RNBG: A Ranking Nodes Based IP Geolocation Method

Liu, Chong; Luo, Xiangyang; Yuan, Fuxiang; Liu, Fenlin

doi:10.1109/infocomwkshps50562.2020.9162976

Cited by 8 publications

(5 citation statements)

References 21 publications

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“…The measurement data are analyzed and processed to establish the mapping relationship with the geographic location to achieve IP geolocation. According to the differences in research methods that are divided into two categories: (1) There are the rule-based IP geolocation algorithms such as SLG [20], Corr-SLG [10], RNBG [9], and Geo-PoP [21]; network characteristics combined with the analysis of the real geographic location are used to discover the corresponding rules. The core rule of SLG is to filter the landmarks with the smallest relative delay to the target IP, based on the assumption that the relative delay size is proportional to the distance.…”

Section: Ip Geolocation Algorithmmentioning

confidence: 99%

“…Compared with IPv4, IPv6 has changed differently in terms of address pools, access methods, protocols, traffic characteristics, and AS-domain-level paths [7]. In a study related to the traditional IPv4 geolocation algorithm, IPv6-CBG [8] shows that the geolocation error of IPv6 networks is about 30% higher than that of IPv4 in the same experimental region due to the high latency in IPv6 networks; the RNBG [9] algorithm relies on the delay distribution rules in IPv4 and the difference in the delay distribution caused by the topological changes in IPv6. The Corr-SLG [10] algorithm enhances the SLG algorithm in weakly connected networks by evaluating the positive and negative correlations of hosts' relative delay distances, but it cannot improve the localization accuracy for weakly connected hosts and degraded localization performance.…”

Section: Introductionmentioning

confidence: 99%

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SubvectorS_Geo: A Neural-Network-Based IPv6 Geolocation Algorithm

Zhang

et al. 2023

Applied Sciences

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IPv6 geolocation is necessary for many location-based Internet services. However, the accuracy of the current IPv6 geolocation methods including machine-learning-based or deep-learning-based location algorithms are unsatisfactory for users. Strong geographic correlation is observed for measurement path features close to the target IP, so previous methods focused more on stable paths in the vicinity of the probe. Based on this, this paper proposes a new IPv6 geolocation algorithm, SubvectorS_Geo, which is mainly divided into three steps: firstly, it filters geographically relevant routing feature codes layer by layer to approximate the fine-grained trusted region of the target; secondly, it extracts delay vectors into the trusted region; thirdly, it evaluates the vector similarity to determine the final target geolocation information. The final experiments show that the median error distance range is 7.025 km to 9.709 km on three real datasets (Shanghai, New York State, and Tokyo). Compared with the advanced method, the median distance error distance is reduced by at least 6.8% and the average error distance is reduced by at least 9.2%.

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Section: Ip Geolocation Algorithmmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

SubvectorS_Geo: A Neural-Network-Based IPv6 Geolocation Algorithm

Zhang

et al. 2023

Applied Sciences

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“…The rapid proliferation of the Internet and the ubiquitous adoption of mobile applications have precipitated an unprecedented demand for the precise geolocation of IP addresses [1,2]. In the recent past, a multitude of IP geolocation methodologies have been proposed, finding wide-ranging applications across diverse sectors such as online services, targeted advertising, social sharing, network performance enhancement, and bolstering network security [3][4][5]. The most commonly employed technique for IP geolocation hinges on database queries, which involves soliciting an IP geolocation database to extract the geolocation specifics of IP addresses.…”

Section: Introductionmentioning

confidence: 99%

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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“…Previous works like [4] point out that the geographical locations of users or content providers are important information for detecting unauthenticated or malicious devices. IP geolocation can find the geographical location of Internet hosts as well as smart devices based on its IP address [5]. Besides authentication, IP geolocation also helps in identifying the geographical location of cyberattacks or online frauds for law enforcement organizations and government agencies [6].…”

Section: Introductionmentioning

confidence: 99%

“…City-level IP geolocation has developed into a relatively mature stage. e main methods include GeoPing [7], CBG [8], TBG [9], Octant [10], Structon [11], GeoGet [12], Chen-Geo [13], PLAG [14], Yuan-Geo [15], and RNBG [5]. is paper mainly discusses street-level IP geolocation methods.…”

Section: Introductionmentioning

confidence: 99%

A Street-Level IP Geolocation Method Based on Delay-Distance Correlation and Multilayered Common Routers

Ding

Zhao²,

Luo³

2021

Security and Communication Networks

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The geographical locations of smart devices can help in providing authentication information between multimedia content providers and users in 5G networks. The IP geolocation methods can help in estimating the geographical location of these smart devices. The two key assumptions of existing IP geolocation methods are as follows: (1) the smallest relative delay comes from the nearest host; (2) the distance between hosts which share the closest common routers is smaller than others. However, the two assumptions are not always true in weakly connected networks, which may affect accuracy. We propose a novel street-level IP geolocation algorithm (Corr-SLG), which is based on the delay-distance correlation and multilayered common routers. The first key idea of Corr-SLG is to divide landmarks into different groups based on relative-delay-distance correlation. Different from previous methods, Corr-SLG geolocates the host based on the largest relative delay for the strongly negatively correlated groups. The second key idea is to introduce the landmarks which share multilayered common routers into the geolocation process, instead of only relying on the closest common routers. Besides, to increase the number of landmarks, a new street-level landmark collection method called WiFi landmark is also presented in this paper. The experiments in one province capital city of China, Zhengzhou, show that Corr-SLG can improve the geolocation accuracy remarkably in a real-world network.

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RNBG: A Ranking Nodes Based IP Geolocation Method

Cited by 8 publications

References 21 publications

SubvectorS_Geo: A Neural-Network-Based IPv6 Geolocation Algorithm

SubvectorS_Geo: A Neural-Network-Based IPv6 Geolocation Algorithm

Evaluation Method of IP Geolocation Database Based on City Delay Characteristics

A Street-Level IP Geolocation Method Based on Delay-Distance Correlation and Multilayered Common Routers

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