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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 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
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    Chapter 21 Adaptive Semantics-Aware Malware Classification
Attention for Chapter 17: Understanding the Privacy Implications of ECS
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Chapter title
Understanding the Privacy Implications of ECS
Chapter number 17
Book title
Detection of Intrusions and Malware, and Vulnerability Assessment
Published by
Springer, Cham, July 2016
DOI 10.1007/978-3-319-40667-1_17
Book ISBNs
978-3-31-940666-4, 978-3-31-940667-1

Panagiotis Kintis, Yacin Nadji, David Dagon, Michael Farrell, Manos Antonakakis

Mendeley readers

The data shown below were compiled from readership statistics for 4 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 4 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 2 50%
Student > Master 1 25%
Other 1 25%
Readers by discipline Count As %
Computer Science 3 75%
Engineering 1 25%