In this paper, we presented a new model for cyber crime investigation procedure which is as follows: readiness phase, consulting with profiler, cyber crime classification and investigation priority decision, damaged cyber crime scene investigation, analysis by crime profiler, suspects tracking, injurer cyber crime scene investigation, suspect summon, cyber crime logical reconstruction, writing ...

Financial crime is a rampant but hidden threat. In spite of this, predictive policing systems disproportionately target “street crime” rather than white collar crime. This paper presents the White Collar Crime Early Warning System (WCCEWS), a white collar crime predictive model that uses random forest classifiers to identify high risk zones for incidents of financial crime.

This paper extends the Pissarides (2000) model of the labor market to include crime and punishment à la Becker (1968). All workers, irrespective of their labor force status can commit crimes and the employment contract is determined optimally. The model is used to study, analytically and quantitatively, the effects of various labor market and crime policies. For instance, a more generous unempl...

Background: This paper describes the work undertaken over many years by the author and colleagues concerning the role of opportunity in crime. The work began in the early 1970s in the Home Office Research Unit, the British government’s criminological research department. Discussions: The work supported a preventive approach – situational crime prevention – that was highly contentious in the cri...

Indonesia is a country that has population density increasing every year, with the increase in density, crime rate increasing. Criminal acts arise because they are supported by factors cause crime. To improve security and welfare of Indonesian people, authors grouped each province based on influence This study uses comparison Fuzzy C-Means Clustering (FCM) Gustafson-Kessel (FGK) methods using v...

167 Many people are afraid of falling prey to crime. The present report investigates the extent to which this fear is in line with the actual regional crime rates. This analysis is based on data from a comprehensive database on the fear of crime, combined with police crime statistics (specifically, adjusted crime statistics which factor in the “dark figure” of unreported crime). No evidence was...

Crime and Mental Wellbeing We provide empirical evidence of crime’s impact on the mental wellbeing of both victims and non-victims. We differentiate between the direct impact to victims and the indirect impact to society due to the fear of crime. The results show a decrease in mental wellbeing after violent crime victimization and that the violent crime rate has a negative impact on mental well...

Crime is a major societal problem for most of the world's nations. Consequently, the police need to develop new methods to improve their efficiency in dealing with these ever increasing crime rates. Two of the common difficulties that the police face in crime control are crime investigation and the provision of crime information to the general public to help them protect themselves. Crime contr...

BACKGROUND Area-level socioeconomic disparities have long been associated with adverse pregnancy outcomes. Crime is an important element of the neighborhood environment inadequately investigated in the reproductive and public health literature. When crime has been used in research, it has been variably defined, resulting in non-comparable associations across studies. METHODS Using geocoded li...

A crime is an act which is against the laws of a country or region. The technique which is used to find areas on a map which have high crime intensity is known as crime hotspot prediction. The technique uses the crime data which includes the area with crime rate and predict the future location with high crime intensity. The motivation of crime hotspot prediction is to raise people’s awareness r...