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Recent Advances in Intrusion Detection

Overview of attention for book
Cover of 'Recent Advances in Intrusion Detection'

Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    Chapter 1 Minemu: The World’s Fastest Taint Tracker
  3. Altmetric Badge
    Chapter 2 Dymo: Tracking Dynamic Code Identity
  4. Altmetric Badge
    Chapter 3 Automated Identification of Cryptographic Primitives in Binary Programs
  5. Altmetric Badge
    Chapter 4 Shellzer: A Tool for the Dynamic Analysis of Malicious Shellcode
  6. Altmetric Badge
    Chapter 5 KLIMAX: Profiling Memory Write Patterns to Detect Keystroke-Harvesting Malware
  7. Altmetric Badge
    Chapter 6 Packed, Printable, and Polymorphic Return-Oriented Programming
  8. Altmetric Badge
    Chapter 7 On the Expressiveness of Return-into-libc Attacks
  9. Altmetric Badge
    Chapter 8 Cross-Domain Collaborative Anomaly Detection: So Far Yet So Close
  10. Altmetric Badge
    Chapter 9 Revisiting Traffic Anomaly Detection Using Software Defined Networking
  11. Altmetric Badge
    Chapter 10 Modeling User Search Behavior for Masquerade Detection
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    Chapter 11 Securing Application-Level Topology Estimation Networks: Facing the Frog-Boiling Attack
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    Chapter 12 Detecting Traffic Snooping in Tor Using Decoys
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    Chapter 13 Cross-Analysis of Botnet Victims: New Insights and Implications
  15. Altmetric Badge
    Chapter 14 Banksafe Information Stealer Detection Inside the Web Browser
  16. Altmetric Badge
    Chapter 15 IceShield: Detection and Mitigation of Malicious Websites with a Frozen DOM
  17. Altmetric Badge
    Chapter 16 Spam Filtering in Twitter Using Sender-Receiver Relationship
  18. Altmetric Badge
    Chapter 17 Die Free or Live Hard? Empirical Evaluation and New Design for Fighting Evolving Twitter Spammers
  19. Altmetric Badge
    Chapter 18 Detecting Environment-Sensitive Malware
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    Chapter 19 Defending Embedded Systems with Software Symbiotes
  21. Altmetric Badge
    Chapter 20 What If You Can’t Trust Your Network Card?
Attention for Chapter 12: Detecting Traffic Snooping in Tor Using Decoys
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Chapter title
Detecting Traffic Snooping in Tor Using Decoys
Chapter number 12
Book title
Recent Advances in Intrusion Detection
Published in
Lecture notes in computer science, January 2011
DOI 10.1007/978-3-642-23644-0_12
Book ISBNs
978-3-64-223643-3, 978-3-64-223644-0
Authors

Sambuddho Chakravarty, Georgios Portokalidis, Michalis Polychronakis, Angelos D. Keromytis

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

Geographical breakdown

Country Count As %
United Kingdom 1 2%
Korea, Republic of 1 2%
Zimbabwe 1 2%
Unknown 56 95%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 15 25%
Student > Master 12 20%
Student > Bachelor 6 10%
Other 6 10%
Researcher 5 8%
Other 8 14%
Unknown 7 12%
Readers by discipline Count As %
Computer Science 43 73%
Engineering 4 7%
Mathematics 2 3%
Social Sciences 1 2%
Business, Management and Accounting 1 2%
Other 0 0%
Unknown 8 14%
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 23 June 2013.
All research outputs
#18,340,605
of 22,712,476 outputs
Outputs from Lecture notes in computer science
#6,005
of 8,124 outputs
Outputs of similar age
#160,046
of 180,415 outputs
Outputs of similar age from Lecture notes in computer science
#228
of 317 outputs
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So far Altmetric has tracked 8,124 research outputs from this source. They receive a mean Attention Score of 5.0. This one is in the 14th percentile – i.e., 14% of its peers scored the same or lower than it.
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We're also able to compare this research output to 317 others from the same source and published within six weeks on either side of this one. This one is in the 12th percentile – i.e., 12% of its contemporaries scored the same or lower than it.