A fuzzy multicriteria aggregation method for data analytics: application to insider threat monitoring

Ivan Palomares Carrascosa, Harsha Kalutarage, Yan Huang, Robert McCausland, Paul Miller, Gavin McWilliams

Research output: Chapter in Book/Report/Conference proceedingConference Contribution (Conference Proceeding)

5 Citations (Scopus)
366 Downloads (Pure)

Abstract

With the increase in volume, heterogeneity and uncertainty in data, conventional analytics approaches for monitoring users behavior in organisations are no longer sufficient for the effective and reliable detection of malicious activities. This motivates the need for introducing additional analysis techniques. This paper introduces an intelligent fusion method based on fuzzy aggregation functions typically utilized in multi-criteria decision making. The proposed method, which can be integrated with analytics systems, undertakes temporal and multi-criteria fusion processes on pre-analyzed data, to enhance effective monitoring and decision-making. An application to a prominent area of research in the cyber-security domain, the insider threat problem, is shown to validate the usefulness of our method
Original languageEnglish
Title of host publication2017 Joint 17th World Congress of International Fuzzy Systems Association and 9th International Conference on Soft Computing and Intelligent Systems (IFSA-SCIS 2017)
Subtitle of host publicationProceedings of a meeting held 27-30 June 2017, Otsu, Japan
PublisherInstitute of Electrical and Electronics Engineers (IEEE)
Pages329-334
Number of pages6
ISBN (Electronic)9781509049172
ISBN (Print)9781509049189
DOIs
Publication statusPublished - Sep 2017
EventJoint 17th World Congress of International Fuzzy Systems Association and 9th International Conference on Soft Computing and Intelligent Systems - Otsu, Japan, Otsu, Japan
Duration: 26 Jun 201730 Jun 2017

Conference

ConferenceJoint 17th World Congress of International Fuzzy Systems Association and 9th International Conference on Soft Computing and Intelligent Systems
Abbreviated titleIFSA-SCIS 2017
CountryJapan
CityOtsu
Period26/06/1730/06/17

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