Linked e-resources
Details
Table of Contents
Intro
Preface
Organization
Contents
COVID-19
Video Conferencing and Flow-Rate Fairness: A First Look at Zoom and the Impact of Flow-Queuing AQM
1 Introduction
2 Background and Related Work
2.1 Congestion Control for Video Conferencing
3 Measurement Design
3.1 Preliminaries
3.2 Testbed Setup
3.3 Fairness Measurement Scenarios and Procedure
4 Zoom Inter-Protocol Fairness Results
4.1 General Observations on Zoom's Behavior
4.2 Competition at Tail-Drop Queues
4.3 Competition at CoDel Queues
4.4 Competition at FQ_CoDel Queues
5 Conclusion
A QoE Impact of Flow-Queuing AQM
A.1 User Study Design
A.2 Results
References
Characterizing Service Provider Response to the COVID-19 Pandemic in the United States
1 Introduction
2 Related Work
3 Data
4 How Did Traffic Demands Change?
5 What Was the Effect on Performance?
5.1 How Performance Changed After Lockdown
5.2 Throughput-Latency Relationship
6 How Did Service Providers Respond?
6.1 Capacity Increases at Interconnect
6.2 Increased Advertised IP Address Space
7 Conclusion
A Longitudinal Latency Evolution for 2018-2019 (Previous Year)
B Throughput-Latency Relationship
References
A First Look at COVID-19 Domain Names: Origin and Implications
1 Introduction
2 Data
2.1 Collecting Cov19doms
2.2 Collecting Active Websites Using Cov19doms
3 Measurement Study
3.1 Number of New Infections and Cov19doms Registrations
3.2 Understanding the Usage of Cov19doms
3.3 Malicious Activities Using Cov19doms
4 Discussion
4.1 Limitations
4.2 Detecting Malicious Cov19doms
4.3 Ethical Considerations
5 Related Work
6 Conclusion
References
Web Security
Clairvoyance: Inferring Blocklist Use on the Internet
1 Introduction
2 Background
3 Methodology
3.1 Technique Overview
3.2 Criteria for Reflectors
3.3 Sampling Blocklist IPs
3.4 Control Group
3.5 Ethical Considerations
4 Pilot Study Implementation
4.1 Reflector Selection
4.2 Choosing Blocklists and Sampling IPs
4.3 Measurement Setup
5 Pilot Study Overall Results
5.1 Reflectors Using Blocklists
5.2 Partial Blocking
6 Conclusion
A Inference Technique Details
A.1 Inference Criteria
A.2 False Positive and False Negative Analysis
References
Our (in)Secure Web: Understanding Update Behavior of Websites and Its Impact on Security
1 Introduction
2 Background
2.1 Preliminaries
2.2 Web Technologies and Updating
2.3 Common Vulnerabilities and Exposures
3 Method
3.1 Dataset Preparation and Enrichment
3.2 Analyzing Updating Behavior and Security Implications
4 Results
4.1 Update Behavior on the Web
4.2 Security Impact of Not Updating
5 Limitations
6 Related Work
7 Discussion and Conclusion
A Overview of the Top Identified CWEs
B Average age of the 20 used software by website-ranking
Preface
Organization
Contents
COVID-19
Video Conferencing and Flow-Rate Fairness: A First Look at Zoom and the Impact of Flow-Queuing AQM
1 Introduction
2 Background and Related Work
2.1 Congestion Control for Video Conferencing
3 Measurement Design
3.1 Preliminaries
3.2 Testbed Setup
3.3 Fairness Measurement Scenarios and Procedure
4 Zoom Inter-Protocol Fairness Results
4.1 General Observations on Zoom's Behavior
4.2 Competition at Tail-Drop Queues
4.3 Competition at CoDel Queues
4.4 Competition at FQ_CoDel Queues
5 Conclusion
A QoE Impact of Flow-Queuing AQM
A.1 User Study Design
A.2 Results
References
Characterizing Service Provider Response to the COVID-19 Pandemic in the United States
1 Introduction
2 Related Work
3 Data
4 How Did Traffic Demands Change?
5 What Was the Effect on Performance?
5.1 How Performance Changed After Lockdown
5.2 Throughput-Latency Relationship
6 How Did Service Providers Respond?
6.1 Capacity Increases at Interconnect
6.2 Increased Advertised IP Address Space
7 Conclusion
A Longitudinal Latency Evolution for 2018-2019 (Previous Year)
B Throughput-Latency Relationship
References
A First Look at COVID-19 Domain Names: Origin and Implications
1 Introduction
2 Data
2.1 Collecting Cov19doms
2.2 Collecting Active Websites Using Cov19doms
3 Measurement Study
3.1 Number of New Infections and Cov19doms Registrations
3.2 Understanding the Usage of Cov19doms
3.3 Malicious Activities Using Cov19doms
4 Discussion
4.1 Limitations
4.2 Detecting Malicious Cov19doms
4.3 Ethical Considerations
5 Related Work
6 Conclusion
References
Web Security
Clairvoyance: Inferring Blocklist Use on the Internet
1 Introduction
2 Background
3 Methodology
3.1 Technique Overview
3.2 Criteria for Reflectors
3.3 Sampling Blocklist IPs
3.4 Control Group
3.5 Ethical Considerations
4 Pilot Study Implementation
4.1 Reflector Selection
4.2 Choosing Blocklists and Sampling IPs
4.3 Measurement Setup
5 Pilot Study Overall Results
5.1 Reflectors Using Blocklists
5.2 Partial Blocking
6 Conclusion
A Inference Technique Details
A.1 Inference Criteria
A.2 False Positive and False Negative Analysis
References
Our (in)Secure Web: Understanding Update Behavior of Websites and Its Impact on Security
1 Introduction
2 Background
2.1 Preliminaries
2.2 Web Technologies and Updating
2.3 Common Vulnerabilities and Exposures
3 Method
3.1 Dataset Preparation and Enrichment
3.2 Analyzing Updating Behavior and Security Implications
4 Results
4.1 Update Behavior on the Web
4.2 Security Impact of Not Updating
5 Limitations
6 Related Work
7 Discussion and Conclusion
A Overview of the Top Identified CWEs
B Average age of the 20 used software by website-ranking