• Product Function

  • Precision Explanation

  • Technical Principle

  • Application Area

  • Product Function

    • Coverage Area

      The geolocation covers 4.3 billion IP, including all network equipment, such as PC, mobile phone, etc.

    • Geolocation Accuracy

      The range of ultra-high accuracy geolocation result can reach 50m to 5km, and district-level geolocation result can reach the district center.

    • Geolocation Results

      Geolocation result returns continent, country, province, city, county, longitude and latitude, zip code, operator and other information.

    • Update Frequency

      Ultra-high precision API, weekly update;district-level API, daily update.

    • Product Performance

      It supports 1000 times/second concurrency, and returns the geolocation result in 10 ms.

    Accuracy Description

    According to the accuracy requirements of IP geolocation in two different scenarios of business and security, Aivan IP geolocation is divided into commercial version and police version.

    Application Scenarios IP Number Geolocation Accuracy The Most Accurate Geolocation Result Range Average Geolocation Range
    Police Version Commercial version Police Version Commercial version
    Company Class(Company, Special Export and Organization) About 27 million Street-Level 10 m 50 m 50m 300m
    Data Center Class(IDC and CDN) About 37 million Street-Level 10 m 100 m 200 m 1 km
    University Class About 18 Street-Level 10 m 100 m 300 m 1 km
    Home Broadband Class About 120 million Street-Level 50 m 1 km 2 km 5 km
    Mobile Network Class(3G、4G and WLAN) About 5.2 million Province-level - - - -
    Others About 170,000 Street-Level 10 m 1 km 1 km 2 km

    Technical Principle

    IP geolocation uses big data mining and large-scale network detection technology to collect and process the basic information of IP addresses and network topology data, and combines IP scene and network attributes and other factors to complete high-precision IP geographic location through comprehensive analysis of algorithms.

    This product is based on the paper Towards Street-Level Client-Independent IP Geolocation (referred to as SLG, published in NSDI 2010) jointly published by Aiwen’s technology founder Dr. Wang Yong, Microsoft Research and Northwestern University. This paper has been cited 146 times. Partial reference is as follows.

    Referenced Articles Author University
    Quantitatively assessing and visualising industrial system attack surfaces Eireann P. Leverett University of Cambridge
    I know where you are and what you are sharing: exploiting P2P communications to invade users' privacy Stevens Le Blond, Chao Zhang, Arnaud Legout, Keith Ross, Walid Dabbous University of Kaiserslautern
    Pingin'in the rain Aaron Schulman, Neil Spring University of Maryland
    Regional variation in Chinese internet filtering Joss Wright University of Oxford
    Towards geolocation of millions of IP addresses Zi Hu, John Heidemann, Yuri Pradkin University of Southern California
    Fine-Grained Censorship Mapping: Information Sources, Legality and Ethics. Joss Wright University of Oxford
    Topology mapping and geolocating for China's Internet Ye Tian, Ratan Dey, Yong Liu, Keith W. Ross University of Science and Technology of China,New York University
    China's Internet: Topology mapping and geolocating Ye Tian, Ratan Dey, Yong Liu, Keith W. Ross University of Science and Technology of China,New York University
    Posit: a lightweight approach for IP geolocation Brian Eriksson, Paul Barford, Bruce Maggs, Robert Nowak University of Wisconsin System,Duke University
    IP-Geolocation Mapping for Moderately Connected Internet Regions Dan Li, Jiong Chen, Chuanxiong Guo, Yunxin Liu, Jinyu Zhang, Zhili Zhang, Yongguang Zhang Tsinghua University,Peking University,MSRA,University of Minnesota System
    DRoP: DNS-based router positioning Bradley Huffaker, Marina Fomenkov, kc claffy University of California, San Diego
    How others compromise your location privacy: The case of shared public IPs at hotspots Nevena Vratonjic, Kévin Huguenin, Vincent Bindschaedler, Jean-Pierre Hubaux Swiss Federal Institute of Technology Zurich,University of Illinois
    Layer 1-informed internet topology measurement Ramakrishnan Durairajan, Joel Sommers, Paul Barford University of Wisconsin System
    Mining checkins from location-sharing services for client-independent ip geolocation Hao Liu, Yaoxue Zhang, Yuezhi Zhou, Di Zhang, Xiaoming Fu, K.K. Ramakrishnan Tsinghua University,University of Gottingen,Rutgers
    HawkEyes: An advanced IP Geolocation approach: IP Geolocation using semantic and measurement based techniques Art Dahnert Overwatch Systems Ltd.
    Understanding geolocation accuracy using network geometry Brian Eriksson, Mark Crovella Palo Alto Institute of Technology,Boston University
    Measuring the relationships between internet geography and rtt Raul Landa, Richard G. Clegg, Joao Taveira Araujo, Eleni Mykoniati, David Griffin, Miguel Rio University College London
    Posit: An adaptive framework for lightweight ip geolocation Brian Eriksson, Paul Barford , Bruce Maggs, Robert Nowak Boston University,University of Wisconsin System,Duke University
    Violating consumer anonymity: Geo-locating nodes in named data networking Alberto Compagno, Mauro Conti, Paolo Gasti, Luigi Vincenzo Mancini, Gene Tsudik At the university of Rome,University of Padua,New York Institute of Technology,University of California
    IXmaps—Tracking your personal data through the NSA's warrantless wiretapping sites Andrew Clement University of Toronto

    Application Area

  • Internet Security Industry Offensive and Defensive Geolocation

    We determine the source of network attack IP by geolocating IP, and conduct network security defense. For example, the government department determines the location of the network attack by geolocating the geographic location of the network attack IP.

  • Internet Financial Industry Risk Control

    Internet financial credit investigation, anti-fraud and location verification. For example, the insurance company determines whether the customer appears in the usual place of residence by determining the location of the customer's IP, thereby reducing credit risk.

  • Internet Online Advertising Launches Precisely

    Online advertising based on IP geographic location improves the efficiency of advertising. For example, according to the IP of different geographical locations, advertisers put advertisements of stores in different regions to enhance the possibility of customers' purchase.

  • Big Data Industry Location Analysis

    We provide ultra-high precision geographic location data analysis latitude and location verification integration services. For example, Internet companies determine the user's living habits by analyzing the location information of the IP used by customers at different points in time.