사물인터넷 기반 범죄예방 모델 개발을 위한 위험상황 감지 범위 설정

Abstract

When the Internet of Things is used to implement services of crime prevention based on the Internet of Things, establishing ranges of real-world context cognition and danger perception may be different from what it had been. If the scope of detecting dangerous situations to prevent crimes is limited to spatial factors, it may be difficult to cope with variable situations. It may also be insufficient to focus on human who live in urban spaces, for a large number of abnormal situations in the real world are caused by interactions of temporal, spatial, and human factors. We in this study suggest that the scope of detecting dangerous situations should include spatial risk factors and human factors within urban space in order to realize crime prevention services using the Internet of Things. Considering range of detection in the Internet of Things and diversified functions of various sensors, it is reasonable to include various, complicated factors in the detection scope of danger. Most crimes are committed by the complex combination of temporal and spatial environmental factors related to crimes, conditions of victims, and activities of criminals. In order to detect dangerous situations effectively, it is necessary to contain temporal and spatial environmental factors, lives and activities of residents, and accesses and activities of criminals when scope of detecting dangerous situations is established. We demonstrated the validity of the proposed establishment of scope by analyzing the existing criminal events.