Women and girls have been subjected to a great deal of violence harassment in public locations around the country, ranging from stalking abuse assault. This research paper examines role social media improving women's safety Indian cities, with focus on use websites apps such as Twitter, Facebook, Instagram. also looks at how ordinary Indians can develop sense responsibility society so that we p...

Crimes are a social nuisance and cost our society dearly in several ways. Crime investigation has very significant role of police system in any country. Developing a good crime analysis tool to identify crime patterns quickly and efficiently for future crime pattern detection is required. This paper presents combine approach of clustering, outlier detection and providing the rule engine to iden...

Despite the P300-concealed information test's validity in detecting concealed memory when it is conducted immediately after the mock crime, whether the P300-CIT's detection efficiency is moderated by time delay remains unknown. Here, we conducted a mock crime study in which guilty participants were tested immediately after the mock crime or 1 month later. An innocent group was also tested. Assu...

We developed Cyber Forensics Ontology for the criminal investigation in cyber space. Cyber crime is classified into cyber terror and general cyber crime, and those two classes are connected with each other. The investigation of cyber terror requires high technology, system environment and experts, and general cyber crime is connected with general crime by evidence from digital data and cyber sp...

Crime prediction is a topic of significant research across the fields of criminology, data mining, city planning, law enforcement, and political science. Crime patterns exist on a spatial level; these patterns can be grouped geographically by physical location, and analyzed contextually based on the region in which crime occurs. This paper proposes a mechanism to parameterize street-level crime...

This paper proposes a STT(spatio-temporal-textual) search engine for extracting, indexing, querying and visualizing crime information. Until recently, it’s a labor-intensive work to identify crime entities, cluster similar suspect activities, and discover patterns from massive online collections. It’s a big challenge to reveal inherent ST(spatio-temporal) correlations among mass crime informati...

Data mining and machine learning have become a vital part of crime detection and prevention. In this research, we use WEKA, an open source data mining software, to conduct a comparative study between the violent crime patterns from the Communities and Crime Unnormalized Dataset provided by the University of California-Irvine repository and actual crime statistical data for the state of Mississi...

The Home Office Police Research Group (PRG) was formed in 1992 to increase the influence of research and development in police policy and practice. The objectives are to sponsor and undertake research and development to improve and strengthen the police service and to identify and disseminate good policing practice. The Crime Detection and Prevention Series follows on from the Crime Prevention ...