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Machine Learning for Cyber Security

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Cover of 'Machine Learning for Cyber Security'

Table of Contents

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    Book Overview
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    Chapter 1 Network Data Collection, Fusion, Mining and Analytics for Cyber Security
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    Chapter 2 Malicious Web Request Detection Using Character-Level CNN
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    Chapter 3 A LBP Texture Analysis Based Liveness Detection for Face Authentication
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    Chapter 4 A Survey on Deep Learning Techniques for Privacy-Preserving
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    Chapter 5 Quantifiable Network Security Measurement: A Study Based on an Index System
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    Chapter 6 CatraDroid: A Call Trace Driven Detection of Malicious Behaiviors in Android Applications
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    Chapter 7 Password Guessing via Neural Language Modeling
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    Chapter 8 A Cooperative Placement Method for Machine Learning Workflows and Meteorological Big Data Security Protection in Cloud Computing
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    Chapter 9 A Lightweight Certificateless User Authentication Scheme for Mobile Environment
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    Chapter 10 Detection of GPS Spoofing Attack on Unmanned Aerial Vehicle System
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    Chapter 11 SwipeVLock: A Supervised Unlocking Mechanism Based on Swipe Behavior on Smartphones
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    Chapter 12 An Enumeration-Like Vector Sampling Method for Solving Approximate SVP
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    Chapter 13 Secure Multiparty Learning from Aggregation of Locally Trained Models
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    Chapter 14 Data-Driven Android Malware Intelligence: A Survey
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    Chapter 15 Semantically Secure and Verifiable Multi-keyword Search in Cloud Computing
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    Chapter 16 Content Recognition of Network Traffic Using Wavelet Transform and CNN
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    Chapter 17 Compositional Information Flow Verification for Inter Application Communications in Android System
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    Chapter 18 A Blackboard Sharing Mechanism for Community Cyber Threat Intelligence Based on Multi-Agent System
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    Chapter 19 A Lightweight Secure IoT Surveillance Framework Based on DCT-DFRT Algorithms
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    Chapter 20 Interpretable Encrypted Searchable Neural Networks
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    Chapter 21 Game Theory Based Dynamic Defense Mechanism for SDN
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    Chapter 22 A Visualization-Based Analysis on Classifying Android Malware
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    Chapter 23 Protecting the Visual Fidelity of Machine Learning Datasets Using QR Codes
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    Chapter 24 Reinforcement Learning Based UAV Trajectory and Power Control Against Jamming
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    Chapter 25 A Fair and Efficient Secret Sharing Scheme Based on Cloud Assisting
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    Chapter 26 Secure and Fast Decision Tree Evaluation on Outsourced Cloud Data
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    Chapter 27 Who Activated My Voice Assistant? A Stealthy Attack on Android Phones Without Users’ Awareness
Attention for Chapter 18: A Blackboard Sharing Mechanism for Community Cyber Threat Intelligence Based on Multi-Agent System
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Chapter title
A Blackboard Sharing Mechanism for Community Cyber Threat Intelligence Based on Multi-Agent System
Chapter number 18
Book title
Machine Learning for Cyber Security
Published by
Springer, Cham, September 2019
DOI 10.1007/978-3-030-30619-9_18
Book ISBNs
978-3-03-030618-2, 978-3-03-030619-9
Authors

Yue Lin, He Wang, Bowen Yang, Mingrui Liu, Yin Li, Yuqing Zhang, Lin, Yue, Wang, He, Yang, Bowen, Liu, Mingrui, Li, Yin, Zhang, Yuqing

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X Demographics

The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 11 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 11 100%

Demographic breakdown

Readers by professional status Count As %
Lecturer 2 18%
Student > Doctoral Student 1 9%
Student > Bachelor 1 9%
Professor 1 9%
Researcher 1 9%
Other 0 0%
Unknown 5 45%
Readers by discipline Count As %
Computer Science 2 18%
Psychology 1 9%
Economics, Econometrics and Finance 1 9%
Unknown 7 64%