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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
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    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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Mentioned by

38 tweeters
1 Google+ user


2 Dimensions

Readers on

45 Mendeley
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Multimedia Forensics and Security
Published by
Springer International Publishing, January 2017
DOI 10.1007/978-3-319-44270-9
978-3-31-944268-6, 978-3-31-944270-9

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

Twitter Demographics

The data shown below were collected from the profiles of 38 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 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%