Intrusion Detection System for Internet of Things Based on Temporal Convolution Neural Network and E...
Intrusion Detection System for Internet of Things Based on Temporal Convolution Neural Network and Efficient Feature Engineering
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Publisher
Cairo, Egypt: Hindawi Publishing Corporation
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Language
English
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Publisher
Cairo, Egypt: Hindawi Publishing Corporation
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In the era of the Internet of Things (IoT), connected objects produce an enormous amount of data traffic that feed big data analytics, which could be used in discovering unseen patterns and identifying anomalous traffic. In this paper, we identify five key design principles that should be considered when developing a deep learning-based intrusion d...
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Full title
Intrusion Detection System for Internet of Things Based on Temporal Convolution Neural Network and Efficient Feature Engineering
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TN_cdi_proquest_journals_2474917159
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2474917159
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ISSN
1530-8669
E-ISSN
1530-8677
DOI
10.1155/2020/6689134
