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Overview of attention for book
Cover of 'Cyberpatterns'

Table of Contents

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    Book Overview
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    Chapter 1 Cyberpatterns: Towards a Pattern Oriented Study of Cyberspace
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    Chapter 2 Towards a Conceptual Framework for Security Patterns
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    Chapter 3 Design Patterns: Applications and Open Issues
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    Chapter 4 Challenges for a Formal Framework for Patterns
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    Chapter 5 Towards a General Theory of Patterns
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    Chapter 6 Extending AOP Principles for the Description of Network Security Patterns
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    Chapter 7 Management Patterns for Network Resilience: Design and Verification of Policy Configurations
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    Chapter 8 A Heuristic Approach for Secure Service Composition Adaptation
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    Chapter 9 A Strategy for Structuring and Formalising Attack Patterns
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    Chapter 10 Attack Pattern Recognition Through Correlating Cyber Situational Awareness in Computer Networks
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    Chapter 11 Towards a Penetration Testing Framework Using Attack Patterns
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    Chapter 12 A Method for Resolving Security Vulnerabilities Through the Use of Design Patterns
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    Chapter 13 'Weird Machine' patterns
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    Chapter 14 Towards a Simulation of Information Security Behaviour in Organisations
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    Chapter 15 Security Design Patterns in the MASTER Workbench
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    Chapter 16 Evaluating the Implications of Attack and Security Patterns with Premortems
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    Chapter 17 An Overview of Artificial Intelligence Based Pattern Matching in a Security and Digital Forensic Context
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    Chapter 18 Partitional Clustering of Malware Using K-Means
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    Chapter 19 Dynamic Monitoring of Composed Services
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    Chapter 20 Where has this Hard Disk Been?: Extracting Geospatial Intelligence from Digital Storage Systems
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    Chapter 21 Future Directions for Research on Cyberpatterns
Overall attention for this book and its chapters
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Mentioned by

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30 Mendeley
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Published by
Springer International Publishing, May 2014
DOI 10.1007/978-3-319-04447-7
978-3-31-904446-0, 978-3-31-904447-7

Blackwell, Clive, Zhu, Hong

Mendeley readers

The data shown below were compiled from readership statistics for 30 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 30 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 9 30%
Student > Master 5 17%
Student > Bachelor 4 13%
Student > Doctoral Student 2 7%
Researcher 2 7%
Other 4 13%
Unknown 4 13%
Readers by discipline Count As %
Computer Science 18 60%
Arts and Humanities 3 10%
Engineering 2 7%
Economics, Econometrics and Finance 1 3%
Unknown 6 20%