↓ Skip to main content
What is this page? Embed badge

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

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    Chapter 1 Hybrid Pruning: Towards Precise Pointer and Taint Analysis
  3. Altmetric Badge
    Chapter 2 Establishing the Contaminating Effect of Metadata Feature Inclusion in Machine-Learned Network Intrusion Detection Models
  4. Altmetric Badge
    Chapter 3 Extended Abstract: Effective Call Graph Fingerprinting for the Analysis and Classification of Windows Malware
  5. Altmetric Badge
    Chapter 4 COBRA-GCN: Contrastive Learning to Optimize Binary Representation Analysis with Graph Convolutional Networks
  6. Altmetric Badge
    Chapter 5 Prioritizing Antivirus Alerts on Internal Enterprise Machines
  7. Altmetric Badge
    Chapter 6 VANDALIR: Vulnerability Analyses Based on Datalog and LLVM-IR
  8. Altmetric Badge
    Chapter 7 Branch Different - Spectre Attacks on Apple Silicon
  9. Altmetric Badge
    Chapter 8 MPKAlloc: Efficient Heap Meta-data Integrity Through Hardware Memory Protection Keys
  10. Altmetric Badge
    Chapter 9 A Human in Every APE: Delineating and Evaluating the Human Analysis Systems of Anti-Phishing Entities
  11. Altmetric Badge
    Chapter 10 Amplification Chamber: Dissecting the Attack Infrastructure of Memcached DRDoS Attacks
  12. Altmetric Badge
    Chapter 11 Consistency is All I Ask: Attacks and Countermeasures on the Network Context of Distributed Honeypots
Attention for Chapter 1: Hybrid Pruning: Towards Precise Pointer and Taint Analysis
Altmetric Badge

Readers on

mendeley
7 Mendeley
Summary
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Chapter title
Hybrid Pruning: Towards Precise Pointer and Taint Analysis
Chapter number 1
Book title
Detection of Intrusions and Malware, and Vulnerability Assessment
Published by
Springer, Cham, January 2022
DOI 10.1007/978-3-031-09484-2_1
Book ISBNs
978-3-03-109483-5, 978-3-03-109484-2
Authors

Das, Dipanjan, Bose, Priyanka, Machiry, Aravind, Mariani, Sebastiano, Shoshitaishvili, Yan, Vigna, Giovanni, Kruegel, Christopher

View on publisher site
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 7 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 7 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 1 14%
Student > Doctoral Student 1 14%
Student > Master 1 14%
Unknown 4 57%
Readers by discipline Count As %
Computer Science 2 29%
Unknown 5 71%

This page is provided by Altmetric.