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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

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    Chapter 1 Subverting Operating System Properties Through Evolutionary DKOM Attacks
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    Chapter 2 DeepFuzz: Triggering Vulnerabilities Deeply Hidden in Binaries
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    Chapter 3 AutoRand: Automatic Keyword Randomization to Prevent Injection Attacks
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    Chapter 4 AVRAND: A Software-Based Defense Against Code Reuse Attacks for AVR Embedded Devices
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    Chapter 5 Towards Vulnerability Discovery Using Staged Program Analysis
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    Chapter 6 Comprehensive Analysis and Detection of Flash-Based Malware
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    Chapter 7 Reviewer Integration and Performance Measurement for Malware Detection
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    Chapter 8 On the Lack of Consensus in Anti-Virus Decisions: Metrics and Insights on Building Ground Truths of Android Malware
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    Chapter 9 Probfuscation: An Obfuscation Approach Using Probabilistic Control Flows
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    Chapter 10 RAMBO: Run-Time Packer Analysis with Multiple Branch Observation
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    Chapter 11 Detecting Hardware-Assisted Virtualization
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    Chapter 12 Financial Lower Bounds of Online Advertising Abuse
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    Chapter 13 Google Dorks: Analysis, Creation, and New Defenses
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    Chapter 14 Flush+Flush: A Fast and Stealthy Cache Attack
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    Chapter 15 Rowhammer.js: A Remote Software-Induced Fault Attack in JavaScript
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    Chapter 16 Detile: Fine-Grained Information Leak Detection in Script Engines
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    Chapter 17 Understanding the Privacy Implications of ECS
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    Chapter 18 Analysing the Security of Google’s Implementation of OpenID Connect
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    Chapter 19 Leveraging Sensor Fingerprinting for Mobile Device Authentication
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    Chapter 20 MtNet: A Multi-Task Neural Network for Dynamic Malware Classification
  22. Altmetric Badge
    Chapter 21 Adaptive Semantics-Aware Malware Classification
Attention for Chapter 13: Google Dorks: Analysis, Creation, and New Defenses
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Citations

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Chapter title
Google Dorks: Analysis, Creation, and New Defenses
Chapter number 13
Book title
Detection of Intrusions and Malware, and Vulnerability Assessment
Published by
Springer, Cham, July 2016
DOI 10.1007/978-3-319-40667-1_13
Book ISBNs
978-3-31-940666-4, 978-3-31-940667-1
Authors

Flavio Toffalini, Maurizio Abbà, Damiano Carra, Davide Balzarotti

Mendeley readers

The data shown below were compiled from readership statistics for 15 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Japan 1 7%
United States 1 7%
Unknown 13 87%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 3 20%
Researcher 3 20%
Student > Master 3 20%
Other 1 7%
Student > Bachelor 1 7%
Other 2 13%
Unknown 2 13%
Readers by discipline Count As %
Computer Science 12 80%
Unknown 3 20%