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Research in Attacks, Intrusions, and Defenses

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Cover of 'Research in Attacks, Intrusions, and Defenses'

Table of Contents

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    Book Overview
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    Chapter 1 VDF: Targeted Evolutionary Fuzz Testing of Virtual Devices
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    Chapter 2 Static Program Analysis as a Fuzzing Aid
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    Chapter 3 Breaking Fitness Records Without Moving: Reverse Engineering and Spoofing Fitbit
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    Chapter 4 Lens on the Endpoint: Hunting for Malicious Software Through Endpoint Data Analysis
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    Chapter 5 Redemption: Real-Time Protection Against Ransomware at End-Hosts
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    Chapter 6 ILAB: An Interactive Labelling Strategy for Intrusion Detection
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    Chapter 7 Precisely and Scalably Vetting JavaScript Bridge in Android Hybrid Apps
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    Chapter 8 Filtering for Malice Through the Data Ocean: Large-Scale PHA Install Detection at the Communication Service Provider Level
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    Chapter 9 Android Malware Clustering Through Malicious Payload Mining
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    Chapter 10 Stealth Loader: Trace-Free Program Loading for API Obfuscation
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    Chapter 11 LAZARUS: Practical Side-Channel Resilient Kernel-Space Randomization
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    Chapter 12 CFI CaRE: Hardware-Supported Call and Return Enforcement for Commercial Microcontrollers
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    Chapter 13 Mining on Someone Else’s Dime: Mitigating Covert Mining Operations in Clouds and Enterprises
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    Chapter 14 BEADS: Automated Attack Discovery in OpenFlow-Based SDN Systems
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    Chapter 15 Trapped by the UI: The Android Case
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    Chapter 16 Sgx-Lapd: Thwarting Controlled Side Channel Attacks via Enclave Verifiable Page Faults
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    Chapter 17 Secure In-Cache Execution
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    Chapter 18 Scotch: Combining Software Guard Extensions and System Management Mode to Monitor Cloud Resource Usage
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    Chapter 19 Linking Amplification DDoS Attacks to Booter Services
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    Chapter 20 Practical and Accurate Runtime Application Protection Against DoS Attacks
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    Chapter 21 Exploring the Ecosystem of Malicious Domain Registrations in the .eu TLD
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Citations

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Title
Research in Attacks, Intrusions, and Defenses
Published by
Springer, Cham, January 2017
DOI 10.1007/978-3-319-66332-6
ISBNs
978-3-31-966331-9, 978-3-31-966332-6
Editors

Marc Dacier, Michael Bailey, Michalis Polychronakis, Manos Antonakakis

Twitter Demographics

The data shown below were collected from the profiles of 4 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 18 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 18 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 5 28%
Researcher 2 11%
Student > Ph. D. Student 2 11%
Professor 1 6%
Student > Bachelor 1 6%
Other 1 6%
Unknown 6 33%
Readers by discipline Count As %
Computer Science 10 56%
Engineering 1 6%
Unknown 7 39%