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Titlebook: Networked Systems; 11th International C David Mohaisen,Thomas Wies Conference proceedings 2023 The Editor(s) (if applicable) and The Author

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发表于 2025-3-21 16:28:25 | 显示全部楼层 |阅读模式
书目名称Networked Systems
副标题11th International C
编辑David Mohaisen,Thomas Wies
视频video
丛书名称Lecture Notes in Computer Science
图书封面Titlebook: Networked Systems; 11th International C David Mohaisen,Thomas Wies Conference proceedings 2023 The Editor(s) (if applicable) and The Author
描述.This book constitutes the refereed proceedings of the 11th International Conference on Networked Systems, NETYS 2023, held in Benguerir, Morocco, during May 22–24, 2023...The 9 full papers and 3 short papers presented were carefully reviewed and selected from 31 submissions. .The scope of the conference covers all aspects related to the design and the development of these systems, including, e.g., cloud systems, formal verification, concurrent and distributed algorithms, data management, data science, parallel/concurrent/distributed programming, machine learning, multi-core architectures, networks, and security..
出版日期Conference proceedings 2023
关键词Computer Science; Informatics; Conference Proceedings; Research; Applications
版次1
doihttps://doi.org/10.1007/978-3-031-37765-5
isbn_softcover978-3-031-37764-8
isbn_ebook978-3-031-37765-5Series ISSN 0302-9743 Series E-ISSN 1611-3349
issn_series 0302-9743
copyrightThe Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl
The information of publication is updating

书目名称Networked Systems影响因子(影响力)




书目名称Networked Systems影响因子(影响力)学科排名




书目名称Networked Systems网络公开度




书目名称Networked Systems网络公开度学科排名




书目名称Networked Systems被引频次




书目名称Networked Systems被引频次学科排名




书目名称Networked Systems年度引用




书目名称Networked Systems年度引用学科排名




书目名称Networked Systems读者反馈




书目名称Networked Systems读者反馈学科排名




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Case Study on the Performance of ML-Based Network Intrusion Detection Systems in SDNring, and model architecture. In this article, we conducted a comparative study of several ML models on the InSDN dataset. The results showed that the DT model performs well with only 7 out of the 83 features in the InSDN dataset, reducing the training time from 10 to 0.5 s.
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A Formal Analysis of Karn’s Algorithmnt a formal description of the algorithm, and study its properties. We prove the computed samples reflect the RTT of some packets, but it is not always possible to determine which. We then study some of the properties of RTO computations as described in the commonly used RFC6298. All properties are mechanically verified.
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Conference proceedings 2023rence covers all aspects related to the design and the development of these systems, including, e.g., cloud systems, formal verification, concurrent and distributed algorithms, data management, data science, parallel/concurrent/distributed programming, machine learning, multi-core architectures, networks, and security..
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