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Multimedia Forensics and Security

Overview of attention for book
Cover of 'Multimedia Forensics and Security'

Table of Contents

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    Book Overview
  2. Altmetric Badge
    Chapter 1 Cloud Computing Forensic Analysis: Trends and Challenges
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    Chapter 2 Data Storage Security Service in Cloud Computing: Challenges and Solutions
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    Chapter 3 Homomorphic Cryptosystems for Securing Data in Public Cloud Computing
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    Chapter 4 An Enhanced Cloud Based View Materialization Approach for Peer-to-Peer Architecture
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    Chapter 5 Distributed Database System (DSS) Design Over a Cloud Environment
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    Chapter 6 A New Stemming Algorithm for Efficient Information Retrieval Systems and Web Search Engines
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    Chapter 7 Face Recognition via Taxonomy of Illumination Normalization
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    Chapter 8 Detecting Significant Changes in Image Sequences
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    Chapter 9 VW16E: A Robust Video Watermarking Technique Using Simulated Blocks
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    Chapter 10 A Robust and Computationally Efficient Digital Watermarking Technique Using Inter Block Pixel Differencing
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    Chapter 11 JPEG2000 Compatible Layered Block Cipher
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    Chapter 12 Data Streams Processing Techniques
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    Chapter 13 Evidence Evaluation of Gait Biometrics for Forensic Investigation
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    Chapter 14 Formal Acceptability of Digital Evidence
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    Chapter 15 A Comprehensive Android Evidence Acquisition Framework
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    Chapter 16 A New Hybrid Cryptosystem for Internet of Things Applications
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    Chapter 17 A Practical Procedure for Collecting More Volatile Information in Live Investigation of Botnet Attack
Overall attention for this book and its chapters
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (93rd percentile)

Mentioned by

twitter
36 X users
googleplus
1 Google+ user

Citations

dimensions_citation
5 Dimensions

Readers on

mendeley
45 Mendeley
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Title
Multimedia Forensics and Security
Published by
Intelligent Systems Reference Library, January 2017
DOI 10.1007/978-3-319-44270-9
ISBNs
978-3-31-944268-6, 978-3-31-944270-9
Editors

Aboul Ella Hassanien, Mohamed Mostafa Fouad, Azizah Abdul Manaf, Mazdak Zamani, Rabiah Ahmad, Janusz Kacprzyk

X Demographics

X Demographics

The data shown below were collected from the profiles of 36 X users 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 2 4%
Student > Master 2 4%
Student > Bachelor 1 2%
Professor > Associate Professor 1 2%
Unknown 39 87%
Readers by discipline Count As %
Computer Science 4 9%
Business, Management and Accounting 1 2%
Agricultural and Biological Sciences 1 2%
Unknown 39 87%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 32. 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 09 September 2017.
All research outputs
#1,283,748
of 25,992,468 outputs
Outputs from Intelligent Systems Reference Library
#1
of 1 outputs
Outputs of similar age
#25,692
of 425,695 outputs
Outputs of similar age from Intelligent Systems Reference Library
#1
of 1 outputs
Altmetric has tracked 25,992,468 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 95th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 31.4. This one scored the same or higher as 0 of them.
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 425,695 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 93% of its contemporaries.
We're also able to compare this research output to 1 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them