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An Integrated Imbalanced Learning and Deep Neural Network Model for Insider Threat Detection

An Integrated Imbalanced Learning and Deep Neural Network Model for Insider Threat Detection

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2655118950

An Integrated Imbalanced Learning and Deep Neural Network Model for Insider Threat Detection

About this item

Full title

An Integrated Imbalanced Learning and Deep Neural Network Model for Insider Threat Detection

Publisher

West Yorkshire: Science and Information (SAI) Organization Limited

Journal title

International journal of advanced computer science & applications, 2021, Vol.12 (1)

Language

English

Formats

Publication information

Publisher

West Yorkshire: Science and Information (SAI) Organization Limited

More information

Scope and Contents

Contents

The insider threat is a vital security problem concern in both the private and public sectors. A lot of approaches available for detecting and mitigating insider threats. However, the implementation of an effective system for insider threats detection is still a challenging task. In previous work, the Machine Learning (ML) technique was proposed in...

Alternative Titles

Full title

An Integrated Imbalanced Learning and Deep Neural Network Model for Insider Threat Detection

Authors, Artists and Contributors

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_proquest_journals_2655118950

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2655118950

Other Identifiers

ISSN

2158-107X

E-ISSN

2156-5570

DOI

10.14569/IJACSA.2021.0120166

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