Big data analytics in support of information security

Popov, Veselin; Emilova, Petya

dc.contributor.author	Popov, Veselin
dc.contributor.author	Emilova, Petya
dc.date.accessioned	2021-02-18T11:37:25Z
dc.date.available	2021-02-18T11:37:25Z
dc.date.issued	2020-12
dc.identifier.isbn	978-9975-155-01-4
dc.identifier.uri	http://irek.ase.md:80/xmlui/handle/1234567890/1123
dc.description	POPOV, 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.	en_US
dc.description.abstract	Along 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	en_US
dc.language.iso	en	en_US
dc.publisher	ASEM	en_US
dc.subject	Big Data	en_US
dc.subject	Big Data Analytics	en_US
dc.subject	information security	en_US
dc.title	Big data analytics in support of information security	en_US
dc.type	Article	en_US