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Detection of Intrusions and Malware, and Vulnerability Assessment

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Cover of 'Detection of Intrusions and Malware, and Vulnerability Assessment'

Table of Contents

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    Book Overview
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    Chapter 1 Malrec: Compact Full-Trace Malware Recording for Retrospective Deep Analysis
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    Chapter 2 MemScrimper: Time- and Space-Efficient Storage of Malware Sandbox Memory Dumps
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    Chapter 3 Spearphishing Malware: Do We Really Know the Unknown?
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    Chapter 4 Honey, I Shrunk Your App Security: The State of Android App Hardening
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    Chapter 5 GuardION: Practical Mitigation of DMA-Based Rowhammer Attacks on ARM
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    Chapter 6 BINARM: Scalable and Efficient Detection of Vulnerabilities in Firmware Images of Intelligent Electronic Devices
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    Chapter 7 Update State Tampering: A Novel Adversary Post-compromise Technique on Cyber Threats
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    Chapter 8 Evasive Malware via Identifier Implanting
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    Chapter 9 On the Weaknesses of Function Table Randomization
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    Chapter 10 FraudBuster: Temporal Analysis and Detection of Advanced Financial Frauds
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    Chapter 11 No Random, No Ransom: A Key to Stop Cryptographic Ransomware
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    Chapter 12 Hidden in Plain Sight: Filesystem View Separation for Data Integrity and Deception
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    Chapter 13 Knockin’ on Trackers’ Door: Large-Scale Automatic Analysis of Web Tracking
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    Chapter 14 JaSt: Fully Syntactic Detection of Malicious (Obfuscated) JavaScript
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    Chapter 15 Bytecode Corruption Attacks Are Real—And How to Defend Against Them
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    Chapter 16 ELISA: ELiciting ISA of Raw Binaries for Fine-Grained Code and Data Separation
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    Chapter 17 Symbolic Deobfuscation: From Virtualized Code Back to the Original
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    Chapter 18 Extended Abstract: Toward Systematically Exploring Antivirus Engines
Attention for Chapter 14: JaSt: Fully Syntactic Detection of Malicious (Obfuscated) JavaScript
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Citations

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Chapter title
JaSt: Fully Syntactic Detection of Malicious (Obfuscated) JavaScript
Chapter number 14
Book title
Detection of Intrusions and Malware, and Vulnerability Assessment
Published by
Springer, Cham, June 2018
DOI 10.1007/978-3-319-93411-2_14
Book ISBNs
978-3-31-993410-5, 978-3-31-993411-2
Authors

Aurore Fass, Robert P. Krawczyk, Michael Backes, Ben Stock, Fass, Aurore, Krawczyk, Robert P., Backes, Michael, Stock, Ben

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 33 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 33 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 6 18%
Student > Ph. D. Student 4 12%
Student > Bachelor 3 9%
Researcher 2 6%
Professor 1 3%
Other 2 6%
Unknown 15 45%
Readers by discipline Count As %
Computer Science 12 36%
Engineering 2 6%
Unspecified 1 3%
Psychology 1 3%
Agricultural and Biological Sciences 1 3%
Other 0 0%
Unknown 16 48%