Revisiting the Privacy Implications of Two-Way Internet Latency Data

Trammell, Brian; Kühlewind, Mirja

doi:10.1007/978-3-319-76481-8_6

Cited by 14 publications

(6 citation statements)

References 38 publications

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“…1b, RTT values above 2ms are a very strong indication of remote peers, with 99% of the local peers having RTT values less than 1ms. This result is consistent with previous works that exhibited that a delay of 1ms corresponds roughly to a distance of 100 km [54,75], approximating the coverage (i.e., disk diameter) of a single metropolitan area. However, low RTT does not necessarily mean that a peer is local.…”

Section: Rtt Is Not Enoughsupporting

confidence: 93%

O Peer, Where Art Thou? Uncovering Remote Peering Interconnections at IXPs

Giotsas

Nomikos

Kotronis

et al. 2021

IEEE/ACM Trans. Networking

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Internet eXchange Points (IXPs) are Internet hubs that mainly provide the switching infrastructure to interconnect networks and exchange traffic. While the initial goal of IXPs was to bring together networks residing in the same city or country, and thus keep local traffic local, this model is gradually shifting. Many networks connect to IXPs without having physical presence at their switching infrastructure. This practice, called Remote Peering, is changing the Internet topology and economy, and has become the subject of a contentious debate within the network operators' community. However, despite the increasing attention it attracts, the understanding of the characteristics and impact of remote peering is limited. In this work, we introduce and validate a heuristic methodology for discovering remote peers at IXPs. We (i) identify critical remote peering inference challenges, (ii) infer remote peers with high accuracy (>95%) and coverage (93%) per IXP, and (iii) characterize different aspects of the remote peering ecosystem by applying our methodology to 30 large IXPs. We observe that remote peering is a significantly common practice in all the studied IXPs; for the largest IXPs, remote peers account for 40% of their member base. We also show that today, IXP growth is mainly driven by remote peering, which contributes two times more than local peering.

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Section: Rtt Is Not Enoughsupporting

confidence: 93%

O Peer, Where Art Thou? Uncovering Remote Peering Interconnections at IXPs

Giotsas

Nomikos

Kotronis

et al. 2021

IEEE/ACM Trans. Networking

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“…Special care is also required when working with measurement platforms, such as RIPE Atlas. For instance, geolocation studies and services based on latency [4,8,27] should avoid making inferences during peak hours and with probes affected by persistent last-mile congestion. More generally, we recommend inspecting last-mile latency for any Internet delay study as last-mile congestion may induce wrong inferences.…”

Section: Discussionmentioning

confidence: 99%

Persistent Last-mile Congestion

Fontugne

Shah

Cho

2020

Proceedings of the ACM Internet Measurement Conference

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Last-mile is the centerpiece of broadband connectivity, as poor last-mile performance generally translates to poor quality of experience. In this work we investigate last-mile latency using traceroute data from RIPE Atlas probes located in 646 ASes and focus on recurrent performance degradation. We find that in normal times probes in only 10% ASes experience persistent last-mile congestion but we recorded 55% more congested ASes during the COVID-19 outbreak. Persistent last-mile congestion is not uncommon, it is usually seen in large eyeball networks and may span years. With the help of CDN access log data, we dissect results for major ISPs in Japan, the most severely affected country in our study, and ascertain bottlenecks in the shared legacy infrastructure.

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“…In 2006, Katz-Bassett noted that a simple Shortest Ping [23] method -where the target is inferred to be in the same location as the VP with the shortest round trip time (RTT) to the target -was sufficient, and that the accuracy and precision of CBG [17,18] was heavily influenced by the closest VP. In 2018, Trammell showed the significant element of luck involved in delay-based geolocation, as the single closest VP usually provides all of the geolocation benefit in practice [51]. RIPE Atlas' Single Radius geolocation engine uses this approach to provide an on-demand geolocation system [11].…”

Section: Delay-based Geolocationmentioning

confidence: 99%

Learning to extract geographic information from internet router hostnames

Luckie

Huffaker

Marder

et al. 2021

Proceedings of the 17th International Conference on Emerging Networking EXperiments and Technologies

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Geolocating Internet routers is a long-standing and notoriously difficult challenge, and current solutions lack the accuracy and adaptability to yield reliable results. We revisit this problem, designing a solution capable of accurately and comprehensively extracting geographic information that network operators embed into router interface hostnames. We train our system using dictionaries that map geographic codes to known locations, and constrain inferences with delay measurements conducted from a distributed set of vantage points. While most operators use known geographic codes, some devise their own mnemonic codes for locations, which our system also extracts and interprets. We evaluate our system on Internet-wide topology datasets, automatically learning regular expressions (regexes) for 1023 different domain suffixes with IPv4 routers, and 241 different domain suffixes with IPv6 routers. We received ground truth from operators of 13 domain suffixes, all of whom confirmed the correctness of our learned regexes, and that our system correctly interpreted 78.6% of the custom geographic codes. For these 13 suffixes, our solution more accurately extracts and interprets geographic information than the previous state-of-the-art, correctly geolocating 94.0% of router hostnames with a geohint compared to DRoP (56.6%) and HLOC (73.1%). This work advances the ability of researchers and network operators to characterize the location of critical Internet infrastructure, a foundational building block of network performance, security, and resilience analysis. We release the source code of our system and our inferred regexes.

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Revisiting the Privacy Implications of Two-Way Internet Latency Data

Cited by 14 publications

References 38 publications

O Peer, Where Art Thou? Uncovering Remote Peering Interconnections at IXPs

O Peer, Where Art Thou? Uncovering Remote Peering Interconnections at IXPs

Persistent Last-mile Congestion

Learning to extract geographic information from internet router hostnames

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