Abstract
In this work we summarize biometric evidence as well as file type evidence extraction “exported” as formal Forensic Lucid language expression in the form of higher-order intensional contexts for further case analysis by a system that interprets Forensic Lucid expressions for claim verification and event reconstruction. The digital evidence is exported from the Modular Audio Recognition Framework (MARF)’s applications runs on a set of data comprising biometric voice recordings for speaker, gender, spoken accent, etc. as well as more general file type analysis using signal and pattern recognition processing techniques. The focus is in translation aspect of the extracted evidence into formal Forensic Lucid expressions for further analysis.
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Acknowledgment
The author thanks Drs. Joey Paquet and Mourad Debbabi for the helpful and detailed review, suggestions, support, and comments about this work. We acknowledge reviewers who took time to review this work and provide us with constructive feedback. This work is sponsored in part by the Faculty of Engineering and Computer Science, Concordia University, Montreal, Canada.
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Mokhov, S.A. (2010). Encoding Forensic Multimedia Evidence from MARF Applications as Forensic Lucid Expressions. In: Sobh, T., Elleithy, K., Mahmood, A. (eds) Novel Algorithms and Techniques in Telecommunications and Networking. Springer, Dordrecht. https://doi.org/10.1007/978-90-481-3662-9_71
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DOI: https://doi.org/10.1007/978-90-481-3662-9_71
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