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 language | English |
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| Pages | 55-65pp |
| Publication status | Published - 2012 |
| Event | 7th International Workshop on Digital Forensics & Incident Analysis (WDFIA 2012) - Crete, Greece Duration: 1 Jan 2012 → … |
Conference
| Conference | 7th International Workshop on Digital Forensics & Incident Analysis (WDFIA 2012) |
|---|---|
| Period | 1/01/12 → … |