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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
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    Chapter 1 Malware Guard Extension: Using SGX to Conceal Cache Attacks
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    Chapter 2 On the Trade-Offs in Oblivious Execution Techniques
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    Chapter 3 MemPatrol: Reliable Sideline Integrity Monitoring for High-Performance Systems
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    Chapter 4 Measuring and Defeating Anti-Instrumentation-Equipped Malware
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    Chapter 5 DynODet: Detecting Dynamic Obfuscation in Malware
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    Chapter 6 Finding the Needle: A Study of the PE32 Rich Header and Respective Malware Triage
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    Chapter 7 Last Line of Defense: A Novel IDS Approach Against Advanced Threats in Industrial Control Systems
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    Chapter 8 LED-it-GO: Leaking (A Lot of) Data from Air-Gapped Computers via the (Small) Hard Drive LED
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    Chapter 9 A Stealth, Selective, Link-Layer Denial-of-Service Attack Against Automotive Networks
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    Chapter 10 Quincy: Detecting Host-Based Code Injection Attacks in Memory Dumps
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    Chapter 11 SPEAKER: Split-Phase Execution of Application Containers
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    Chapter 12 Deep Ground Truth Analysis of Current Android Malware
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    Chapter 13 HumIDIFy: A Tool for Hidden Functionality Detection in Firmware
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    Chapter 14 BinShape: Scalable and Robust Binary Library Function Identification Using Function Shape
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    Chapter 15 SCVD: A New Semantics-Based Approach for Cloned Vulnerable Code Detection
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    Chapter 16 On the Privacy Impacts of Publicly Leaked Password Databases
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    Chapter 17 Unsupervised Detection of APT C&C Channels using Web Request Graphs
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    Chapter 18 Measuring Network Reputation in the Ad-Bidding Process
Overall attention for this book and its chapters
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Mentioned by

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1 blog
twitter
23 tweeters
video
1 video uploader

Readers on

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4 Mendeley
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Title
Detection of Intrusions and Malware, and Vulnerability Assessment
Published by
Springer, Cham, January 2017
DOI 10.1007/978-3-319-60876-1
ISBNs
978-3-31-960875-4, 978-3-31-960876-1
Editors

Michalis Polychronakis, Michael Meier

Twitter Demographics

The data shown below were collected from the profiles of 23 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 4 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 4 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 2 50%
Unknown 2 50%
Readers by discipline Count As %
Computer Science 2 50%
Unknown 2 50%