数字法医情报用于法医调查中的非法药物分析
Mayssa Hachem1, Rabeb Mizouni2, Ibtesam Mohammed Alawadhi3
1Department of Chemistry and Healthcare Engineering Innovation Center, Khalifa University of Sciences and Technology, Abu Dhabi P.O. Box 127788, United Arab Emirates.
iScience
|October 20, 2023
概括
本研究介绍了一个数字法医药物情报 (DFDI) 框架. 它融合了数字和药物分析数据,以加强执法.
科学领域:
- 法医科学 法医科学 法医科学
- 犯罪学 犯罪学
- 信息科学 信息科学 信息科学
背景情况:
- 法医情报对于有效的非法毒品分析和执法至关重要.
- 当前的方法可能缺乏综合方法来分析各种数据源.
- 识别犯罪发展和调整执法行动需要强大的情报.
研究的目的:
- 为数字法医药物情报 (DFDI) 提出一个新的框架.
- 为增强情报,将数字法医数据与药物分析数据融合在一起.
- 支持执法部门了解和打击非法毒品贩运.
主要方法:
- 开发一个整合数字取证和毒品分析的框架.
- 智能循环涉及从多种来源有针对性和代性收集证据.
- 分析从被扣押设备和毒品分析信息中结合的数字数据.
主要成果:
- 拟议的DFDI框架能够产生有关贩毒的有价值的情报.
- 数据的融合可以更好地识别贩毒路线和制造业.
- 集中式数据库可以存储用于决策的发现,假设和建议.
结论:
- DFDI框架为非法药物分析提供了一种新的方法.
- 它增强了执法部门对毒品分析,贩运和分销的理解.
- 这种综合情报方法可以带来更明智,更有效的执法策略.
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