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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 Detection of Intrusions and Malware, and Vulnerability Assessment
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    Chapter 2 “Nice Boots!” - A Large-Scale Analysis of Bootkits and New Ways to Stop Them
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    Chapter 3 C5: Cross-Cores Cache Covert Channel
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    Chapter 4 Intrusion Detection for Airborne Communication Using PHY-Layer Information
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    Chapter 5 That Ain’t You: Blocking Spearphishing Through Behavioral Modelling
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    Chapter 6 Robust and Effective Malware Detection Through Quantitative Data Flow Graph Metrics
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    Chapter 7 Jackdaw: Towards Automatic Reverse Engineering of Large Datasets of Binaries
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    Chapter 8 Fine-Grained Control-Flow Integrity Through Binary Hardening
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    Chapter 9 Powerslave: Analyzing the Energy Consumption of Mobile Antivirus Software
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    Chapter 10 The Role of Cloud Services in Malicious Software: Trends and Insights
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    Chapter 11 Capturing DDoS Attack Dynamics Behind the Scenes
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    Chapter 12 Quit playing games with my heart: Understanding online dating scams
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    Chapter 13 More Guidelines Than Rules: CSRF Vulnerabilities from Noncompliant OAuth 2.0 Implementations
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    Chapter 14 May I? - Content Security Policy Endorsement for Browser Extensions
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    Chapter 15 On the Security and Engineering Implications of Finer-Grained Access Controls for Android Developers and Users
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    Chapter 16 Identifying Intrusion Infections via Probabilistic Inference on Bayesian Network
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    Chapter 17 Controlled Data Sharing for Collaborative Predictive Blacklisting
Overall attention for this book and its chapters
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (91st percentile)
  • High Attention Score compared to outputs of the same age and source (86th percentile)

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