Digital forensic intelligence for illicit drug analysis in forensic investigations

被引:0
|
作者
Hachem, Mayssa [1 ]
Mizouni, Rabeb [2 ]
Alawadhi, Ibtesam Mohammed [3 ]
Altamimi, Mohamad J. [4 ]
机构
[1] Khalifa Univ Sci & Technol, Healthcare Engn Innovat Ctr, Dept Chem, POB 127788, Abu Dhabi, U Arab Emirates
[2] Khalifa Univ Sci & Technol, Dept Elect Engn & Comp Sci, POB 127788, Abu Dhabi, U Arab Emirates
[3] Dubai Police Acad, POB 1493, Dubai, U Arab Emirates
[4] Drug Surveillance Ctr, Gen Dept Forens Sci & Criminol, Drug Profiling Sect, Dubai Police, POB 1493, Dubai, U Arab Emirates
关键词
ICP-MS ANALYSIS; ORGANIC IMPURITIES; MASS-SPECTROMETRY; SEIZURES; COCAINE; HEROIN; CHROMATOGRAPHY; METHODOLOGY; SCIENCE;
D O I
10.1016/j.isci.2023.108023
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
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.
引用
收藏
页数:10
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