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Information and Communications Security

Overview of attention for book
Cover of 'Information and Communications Security'

Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    Chapter 1 ECDSA on Things: IoT Integrity Protection in Practise
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    Chapter 2 Identity in the Internet-of-Things (IoT): New Challenges and Opportunities
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    Chapter 3 A Lightweight Method for Accelerating Discovery of Taint-Style Vulnerabilities in Embedded Systems
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    Chapter 4 A Self-adaptive Hopping Approach of Moving Target Defense to thwart Scanning Attacks
  6. Altmetric Badge
    Chapter 5 Research on Security Algorithm of Virtual Machine Live Migration for KVM Virtualization System
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    Chapter 6 Towards Efficient Re-encryption for Secure Client-Side Deduplication in Public Clouds
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    Chapter 7 The Security of Individual Bit for XTR
  9. Altmetric Badge
    Chapter 8 On the Robustness of Learning Parity with Noise
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    Chapter 9 The Linear Complexity and 2-Error Linear Complexity Distribution of \(2^n\) -Periodic Binary Sequences with Fixed Hamming Weight
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    Chapter 10 The Variant of Remote Set Problem on Lattices
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    Chapter 11 Compression-Based Integral Prior Classification for Improving Steganalysis
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    Chapter 12 Group Verification Based Multiple-Differential Collision Attack
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    Chapter 13 A Transparent Learning Approach for Attack Prediction Based on User Behavior Analysis
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    Chapter 14 Application of Stylometry to DarkWeb Forum User Identification
  16. Altmetric Badge
    Chapter 15 SECapacity: A Secure Capacity Scheduler in YARN
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    Chapter 16 Integrity and Authenticity Protection with Selective Disclosure Control in the Cloud & IoT
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    Chapter 17 MultiPol: Towards a Multi-policy Authorization Framework for RESTful Interfaces in the Cloud
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    Chapter 18 Provably Secure Identity-Based Identification and Signature Schemes with Parallel-PVR
  20. Altmetric Badge
    Chapter 19 Assessment of Efficient Fingerprint Image Protection Principles Using Different Types of AFIS
  21. Altmetric Badge
    Chapter 20 Medical Record System Using Blockchain, Big Data and Tokenization
  22. Altmetric Badge
    Chapter 21 Is it Good or Bad? Disclosure of Medical Ailments on Twitter
  23. Altmetric Badge
    Chapter 22 Weaknesses in Security Considerations Related to Chaos-Based Image Encryption
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    Chapter 23 Low-Cost Hardware Implementation of Elliptic Curve Cryptography for General Prime Fields
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    Chapter 24 Differential Fault Analysis on Midori
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    Chapter 25 Private Boolean Query Processing on Encrypted Data
  27. Altmetric Badge
    Chapter 26 Privacy Leakage via Attribute Inference in Directed Social Networks
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    Chapter 27 DynaEgo: Privacy-Preserving Collaborative Filtering Recommender System Based on Social-Aware Differential Privacy
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    Chapter 28 A Comprehensive Study of Co-residence Threat in Multi-tenant Public PaaS Clouds
  30. Altmetric Badge
    Chapter 29 The Threat of Virtualization: Hypervisor-Based Rootkits on the ARM Architecture
  31. Altmetric Badge
    Chapter 30 Towards Trustworthy Smart Cyber-Physical Systems
  32. Altmetric Badge
    Chapter 31 Vulnerability and Enhancement on Bluetooth Pairing and Link Key Generation Scheme for Security Modes 2 and 3
  33. Altmetric Badge
    Chapter 32 Optimizing Secure Computation Programs with Private Conditionals
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    Chapter 33 Automated Security Proof of Cryptographic Support Commands in TPM 2.0
  35. Altmetric Badge
    Chapter 34 How to Meet Big Data When Private Set Intersection Realizes Constant Communication Complexity
  36. Altmetric Badge
    Chapter 35 Novel MITM Attacks on Security Protocols in SDN: A Feasibility Study
  37. Altmetric Badge
    Chapter 36 A Practical Scheme for Data Secure Transport in VoIP Conferencing
Attention for Chapter 21: Is it Good or Bad? Disclosure of Medical Ailments on Twitter
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Mentioned by

twitter
2 tweeters

Readers on

mendeley
12 Mendeley
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Chapter title
Is it Good or Bad? Disclosure of Medical Ailments on Twitter
Chapter number 21
Book title
Information and Communications Security
Published in
Lecture notes in computer science, November 2016
DOI 10.1007/978-3-319-50011-9_21
Book ISBNs
978-3-31-950010-2, 978-3-31-950011-9
Authors

B. S. Vidyalakshmi, Raymond Wong, Vidyalakshmi, B. S., Wong, Raymond

Editors

Kwok-Yan Lam, Chi-Hung Chi, Sihan Qing

Twitter Demographics

The data shown below were collected from the profiles of 2 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 12 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 8%
Unknown 11 92%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 5 42%
Professor > Associate Professor 2 17%
Student > Postgraduate 1 8%
Other 1 8%
Lecturer > Senior Lecturer 1 8%
Other 2 17%
Readers by discipline Count As %
Computer Science 7 58%
Medicine and Dentistry 2 17%
Biochemistry, Genetics and Molecular Biology 1 8%
Social Sciences 1 8%
Unspecified 1 8%
Other 0 0%

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 14 February 2017.
All research outputs
#4,380,095
of 9,064,896 outputs
Outputs from Lecture notes in computer science
#3,238
of 6,802 outputs
Outputs of similar age
#145,548
of 312,523 outputs
Outputs of similar age from Lecture notes in computer science
#123
of 203 outputs
Altmetric has tracked 9,064,896 research outputs across all sources so far. This one is in the 49th percentile – i.e., 49% of other outputs scored the same or lower than it.
So far Altmetric has tracked 6,802 research outputs from this source. They receive a mean Attention Score of 4.0. This one has gotten more attention than average, scoring higher than 50% 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 312,523 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 50% of its contemporaries.
We're also able to compare this research output to 203 others from the same source and published within six weeks on either side of this one. This one is in the 37th percentile – i.e., 37% of its contemporaries scored the same or lower than it.