以室內定位技術之犯罪嫌疑人移動足跡分析與鑑識

Analysis and Forensic of Criminal Suspects’ Footprints with Indoor Positioning Technology

羅嘉寧

銘傳大學 電腦與通訊工程學系

333桃園市龜山區德明路5號

deer@mail.mcu.edu.tw

楊明豪

中原大學 資訊與工程學系

320桃園市中壢區中北路200號

劉邦良

銘傳大學 電腦與通訊工程學系

333桃園市龜山區德明路5號

摘要

司法機關往往使用行動網路定位技術用來監測或追蹤犯罪嫌疑人位置。然而在人口密度稠密之市區，使用無線定位技術往往無法計算出使用者的精確位置。本論文提出一基於室內定位技術之被動式觀察系統，可供第一線調查人員去鑑識調查並預測犯罪嫌疑人於室內環境的移動軌跡。我們於無線基地台周圍之區域，用低成本的物聯網裝置當成輔助觀測節點。當使用者發送封包至 WiFi基地台時，輔助觀測節點也可收聽到同一封包並解析其訊號強度，然後將觀測資訊上傳至雲端伺服器。雲端伺服器取得同一封包由多個輔助觀測節點所收集的強度資訊後，即可快速分析及定位出犯罪嫌疑人的移動足跡。

關鍵詞: 室內定位、被動式觀察系統。

Abstract

The judiciaries often use wireless positioning technology to monitor or track the location of the suspects. In densely populated urban areas, the use of wireless positioning technology is often unable to retrieve the exact locations of the suspects. This paper presents a passive observation system using indoor positioning technology for first-line investigators to identify and predict the footprints of suspects in the indoor environment. We use low-cost IoT devices as the auxiliary observation nodes, located in the wireless base station around the area. When the user sends a packet to the WiFi base station, the auxiliary observing node can listen to the same packet and resolve its signal strength, and then upload the observation data to the cloud server. The cloud server collects the packet’s intensity information collected by the multiple auxiliary observation nodes, it can quickly analyze and locate the footprints of the suspect.

Keywords: indoor positioning, passive observation system