Cybercrimes Investigations Research and Education Initiative (CIRE)

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  • Author(s):
    Doyle, M., Kajzer, M.
    Abstract:

    Using a stalking simulation that utilized AirTags as a means of tracking the victim, this research sought to investigate the potential use of AirTags in severe stalking crimes by observing safeguard measures that the AirTags use to warn non-owners who have continuous close location to an AirTag, followed by an investigation into potential stored data location by AirTags. Of particular interest were notifications sent to or observed by the individual who the AirTag tracked, the intensity and f…

    Date Published:
    2021
    Record Visibility:
    Public
  • Author(s):
    Drummond, B., Hernandez, L., Kajzer, M.
    Abstract:

    Using data extracted from an Apple iPhone after its usage on three test drives, this research sought to identify and analyze the types and quantity of data recorded by the phone that might be relevant to traffic crash reconstruction efforts, as well as to see how these data vary depending on application usage. Of particular interest were location and speed data, as those data yield information that are directly applicable to traffic crash reconstruction. Location data was found to be recorded…

    Date Published:
    2021
    Record Visibility:
    Public
  • Author(s):
    Kajzer, M., Crowell, M., Villano, M., Zenk, J., Segerson, J., Battis, N., Behrens, N.
    Abstract:

    The Internet has become a dominant form of online communication and has become a method used to identify, seek out, and contact children for purposes of sexual exploitation. This research examined textual chat utterances seeking differences that would allow researchers to develop acomputer model capable of classifying a person as either a victim or child based solely on the words contained in the chats. Using text analysis methods, predictive keywords were identified that could distinguish be…

    Date Published:
    2021
    Record Visibility:
    Public
  • Author(s):
    Messman, E., Kajzer, M.
    Abstract:

    Using data extracted from an Apple iPhone, this researchsought to identify the metadata available for various types of media before and after that metadata was manipulated by a user. Specifically, this research focused primarily on the metadata associated with pictures and videos taken with the camera application. I also considered another set of pictures that were taken on the Snapchat application and then downloaded to the camera roll. Of particular interest was identifying any evidence of …

    Date Published:
    2022
    Record Visibility:
    Public
  • Author(s):
    Hernandez, L.
    Date Published:
    2020
    Record Visibility:
    Public