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Recent Advances in Intrusion Detection

Overview of attention for book
Recent Advances in Intrusion Detection
Springer, Berlin, Heidelberg

Table of Contents

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    Book Overview
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    Chapter 1 Minemu: The World’s Fastest Taint Tracker
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    Chapter 2 Dymo: Tracking Dynamic Code Identity
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    Chapter 3 Automated Identification of Cryptographic Primitives in Binary Programs
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    Chapter 4 Shellzer: A Tool for the Dynamic Analysis of Malicious Shellcode
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    Chapter 5 KLIMAX: Profiling Memory Write Patterns to Detect Keystroke-Harvesting Malware
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    Chapter 6 Packed, Printable, and Polymorphic Return-Oriented Programming
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    Chapter 7 On the Expressiveness of Return-into-libc Attacks
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    Chapter 8 Cross-Domain Collaborative Anomaly Detection: So Far Yet So Close
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    Chapter 9 Revisiting Traffic Anomaly Detection Using Software Defined Networking
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    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
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    Chapter 14 Banksafe Information Stealer Detection Inside the Web Browser
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    Chapter 15 IceShield: Detection and Mitigation of Malicious Websites with a Frozen DOM
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    Chapter 16 Spam Filtering in Twitter Using Sender-Receiver Relationship
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    Chapter 17 Die Free or Live Hard? Empirical Evaluation and New Design for Fighting Evolving Twitter Spammers
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    Chapter 18 Detecting Environment-Sensitive Malware
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    Chapter 19 Defending Embedded Systems with Software Symbiotes
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    Chapter 20 What If You Can’t Trust Your Network Card?
Attention for Chapter 6: Packed, Printable, and Polymorphic Return-Oriented Programming
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Citations

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Chapter title
Packed, Printable, and Polymorphic Return-Oriented Programming
Chapter number 6
Book title
Recent Advances in Intrusion Detection
Published by
Springer Berlin Heidelberg, January 2011
DOI 10.1007/978-3-642-23644-0_6
Book ISBNs
978-3-64-223643-3, 978-3-64-223644-0
Authors

Kangjie Lu, Dabi Zou, Weiping Wen, Debin Gao

Editors

Robin Sommer, Davide Balzarotti, Gregor Maier

Timeline

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 37 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Germany 1 3%
Korea, Republic of 1 3%
India 1 3%
Egypt 1 3%
China 1 3%
Spain 1 3%
United States 1 3%
Unknown 30 81%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 14 38%
Student > Master 7 19%
Student > Bachelor 5 14%
Other 3 8%
Researcher 2 5%
Other 6 16%
Readers by discipline Count As %
Computer Science 32 86%
Engineering 2 5%
Mathematics 1 3%
Physics and Astronomy 1 3%
Psychology 1 3%
Other 0 0%