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Security and Privacy in Communication Networks

Overview of attention for book
Cover of 'Security and Privacy in Communication Networks'

Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    Chapter 1 A Secure Remote Monitoring Framework Supporting Efficient Fine-Grained Access Control and Data Processing in IoT
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    Chapter 2 Securing the Smart Home via a Two-Mode Security Framework
  4. Altmetric Badge
    Chapter 3 Out of Kilter: Holistic Exploitation of Denial of Service in Internet of Things
  5. Altmetric Badge
    Chapter 4 Augmented Chain of Ownership: Configuring IoT Devices with the Help of the Blockchain
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    Chapter 5 Secure and Efficient Multi-Party Directory Publication for Privacy-Preserving Data Sharing
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    Chapter 6 A Formal Logic Framework for the Automation of the Right to Be Forgotten
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    Chapter 7 Privacy-Preserving Biometric-Based Remote User Authentication with Leakage Resilience
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    Chapter 8 Differentially Private High-Dimensional Data Publication via Markov Network
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    Chapter 9 Automated Identification of Sensitive Data via Flexible User Requirements
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    Chapter 10 Understanding Android Obfuscation Techniques: A Large-Scale Investigation in the Wild
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    Chapter 11 Transparent Low-Latency Network Anonymisation for Mobile Devices
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    Chapter 12 Inferring UI States of Mobile Applications Through Power Side Channel Exploitation
  14. Altmetric Badge
    Chapter 13 PoliteCamera: Respecting Strangers’ Privacy in Mobile Photographing
  15. Altmetric Badge
    Chapter 14 Lexical Mining of Malicious URLs for Classifying Android Malware
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    Chapter 15 GranDroid: Graph-Based Detection of Malicious Network Behaviors in Android Applications
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    Chapter 16 FGFDect: A Fine-Grained Features Classification Model for Android Malware Detection
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    Chapter 17 An Adaptive Primary User Emulation Attack Detection Mechanism for Cognitive Radio Networks
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    Chapter 18 VeReMi: A Dataset for Comparable Evaluation of Misbehavior Detection in VANETs
  20. Altmetric Badge
    Chapter 19 Birds of a Feather Flock Together: Fuzzy Extractor and Gait-Based Robust Group Secret Key Generation for Smart Wearables
  21. Altmetric Badge
    Chapter 20 Unchained Identities: Putting a Price on Sybil Nodes in Mobile Ad Hoc Networks
  22. Altmetric Badge
    Chapter 21 Understanding the Hidden Cost of Software Vulnerabilities: Measurements and Predictions
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    Chapter 22 Privacy-Enhanced Fraud Detection with Bloom Filters
  24. Altmetric Badge
    Chapter 23 FriSM: Malicious Exploit Kit Detection via Feature-Based String-Similarity Matching
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    Chapter 24 A Machine Learning Framework for Studying Domain Generation Algorithm (DGA)-Based Malware
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    Chapter 25 Se-Lambda: Securing Privacy-Sensitive Serverless Applications Using SGX Enclave
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    Chapter 26 CAVAS: Neutralizing Application and Container Security Vulnerabilities in the Cloud Native Era
  28. Altmetric Badge
    Chapter 27 Shuffler: Mitigate Cross-VM Side-Channel Attacks via Hypervisor Scheduling
  29. Altmetric Badge
    Chapter 28 Building Your Private Cloud Storage on Public Cloud Service Using Embedded GPUs
  30. Altmetric Badge
    Chapter 29 Secure and Efficient Outsourcing of Large-Scale Overdetermined Systems of Linear Equations
  31. Altmetric Badge
    Chapter 30 Privacy-Preserving Multiparty Learning for Logistic Regression
  32. Altmetric Badge
    Chapter 31 Privacy-Preserving Outsourcing of Large-Scale Nonlinear Programming to the Cloud
  33. Altmetric Badge
    Chapter 32 A Verifiable and Dynamic Multi-keyword Ranked Search Scheme over Encrypted Cloud Data with Accuracy Improvement
Attention for Chapter 13: PoliteCamera: Respecting Strangers’ Privacy in Mobile Photographing
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Mentioned by

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1 X user

Citations

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1 Dimensions

Readers on

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7 Mendeley
Summary X Dimensions citations
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Chapter title
PoliteCamera: Respecting Strangers’ Privacy in Mobile Photographing
Chapter number 13
Book title
Security and Privacy in Communication Networks
Published in
arXiv, August 2018
DOI 10.1007/978-3-030-01701-9_13
Book ISBNs
978-3-03-001700-2, 978-3-03-001701-9
Authors

Ang Li, Wei Du, Qinghua Li, Li, Ang, Du, Wei, Li, Qinghua

View on publisher site
X Demographics

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

Geographical breakdown

Country Count As %
Unknown 7 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 2 29%
Student > Master 1 14%
Unknown 4 57%
Readers by discipline Count As %
Computer Science 2 29%
Agricultural and Biological Sciences 1 14%
Engineering 1 14%
Unknown 3 43%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 07 June 2020.
All research outputs
#20,547,611
of 23,120,280 outputs
Outputs from arXiv
#679,290
of 950,929 outputs
Outputs of similar age
#289,031
of 331,192 outputs
Outputs of similar age from arXiv
#20,543
of 23,174 outputs
Altmetric has tracked 23,120,280 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 950,929 research outputs from this source. They receive a mean Attention Score of 3.9. This one is in the 1st percentile – i.e., 1% of its peers scored the same or lower than it.
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 331,192 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 23,174 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.

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