Please use this identifier to cite or link to this item: https://irek.ase.md:443/xmlui/handle/1234567890/1123
Title: Big data analytics in support of information security
Authors: Popov, Veselin
Emilova, Petya
Keywords: Big Data
Big Data Analytics
information security
Issue Date: Dec-2020
Publisher: ASEM
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
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.
URI: http://irek.ase.md:80/xmlui/handle/1234567890/1123
ISBN: 978-9975-155-01-4
Appears in Collections:2.Articole

Files in This Item:
File Description SizeFormat 
Popov_V_Emilova_P_ Materialele conferintei ASEM_11-Decembrie 2020.pdf282.71 kBAdobe PDFThumbnail
View/Open


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.