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dc.contributor.author Leenen, Louise
dc.contributor.author Meyer, T
dc.date.accessioned 2019-03-25T14:07:28Z
dc.date.available 2019-03-25T14:07:28Z
dc.date.issued 2018-01
dc.identifier.citation Leenen, L. and Meyer, T. 2018. Semantic technologies and big data analytics for cyber defence. Information Retrieval and Management: Concepts, Methodologies, Tools, and Applications, pp. 1375-1388 en_US
dc.identifier.isbn 9781522551911
dc.identifier.isbn 9781522551928
dc.identifier.uri https://www.igi-global.com/viewtitlesample.aspx?id=198604&ptid=187116&t=Semantic%20Technologies%20and%20Big%20Data%20Analytics%20for%20Cyber%20Defence
dc.identifier.uri https://www.igi-global.com/chapter/semantic-technologies-and-big-data-analytics-for-cyber-defence/198604
dc.identifier.uri http://hdl.handle.net/10204/10849
dc.description Copyright: 2018 IGI. Due to copyright restrictions, the attached PDF file contains the pre-print version of the published item. For access to the published version, please consult the publisher's website. en_US
dc.description.abstract The Governments, military forces and other organisations responsible for cybersecurity deal with vast amounts of data that has to be understood in order to lead to intelligent decision making. Due to the vast amounts of information pertinent to cybersecurity, automation is required for processing and decision making, specifically to present advance warning of possible threats. The ability to detect patterns in vast data sets, and being able to understanding the significance of detected patterns are essential in the cyber defence domain. Big data technologies supported by semantic technologies can improve cybersecurity, and thus cyber defence by providing support for the processing and understanding of the huge amounts of information in the cyber environment. The term big data analytics refers to advanced analytic techniques such as machine learning, predictive analysis, and other intelligent processing techniques applied to large data sets that contain different data types. The purpose is to detect patterns, correlations, trends and other useful information. Semantic technologies is a knowledge representation paradigm where the meaning of data is encoded separately from the data itself. The use of semantic technologies such as logicbased systems to support decision making is becoming increasingly popular. However, most automated systems are currently based on syntactic rules. These rules are generally not sophisticated enough to deal with the complexity of decisions required to be made. The incorporation of semantic information allows for increased understanding and sophistication in cyber defence systems. This paper argues that both big data analytics and semantic technologies are necessary to provide counter measures against cyber threats. An overview of the use of semantic technologies and big data technologies in cyber defence is provided, and important areas for future research in the combined domains are discussed. en_US
dc.language.iso en en_US
dc.publisher IGI Global en_US
dc.relation.ispartofseries Worklist;22100
dc.subject Cyber defence en_US
dc.subject Semantic technologies en_US
dc.subject Big data analytics en_US
dc.subject Decision making en_US
dc.subject Automated systems en_US
dc.title Semantic technologies and big data analytics for cyber defence en_US
dc.type Book chapter en_US


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