A forensic text comparison in SMS messages: A likelihood ratio approach with lexical features

    Research output: Contribution to conferencePaper

    Abstract

    Due to its convenience and low cost, short message service (SMS) has been a very popular medium of communication for quite some time. Unfortunately, however, SMS messages are sometimes used for reprehensible purposes, e.g. communication between drug dealers and buyers, or in illicit acts such as extortion, fraud, scams, hoaxes, and false reports of terrorist threats. In this study, we perform a likelihood-ratio-based forensic text comparison of SMS messages focusing on lexical features. The likelihood ratios (LRs) are calculated in Aitken and Lucy’s (2004) multivariate kernel density procedure, and are calibrated. The validity of the system is assessed based on the magnitude of the LRs using the log-likelihood-ratio cost (Cllr). The strength of the derived LRs is graphically presented in Tippett plots. The results of the current study are compared with those of previous studies
    Original languageEnglish
    Pages55-65pp
    Publication statusPublished - 2012
    Event7th International Workshop on Digital Forensics & Incident Analysis (WDFIA 2012) - Crete, Greece
    Duration: 1 Jan 2012 → …

    Conference

    Conference7th International Workshop on Digital Forensics & Incident Analysis (WDFIA 2012)
    Period1/01/12 → …

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