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Security in Computer and Information Sciences

Overview of attention for book
Cover of 'Security in Computer and Information Sciences'

Table of Contents

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    Book Overview
  2. Altmetric Badge
    Chapter 1 Some Current Cybersecurity Research in Europe
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    Chapter 2 KONFIDO: An OpenNCP-Based Secure eHealth Data Exchange System
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    Chapter 3 Random Number Generation from a Secure Photonic Physical Unclonable Hardware Module
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    Chapter 4 Building an Ethical Framework for Cross-Border Applications: The KONFIDO Project
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    Chapter 5 Blockchain-Based Logging for the Cross-Border Exchange of eHealth Data in Europe
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    Chapter 6 Problem Domain Analysis of IoT-Driven Secure Data Markets
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    Chapter 7 GHOST - Safe-Guarding Home IoT Environments with Personalised Real-Time Risk Control
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    Chapter 8 Deep Learning with Dense Random Neural Networks for Detecting Attacks Against IoT-Connected Home Environments
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    Chapter 9 Using Blockchains to Strengthen the Security of Internet of Things
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    Chapter 10 Research and Innovation Action for the Security of the Internet of Things: The SerIoT Project
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    Chapter 11 Towards a Mobile Malware Detection Framework with the Support of Machine Learning
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    Chapter 12 Signalling Attacks in Mobile Telephony
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    Chapter 13 Static Analysis-Based Approaches for Secure Software Development
Attention for Chapter 7: GHOST - Safe-Guarding Home IoT Environments with Personalised Real-Time Risk Control
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Citations

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17 Dimensions

Readers on

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48 Mendeley
Summary Dimensions citations
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Chapter title
GHOST - Safe-Guarding Home IoT Environments with Personalised Real-Time Risk Control
Chapter number 7
Book title
Security in Computer and Information Sciences
Published by
Springer, Cham, February 2018
DOI 10.1007/978-3-319-95189-8_7
Book ISBNs
978-3-31-995188-1, 978-3-31-995189-8
Authors

A. Collen, N. A. Nijdam, J. Augusto-Gonzalez, S. K. Katsikas, K. M. Giannoutakis, G. Spathoulas, E. Gelenbe, K. Votis, D. Tzovaras, N. Ghavami, M. Volkamer, P. Haller, A. Sánchez, M. Dimas, Collen, A., Nijdam, N. A., Augusto-Gonzalez, J., Katsikas, S. K., Giannoutakis, K. M., Spathoulas, G., Gelenbe, E., Votis, K., Tzovaras, D., Ghavami, N., Volkamer, M., Haller, P., Sánchez, A., Dimas, M.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 48 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 48 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 9 19%
Student > Master 8 17%
Researcher 4 8%
Other 4 8%
Student > Doctoral Student 2 4%
Other 5 10%
Unknown 16 33%
Readers by discipline Count As %
Computer Science 24 50%
Engineering 4 8%
Agricultural and Biological Sciences 2 4%
Arts and Humanities 1 2%
Social Sciences 1 2%
Other 1 2%
Unknown 15 31%

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