Reports Of Theft Research Articles

A STUDY OF COVID-19 EFFECTS ON THE IDENTITY THEFT LANDSCAPE

This research studies the impact of COVID-19 on the identity theft landscape using historical data published by the Federal Trade Commission. The data set included information about the number of identity theft reports for each state per year over a 6-year period, 2017 -2022. The dataset also included the number of reports for each identity theft category, providing a holistic view of the identity theft landscape. The data showed a significant increase in the number of identity thefts across all the states in 2020 compared to 2019; the percentage increase ranged from 45% to 1,801.1%. This coincided with the pandemic, which started in December 2019. The top 5 states that had the highest percent increase in 2020 are Kansas, Rhode Island, Maine, Washington, and Illinois. Moreover, in the year 2020, there was a dramatic increase across all the states in the number of identity theft reports related to government documents or benefits fraud, ranging from 207.7% to 33,236% increase compared to the year 2019. This was due to the sudden increase in available funds to help Americans during the pandemic, including unemployment benefits, stimulus checks, small business loans, etc., along with the expedited process to distribute the funds, which created ideal conditions for cybercriminals, especially identity thieves.

Kebijakan Hukum Tindak Pidana Pencurian Sepeda Motor Dengan Tindak Kekerasan

According to data collected by Bandar Lampung Police, between the beginning of the year and the end of 2022, officers handled 2,898 incidents, including 502 reports of motor vehicle theft, 247 reports of theft with aggravation, and 78 reports of theft with violence. The purpose of this article is to describe the legal policy of violent motorcycle theft. This research is a normative legal research, in this research the elements of the crime of theft with violence as formulated in Article 365 of the Criminal Code are studied. The results showed that a person who commits the crime of motorcycle theft with violence can be caught under Article 356 of the Criminal Code. In this case, the factors that cause a person to commit a violent motorcycle theft are economic factors, social environment, opportunity, and less than optimal law enforcement.

Enhancing recovery rates for stolen vehicles: A solvability factors method

AbstractThis study examines the police activities most associated with the recovery of stolen vehicles in Manchester, UK. The dataset consists of 6,104 reports of theft of motor vehicles whereby a random sample of 250 cases of stolen vehicles later recovered and 250 cases of stolen vehicles in which no recovery occurred were taken from 1 January 2018 to 31 December 2018. Twenty independent variables were selected using the findings from existing solvability literature, and additional variables were discovered from legacy data provided by the Greater Manchester Police recording systems. A case–control study was developed based on exploratory identification of police activities commonly used in cases of recovered vehicles. The findings indicate that motor vehicles were typically found by police during an investigation or through non-related proactive activities. Furthermore, vehicles were recovered by the victims themselves or by a member of the public reporting the vehicle to the police.

El robo de autos en Reynosa: análisis espacial desde la teoría de las actividades rutinarias y del patrón del crimen

This article analyzes the spatial behavior of social and economic factors associated with car theft in Reynosa, Tamaulipas, Mexico. For this, the data of car theft reports issued (from January 2016 to December 2018) before the Attorney General’s Office of the state of Tamaulipas were analyzed. The information on the social and economic variables was obtained from the Census of Population and Housing 2020 at the level of basic geostatistical area and the National Statistical Directory of Economic Units. The methodology consisted of a negative binomial regression, a simple regression, and a geographically weighted regression, both Poisson types to incorporate the non-stationarity spatial component. The results indicate that restaurants and banks are crime-attracting nodes and that the variables of routine activities present heterogeneous spatial patterns depending on the area of the city where they are present.

Do data breach notification laws reduce medical identity theft? Evidence from consumer complaints data

AbstractAs the number of data breaches in the United States grows each year, cybersecurity has become an increasingly important policy area. The primary mechanism for regulating and deterring data breaches is the “data breach notification law.” Every US state now has such a law that mandates that certain organizations disclose data breaches to their data subjects. Despite the popularity of these laws, there is relatively little evidence about their effectiveness at deterring breaches, and therefore reducing identity theft. Using medical identity theft panel data collected from the Consumer Financial Protection Bureau, this study implements an augmented synthetic control approach to analyze the effect of California's 2016 data breach notification standards on medical identity theft. This approach suggests that medical identity theft reports in California were reduced by 3.5 reports/100,000 people.

Proposed Strategy for the Development of a Local Geopark at Mui Ne Red Sand Dunes, Phan Thiet, Vietnam - based on Tourist Perceptions and Experience from Taiwan

Vietnam attracts many tourists owing to its unique and diverse geological landscapes. The Vietnam tourism development strategy until 2030 sets a target to make tourism a more sustainable economic sector, in which the advantages of natural resources and development of a variety of tourism products are promoted. Binh Thuan province in central-south Vietnam, hosts many high potential geosites including Mui Ne Red Dunes. Although this is a popular tourist destination, there is no clear tourism strategy for this site and local communities now regulate tourism in an unsustainable way. Online comments from review databases (TripAdvisor and Google reviews) are analysed to find themes in tourism perceptions after a visit to the Red Sand Dunes. Main themes are found that negatively affect tourist perceptions, such as the extended pollution of the dunes, theft reports and disturbance by jeeps, ATV’s and motorbikes. Many tourists recommend that this site should be better managed. To conserve this area in the future, the development of an all-inclusive local geopark is suggested, based on the tourism perceptions and previous studies assessing this landscape. This strategy is adapted from the UNESCO geopark framework and an example of a recently established local sand dune geopark in Taiwan is discussed. Implementing a local geopark, following the steps described in this study, can be beneficial for sustainable development and local communities in this area, while also promoting environmental education and enhancing disaster risk reduction.

Desimination of technology for increasing the security of community-based citizens of Gawanan village, Colomadu using i-siskamling

The residents of Gawanan Village, RT 02 and 04 RW 12 Colomadu, Karanganyar have almost the same characteristics: most of the residents work during the day and they are migrants. It gives security problems during the day, especially in an empty house and a long holiday. The vast area and the number of access roads, as well as proximity to the center of the crowd such as malls, factories, and warehouses, cause very inefficient when using security services during the day. Therefore, i-Siskamling which IP Camera Outdoor using internet access can be one solution to overcome these security problems. IP cameras are installed in strategic places. As a result, nine CCTV cameras with two controls (NVR) were installed with monitors at the two Partner locations. The results are very encouraging as seen from the absence of reports of theft in the two regions and the monitoring of several disturbing events in the community. In addition, community support was very evident with providing the electricity for the camera and access points and two additional CCTV cameras and accessories for the system.

Credit Card Fraud Detection System

Credit card fraud is a serious criminal offense. It costs individuals and financial institutions billions of dollars annually. According to the reports of the Federal Trade Commission (FTC), a consumer protection agency, the number of theft reports doubled in the last two years. It makes the detection and prevention of fraudulent activities critically important to financial institutions. Machine learning algorithms provide a proactive mechanism to prevent credit card fraud with acceptable accuracy. In this paper Machine Learning algorithms such as Logistic Regression, Naïve Bayes, Random Forest, K- Nearest Neighbor, Gradient Boosting, Support Vector Machine, and Neural Network algorithms are implemented for detection of fraudulent transactions. A comparative analysis of these algorithms is performed to identify an optimal solution.

Identity theft reports of adolescents

Purpose The purpose of this paper was to explore the identity theft victimization experiences of high school students, as well as the predictors of it being reported to school counselors. Design/methodology/approach In July and August 2014, an online survey was sent to every registered member of the American School Counselor’s Association (ASCA). School counselors were questioned about their experiences in regarding online victimization of their students. Findings Results of this analysis revealed extremely interesting predictors of school counselor demographics related to the number of reports filed by students. Research limitations/implications There was a small response rate because the survey was sent to all registered members of the ASCA, instead of a specific targeted group (which would have been more appropriate). Practical implications The results indicate a need for further resources and training dedicated to school counselors to manage identity theft victimization of students. Originality/value As far as the authors are aware, no other study of this kind has previously been performed. In addition, there is little known about identity theft victimization of adolescents.

Discrepancies in Data

The ability of investigative agencies like Interpol and the Federal Bureau of Investigation (FBI) to effectively recover stolen works of art depends in part on how comprehensive and complete their databases of stolen works are. The scope of these databases and their effectiveness in recovering artwork depends on how many reports of theft are submitted by museums to the investigative agencies. This paper considers how a lack of funding leads to discrepancies in and between museum collection records and databases maintained by investigative agencies, resulting in negative publicity and affect a museum's public image. Ultimately this paper presents some strategies to mitigate these discrepancies and help deter future museum theft by streamlining the investigation process for agencies like Interpol and the FBI.

RxPATROL: A Web-based tool for combating pharmacy theft

ObjectiveTo report the incidence of pharmacy-related burglaries and robberies and characteristics of pharmacies where such crimes have occurred using recent data from Rx Pattern Analysis Tracking Robberies & Other Losses (RxPATROL), a national Web-based information clearinghouse on pharmacy-related theft of prescription medications and over-the-counter products. DesignDescriptive, nonexperimental study. SettingUnited States between 2005 and 2006. ParticipantsNot applicable. InterventionsNot applicable. Main outcome measuresNumber of pharmacy theft reports received; incident type, date, and location; point of entry; and pharmacy security features. ResultsBetween 2005 and 2006, 202 pharmacy burglary and 299 pharmacy robbery reports from 45 different states were filed with RxPATROL. More than 70% of pharmacies reporting such crimes lacked a security camera. Among those reporting a burglary, 60% lacked dead bolt locks, a solid exterior door, a motion detector device, or a safe or vault for storage of controlled substances. Burglars most often obtained access to the pharmacy via the front door. ConclusionRxPATROL is a Web-based tool that can assist pharmacies and law enforcement in collaborating more effectively to combat and prevent pharmacy-related crimes.

Electronic Freight Theft Management System for Florida

An electronic freight theft management system has recently been developed by the Center for Advanced Transportation Systems Simulation. The system was designed to be a comprehensive online application for the reporting, documentation, and warehousing of information on intermodal freight theft and related occurrences. A hierarchical database structure is the foundation for data capture, storage, and retrieval. System deployment is intended to benefit conglomerate corporations, independent sole proprietor commercial vehicle operators, and law enforcement agencies. The online system can be used to assist law enforcement in prioritizing theft investigations or recovery operations by the significance level of the stolen cargo. If deployed nationally, it would offer criminal investigation officers a universal freight theft data system with interjurisdictional application and versatility to assist in cross-reference of available data through any available Internet connection and web browser. The system has been structured to allow application of data mining techniques to the database. The system has simplicity and scalability without loss of performance and has built-in alerts to identify stolen commodities that pose a possible threat to national homeland security. A system for Florida law enforcement has been designed and deployed. The new web-based system replaced the previous paper-based system that used a fax machine to distribute theft reports. The new system distributes reports and bulletins electronically via automated e-mails. This enhancement is projected to reduce response time significantly, provide greater accessibility to available data for officers, and increase the ability to provide more accurate theft recovery information.

Maltreatment of patients in nursing homes: there is no safe place

* Preface * PART I: NURSING HOMES AND THEORIES OF ABUSE * Chapter 1. The Nature of Nursing Homes * Myths and Facts About Nursing Homes * How Nursing Homes Got Started * Nursing Homes As Bureaucracies * Nursing Homes As Total Institutions * Barriers to Nursing Home Abuse Research * Chapter 2. Nursing Aides: The Backbone of Care in Nursing Homes * Workforce Issues and Problems of Nursing Home Aides * Narratives of Nursing Home Aides * Chapter 3. Understanding Abuse * Why Nursing Homes May Be Good for Abusers * Nursing Homes and the Motivated Offender * Patients and Their Possessions As Suitable Targets * Guardianship in Nursing Homes * Countervailing Forces * Summary * PART II: NURSING HOME THEFT * Chapter 4. Employees and Theft * Results from the Survey of Employees * Conclusions About Employees * Chapter 5. The Victims and Their Families * Family Members' Reports of Theft * What Is Stolen? * Conclusion * Chapter 6. Preventing and Reducing Theft * Theft Precautions for Patients * Theft Precautions for Nursing Homes * Reporting of Theft * Theft Prevention Training Programs * PART III: PHYSICAL AND MENTAL MALTREATMENT * Chapter 7. Physical Abuse and Neglect * Abandonment, Segregation, and Neglect * Government Reform Committee * Types of Physical Abuse * Sexual Abuse * Neglect * Chapter 8. Psychological Abuse and Neglect * Types of Psychological Abuse * Some Effects of Psychological Abuse * Neglect * Chapter 9. Reducing the Risk of Physical and Psychological Abuse * Screening Practices * Staff Education and Training * Advocacy * PART IV: FRAUD, REFORM, AND RECOMMENDATIONS * Chapter 10. Exploitation of Nursing Home Patients: Their Finances and Rights * Financial Abuse * Reform of Nursing Home Regulations * Chapter 11. Summary and Conclusions * Appendix. Methodology * Data Collection * Employee Questionnaires * Measuring Theft * Response Rates from the Survey of Employees * Victimization Survey * Family Members' Questionnaire * Glossary * References * Index