Titlebook: Machine Learning for Cyber Security; 4th International Co Yuan Xu,Hongyang Yan,Jin Li Conference proceedings 2023 The Editor(s) (if applica

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书目名称Machine Learning for Cyber Security影响因子(影响力)




书目名称Machine Learning for Cyber Security影响因子(影响力)学科排名




书目名称Machine Learning for Cyber Security网络公开度




书目名称Machine Learning for Cyber Security网络公开度学科排名




书目名称Machine Learning for Cyber Security被引频次




书目名称Machine Learning for Cyber Security被引频次学科排名




书目名称Machine Learning for Cyber Security年度引用




书目名称Machine Learning for Cyber Security年度引用学科排名




书目名称Machine Learning for Cyber Security读者反馈




书目名称Machine Learning for Cyber Security读者反馈学科排名

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Conference proceedings 2023ng for Cyber Security, ML4CS 2022, which taking place during December 2–4, 2022, held in Guangzhou, China.. .The 100 full papers and 46 short papers were included in these proceedings were carefully reviewed and selected from 367 submissions..

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978-3-031-20098-4The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl

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Machine Learning for Cyber Security978-3-031-20099-1Series ISSN 0302-9743 Series E-ISSN 1611-3349

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0302-9743 ine Learning for Cyber Security, ML4CS 2022, which taking place during December 2–4, 2022, held in Guangzhou, China.. .The 100 full papers and 46 short papers were included in these proceedings were carefully reviewed and selected from 367 submissions..978-3-031-20098-4978-3-031-20099-1Series ISSN 0

Control-Group

Conference proceedings 2023ng for Cyber Security, ML4CS 2022, which taking place during December 2–4, 2022, held in Guangzhou, China.. .The 100 full papers and 46 short papers were included in these proceedings were carefully reviewed and selected from 367 submissions..

asthma

,Highway: A Super Pipelined Parallel BFT Consensus Algorithm for Permissioned Blockchain,ized high-performance BFT consensus algorithm that supports decentralized management. Our algorithm is a state machine replication protocol based on a partial synchrony model. Our approach has an 18.–50. throughput improvement over HotStuff and can reach millions of throughput at 1000 Mbps networks.

infarct

,Bipolar Picture Fuzzy Graph Based Multiple Attribute Decision Making Approach–Part I,ulated in the bipolar picture fuzzy graph framework, and decision making algorithms are designed to characterize the relationships among attributes. The numerical example is introduced in this paper to show how to handle the MADM problem in terms of bipolar picture graph model.