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Secure IT Systems

Overview of attention for book
Cover of 'Secure IT Systems'

Table of Contents

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    Book Overview
  2. Altmetric Badge
    Chapter 1 Event-Triggered Watermarking Control to Handle Cyber-Physical Integrity Attacks
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    Chapter 2 Detecting Process-Aware Attacks in Sequential Control Systems
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    Chapter 3 Towards an Automated and Dynamic Risk Management Response System
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    Chapter 4 Understanding How Components of Organisations Contribute to Attacks
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    Chapter 5 A Stochastic Framework for Prediction of Malware Spreading in Heterogeneous Networks
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    Chapter 6 Creating and Detecting IPv6 Transition Mechanism-Based Information Exfiltration Covert Channels
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    Chapter 7 ML: DDoS Damage Control with MPLS
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    Chapter 8 Empirical Analysis on the Use of Dynamic Code Updates in Android and Its Security Implications
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    Chapter 9 Evaluation of Resource-Based App Repackaging Detection in Android
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    Chapter 10 A Survey on Internal Interfaces Used by Exploits and Implications on Interface Diversification
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    Chapter 11 A Tale of the OpenSSL State Machine: A Large-Scale Black-Box Analysis
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    Chapter 12 Speeding up R-LWE Post-quantum Key Exchange
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    Chapter 13 Efficient Sparse Merkle Trees
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    Chapter 14 Secure Multiparty Sorting Protocols with Covert Privacy
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    Chapter 15 Passphone: Outsourcing Phone-Based Web Authentication While Protecting User Privacy
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    Chapter 16 Secure, Usable and Privacy-Friendly User Authentication from Keystroke Dynamics
Attention for Chapter 13: Efficient Sparse Merkle Trees
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Chapter title
Efficient Sparse Merkle Trees
Chapter number 13
Book title
Secure IT Systems
Published by
Springer, Cham, November 2016
DOI 10.1007/978-3-319-47560-8_13
Book ISBNs
978-3-31-947559-2, 978-3-31-947560-8
Authors

Rasmus Dahlberg, Tobias Pulls, Roel Peeters, Dahlberg, Rasmus, Pulls, Tobias, Peeters, Roel

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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 45 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 45 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 16 36%
Other 7 16%
Researcher 7 16%
Student > Master 5 11%
Student > Bachelor 1 2%
Other 5 11%
Unknown 4 9%
Readers by discipline Count As %
Computer Science 34 76%
Engineering 3 7%
Business, Management and Accounting 1 2%
Physics and Astronomy 1 2%
Economics, Econometrics and Finance 1 2%
Other 0 0%
Unknown 5 11%