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Risks and Security of Internet and Systems

Overview of attention for book
Cover of 'Risks and Security of Internet and Systems'

Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    Chapter 1 Automatic Vulnerability Classification Using Machine Learning
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    Chapter 2 A Semantic Approach to Frequency Based Anomaly Detection of Insider Access in Database Management Systems
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    Chapter 3 Towards a Security Event Data Taxonomy
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    Chapter 4 Unraveling Reflection Induced Sensitive Leaks in Android Apps
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    Chapter 5 Remotely Assessing Integrity of Software Applications by Monitoring Invariants: Present Limitations and Future Directions
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    Chapter 6 Using Data Integration to Help Design More Secure Applications
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    Chapter 7 MA-MOrBAC: A Distributed Access Control Model Based on Mobile Agent for Multi-organizational, Collaborative and Heterogeneous Systems
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    Chapter 8 A Vehicle Collision-Warning System Based on Multipeer Connectivity and Off-the-Shelf Smart-Devices
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    Chapter 9 Design and Realization of a Fully Homomorphic Encryption Algorithm for Cloud Applications
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    Chapter 10 A Study of Threat Detection Systems and Techniques in the Cloud
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    Chapter 11 Preventing the Drop in Security Investments for Non-competitive Cyber-Insurance Market
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    Chapter 12 Towards an Anonymity Supported Platform for Shared Cyber Threat Intelligence
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    Chapter 13 Phishing Attacks Root Causes
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    Chapter 14 Domain Name System Without Root Servers
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    Chapter 15 Data Hiding on Social Media Communications Using Text Steganography
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    Chapter 16 Privacy Scoring of Social Network User Profiles Through Risk Analysis
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    Chapter 17 A Method for Developing Qualitative Security Risk Assessment Algorithms
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    Chapter 18 An Empirical Analysis of Risk Aversion in Malware Infections
Attention for Chapter 13: Phishing Attacks Root Causes
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Mentioned by

1 X user


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48 Mendeley
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Chapter title
Phishing Attacks Root Causes
Chapter number 13
Book title
Risks and Security of Internet and Systems
Published in
Lecture notes in computer science, February 2018
DOI 10.1007/978-3-319-76687-4_13
Book ISBNs
978-3-31-976686-7, 978-3-31-976687-4

Hossein Abroshan, Jan Devos, Geert Poels, Eric Laermans, Abroshan, Hossein, Devos, Jan, Poels, Geert, Laermans, Eric

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

Geographical breakdown

Country Count As %
Unknown 48 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 7 15%
Student > Ph. D. Student 7 15%
Researcher 2 4%
Student > Bachelor 2 4%
Student > Doctoral Student 1 2%
Other 6 13%
Unknown 23 48%
Readers by discipline Count As %
Computer Science 15 31%
Social Sciences 2 4%
Psychology 2 4%
Linguistics 1 2%
Business, Management and Accounting 1 2%
Other 4 8%
Unknown 23 48%
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 29 September 2018.
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Outputs of similar age from Lecture notes in computer science
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So far Altmetric has tracked 8,145 research outputs from this source. They receive a mean Attention Score of 5.0. This one is in the 1st percentile – i.e., 1% of its peers scored the same or lower than it.
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We're also able to compare this research output to 4 others from the same source and published within six weeks on either side of this one. This one has scored higher than 2 of them.