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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 MAMBO – V: Dynamic Side-Channel Leakage Analysis on RISC – V
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    Chapter 2 The Finger in the Power: How to Fingerprint PCs by Monitoring Their Power Consumption
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    Chapter 3 PwrLeak : Exploiting Power Reporting Interface for Side-Channel Attacks on AMD SEV
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    Chapter 4 Madvex : Instrumentation-Based Adversarial Attacks on Machine Learning Malware Detection
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    Chapter 5 Honey, I Chunked the Passwords: Generating Semantic Honeywords Resistant to Targeted Attacks Using Pre-trained Language Models
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    Chapter 6 White-Box Concealment Attacks Against Anomaly Detectors for Cyber-Physical Systems
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    Chapter 7 A Security Analysis of CNC Machines in Industry 4.0
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    Chapter 8 A Deep Dive into the VirusTotal File Feed
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    Chapter 9 Attackers as Instructors: Using Container Isolation to Reduce Risk and Understand Vulnerabilities
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    Chapter 10 Extended Abstract: Towards Reliable and Scalable Linux Kernel CVE Attribution in Automated Static Firmware Analyses
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    Chapter 11 Divak: Non-invasive Characterization of Out-of-Bounds Write Vulnerabilities
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    Chapter 12 CEFI : Command Execution Flow Integrity for Embedded Devices
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    Chapter 13 Untangle : Aiding Global Function Pointer Hijacking for Post-CET Binary Exploitation
Attention for Chapter 9: Attackers as Instructors: Using Container Isolation to Reduce Risk and Understand Vulnerabilities
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Readers on

mendeley
3 Mendeley
Summary
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Chapter title
Attackers as Instructors: Using Container Isolation to Reduce Risk and Understand Vulnerabilities
Chapter number 9
Book title
Detection of Intrusions and Malware, and Vulnerability Assessment
Published by
Springer, Cham, January 2023
DOI 10.1007/978-3-031-35504-2_9
Book ISBNs
978-3-03-135503-5, 978-3-03-135504-2
Authors

Lei, Yunsen, Lanson, Julian P., Shue, Craig A., Wood, Timothy W.

View on publisher site
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 3 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 3 100%

Demographic breakdown

Readers by professional status Count As %
Unspecified 2 67%
Student > Ph. D. Student 1 33%
Readers by discipline Count As %
Unspecified 2 67%
Computer Science 1 33%

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