Baggili, Ibrahim M. Ph.D. Purdue University, August 2009. Effects of anonymity, selfreported pre-employment integrity and self-reported antisocial behavior on self-reported cyber crime engagement: An exploratory study. Major Professor: Marcus Rogers. A key issue facing today’s society is the increase in cyber crimes. Cyber crimes pose threats to nations, organizations and individuals across the...

Crime prevention is one of the major challenges of modern society which can be addressed by IS. Yet, research in the direction of design principles, perception and implications of crime prevention IS is limited. In this paper we design and evaluate a system to support individuals in increasing their safety. We build upon concepts shown to be effective for crime prevention from several literatur...

The detection and prevention of crime, in the past few decades, required several years of research and analysis. However, today, thanks to smart systems based on data mining techniques, it is possible to detect and prevent crime in a considerably less time. Classification and clustering-based smart techniques can classify and cluster the crime-related samples. The most important factor in the c...

Image recognition using partial information is one of the significant problems in current computer vision research. Computer vision has an important role in medical, robotics, economics, and crime-related subjects. Complete fingerprint or face is usually not available at a crime scene or camera image. The full image or partial image of crime is common in most of the crime data. The crime branch...

BACKGROUND Numerous studies have found that areas with higher alcohol establishment density are more likely to have higher violent crime rates, but many of these studies did not assess the differential effects of type of establishments or the effects on multiple categories of crime. In this study, we assess whether alcohol establishment density is associated with 4 categories of violent crime a...