RIPE IPmap active geolocation

Du, Ben; Candela, Massimo; Huffaker, Bradley; Snoeren, Alex C.; claffy, kc

doi:10.1145/3402413.3402415

Cited by 26 publications

(5 citation statements)

References 20 publications

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“…For instance, Q Li et al achieved IP geolocation through fine-grained and stable webcam landmarks [1], while Z Ma et al proposed an IPv6 geolocation algorithm predicated on neural networks [22]. Despite the rapid strides in IP geolocation technology, numerous scholars have underscored that current IP geolocation databases provide geolocation information for IP addresses that is reliable at the national level but falls short at the city level [10][11][12]. M Cozar et al pointed out that a number of online databases and services furnish geolocation data for IP addresses with varying degrees of accuracy and reliability [23].…”

Section: Related Workmentioning

confidence: 99%

“…The literature [10][11][12] highlights that while different IP geolocation libraries perform commendably in national-level geolocation efforts for IP addresses, they exhibit significant disparities in city-level geolocation efforts. This observation motivates us to consider the primary differences between IP geolocation repositories for effective evaluation.…”

Section: City-based Assessment Strategiesmentioning

confidence: 99%

“…Gharaibeh et al, in their appraisal of four databases using a limited dataset, deduced that these databases exhibit a 95.8% location consistency at the national level; however, this consistency plummets to 71% at the city level [11]. Ben Du et al, in their evaluation of RIPE IPmap's performance, discovered that its city-level positioning accuracy hovered around 80.3% [12]. Gouel et al, through a decade-long longitudinal study, unearthed significant short-term dynamics in the GeoIP2 database [9].…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Evaluation Method of IP Geolocation Database Based on City Delay Characteristics

Xie,

Zhang,

Liu

et al. 2023

Electronics

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Despite the widespread use of IP geolocation databases, a robust and precise method for evaluating their accuracy remains elusive. This study presents a novel algorithm designed to assess the reliability of IP geolocation databases, leveraging the congruence of delay distributions across network segments and cities. We developed a fusion reference database, termed CDCDB, to facilitate the evaluation of commercial IP geolocation databases. Remarkably, CDCDB achieves an average positioning accuracy at the city level of 94%, coupled with a city coverage of 99.99%. This allows for an effective and comprehensive evaluation of IP geolocation databases. When compared to IPUU, CDCDB demonstrates an increase in the number of network segments by 18.7%, an increase in the number of high-quality network segments by 13.2%, and an enhancement in the coverage of city-level network segments by 20.92%. The evaluation outcomes reveal that the reliability of IP geolocation databases is not uniform across different cities. Moreover, distinct IP geolocation databases display varying preferences for cities. Consequently, we advise online service providers to select suitable IP geolocation databases based on the cities they cater to, as this could significantly enhance service quality.

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Section: Related Workmentioning

confidence: 99%

Section: City-based Assessment Strategiesmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Evaluation Method of IP Geolocation Database Based on City Delay Characteristics

Xie,

Zhang,

Liu

et al. 2023

Electronics

View full text Add to dashboard Cite

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“…The geolocation is made using a combination of sources, including DNS based techniques [36], peering information [13, 14], and MaxMind [4]. (2) RIPE IPMap is the service providing a daily dataset of the router IP addresses that the single radius technique [23] could geolocate at city level. A snapshot of March 2023 contained 419K IP addresses, which is significant, but still far from the 3.3M router IP addresses seen by state-of-the-art topology mapping systems [30,44].…”

Section: Towards a Publicly Available Dataset Of The Routable Spacementioning

confidence: 99%

Replication: Towards a Publicly Available Internet Scale IP Geolocation Dataset

Darwich,

Rimlinger,

Dreyfus

et al. 2023

Proceedings of the 2023 ACM on Internet Measurement Conference

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IP geolocation is one of the most widely used forms of metadata for IP addresses, and despite almost twenty years of effort from the research community, the reality is that there is no accurate, complete, up-to-date, and explainable publicly available dataset for IP geolocation. We argue that a central reason for this state of affairs is the impressive results from prior publications, both in terms of accuracy and coverage: up to street level accuracy and locating millions of IP addresses with a few hundred vantage points in months. We believe the community would substantially benefit from a public baseline dataset and code. To encourage future research in IP geolocation, we replicate two geolocation techniques and evaluate their accuracy and coverage. We show that we can neither use the first technique to obtain the previously claimed street level accuracy, nor the second to geolocate millions of IP addresses on today's Internet and with publicly available measurement infrastructure. In addition to this reappraisal, we re-evaluate the fundamental insights that led to these prior results, as well as provide new insights and recommendations to help the design of future geolocation techniques. All of our code and data are publicly available to support reproducibility.

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“…There is a large body of work studying the connection between timings and distances and taking into account the Internet topology for the purpose of localization [6], [13], [23], [26] and distance bounding [3], [30], [37], [39] on the Internet. Our work is different, in that we do not directly relate timings to traveled distances, but instead use recurring timing characteristics to reidentify previously seen, expected locations.…”

Section: Analysis Of Timings and Internet Trafficmentioning

confidence: 99%

Hope of Delivery: Extracting User Locations From Mobile Instant Messengers

Schnitzler¹,

Kohls²,

Bitsikas³

et al. 2023

Proceedings 2023 Network and Distributed System Security Symposium

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Mobile instant messengers such as WhatsApp use delivery status notifications in order to inform users if a sent message has successfully reached its destination. This is useful and important information for the sender due to the often asynchronous use of the messenger service. However, as we demonstrate in this paper, this standard feature opens up a timing side channel with unexpected consequences for user location privacy. We investigate this threat conceptually and experimentally for three widely spread instant messengers. We validate that this information leak even exists in privacy-friendly messengers such as Signal and Threema.Our results show that, after a training phase, a messenger user can distinguish different locations of the message receiver. Our analyses involving multiple rounds of measurements and evaluations show that the timing side channel persists independent of distances between receiver locations -the attack works both for receivers in different countries as well as at small scale in one city. For instance, out of three locations within the same city, the sender can determine the correct one with more than 80 % accuracy. Thus, messenger users can secretly spy on each others' whereabouts when sending instant messages. As our countermeasure evaluation shows, messenger providers could effectively disable the timing side channel by randomly delaying delivery confirmations within the range of a few seconds. For users themselves, the threat is harder to prevent since there is no option to turn off delivery confirmations.

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RIPE IPmap active geolocation

Cited by 26 publications

References 20 publications

Evaluation Method of IP Geolocation Database Based on City Delay Characteristics

Evaluation Method of IP Geolocation Database Based on City Delay Characteristics

Replication: Towards a Publicly Available Internet Scale IP Geolocation Dataset

Hope of Delivery: Extracting User Locations From Mobile Instant Messengers

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