Ambient intelligence approach: Internet of Things based decision performance analysis for intrusion detection
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Title
Ambient intelligence approach: Internet of Things based decision performance analysis for intrusion detection
Authors
Keywords
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Journal
COMPUTER COMMUNICATIONS
Volume 195, Issue -, Pages 315-322
Publisher
Elsevier BV
Online
2022-09-13
DOI
10.1016/j.comcom.2022.09.007
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Related references
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- (2019) P. Suresh et al. COMPUTER COMMUNICATIONS
- Machine Learning Based Intrusion Detection Systems for IoT Applications
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- Semi-supervised learning based distributed attack detection framework for IoT
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- Distributed attack detection scheme using deep learning approach for Internet of Things
- (2018) Abebe Abeshu Diro et al. Future Generation Computer Systems-The International Journal of eScience
- Deep Learning: The Frontier for Distributed Attack Detection in Fog-to-Things Computing
- (2018) Abebe Abeshu et al. IEEE COMMUNICATIONS MAGAZINE
- Ensemble learning for data stream analysis: A survey
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- A Deep Learning Approach for Intrusion Detection Using Recurrent Neural Networks
- (2017) Chuanlong Yin et al. IEEE Access
- False alarm minimization techniques in signature-based intrusion detection systems: A survey
- (2014) Neminath Hubballi et al. COMPUTER COMMUNICATIONS
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