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Novel EEG Sensor-Based Risk Framework for the Detection of Insider Threats in Safety Critical Industrial Infrastructure

  • Published:2020 Issue: Volume:8 Page:206222-206234
  • ISSN:2169-3536
  • Container-title:IEEE Access
  • language:
  • Short-container-title:IEEE Access

Author:

Al Hammadi Ahmed Y.ORCID,Lee Dongkun,Yeun Chan YeobORCID,Damiani ErnestoORCID,Kim Song-KyooORCID,Yoo Paul D.ORCID,Choi Ho-Jin

Funder

Center for Cyber-Physical Systems, Khalifa University

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science

Cited by 13 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Insider threat detection in cyber-physical systems: a systematic literature review;Computers and Electrical Engineering;2024-10

2. Tracking user trust and mental states during cyber-attacks: A survey of existing methods and future research directions on AI-enabled decision-making for the Royal Canadian Navy;2024 IEEE 4th International Conference on Human-Machine Systems (ICHMS);2024-05-15

3. AI-Driven Scalable Authentication Framework Using ECG and EEG Biometrics for Enhanced Digital Security;2024 15th Annual Undergraduate Research Conference on Applied Computing (URC);2024-04-24

4. Reputation-Based Federated Learning Defense to Mitigate Threats in EEG Signal Classification;2024 16th International Conference on Computer and Automation Engineering (ICCAE);2024-03-14

5. Multimodal Biometric Authentication Systems: Exploring Iris and EEG Data;2024 2nd International Conference on Cyber Resilience (ICCR);2024-02-26
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