Measurement Vantage Point Selection Using A Similarity Metric

Holterbach, Thomas; Aben, Emile; Pelsser, Cristel; Bush, Randy; Vanbever, Laurent

doi:10.1145/3106328.3106334

Cited by 5 publications

(3 citation statements)

References 1 publication

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“…Kumar et al considered the difference in coverage of IoT devices between inhome and Internet-wide scanning [38]. Holterbach et al investigate the similarity between results from topologically different RIPE Atlas nodes and find that probe selection can increase the number of discovered IPs by as much as 25% compared to the default RIPE Atlas probe selection, but did not investigate why this occurs [30].…”

Section: Related Workmentioning

confidence: 99%

On the Origin of Scanning

Wan

Izhikevich

Adrian³

et al. 2020

Proceedings of the ACM Internet Measurement Conference

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Fast IPv4 scanning has enabled researchers to answer a wealth of security and networking questions. Yet, despite widespread use, there has been little validation of the methodology's accuracy, including whether a single scan provides sufficient coverage. In this paper, we analyze how scan origin affects the results of Internet-wide scans by completing three HTTP, HTTPS, and SSH scans from seven geographically and topologically diverse networks. We find that individual origins miss an average 1.6-8.4% of HTTP, 1.5-4.6% of HTTPS, and 8.3-18.2% of SSH hosts. We analyze why origins see different hosts, and show how permanent and temporary blocking, packet loss, geographic biases, and transient outages affect scan results. We discuss the implications for scanning and provide recommendations for future studies.

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Section: Related Workmentioning

confidence: 99%

On the Origin of Scanning

Wan

Izhikevich

Adrian³

et al. 2020

Proceedings of the ACM Internet Measurement Conference

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“…To measure overall similarity of a group, we use a generic vantage point similarity metric, which captures group similarity independently of the ultimate measurement target. To begin, we define the Jaccard similarity [24] of probe x with respect to another probe y as:…”

Section: Grouping Vantage Pointsmentioning

confidence: 99%

“…where m is a destination IP, and P x →m is the path from x to m. As noted in [24], basing similarity upon paths to a single destination lacks robustness. To address this, we compare the similarity of paths to a set of destinations, M (where m ∈ M).…”

Section: Grouping Vantage Pointsmentioning

confidence: 99%

Taming Anycast in the Wild Internet

McQuistin

Uppu

Flores

2019

Proceedings of the Internet Measurement Conference

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Anycast is a popular tool for deploying global, widely available systems, including DNS infrastructure and content delivery networks (CDNs). The optimization of these networks often focuses on the deployment and management of anycast sites. However, such approaches fail to consider one of the primary configurations of a large anycast network: the set of networks that receive anycast announcements at each site (i.e., an announcement configuration). Altering these configurations, even without the deployment of additional sites, can have profound impacts on both anycast site selection and round-trip times. In this study, we explore the operation and optimization of anycast networks through the lens of deployments that have a large number of upstream service providers. We demonstrate that these many-provider anycast networks exhibit fundamentally different properties when interacting with the Internet, having a greater number of single AS hop paths and reduced dependency on each provider, compared with few-provider networks. We further examine the impact of announcement configuration changes, demonstrating that in nearly 30% of vantage point groups, round-trip time performance can be improved by more than 25%, solely by manipulating which providers receive anycast announcements. Finally, we propose DailyCatch, an empirical measurement methodology for testing and validating announcement configuration changes, and demonstrate its ability to influence user-experienced performance on a global anycast CDN.

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Cost Efficient Internet Path Tracking Based on Routing Changes Prediction

Liu

2019

2019 IEEE 38th International Performance Computing and Communications Conference (IPCCC)

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Measurement Vantage Point Selection Using A Similarity Metric

Cited by 5 publications

References 1 publication

On the Origin of Scanning

On the Origin of Scanning

Taming Anycast in the Wild Internet

Cost Efficient Internet Path Tracking Based on Routing Changes Prediction

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