This study examined the role of memory for crime details in detecting concealed information using the electrodermal measure, Symptom Validity Test, and Number Guessing Test. Participants were randomly assigned to three groups: guilty, who committed a mock theft; informed-innocents, who were exposed to crime-relevant items; and uninformed-innocents, who had no crime-relevant information. Partici...

The Guilty Actions Test (GAT) is a valid and scientifically sound technique of forensic psychophysiology that allows for the detection of concealed memories. However, its application has been challenged because the results might be affected by the culprit's forgetting of crime details as well as the leakage of information to innocents. In the current study, these aspects were examined by varyin...

Fraud detection and analysis has traditionally involved a silo approach. Rarely does an investigator look across product lines to identify fraudulent connections. However, with the introduction of social network analysis (SNA), investigators are now able to detect data patterns within and across product lines as a potential crime ring or group is developing, saving companies from losses as the ...

Law Enforcement agencies in the UK have utilised Automatic Number Plate Recognition (ANPR) technology for several decades with a number of high profile crime detection successes. In an effort to ensure that end users are provided with the very best investigative opportunities, data accuracy and system performance must be constantly reviewed. This primary research has been conducted with the aim...

How sleep impacts the accuracy of identifications that eyewitnesses make from lineups is unknown. For a comprehensive understanding of eyewitness performance, two types of eyewitness ID accuracy are considered: discriminability (the ability to distinguish innocent from guilty suspects) and reliability (the probability that the identified suspect was the offender). The well-known role sleep play...

Many crimes can happen every day in a major city, and figuring out which ones are committed by the same individual or group is an important and difficult data mining challenge. To do this, we propose a pattern detection algorithm called Series Finder, that grows a pattern of discovered crimes from within a database, starting from a “seed” of a few crimes. Series Finder incorporates both the com...

Crime detection is the vital and emerging research field in the real world environment which aims to prevent the number of crimes happening in the world. The nature of crime differs in different places based on location, age, religion, habitual characteristics and so on. Mitigating the serial crimes which are identical to each other is the most important scenario to be concerned in the real wor...

Plagiarism is an act of stealing or reflecting others ideas or thoughts without the permission of authority or not mentioning that the ideas are the reflection of the authority. Plagiarism of others paper works is a crime, has been caught by plenty of intelligently coded plagiarism detection systems. The reason for this is lack of awareness about plagiarism. Some people are aware about plagiari...

To explore why system contact often has no crime-preventative effect, the current study examined effects of juvenile justice on Situational Action Theory's (SAT) causes crime, including personal morals, deviant peer associations, and detection risk perceptions. The analysis is based a sample English (Peterborough Adolescent Young Adult Development Study) German (Crime in modern City study) juve...

The increasing necessity of image retrieval based on content given technique can be used in a number of domains like Data Mining, Academics, Medical, Crime Prevention, Weather forecasting, Remote sensing and Management of Resources. This paper presents the content based image retrieval , using an edge detection called as canny edge detection algorithm in which the image can be viewed as binary ...