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Cyber Security

Overview of attention for book
Cyber Security
Springer Nature Singapore

Table of Contents

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    Book Overview
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    Chapter 1 An Intelligent Data Flow Security Strategy Model of Cloud-Network Integration
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    Chapter 2 Applying a Random Forest Approach to Imbalanced Dataset on Network Monitoring Analysis
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    Chapter 3 Brief Analysis for Network Security Issues in Mega-Projects Approved for Data Clusters
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    Chapter 4 Considerations on Evaluation of Practical Cloud Data Protection
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    Chapter 5 A Self-supervised Adversarial Learning Approach for Network Intrusion Detection System
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    Chapter 6 Anomaly Detection of E-commerce Econnoisseur Based on User Behavior
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    Chapter 7 CMPD: Context-Based Malicious Parameter Detection for APIs
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    Chapter 8 Webpage Tampering Detection Method Based on BiGRU-CRF-RCNN
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    Chapter 10 Research on Bitcoin Anti-anonymity Technology Based on Behavior Vectors Mapping and Aligning Model
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    Chapter 11 Improving Deepfake Video Detection with Comprehensive Self-consistency Learning
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    Chapter 12 Research on Information Security Asset Value Assessment Methodology
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    Chapter 13 Knowledge Graph Construction Research From Multi-source Vulnerability Intelligence
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    Chapter 14 Research and Practice of TCP Protocol Optimization in Mobile Internet
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    Chapter 15 Research on Adversarial Patch Attack Defense Method for Traffic Sign Detection
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    Chapter 16 Research on Named Entity Recognition Method of Network Threat Intelligence
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    Chapter 17 Research on the Recognition of Internet Buzzword Features Based on Transformer
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Title
Cyber Security
Published by
Springer Nature Singapore, January 2022
DOI 10.1007/978-981-19-8285-9
ISBNs
978-9-81-198284-2, 978-9-81-198285-9
Editors

Wei Lu, Yuqing Zhang, Weiping Wen, Hanbing Yan, Chao Li

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