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Multimedia Security

Overview of attention for book
Cover of 'Multimedia Security'

Table of Contents

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    Book Overview
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    Chapter 1 Securing Medical Images via a Texture and Chaotic Key Framework
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    Chapter 3 Image Encryption Based on DNA Substitution and Chaotic Theory
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    Chapter 4 Impact of Computational Power on Cryptography
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    Chapter 5 Privacy Preserving Anti-forensic Techniques
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    Chapter 6 Information Embedding Using DNA Sequences for Covert Communication
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    Chapter 7 Information Hiding in Color Images Utilizing Multi-bit Substitution Patterns
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    Chapter 8 Data Embedding in Color Images: A Secure Data Communication Framework Based on Modular Arithmetic
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    Chapter 9 Survey on Reversible Watermarking Techniques for Medical Images
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    Chapter 10 Security and Privacy of E-health Data
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    Chapter 11 Implementation of Intrusion Detection System for Internet of Things Using Machine Learning Techniques
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    Chapter 12 An Efficient Approach for Phishing Detection using Machine Learning
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    Chapter 13 Use of Blockchain and Internet of Things for Securing Data in Healthcare Systems
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    Chapter 14 Asset Security in Data of Internet of Things Using Blockchain Technology
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    Chapter 15 Review of Secure Distributed Range-Free Hop-Based Localization Algorithms in the Wireless Sensor Networks
Attention for Chapter 12: An Efficient Approach for Phishing Detection using Machine Learning
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Citations

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51 Mendeley
Summary Dimensions citations
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Chapter title
An Efficient Approach for Phishing Detection using Machine Learning
Chapter number 12
Book title
Multimedia Security
Published by
Springer, Singapore, January 2021
DOI 10.1007/978-981-15-8711-5_12
Book ISBNs
978-9-81-158710-8, 978-9-81-158711-5
Authors

Gandotra, Ekta, Gupta, Deepak

View on publisher site
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 51 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 51 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 5 10%
Student > Ph. D. Student 4 8%
Student > Bachelor 3 6%
Unspecified 2 4%
Student > Doctoral Student 1 2%
Other 5 10%
Unknown 31 61%
Readers by discipline Count As %
Computer Science 15 29%
Unspecified 2 4%
Pharmacology, Toxicology and Pharmaceutical Science 1 2%
Agricultural and Biological Sciences 1 2%
Unknown 32 63%

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