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Edge Learning for 6G-enabled Internet of Things: A Comprehensive Survey of Vulnerabilities, Datasets, and Defenses
[article]
2024
arXiv
pre-print
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The ongoing deployment of the fifth generation (5G) wireless networks constantly reveals limitations concerning its original concept as a key driver of Internet of Everything (IoE) applications. ...
We summarize the existing surveys on machine learning for 6G IoT security and machine learning-associated threats in three different learning modes: centralized, federated, and distributed. ...
[94] proposed a decentralized, federated learning approach to enable anomaly detection on Internet of Things (IoT) networks. ...
arXiv:2306.10309v2
fatcat:iktyi3gfjnfplgvuemlnktes74
Technical Program
2022
2022 IEEE International Conference on Consumer Electronics (ICCE)
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Luminance percentile information based creative intent metadata is used to compensate for imagery degradation caused by ambient light. ...
Multiple sections of tone mapping curves with multiple adjustment points along explicit Bezier curve is modified for better tone mapping curve control. ...
His interests include mobile communications, wireless networks, mobile ad-hoc networks, and wireless sensor network. ...
doi:10.1109/icce53296.2022.9730380
fatcat:csqu3xqbczgdhpp3hbmvjpt26a
Next Decade of Telecommunications Artificial Intelligence
2022
CAAI Artificial Intelligence Research
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the network intelligence following 3GPP and open radio access network (O-RAN) routes, experience and intent-based network management and operation, network AI signaling system, intelligent middle-office ...
With regard to telecommunications AI, the progress of AI in the ecosystem of mobile communications was further introduced in detail, including network infrastructure, network operation and management, ...
Due to the use of cross-domain data, the future architecture of CEM can be achieved by opting for federated learning. ...
doi:10.26599/air.2022.9150003
fatcat:rkcnjthyc5fzfoilt5hktat7ky
Advanced Techniques for Monitoring and Management of Urban Water Infrastructures—An Overview
2022
Water
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This review offers support for researchers in the area of water monitoring and management to identify useful models and technologies for designing better solutions. ...
The main objective of our review is to show how emerging technologies offer support for smart administration of water infrastructures. ...
Conflicts of Interest: The authors declare no conflict of interest. ...
doi:10.3390/w14142174
fatcat:5nrq7btikbgctigl2nkvf3uelq
The Roadmap to 6G – AI Empowered Wireless Networks
[article]
2019
arXiv
pre-print
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2019 pre-print arXiv:1904.11686v1 fatcat:fqgck76abzdsdcnzlummfxorsm
The recent upsurge of diversified mobile applications, especially those supported by Artificial Intelligence (AI), is spurring heated discussions on the future evolution of wireless communications. ...
In particular, 6G will go beyond mobile Internet and will be required to support ubiquitous AI services from the core to the end devices of the network. ...
Diagnostic analytics enable autonomous detection of network faults and service impairments, identify the root causes of network anomalies, and ultimately improve the reliability and security of 6G wireless ...
arXiv:1904.11686v2
fatcat:34hysdm7pfd2jioixdx7tcqwgy
Program
2020
2020 IEEE International Conference on Consumer Electronics - Taiwan (ICCE-Taiwan)
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In recent years, it has become a popular way to extend the lifetime of wireless sensor networks (WSNs) by using mobile charger. ...
In the first experiment, a neural network did not learn well due to nan error caused by write error in phase-change memory. ...
Although the performance of these network anomaly detection systems is high in comparison to that of existing methods without machine learning methods, the use of machine learning methods for detecting ...
doi:10.1109/icce-taiwan49838.2020.9258230
fatcat:g25vw7mzvradxna2grlzp6kgiq
Generating Test Data for Insider Threat Detectors
2014
Journal of Wireless Mobile Networks, Ubiquitous Computing, and Dependable Applications
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We outline the use of a synthetic data generator to enable research progress, while discussing the benefits and limitations of synthetic insider threat data, the meaning of realism in this context, comparisons ...
The threat of malicious insider activity continues to be of paramount concern in both the public and private sectors. ...
Put more concretely, synthetic data can be useful to confirm that a system detects a particular type of anomaly when that anomaly can be defined and measured. ...
doi:10.22667/jowua.2014.06.31.080
dblp:journals/jowua/LindauerGRW14
fatcat:wf2fonhab5fczfysy6qfy62cva
Big data analytics for wireless and wired network design: A survey
2018
Computer Networks
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To the best of our knowledge, this is the first survey that addresses the use of big data analytics techniques for the design of a broad range of networks. ...
Third, there is a detailed review of the current academic and industrial efforts toward network design using big data analytics. ...
Network anomaly detection using NetFlow data Big data analytics can support the efforts in the subject of network anomaly and intrusion detection. ...
doi:10.1016/j.comnet.2018.01.016
fatcat:xqjwzzeww5c3bhyv3yrpuhsgye
Applications of Federated Learning; Taxonomy, Challenges, and Research Trends
2022
Electronics
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The federated learning technique (FL) supports the collaborative training of machine learning and deep learning models for edge network optimization. ...
The systematic literature synthesizes and compares the algorithms, models, and frameworks of federated learning. ...
However, they did not discuss the datasets used for implementation of federated learning in edge networks. ...
doi:10.3390/electronics11040670
fatcat:wfu6vof4s5euvg72nw7xaki7b4
Program
2021
2021 31st International Telecommunication Networks and Applications Conference (ITNAC)
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Traditionally, there are many existing IDS models developed using machine learning algorithms for anomaly detection. ...
And we prove by theoretical derivation and simulation experiments separately that it can not only consume about 1/4 less energy for computation and save 1/4 of parameter storage, but also achieve slightly ...
of UAV-aided network. ...
doi:10.1109/itnac53136.2021.9652165
fatcat:zb7bi7ka6fdoxgx6tgzwxy5akq
Program
2021
2021 IEEE International Conference on Consumer Electronics-Taiwan (ICCE-TW)
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of Experience of 4k Video Streams Using No-Referenced
Metrics
Celso Carvalho (Federal University of Amazonas, Brazil); Waldir Silva (Universidade
Federal do Amazonas, Brazil ...
Quality of Experience evaluation of 4k Video Streaming using Referenced
Metrics
Celso Carvalho (Federal University of Amazonas, Brazil); Waldir Silva (Universidade
Federal do ...
doi:10.1109/icce-tw52618.2021.9602919
fatcat:aetmvxb7hfah7iuucbamos2wgu
The Landscape of Modern Machine Learning: A Review of Machine, Distributed and Federated Learning
[article]
2023
arXiv
pre-print
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Our discussion encompasses parallel distributed learning, deep learning as well as federated learning. ...
technology, scientific research and consumer products. ...
Department of Energy under contract DE-AC05-76RL01830. ...
arXiv:2312.03120v1
fatcat:egbb47tdyjbupanr5e2mnwwrsq
2021 Index IEEE Internet of Things Journal Vol. 8
2021
IEEE Internet of Things Journal
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The primary entry includes the coauthors' names, the title of the paper or other item, and its location, specified by the publication abbreviation, year, month, and inclusive pagination. ...
., +, JIoT March 1, 2021 3512-3523 RNN-Based Learning of Nonlinear Dynamic System Using Wireless IIoT Networks. ...
., +, JIoT March 15, 2021 4339-4352 RNN-Based Learning of Nonlinear Dynamic System Using Wireless IIoT Networks. ...
doi:10.1109/jiot.2022.3141840
fatcat:42a2qzt4jnbwxihxp6rzosha3y
Character index
2011
2011 IEEE International Conference on Multimedia and Expo
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NEWS VIDEO STORY SENTIMENT CLASSIFICATION AND RANKING MATCHING CONTENT-BASED SALIENCY REGIONS FOR PARTIAL-DUPLICATE IMAGE RETRIEVAL Wei Jiang AUTOMATIC CONSUMER VIDEO SUMMARIZATION BY AUDIO AND VISUAL ...
Jay Kuo ON THE SECURITY OF A SECURE LEMPEL-ZIV-WELCH (LZW) CAMERA-BASED VIDEO SYNCHRONIZATION FOR A FEDERATION OF MOBILE PROJECTORS EVALUATING THE NETWORKING PERFORMANCE OF LINUX-BASED HOME ROUTER PLATFORMS ...
doi:10.1109/icme.2011.6011827
fatcat:wjy7yvkmvbbf3hj4wbyjapx5gu
Federated Learning for Big Data: A Survey on Opportunities, Applications, and Future Directions
[article]
2021
arXiv
pre-print
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To overcome this challenge, federated learning (FL) appeared to be a promising learning technique. ...
In this article, we present a survey on the use of FL for big data services and applications, aiming to provide general readers with an overview of FL, big data, and the motivations behind the use of FL ...
Acknowledgement We acknowledge the authors (Dinh, Fang, Pubudu) for the contribution of our (blockchain -big data) development. ...
arXiv:2110.04160v2
fatcat:3y2kmamdbrfmrjdxv3zh47yphu
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