{"691027":{"#nid":"691027","#data":{"type":"event","title":"PhD Defense by   Amanda Hsu","body":[{"value":"\u003Cp\u003ETitle: Reevaluating Deployment Expectations in an Evolving Internet\u0026nbsp;\u003C\/p\u003E\u003Cp\u003EDate: Wednesday, July 15th, 2026\u003C\/p\u003E\u003Cp\u003ETime: 12:00PM-2:00PM ET\u003C\/p\u003E\u003Cp\u003ELocation (in-person): Coda C1015 (Vinings)\u003C\/p\u003E\u003Cp\u003ELocation (virtual):\u0026nbsp;\u003Ca href=\u0022https:\/\/nam12.safelinks.protection.outlook.com\/?url=https%3A%2F%2Fgatech.zoom.us%2Fj%2F95900820099%3Fpwd%3Du0TMXBJdCyM1QLswdTaVa3fipboNGW.1\u0026amp;data=05%7C02%7Ctm186%40gtvault.onmicrosoft.com%7C62319b183188448ecba908ded8595116%7C482198bbae7b4b258b7a6d7f32faa083%7C1%7C0%7C639186075288247458%7CUnknown%7CTWFpbGZsb3d8eyJFbXB0eU1hcGkiOnRydWUsIlYiOiIwLjAuMDAwMCIsIlAiOiJXaW4zMiIsIkFOIjoiTWFpbCIsIldUIjoyfQ%3D%3D%7C0%7C%7C%7C\u0026amp;sdata=GTtmfFeFw3FSz0HcnRDz6%2FfiQLOS0r80tvH3KDurh2M%3D\u0026amp;reserved=0\u0022 title=\u0022https:\/\/nam12.safelinks.protection.outlook.com\/?url=https%3A%2F%2Fgatech.zoom.us%2Fj%2F95900820099%3Fpwd%3Du0TMXBJdCyM1QLswdTaVa3fipboNGW.1\u0026amp;data=05%7C02%7Cahsu67%40gtvault.onmicrosoft.com%7C8ad969a8955348c5a78a08ded6c498f7%7C482198bbae7b4b258b7a6d7f32faa0\u0022\u003Ehttps:\/\/gatech.zoom.us\/j\/95900820099?pwd=u0TMXBJdCyM1QLswdTaVa3fipboNGW.1\u003C\/a\u003E\u003C\/p\u003E\u003Cp\u003EMeeting ID: 959 0082 0099\u003C\/p\u003E\u003Cp\u003EPasscode: 370542\u003C\/p\u003E\u003Cp\u003E\u0026nbsp;\u003C\/p\u003E\u003Cp\u003EAmanda Hsu\u003C\/p\u003E\u003Cp\u003EPh.D. Candidate, Computer Science\u003C\/p\u003E\u003Cp\u003ESchool of Cybersecurity and Privacy\u003C\/p\u003E\u003Cp\u003EGeorgia Institute of Technology\u003C\/p\u003E\u003Cp\u003E\u0026nbsp;\u003C\/p\u003E\u003Cp\u003ECommittee:\u003C\/p\u003E\u003Cp\u003EDr. Frank Li (co-advisor), School of Cybersecurity and Privacy, Georgia Institute of Technology\u003C\/p\u003E\u003Cp\u003EDr. Paul Pearce (co-advisor), School of Information and Computer Sciences, University of California Irvine\u003C\/p\u003E\u003Cp\u003EDr. Cecilia Testart, School of Cybersecurity and Privacy, Georgia Institute of Technology\u003C\/p\u003E\u003Cp\u003EDr. Ellen Zegura, School of Computer Science, Georgia Institute of Technology\u003C\/p\u003E\u003Cp\u003EDr. Nick Feamster, Department of Computer Science, University of Chicago\u003C\/p\u003E\u003Cp\u003E\u0026nbsp;\u003C\/p\u003E\u003Cp\u003EAbstract:\u003C\/p\u003E\u003Cp\u003EInternet infrastructure has evolved significantly since its inception. However, monitoring and characterizing Internet infrastructure, such as performance and deployment of various technologies, presents open problems with significant implications. As IPv6 deployment increases, measurement techniques and analysis in IPv4 leave behind a large fraction of the Internet. From this arises other questions of Internet infrastructure usage, such as the state of IP sharing deployment and how bots powering modern AI services are deployed. This dissertation presents empirical methods to characterize the new state of these phenomena at scale.\u0026nbsp;\u003C\/p\u003E\u003Cp\u003E\u0026nbsp;\u003C\/p\u003E\u003Cp\u003EFirst, we discuss work that evaluates expectations about IP-based infrastructure. By analyzing data from the governing organizations that allocate Internet number resources, we find that such heuristics used in IPv4 measurement, such as typical prefix sizes, do not exist in IPv6. Rather, deployment strategies are heterogeneous. We then discuss work that measures a transition mechanism that bridges connections together, allowing an IPv6-connected device to access resources hosted in IPv4. While we measure from end-user devices and over 1 million open resolvers, we find few measurable deployments, contradicting anecdotal reports from operators. Thus, this work highlights a gap in our measurement abilities, obfuscating a key dimension of IP connectivity. Next, we shift our focus to how the IP version may affect end-user network performance. Using a residential measurement platform, we systematically execute and compare speed tests in multiple software in each IP version. We identify several systematic factors that correlate with significant differences in performance, including providers and speed test measurement infrastructure itself. This work highlights an important, yet frequently forgotten, network characteristic and calls for future work to rethink analysis and measurement.\u003C\/p\u003E\u003Cp\u003E\u0026nbsp;\u003C\/p\u003E\u003Cp\u003EWe then analyze large-scale network deployment characteristics from the perspective of a global Content Delivery Network (CDN). We present a method to detect massive IP sharing deployment (e.g. Carrier-Grade NAT) that solely relies on high-level traffic patterns. Our findings paint a stark picture of the Internet; over 40% of IPv4 traffic emerges from less than 2% of active addresses. We additionally surprise deployment of large-scale IPv6 sharing, accounting for over 7% of IPv6 traffic in North America. We then shift our focus to another widely-deployed mechanism: LLM-based AI services. Here, we provide an unprecedented view into the infrastructure sending traffic from the bots and crawlers supporting these services, providing granular transparency that can enable future work in understanding this new ecosystem.\u0026nbsp;\u003C\/p\u003E\u003Cp\u003E\u0026nbsp;\u003C\/p\u003E\u003Cp\u003EUltimately, this dissertation shows that when new mechanisms are deployed to the Internet, they contradict deployment expectations about IP address allocation and usage, performance, and user behavior.\u003C\/p\u003E","summary":"","format":"limited_html"}],"field_subtitle":"","field_summary":[{"value":"\u003Cp\u003EReevaluating Deployment Expectations in an Evolving Internet\u0026nbsp;\u003C\/p\u003E","format":"limited_html"}],"field_summary_sentence":[{"value":"Reevaluating Deployment Expectations in an Evolving Internet "}],"uid":"27707","created_gmt":"2026-07-02 16:48:14","changed_gmt":"2026-07-02 16:48:50","author":"Tatianna Richardson","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2026-07-15T12:00:00-04:00","event_time_end":"2026-07-15T14:00:00-04:00","event_time_end_last":"2026-07-15T14:00:00-04:00","gmt_time_start":"2026-07-15 16:00:00","gmt_time_end":"2026-07-15 18:00:00","gmt_time_end_last":"2026-07-15 18:00:00","rrule":null,"timezone":"America\/New_York"},"location":"Coda C1015 (Vinings) Location ","extras":[],"groups":[{"id":"221981","name":"Graduate Studies"}],"categories":[],"keywords":[{"id":"100811","name":"Phd Defense"}],"core_research_areas":[],"news_room_topics":[],"event_categories":[{"id":"1788","name":"Other\/Miscellaneous"}],"invited_audience":[{"id":"78771","name":"Public"}],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[],"email":[],"slides":[],"orientation":[],"userdata":""}}}