摘要
提出一套利用算法模型构建嫌疑人画像的过程方法。该方法包含三层算法模型搭建,首先通过数据采集层提取犯罪嫌疑人的手机信息;再利用特征提取层,提取出其经济、关系、时间和空间属性;最后经由多重算法的行为分析层,构建出嫌疑人画像。这种从基层一线部门获取特定案件嫌疑人手机记录,开发出算法模型的方法,拓宽了电子数据在公安侦查领域的应用。
A process method was proposed to outline suspect portrait by using algorithm model.This method consisted of a three-layer algorithm model.Firstly,the mobile phone records of suspects were extracted through the data collection layer.Then the parameters of economy,relationship,times and spaces were extracted by using feature extraction layer.Finally,the suspect portrait was constructed through the behavior analysis layer of multiple algorithms.This method obtained the mobile phone records of suspects in specific cases from the grass-roots front-line departments to develop the algorithm model,which broadened the application of electronic data in the field of public security investigation.
作者
陈芳琳
CHEN Fanglin(Department of Criminal Science and Technology,Guangdong Police College,Guangzhou 510000,China)
出处
《中国人民公安大学学报(自然科学版)》
2024年第1期105-108,共4页
Journal of People’s Public Security University of China(Science and Technology)
关键词
手机取证
嫌疑人画像
亲密度计算
行为分析
digital forensics technology
suspect portraits
relationships closeness algorithm
behaviors analysis