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1. On Mapping the Interconnections in Today's Internet

   https://doi.org/10.1109/TNET.2019.2940369  

   Reza Motamedi, Bahador Yeganeh (October 2019, IEEEACM transactions on networking)

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2. Clairvoyance: Inferring Blocklist Use on the Internet

   https://doi.org/10.1007/978-3-030-72582-2_4  

   Li, Vector Guo; Akitwate, Gautam; Levchenko, Kirill; Voelker, Geoffrey M.; Savage, Stefan (March 2021, Passive and Active Measurement (PAM 2021))

   null (Ed.)

   One of the staples of network defense is blocking traffic to and from a list of "known bad" sites on the Internet. However, few organizations are in a position to produce such a list themselves, so pragmatically this approach depends on the existence of third-party "threat intelligence" providers who specialize in distributing feeds of unwelcome IP addresses. However, the choice to use such a strategy, let alone which data feeds are trusted for this purpose, is rarely made public and thus little is understood about the deployment of these techniques in the wild. To explore this issue, we have designed and implemented a technique to infer proactive traffic blocking on a remote host and, through a series of measurements, to associate that blocking with the use of particular IP blocklists. In a pilot study of 220K US hosts, we find as many as one fourth of the hosts appear to blocklist based on some source of threat intelligence data, and about 2% use one of the 9 particular third-party blocklists that we evaluated. 

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3. Internet measurements on EdgeNet

   Vermeulen, Kevin; Ljuma, Burim; Formaux, Olivier; Friedman, Timur; McGeer, Rick (April 2019, CNERT: COMPUTER AND NETWORKING EXPERIMENTAL RESEARCH USING TESTBEDS)

   We describe the deployment of an Internet measurement experiment to three testbeds that offer Linux containers hosted at widely distributed vantage points: the well-established PlanetLab Central and PlanetLab Europe platforms, and the new EdgeNet platform. The experiment results were published in the proceedings of ACM IMC 2018. We compare the capabilities of each testbed and their effect on the ease of deployment of the experiment. Because the software for this experiment has several library dependencies and requires a recent compiler, it was easiest to deploy on EdgeNet, which is based on Docker and Kubernetes. This extended abstract is accompanied by a demonstration of the reproducible deployment of a measurement tool on EdgeNet. 

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4. A Study on Personal Identifiable Information Exposure on the Internet

   https://doi.org/10.1109/CSCI58124.2022.00148  

   Wu, Ningning; Tamilselvan, Robinson; Tayyab, Talha (December 2022, IEEE)
5. A Study on Personal Identifiable Information Exposure on the Internet

   Ningning Wu; Robinson Tamilselvan; Talha Tayyab (December 2022, The 2022 International Conference on Computational Science and Computational Intelligence)

   Abstract—Personal Identifiable Information (PII) is any information that permits the identity of an individual to be directly or indirectly inferred. It should be protected against random access. This paper studies the extent of PII exposure on the Internet. It is hoped that the results of this study can help raise the Internet users’ awareness on privacy protection. 

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