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Cybersecurity Threats Detection In IoT Using Krill Based Deep Neural Network Stacked Auto Encoders

2021-04-14

Abstract excerpt

<title>Abstract</title> <p>The Internet of things (IoT) has concerned much significance for some manufacturing sectors including clinical fields, co-ordinations following, savvy urban communities, and automobiles. Anyway as a worldview, it is sensitive to different sorts of cyber-attacks. Customary very good quality security resolutions for guarantee an IoT structure are not reasonable. This deduces clever organi...

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Literature Corpus work
4b6f2e77-57ad-5ec1-9b44-f7fd5c38b094
DOI
10.21203/rs.3.rs-349982/v1
Open publication

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Cybersecurity Threats Detection In IoT Using Krill Based Deep Neural Network Stacked Auto EncodersDOI 10.21203/rs.3.rs-349982/v1
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