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Detection of Intrusions and Malware, and Vulnerability Assessment

Overview of attention for book
Detection of Intrusions and Malware, and Vulnerability Assessment
Springer International Publishing

Table of Contents

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    Book Overview
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    Chapter 1 Hybrid Pruning: Towards Precise Pointer and Taint Analysis
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    Chapter 2 Establishing the Contaminating Effect of Metadata Feature Inclusion in Machine-Learned Network Intrusion Detection Models
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    Chapter 3 Extended Abstract: Effective Call Graph Fingerprinting for the Analysis and Classification of Windows Malware
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    Chapter 4 COBRA-GCN: Contrastive Learning to Optimize Binary Representation Analysis with Graph Convolutional Networks
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    Chapter 5 Prioritizing Antivirus Alerts on Internal Enterprise Machines
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    Chapter 6 VANDALIR: Vulnerability Analyses Based on Datalog and LLVM-IR
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    Chapter 7 Branch Different - Spectre Attacks on Apple Silicon
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    Chapter 8 MPKAlloc: Efficient Heap Meta-data Integrity Through Hardware Memory Protection Keys
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    Chapter 9 A Human in Every APE: Delineating and Evaluating the Human Analysis Systems of Anti-Phishing Entities
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    Chapter 10 Amplification Chamber: Dissecting the Attack Infrastructure of Memcached DRDoS Attacks
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    Chapter 11 Consistency is All I Ask: Attacks and Countermeasures on the Network Context of Distributed Honeypots
Attention for Chapter 2: Establishing the Contaminating Effect of Metadata Feature Inclusion in Machine-Learned Network Intrusion Detection Models
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mendeley
11 Mendeley
Summary
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Chapter title
Establishing the Contaminating Effect of Metadata Feature Inclusion in Machine-Learned Network Intrusion Detection Models
Chapter number 2
Book title
Detection of Intrusions and Malware, and Vulnerability Assessment
Published by
Springer, Cham, January 2022
DOI 10.1007/978-3-031-09484-2_2
Book ISBNs
978-3-03-109483-5, 978-3-03-109484-2
Authors

D’hooge, Laurens, Verkerken, Miel, Volckaert, Bruno, Wauters, Tim, De Turck, Filip

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 11 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 11 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 3 27%
Student > Bachelor 2 18%
Unspecified 2 18%
Unknown 4 36%
Readers by discipline Count As %
Computer Science 3 27%
Unspecified 2 18%
Economics, Econometrics and Finance 1 9%
Unknown 5 45%

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