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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

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    Book Overview
  2. Altmetric Badge
    Chapter 1 Using File Relationships in Malware Classification
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    Chapter 2 Understanding DMA Malware
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    Chapter 3 Large-Scale Analysis of Malware Downloaders
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    Chapter 4 Juxtapp: A Scalable System for Detecting Code Reuse among Android Applications
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    Chapter 5 ADAM: An Automatic and Extensible Platform to Stress Test Android Anti-virus Systems
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    Chapter 6 A Static, Packer-Agnostic Filter to Detect Similar Malware Samples
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    Chapter 7 Experiments with Malware Visualization
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    Chapter 8 Tracking Memory Writes for Malware Classification and Code Reuse Identification
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    Chapter 9 System-Level Support for Intrusion Recovery
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    Chapter 10 NetGator: Malware Detection Using Program Interactive Challenges
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    Chapter 11 SmartProxy: Secure Smartphone-Assisted Login on Compromised Machines
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    Chapter 12 BISSAM: Automatic Vulnerability Identification of Office Documents
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    Chapter 13 Self-organized Collaboration of Distributed IDS Sensors
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    Chapter 14 Shedding Light on Log Correlation in Network Forensics Analysis
Attention for Chapter 10: NetGator: Malware Detection Using Program Interactive Challenges
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Citations

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Readers on

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22 Mendeley
Summary Dimensions citations
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Chapter title
NetGator: Malware Detection Using Program Interactive Challenges
Chapter number 10
Book title
Detection of Intrusions and Malware, and Vulnerability Assessment
Published in
Lecture notes in computer science, July 2012
DOI 10.1007/978-3-642-37300-8_10
Book ISBNs
978-3-64-237299-5, 978-3-64-237300-8
Authors

Brian Schulte, Haris Andrianakis, Kun Sun, Angelos Stavrou

View on publisher site
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 22 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 5%
Unknown 21 95%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 9 41%
Other 4 18%
Student > Master 4 18%
Researcher 1 5%
Student > Postgraduate 1 5%
Other 0 0%
Unknown 3 14%
Readers by discipline Count As %
Computer Science 19 86%
Unknown 3 14%

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