↓ Skip to main content

Detection of intrusions and malware, and vulnerability assessment

Overview of attention for book
Cover of 'Detection of intrusions and malware, and vulnerability assessment'

Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    Chapter 1 Detection of Intrusions and Malware, and Vulnerability Assessment
  3. Altmetric Badge
    Chapter 2 “Nice Boots!” - A Large-Scale Analysis of Bootkits and New Ways to Stop Them
  4. Altmetric Badge
    Chapter 3 C5: Cross-Cores Cache Covert Channel
  5. Altmetric Badge
    Chapter 4 Intrusion Detection for Airborne Communication Using PHY-Layer Information
  6. Altmetric Badge
    Chapter 5 That Ain’t You: Blocking Spearphishing Through Behavioral Modelling
  7. Altmetric Badge
    Chapter 6 Robust and Effective Malware Detection Through Quantitative Data Flow Graph Metrics
  8. Altmetric Badge
    Chapter 7 Jackdaw: Towards Automatic Reverse Engineering of Large Datasets of Binaries
  9. Altmetric Badge
    Chapter 8 Fine-Grained Control-Flow Integrity Through Binary Hardening
  10. Altmetric Badge
    Chapter 9 Powerslave: Analyzing the Energy Consumption of Mobile Antivirus Software
  11. Altmetric Badge
    Chapter 10 The Role of Cloud Services in Malicious Software: Trends and Insights
  12. Altmetric Badge
    Chapter 11 Capturing DDoS Attack Dynamics Behind the Scenes
  13. Altmetric Badge
    Chapter 12 Quit playing games with my heart: Understanding online dating scams
  14. Altmetric Badge
    Chapter 13 More Guidelines Than Rules: CSRF Vulnerabilities from Noncompliant OAuth 2.0 Implementations
  15. Altmetric Badge
    Chapter 14 May I? - Content Security Policy Endorsement for Browser Extensions
  16. Altmetric Badge
    Chapter 15 On the Security and Engineering Implications of Finer-Grained Access Controls for Android Developers and Users
  17. Altmetric Badge
    Chapter 16 Identifying Intrusion Infections via Probabilistic Inference on Bayesian Network
  18. Altmetric Badge
    Chapter 17 Controlled Data Sharing for Collaborative Predictive Blacklisting
Attention for Chapter 12: Quit playing games with my heart: Understanding online dating scams
Altmetric Badge

Mentioned by

twitter
1 X user

Citations

dimensions_citation
11 Dimensions

Readers on

mendeley
70 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Chapter title
Quit playing games with my heart: Understanding online dating scams
Chapter number 12
Book title
Detection of Intrusions and Malware, and Vulnerability Assessment
Published in
Lecture notes in computer science, January 2015
DOI 10.1007/978-3-319-20550-2_12
Book ISBNs
978-3-31-920549-6, 978-3-31-920550-2
Authors

Huang, JM, JingMin Huang, Gianluca Stringhini, Peng Yong

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

Geographical breakdown

Country Count As %
Malaysia 1 1%
United States 1 1%
Unknown 68 97%

Demographic breakdown

Readers by professional status Count As %
Student > Master 15 21%
Student > Ph. D. Student 10 14%
Student > Bachelor 7 10%
Student > Doctoral Student 5 7%
Lecturer 3 4%
Other 7 10%
Unknown 23 33%
Readers by discipline Count As %
Computer Science 18 26%
Social Sciences 11 16%
Psychology 6 9%
Business, Management and Accounting 4 6%
Engineering 3 4%
Other 4 6%
Unknown 24 34%
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 08 January 2016.
All research outputs
#20,300,248
of 22,837,982 outputs
Outputs from Lecture notes in computer science
#6,989
of 8,127 outputs
Outputs of similar age
#295,924
of 353,212 outputs
Outputs of similar age from Lecture notes in computer science
#216
of 257 outputs
Altmetric has tracked 22,837,982 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 8,127 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.
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 353,212 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 257 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.