Digital forensic intelligence for illicit drug analysis in forensic investigations
Summary: In forensic investigations, forensic intelligence is required for illicit drug profiling in order to allow police officers and law enforcements to recognize crime developments and adjust their actions. In the present paper, we propose a novel framework for Digital Forensic Drug Intelligence...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2023-10-01
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| Series: | iScience |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2589004223021004 |
| _version_ | 1797647820663029760 |
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| author | Mayssa Hachem Rabeb Mizouni Ibtesam Mohammed Alawadhi Mohamad J. Altamimi |
| author_facet | Mayssa Hachem Rabeb Mizouni Ibtesam Mohammed Alawadhi Mohamad J. Altamimi |
| author_sort | Mayssa Hachem |
| collection | DOAJ |
| description | Summary: In forensic investigations, forensic intelligence is required for illicit drug profiling in order to allow police officers and law enforcements to recognize crime developments and adjust their actions. In the present paper, we propose a novel framework for Digital Forensic Drug Intelligence (DFDI) by fusing digital forensic and drug profiling data through intelligent cycles, where a targeted and iterative collection of evidence from diverse sources is a core step in the process of drug profiling. Drug profiling data combined with digital data from seized devices collected, examined, and analyzed will allow authorities to generate valuable information about illicit drug trafficking routes and manufacturing. Such data can be stored in seized illicit drug databases to build in an intelligent way, all findings, hypotheses and recommendations, allowing law enforcement to make decisions. Our framework will potentially provide a better understanding of profiling, trafficking and distribution of illicit drugs. |
| first_indexed | 2024-03-11T15:22:02Z |
| format | Article |
| id | doaj.art-64c7cd4ea5d1450d9075603d69b71dbd |
| institution | Directory Open Access Journal |
| issn | 2589-0042 |
| language | English |
| last_indexed | 2024-03-11T15:22:02Z |
| publishDate | 2023-10-01 |
| publisher | Elsevier |
| record_format | Article |
| series | iScience |
| spelling | doaj.art-64c7cd4ea5d1450d9075603d69b71dbd2023-10-28T05:09:20ZengElsevieriScience2589-00422023-10-012610108023Digital forensic intelligence for illicit drug analysis in forensic investigationsMayssa Hachem0Rabeb Mizouni1Ibtesam Mohammed Alawadhi2Mohamad J. Altamimi3Department of Chemistry and Healthcare Engineering Innovation Center, Khalifa University of Sciences and Technology, Abu Dhabi P.O. Box 127788, United Arab Emirates; Corresponding authorDepartment of Electrical Engineering and Computer Science, Khalifa University of Sciences and Technology, Abu Dhabi P.O. Box 127788, United Arab EmiratesDubai Police Academy, Dubai P.O. Box 1493, United Arab EmiratesDubai Police, General Department of Forensic Science and Criminology, Drug Surveillance Center, Drug Profiling Section, Dubai P.O. Box 1493, United Arab EmiratesSummary: In forensic investigations, forensic intelligence is required for illicit drug profiling in order to allow police officers and law enforcements to recognize crime developments and adjust their actions. In the present paper, we propose a novel framework for Digital Forensic Drug Intelligence (DFDI) by fusing digital forensic and drug profiling data through intelligent cycles, where a targeted and iterative collection of evidence from diverse sources is a core step in the process of drug profiling. Drug profiling data combined with digital data from seized devices collected, examined, and analyzed will allow authorities to generate valuable information about illicit drug trafficking routes and manufacturing. Such data can be stored in seized illicit drug databases to build in an intelligent way, all findings, hypotheses and recommendations, allowing law enforcement to make decisions. Our framework will potentially provide a better understanding of profiling, trafficking and distribution of illicit drugs.http://www.sciencedirect.com/science/article/pii/S2589004223021004ChemistryForensic toxicologyComputer scienceData analysis |
| spellingShingle | Mayssa Hachem Rabeb Mizouni Ibtesam Mohammed Alawadhi Mohamad J. Altamimi Digital forensic intelligence for illicit drug analysis in forensic investigations iScience Chemistry Forensic toxicology Computer science Data analysis |
| title | Digital forensic intelligence for illicit drug analysis in forensic investigations |
| title_full | Digital forensic intelligence for illicit drug analysis in forensic investigations |
| title_fullStr | Digital forensic intelligence for illicit drug analysis in forensic investigations |
| title_full_unstemmed | Digital forensic intelligence for illicit drug analysis in forensic investigations |
| title_short | Digital forensic intelligence for illicit drug analysis in forensic investigations |
| title_sort | digital forensic intelligence for illicit drug analysis in forensic investigations |
| topic | Chemistry Forensic toxicology Computer science Data analysis |
| url | http://www.sciencedirect.com/science/article/pii/S2589004223021004 |
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