A Landmark Calibration Based IP Geolocation Approach

Chen, Jingning; Liu, Fenlin; Luo, Xiangyang; Zhao, Fan; Zhu, Guang

doi:10.1109/ares.2015.52

Cited by 5 publications

(5 citation statements)

References 17 publications

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“…First, we select the amount of landmarks to be used. This number can be among the following values: [10,20,30,50,100,200]. We use 3 different speeds per landmark, namely 40, 80 and 120km/ms.…”

Section: Resultsmentioning

confidence: 99%

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ImMuNE: Improved Multilateration in Noisy Environments

Champion

Daciér

Chiapponi

2022

2022 IEEE 11th International Conference on Cloud Networking (CloudNet)

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Identifying an attacker is a key factor to mitigate ongoing attacks. To evade localization, a single compromised machine can hide for months behind millions of available residential IP proxies. Without knowing the IP address of the machine, registration-based geolocation methods cannot be applied.Measurement-based methods have been proposed to estimate the location of a target without using its IP address. These methods use Round Trip Time (RTT) values and network speed modeling. They estimate a distance between the target and other observation points with known locations, called landmarks. However, most of these methods require additional information, whether it is on the topology of the network or the characteristics of the landmarks.In this paper, we present ImMuNE, a measurement-based technique which can estimate a location with only a few Round Trip Time measurements between a target and landmarks, even when some of these measures are inflated by temporary network congestion.Leveraging a previously made measurement campaign, we present promising results based on 11 millions TCP connections collected over a period of 4 months.

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Section: Resultsmentioning

confidence: 99%

“…Several measurement-based location methods have been proposed in the past. In [9] and [10], the authors aim to use measurement-based location to complement IP block-tolocation database methods and need the IP address. In our use-case scenario we do not assume to have access to the IP address.…”

Section: State Of the Artmentioning

confidence: 99%

ImMuNE: Improved Multilateration in Noisy Environments

Champion

Daciér

Chiapponi

2022

2022 IEEE 11th International Conference on Cloud Networking (CloudNet)

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“…Combining the timing measurements obtained by the set of landmarks allows to narrow down the location of the target. While this allows for predictions up to street-level granularity [14,59], landmark-based systems rely on a trusted setup. Spotter and Co. depend on accurate ground truth information for landmark locations, as well as on honest accurate reporting of timing measurements by the landmarks.…”

Section: Introductionmentioning

confidence: 99%

VerLoc: Verifiable Localization in Decentralized Systems

Kohls,

Diaz

2021

Preprint

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This paper tackles an open challenge: reliably determining the geo-location of nodes in decentralized networks, considering adversarial settings and without depending on any trusted parties. In particular, we consider active adversaries that control a subset of nodes, announce false locations and strategically manipulate measurements. To address this problem we propose, implement and evaluate VerLoc, a system that allows verifying the claimed geo-locations of network nodes in a fully decentralized manner. VerLoc securely schedules round trip time (RTT) measurements between randomly chosen pairs of nodes in a way that cannot be biased by an adversary. Trilateration is then applied to the set of measurements to verify claimed geo-locations. VerLoc verifies genuine locations with more than 90% accuracy, and it is capable of detecting and filtering out adversarial timing manipulations for network setups with up to 25% malicious nodes.

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“…A growing number of applications, e.g., targeted advertising, location-based content customizing, and network performance optimizing, are widely used with the help of IP geolocation. A series of landmark-based approaches [2][3][4][5][6][7][8][9] are widely used due to their high accuracy and high reliability. Hence, a great number of high-precision street-level landmarks have become the key foundation for IP geolocation.…”

Section: Introductionmentioning

confidence: 99%

Evaluator: A Multilevel Decision Approach for Web-Based Landmark Evaluation

Yin¹,

Yang²,

Liu³

et al. 2020

Security and Communication Networks

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Street-level landmarks are an important basis for street-level IP geolocation, and the web-based landmark is one of the main sources of street-level landmarks. Considering the existing street-level landmark evaluation methods having low accuracy and strict constraints, this paper analyses the causes and evaluation idea of invalid web-based candidate landmarks and proposes Evaluator, a web-based landmark evaluation approach. Evaluator adopts the idea of the decision tree to filter invalid landmarks layer by layer and comprehensively estimates the quantitative reliability of candidate landmarks with public data and services to obtain reliable landmarks. This paper proposes the domain name system (DNS) distributed query algorithm to effectively resolve all IP addresses of a domain name, which provides data support for Evaluator to filter candidate landmarks. Meanwhile, this paper also proposes a reverse verification algorithm to obtain all domain names of an IP address, which provides an important reference to calculate the reliability of a reliable landmark. In addition, gradient descent is used to assess the parameters of the reliability estimating model, which effectively improves the robustness of Evaluator. Experiments show that reliable landmarks from Evaluator reduce the geolocation error of 100 targets in Hong Kong from 7.30 km to 3.91 km, compared with the landmark verifying method (LVM), one of the latest web-based landmark evaluation methods. Moreover, Evaluator significantly improves the evaluation coverage based on the same geolocation accuracy with street-level landmark evaluation (SLE), one of the latest landmark evaluation methods.

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A Landmark Calibration Based IP Geolocation Approach

Cited by 5 publications

References 17 publications

ImMuNE: Improved Multilateration in Noisy Environments

ImMuNE: Improved Multilateration in Noisy Environments

VerLoc: Verifiable Localization in Decentralized Systems

Evaluator: A Multilevel Decision Approach for Web-Based Landmark Evaluation

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