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Towards Hardware-Intrinsic Security

Overview of attention for book
Cover of 'Towards Hardware-Intrinsic Security'

Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    Chapter 1 Physically Unclonable Functions: A Study on the State of the Art and Future Research Directions
  3. Altmetric Badge
    Chapter 2 Hardware Intrinsic Security from Physically Unclonable Functions
  4. Altmetric Badge
    Chapter 3 From Statistics to Circuits: Foundations for Future Physical Unclonable Functions
  5. Altmetric Badge
    Chapter 4 Strong PUFs: Models, Constructions, and Security Proofs
  6. Altmetric Badge
    Chapter 5 Leakage Resilient Cryptography in Practice
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    Chapter 6 Memory Leakage-Resilient Encryption Based on Physically Unclonable Functions
  8. Altmetric Badge
    Chapter 7 Hardware Trojan Horses
  9. Altmetric Badge
    Chapter 8 Extracting Unknown Keys from Unknown Algorithms Encrypting Unknown Fixed Messages and Returning No Results
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    Chapter 9 License Distribution Protocols from Optical Media Fingerprints
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    Chapter 10 Anti-counterfeiting: Mixing the Physical and the Digital World
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    Chapter 11 Anti-counterfeiting, Untraceability and Other Security Challenges for RFID Systems: Public-Key-Based Protocols and Hardware
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    Chapter 12 Contactless Security Token Enhanced Security by Using New Hardware Features in Cryptographic-Based Security Mechanisms
  14. Altmetric Badge
    Chapter 13 Enhancing RFID Security and Privacy by Physically Unclonable Functions
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    Chapter 14 Authentication of Processor Hardware Leveraging Performance Limits in Detailed Simulations and Emulations
  16. Altmetric Badge
    Chapter 15 Signal Authentication in Trusted Satellite Navigation Receivers
  17. Altmetric Badge
    Chapter 16 On the Limits of Hypervisor- and Virtual Machine Monitor-Based Isolation
  18. Altmetric Badge
    Chapter 17 Efficient Secure Two-Party Computation with Untrusted Hardware Tokens (Full Version)*
  19. Altmetric Badge
    Chapter 18 Towards Reliable Remote Healthcare Applications Using Combined Fuzzy Extraction
Overall attention for this book and its chapters
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (91st percentile)
  • High Attention Score compared to outputs of the same age and source (97th percentile)

Mentioned by

patent
11 patents
wikipedia
2 Wikipedia pages

Readers on

mendeley
10 Mendeley
Summary Patents Wikipedia
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
Towards Hardware-Intrinsic Security
Published by
ADS, November 2010
DOI 10.1007/978-3-642-14452-3
ISBNs
978-3-64-214452-3, 978-3-64-214451-6
Editors

Ahmad-Reza Sadeghi, David Naccache

View on publisher site Google Preview
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 10 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 10 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 2 20%
Student > Master 2 20%
Researcher 1 10%
Unknown 5 50%
Readers by discipline Count As %
Engineering 3 30%
Computer Science 2 20%
Social Sciences 1 10%
Unknown 4 40%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 15. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 10 May 2022.
All research outputs
#2,050,868
of 23,234,261 outputs
Outputs from ADS
#1,184
of 37,605 outputs
Outputs of similar age
#7,992
of 101,388 outputs
Outputs of similar age from ADS
#7
of 346 outputs
Altmetric has tracked 23,234,261 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 91st percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 37,605 research outputs from this source. They receive a mean Attention Score of 4.6. This one has done particularly well, scoring higher than 96% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 101,388 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 91% of its contemporaries.
We're also able to compare this research output to 346 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 97% of its contemporaries.

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