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Advances in Digital Forensics X : 10th IFIP WG 11.9 International Conference, Vienna, Austria, January 8-10, 2014, Revised Selected Papers

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Cover of 'Advances in Digital Forensics X : 10th IFIP WG 11.9 International Conference, Vienna, Austria, January 8-10, 2014, Revised Selected Papers'

Table of Contents

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    Book Overview
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    Chapter 1 Conditional Weighted Transaction Aggregation for Credit Card Fraud Detection
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    Chapter 2 Using Fraud Trees to Analyze Internet Credit Card Fraud
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    Chapter 3 Automated Analysis of Underground Marketplaces
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    Chapter 4 An Exploratory Profiling Study of Online Auction Fraudsters
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    Chapter 5 Web User Profiling Based on Browsing Behavior Analysis
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    Chapter 6 Validation Rules for Enhanced Foxy P2P Network Investigations
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    Chapter 7 Advances in Digital Forensics X
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    Chapter 8 Schema Reconstruction in Database Forensics
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    Chapter 9 Analysis of the Use of XOR as an Obfuscation Technique in a Real Data Corpus
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    Chapter 10 Similarity Hashing Based on Levenshtein Distances
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    Chapter 11 Using Approximate Matching to Reduce the Volume of Digital Data
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    Chapter 12 Active Linguistic Authentication Using Real-Time Stylometric Evaluation for Multi-Modal Decision Fusion
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    Chapter 13 Breaking the Closed-World Assumption in Stylometric Authorship Attribution
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    Chapter 14 Advances in Digital Forensics X
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    Chapter 15 Advances in Digital Forensics X
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    Chapter 16 Advances in Digital Forensics X
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    Chapter 17 Advances in Digital Forensics X
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    Chapter 18 Advances in Digital Forensics X
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    Chapter 19 Performance of a Logical, Five- Phase, Multithreaded, Bootable Triage Tool
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    Chapter 20 Advances in Digital Forensics X
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    Chapter 21 Advances in Digital Forensics X
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    Chapter 22 Advances in Digital Forensics X
Attention for Chapter 9: Analysis of the Use of XOR as an Obfuscation Technique in a Real Data Corpus
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Chapter title
Analysis of the Use of XOR as an Obfuscation Technique in a Real Data Corpus
Chapter number 9
Book title
Advances in Digital Forensics X
Published by
Springer, Berlin, Heidelberg, January 2014
DOI 10.1007/978-3-662-44952-3_9
Book ISBNs
978-3-66-244951-6, 978-3-66-244952-3
Authors

Carolina Zarate, Simson Garfinkel, Aubin Heffernan, Scott Horras, Kyle Gorak

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 17 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 17 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 5 29%
Other 3 18%
Student > Master 2 12%
Professor > Associate Professor 2 12%
Student > Doctoral Student 1 6%
Other 3 18%
Unknown 1 6%
Readers by discipline Count As %
Computer Science 14 82%
Unspecified 1 6%
Arts and Humanities 1 6%
Unknown 1 6%