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Evidential value of country location evidence obtained from IP address geolocation

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26220%2F23%3APU147860" target="_blank" >RIV/00216305:26220/23:PU147860 - isvavai.cz</a>

  • Result on the web

    <a href="https://peerj.com/articles/cs-1305/" target="_blank" >https://peerj.com/articles/cs-1305/</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.7717/peerj-cs.1305" target="_blank" >10.7717/peerj-cs.1305</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Evidential value of country location evidence obtained from IP address geolocation

  • Original language description

    Knowledge of the previous location of an Internet device is valuable information in forensics. The previous device location can be obtained via the IP address that the device used to access Internet services, such as email, banking, and online shopping. However, the problem with the device location using its IP address is the unknown evidential value, which is used to admit the evidence in the case. This work introduces a method to process free and constantly updated data to assess the evidential value of the IP country location. The evidential value is assessed for several countries by analyzing historical data over 8 years. Tampering with the location evidence is discussed, as well as its detection. The source code to replicate the results and to apply the updated data to future evidence is available.

  • Czech name

  • Czech description

Classification

  • Type

    J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database

  • CEP classification

  • OECD FORD branch

    20202 - Communication engineering and systems

Result continuities

  • Project

  • Continuities

    S - Specificky vyzkum na vysokych skolach

Others

  • Publication year

    2023

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Name of the periodical

    PeerJ Computer Science

  • ISSN

    2376-5992

  • e-ISSN

  • Volume of the periodical

    9

  • Issue of the periodical within the volume

    neuvedeno

  • Country of publishing house

    GB - UNITED KINGDOM

  • Number of pages

    20

  • Pages from-to

    1-20

  • UT code for WoS article

    000996366700001

  • EID of the result in the Scopus database

    2-s2.0-85153936123