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Advances in Security of Information and Communication Networks

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

Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    Chapter 1 NETA: Evaluating the Effects of NETwork Attacks. MANETs as a Case Study
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    Chapter 2 Clustering Based Group Key Management for MANET
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    Chapter 3 Chord-Enabled Key Storage and Lookup Scheme for Mobile Agent-Based Hierarchical WSN
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    Chapter 4 Hardware Advancements Effects on MANET Development, Application and Research
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    Chapter 5 A Virtualized Network Testbed for Zero-Day Worm Analysis and Countermeasure Testing
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    Chapter 6 A Categorized Trust-Based Message Reporting Scheme for VANETs
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    Chapter 7 Blind Watermark Approach for Map Authentication Using Support Vector Machine
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    Chapter 8 High Payload Audio Watermarking Using Sparse Coding with Robustness to MP3 Compression
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    Chapter 9 An HMM-Based Reputation Model
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    Chapter 10 Towards IT-Legal Framework for Cloud Computing
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    Chapter 11 A Blind Robust 3D-Watermarking Scheme Based on Progressive Mesh and Self Organization Maps
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    Chapter 12 A Cattle Identification Approach Using Live Captured Muzzle Print Images
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    Chapter 13 Algebraic Replay Attacks on Authentication in RFID Protocols
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    Chapter 14 A Privacy Preserving Approach to Smart Metering
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    Chapter 15 Developing an Intelligent Intrusion Detection and Prevention System against Web Application Malware
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    Chapter 16 Vulnerability Scanners Capabilities for Detecting Windows Missed Patches: Comparative Study
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    Chapter 17 Elderly Healthcare Data Protection Application for Ambient Assisted Living
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    Chapter 18 A Secure Framework for OTA Smart Device Ecosystems Using ECC Encryption and Biometrics
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    Chapter 19 Machine Learning Techniques for Anomalies Detection and Classification
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    Chapter 20 Detecting Vulnerabilities in Web Applications Using Automated Black Box and Manual Penetration Testing
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    Chapter 21 Linear Correlation-Based Feature Selection for Network Intrusion Detection Model
Attention for Chapter 19: Machine Learning Techniques for Anomalies Detection and Classification
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Chapter title
Machine Learning Techniques for Anomalies Detection and Classification
Chapter number 19
Book title
Advances in Security of Information and Communication Networks
Published in
Communications in Computer and Information Science, January 2016
DOI 10.1007/978-3-642-40597-6_19
Book ISBNs
978-3-64-240596-9, 978-3-64-240597-6
Authors

Amira Sayed Abdel-Aziz, Aboul Ella Hassanien, Ahmad Taher Azar, Sanaa El-Ola Hanafi, Abdel-Aziz, Amira Sayed, Hassanien, Aboul Ella, Azar, Ahmad Taher, Hanafi, Sanaa El-Ola

X Demographics

X Demographics

The data shown below were collected from the profiles of 2 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 12 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Thailand 1 8%
Egypt 1 8%
Unknown 10 83%

Demographic breakdown

Readers by professional status Count As %
Researcher 2 17%
Lecturer > Senior Lecturer 1 8%
Other 1 8%
Professor 1 8%
Student > Doctoral Student 1 8%
Other 2 17%
Unknown 4 33%
Readers by discipline Count As %
Computer Science 5 42%
Engineering 2 17%
Unknown 5 42%
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 15 February 2014.
All research outputs
#17,732,227
of 25,992,468 outputs
Outputs from Communications in Computer and Information Science
#1
of 1 outputs
Outputs of similar age
#249,920
of 408,624 outputs
Outputs of similar age from Communications in Computer and Information Science
#1
of 1 outputs
Altmetric has tracked 25,992,468 research outputs across all sources so far. This one is in the 21st percentile – i.e., 21% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1 research outputs from this source. They receive a mean Attention Score of 1.0. 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 408,624 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 30th percentile – i.e., 30% of its contemporaries scored the same or lower than it.
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