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

Iván Palomares; Harsha Kalutarage; Yan Huang; Paul Miller; Robert McCausland; Gavin McWilliams

doi:10.1109/IFSA-SCIS.2017.8023360

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

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

Research output: Chapter in Book/Report/Conference proceeding › Chapter

7 Citations (Scopus)

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 language	English
Title of host publication	IFSA-SCIS 2017 - Joint 17th World Congress of International Fuzzy Systems Association and 9th International Conference on Soft Computing and Intelligent Systems: Proceedings
Publisher	Institute of Electrical and Electronics Engineers Inc.
Number of pages	6
ISBN (Electronic)	9781509049172
ISBN (Print)	9781509049189
DOIs	https://doi.org/10.1109/IFSA-SCIS.2017.8023360
Publication status	Published - 31 Aug 2017
Event	17th Joint World Congress of International Fuzzy Systems Association and 9th International Conference on Soft Computing and Intelligent Systems, IFSA-SCIS 2017 - Otsu, Japan Duration: 27 Jun 2017 → 30 Jun 2017

Conference

Conference	17th Joint World Congress of International Fuzzy Systems Association and 9th International Conference on Soft Computing and Intelligent Systems, IFSA-SCIS 2017
Country/Territory	Japan
City	Otsu
Period	27/06/2017 → 30/06/2017

ASJC Scopus subject areas

Logic
Computational Theory and Mathematics
Computer Science Applications
Control and Optimization
Artificial Intelligence

Access to Document

10.1109/IFSA-SCIS.2017.8023360Licence: Unspecified

Cite this

Palomares, I., Kalutarage, H., Huang, Y., Miller, P., McCausland, R., & McWilliams, G. (2017). A fuzzy multicriteria aggregation method for data analytics: application to insider threat monitoring. In IFSA-SCIS 2017 - Joint 17th World Congress of International Fuzzy Systems Association and 9th International Conference on Soft Computing and Intelligent Systems: Proceedings Article 8023360 Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/IFSA-SCIS.2017.8023360

Palomares, Iván ; Kalutarage, Harsha ; Huang, Yan et al. / A fuzzy multicriteria aggregation method for data analytics: application to insider threat monitoring. IFSA-SCIS 2017 - Joint 17th World Congress of International Fuzzy Systems Association and 9th International Conference on Soft Computing and Intelligent Systems: Proceedings. Institute of Electrical and Electronics Engineers Inc., 2017.

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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.",

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Palomares, I, Kalutarage, H, Huang, Y, Miller, P, McCausland, R & McWilliams, G 2017, A fuzzy multicriteria aggregation method for data analytics: application to insider threat monitoring. in IFSA-SCIS 2017 - Joint 17th World Congress of International Fuzzy Systems Association and 9th International Conference on Soft Computing and Intelligent Systems: Proceedings., 8023360, Institute of Electrical and Electronics Engineers Inc., 17th Joint World Congress of International Fuzzy Systems Association and 9th International Conference on Soft Computing and Intelligent Systems, IFSA-SCIS 2017, Otsu, Japan, 27/06/2017. https://doi.org/10.1109/IFSA-SCIS.2017.8023360

A fuzzy multicriteria aggregation method for data analytics: application to insider threat monitoring. / Palomares, Iván; Kalutarage, Harsha; Huang, Yan et al.
IFSA-SCIS 2017 - Joint 17th World Congress of International Fuzzy Systems Association and 9th International Conference on Soft Computing and Intelligent Systems: Proceedings. Institute of Electrical and Electronics Engineers Inc., 2017. 8023360.

Research output: Chapter in Book/Report/Conference proceeding › Chapter

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T1 - A fuzzy multicriteria aggregation method for data analytics: application to insider threat monitoring

AU - Palomares, Iván

AU - Kalutarage, Harsha

AU - Huang, Yan

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AU - McWilliams, Gavin

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AB - 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.

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M3 - Chapter

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PB - Institute of Electrical and Electronics Engineers Inc.

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Palomares I, Kalutarage H, Huang Y, Miller P, McCausland R, McWilliams G. A fuzzy multicriteria aggregation method for data analytics: application to insider threat monitoring. In IFSA-SCIS 2017 - Joint 17th World Congress of International Fuzzy Systems Association and 9th International Conference on Soft Computing and Intelligent Systems: Proceedings. Institute of Electrical and Electronics Engineers Inc. 2017. 8023360 doi: 10.1109/IFSA-SCIS.2017.8023360

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

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