp://irek.ase.md:80/xmlui/handle/1234567890/1123
dc.identifier.urihttps://cris.ase.md/handle/123456789/2298
dc.languageen
dc.publisherASEM
dc.subjectBig Data
dc.subjectBig Data Analytics
dc.subjectinformation security
dc.titleBig data analytics in support of information security
dc.typeArticle
dspace.entity.typePublication
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