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Network Science and Cybersecurity

Overview of attention for book
Cover of 'Network Science and Cybersecurity'

Table of Contents

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    Book Overview
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    Chapter 1 Towards Fundamental Science of Cyber Security
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    Chapter 2 Bridging the Semantic Gap: Human Factors in Anomaly-Based Intrusion Detection Systems
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    Chapter 3 Recognizing Unexplained Behavior in Network Traffic
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    Chapter 4 Applying Cognitive Memory to CyberSecurity
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    Chapter 5 Understanding Cyber Warfare
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    Chapter 6 Design of Neuromorphic Architectures with Memristors
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    Chapter 7 Nanoelectronics and Hardware Security
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    Chapter 8 User Classification and Authentication for Mobile Device Based on Gesture Recognition
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    Chapter 9 Hardware-Based Computational Intelligence for Size, Weight, and Power Constrained Environments
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    Chapter 10 Machine Learning Applied to Cyber Operations
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    Chapter 11 Detecting Kernel Control-Flow Modifying Rootkits
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    Chapter 12 Formation of Artificial and Natural Intelligence in Big Data Environment
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    Chapter 13 Alert Data Aggregation and Transmission Prioritization over Mobile Networks
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    Chapter 14 Semantic Features from Web-Traffic Streams
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    Chapter 15 Concurrent Learning Algorithm and the Importance Map
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    Chapter 16 Hardware Accelerated Mining of Domain Knowledge
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    Chapter 17 Memristors and the Future of Cyber Security Hardware
Attention for Chapter 17: Memristors and the Future of Cyber Security Hardware
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Citations

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Summary Dimensions citations
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Chapter title
Memristors and the Future of Cyber Security Hardware
Chapter number 17
Book title
Network Science and Cybersecurity
Published by
Springer, New York, NY, January 2014
DOI 10.1007/978-1-4614-7597-2_17
Book ISBNs
978-1-4614-7596-5, 978-1-4614-7597-2
Authors

Michael J. Shevenell, Justin L. Shumaker, Arthur H. Edwards, Robinson E. Pino

View on publisher site
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 4 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 4 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 2 50%
Other 1 25%
Student > Master 1 25%
Readers by discipline Count As %
Computer Science 3 75%
Business, Management and Accounting 1 25%

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