Cited by 24Network Security and Intrusion DetectionInformation and Cyber SecurityPrivacy-Preserving Technologies in Data

Deep Learning and Dempster-Shafer Theory Based Insider Threat Detection

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Tian, Zhihong, Shi, Wei, Tan, Zhiyuan, Qiu, Jing, Sun, Yanbin, Jiang, Feng, Liu, Yan·2024·Mobile Networks and Applications

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Crossref · 10.1007/s11036-020-01656-7

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51 of 51 references verified0 citation errors · 0 not checkable

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  • Tian et al. (2020) proposed an insider threat detection method integrating neural networks with Dempster-Shafer theory, using Attention-LSTM, resulting in 95.47% accuracy that outperforms six standard baseline anomaly detection techniques.

    “Tian et al. (2020) [55] proposed an insider threat detection method that integrates neural networks with Dempster-Shafer theory, using Attention-LSTM for multichannel processing to separate attack traffic from normal data, resulting in a 95.47% accuracy that outperforms six standard baseline anomaly detection techniques.”

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Authors
Tian, Z., Shi, W., Tan, Z., Qiu, J., Sun, Y., Jiang, F., & Liu, Y.
Affiliations
  • Guangzhou University (CN)
  • Carleton University (CA)
  • Edinburgh Napier University (GB)
  • Harbin Institute of Technology (CN)
  • Hebei University of Science and Technology (CN)
Corresponding author
  • Tian, Zhihong
  • Shi, Wei
  • Tan, Zhiyuan
  • Qiu, Jing
  • Sun, Yanbin
  • Jiang, Feng
  • Liu, Yan
Venue
Mobile Networks and Applications
Published
2020-10-09
Volume
29
Issue
5
Pages
1680-1689
ISSN
  • 1383-469X (ISSN-L)
  • 1572-8153
OpenAlex
W3092238202
Cited by
24
References
51
Citations by year
2026: 4 · 2025: 5 · 2024: 3 · 2023: 5 · 2022: 2 · 2021: 5
FWCI
1.41
Type
journal article
Language
en
Locations
  • Mobile Networks and Applications (publishedVersion)
  • Edinburgh Napier Research Repository (Edinburgh Napier University) (submittedVersion, cc-by)
  • Edinburgh Napier Research Repository (Edinburgh Napier University) (submittedVersion, other-oa)
Funders
National Natural Science Foundation of China (61871140)
Topics
  • Physical Sciences › Computer Science › Computer Networks and Communications › Network Security and Intrusion Detection
  • Physical Sciences › Computer Science › Information Systems › Information and Cyber Security
  • Physical Sciences › Computer Science › Artificial Intelligence › Privacy-Preserving Technologies in Data
Keywords
insider threat detection, Dempster-Shafer theory, deep learning, long short-term memory, multi-head attention, anomaly detection, network behavior analysis, evidence combination, CERT insider threat dataset, real-time detection

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