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Cyber Security

Overview of attention for book
Cover of 'Cyber Security'

Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    Chapter 1 Research on Identity Authentication Method Based on Negative Logic System
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    Chapter 2 Design of Multi-dimensional Electronic Channel Unified Identity Authentication Method for Power Information System
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    Chapter 3 Extension of ISO/IEC27001 to Mobile Devices Security Management
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    Chapter 4 Android Malware Detection Method Based on Frequent Pattern and Weighted Naive Bayes
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    Chapter 5 An Overview of Blockchain Security Analysis
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    Chapter 6 Automatic and Accurate Detection of Webshell Based on Convolutional Neural Network
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    Chapter 7 End-Link Collaboration Control Mechanism in Intelligent Networks Based on Traffic Classification
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    Chapter 8 Malware Detection with Neural Network Using Combined Features
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    Chapter 9 Malicious Websites Identification Based on Active-Passive Method
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    Chapter 10 A Model of APT Attack Defense Based on Cyber Threat Detection
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    Chapter 11 A Generic Architecture to Detect Vulnerability Leaks at Crowdsourced Tests
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    Chapter 12 Security Against Network Attacks on Web Application System
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    Chapter 13 Association Visualization Analysis for the Application Service Layer and Network Control Layer
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    Chapter 14 Trusted Secure Accessing Protection Framework Based on Cloud-Channel-Device Cooperation
Attention for Chapter 8: Malware Detection with Neural Network Using Combined Features
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Citations

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Chapter title
Malware Detection with Neural Network Using Combined Features
Chapter number 8
Book title
Cyber Security
Published by
Springer, Singapore, August 2018
DOI 10.1007/978-981-13-6621-5_8
Book ISBNs
978-9-81-136620-8, 978-9-81-136621-5
Authors

Huan Zhou, Zhou, Huan

View on publisher site
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 24 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 24 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 3 13%
Student > Bachelor 2 8%
Student > Ph. D. Student 2 8%
Lecturer 1 4%
Student > Doctoral Student 1 4%
Other 4 17%
Unknown 11 46%
Readers by discipline Count As %
Computer Science 12 50%
Mathematics 1 4%
Unknown 11 46%

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