Passive and Active Measurement

Table of Contents

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   Book Overview
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   Chapter 1 Exploring Tor’s Activity Through Long-Term Passive TLS Traffic Measurement
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   Chapter 2 Measuring the Latency and Pervasiveness of TLS Certificate Revocation
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   Chapter 3 Tracking Personal Identifiers Across the Web
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   Chapter 4 Like a Pack of Wolves: Community Structure of Web Trackers
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   Chapter 5 A First Analysis of Multipath TCP on Smartphones
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   Chapter 6 Crowdsourcing Measurements of Mobile Network Performance and Mobility During a Large Scale Event
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   Chapter 7 A Study of MVNO Data Paths and Performance
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   Chapter 8 Detecting Cellular Middleboxes Using Passive Measurement Techniques
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    Chapter 9 Passive and Active Measurement
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    Chapter 10 A Case Study of Traffic Demand Response to Broadband Service-Plan Upgrades
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    Chapter 11 eXploring Xfinity
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    Chapter 12 NAT Revelio: Detecting NAT444 in the ISP
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    Chapter 13 GPLMT: A Lightweight Experimentation and Testbed Management Framework
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    Chapter 14 Periscope: Unifying Looking Glass Querying
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    Chapter 15 Analyzing Locality of Mobile Messaging Traffic using the MATAdOR Framework
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    Chapter 16 Scout: A Point of Presence Recommendation System Using Real User Monitoring Data
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    Chapter 17 Is the Web HTTP/2 Yet?
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    Chapter 18 Modeling HTTP/2 Speed from HTTP/1 Traces
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    Chapter 19 Behind Box-Office Sales: Understanding the Mechanics of Automation Spam in Classifieds
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    Chapter 20 Towards a Model of DNS Client Behavior
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    Chapter 21 Detecting DNS Root Manipulation
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    Chapter 22 Behind IP Prefix Overlaps in the BGP Routing Table
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    Chapter 23 Characterizing Rule Compression Mechanisms in Software-Defined Networks
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    Chapter 24 Blackholing at IXPs: On the Effectiveness of DDoS Mitigation in the Wild
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    Chapter 25 Dissecting the Largest National Ecosystem of Public Internet eXchange Points in Brazil
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    Chapter 26 traIXroute: Detecting IXPs in traceroute paths
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    Chapter 27 A Brief History of MPLS Usage in IPv6
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    Chapter 28 An Empirical Study of Android Alarm Usage for Application Scheduling
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    Chapter 29 Network Timing and the 2015 Leap Second
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    Chapter 30 Can Machine Learning Benefit Bandwidth Estimation at Ultra-high Speeds?