Zigbee as a candidate standard for use in anomaly detection in IoT LANs (English)
- New search for: Robbins, Alex
- New search for: Farag, Waleed
- New search for: Wu, Xin-Wen
- New search for: Chaudhary, Pankaj
- New search for: Robbins, Alex
- New search for: Farag, Waleed
- New search for: Wu, Xin-Wen
- New search for: Chaudhary, Pankaj
In:
Disruptive Technologies in Information Sciences V
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117510K-117510K-8
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2021
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ISBN:
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ISSN:
- Conference paper / Print
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Title:Zigbee as a candidate standard for use in anomaly detection in IoT LANs
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Contributors:Robbins, Alex ( author ) / Farag, Waleed ( author ) / Wu, Xin-Wen ( author ) / Chaudhary, Pankaj ( author )
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Conference:Disruptive Technologies in Information Sciences V
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Published in:Disruptive Technologies in Information Sciences V ; 117510K-117510K-8Proceedings of SPIE, the International Society for Optical Engineering ; 11751 ; 117510K-117510K-8
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Publisher:
- New search for: SPIE
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Publication date:2021-01-01
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Size:117510K-117510K-8
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ISBN:
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ISSN:
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Type of media:Conference paper
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Type of material:Print
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Language:English
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Source:
© Metadata Copyright the British Library Board and other contributors. All rights reserved.
Table of contents conference proceedings
The tables of contents are generated automatically and are based on the data records of the individual contributions available in the index of the TIB portal. The display of the Tables of Contents may therefore be incomplete.
- 117510B
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Deep learning to predict the modulation schemes of real OFDM signalsWang, Peng / Vindiola, Manuel / Markowski, Michael / Buxton, James et al. | 2021
- 117510C
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Aspects of hyperdimensional computing for robotics: transfer learning, cloning, extraneous sensors, and network topologyMcDonald, Nathan / Davis, Richard / Loomis, Lisa / Kopra, Johan et al. | 2021
- 117510D
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Towards adaptive and curious artificial agents: learning, perception, and planning in dynamic uncertain environmentsLevchuk, Georgiy / Lucia, Lisa / Penafiel, Louis et al. | 2021
- 117510E
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Deep neural network model optimizations for resource constrained tactical edge computing platformsDasari, Venkat R. / Geerhart, Billy E. / Wang, Peng / Alexander, David M. et al. | 2021
- 117510F
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Efficient normalization techniques to optimize AI models for deployment in tactical edgeGeerhart, Billy E. / Dasari, Venkat R. / Wang, Peng / Alexander, David M. et al. | 2021
- 117510G
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Adversarial robustness of machine learning-based indoor positioning systemsSwartz, Peter / Hobbs, Kevin / Hancock, Levi / Salih, Raed / Clark, Michael R. et al. | 2021
- 117510I
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Automating defense against adversarial attacks: discovery of vulnerabilities and application of multi-INT imagery to protect deployed modelsKalin, Josh / Noever, David / Ciolino, Matt / Hambrick, Dominick / Dozier, Gerry et al. | 2021
- 117510J
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Holistic defenses against microarchitectural attacksKasikci, Baris / Loughlin, Kevin et al. | 2021
- 117510K
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Zigbee as a candidate standard for use in anomaly detection in IoT LANsRobbins, Alex / Farag, Waleed / Wu, Xin-Wen / Chaudhary, Pankaj et al. | 2021
- 117510L
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Attritable multi-agent learningCybenko, George / Hallman, Roger A. et al. | 2021
- 117510N
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Risk management applications for disruptive technologiesPiper, John et al. | 2021
- 117510O
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Comparison of elliptical unwrapping and frontal projection for off-angle iris normalizationEhrlich, Emily / Karakaya, Mahmut et al. | 2021
- 1175101
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Front Matter: Volume 11751| 2021
- 1175109
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Implications of the quantum DNA model for information sciencesMihelic, F. Matthew et al. | 2021