Theft Prevention Research Articles

Online Electrical Energy Theft Detection and Prevention Scheme for Direct Hook-line Activity

Online Electrical Energy Theft Detection and Prevention Scheme for Direct Hook-line Activity

Perspectives on Stock Theft Prevention in the Selected Provinces of South Africa: Failures and Successes

Residents of Limpopo (LIM) and KwaZulu-Natal (KZN) Province are witnessing higher rates of stock theft, with the inhabitants of the selected communities living in fear for the prevention of this scourge. This study explores the extent of this crime in the selected areas of LIM and KZN, considering contributory factors, determining the relationship between the South African Police Service Stock Theft Units (SAPS STUs) and other relevant stakeholders, as well as looking at existing strategies (And their failures and successes) in responding to this crime effectively. A qualitative research approach coupled with Non-probability: Purposive sampling was used in this study. The targeted population consisted of 113 participants. For data collections, Focus Group Discussions (FGDs), Key Informant Interviews (KIIs), and Observation Schedules were adopted. lack of appropriate preventative measures has led to rise of stock theft, it was, therefore, discovered that both the affected livestock farmers and members of the community lost confidence toward the police, Besides, the perspectives on stock theft prevention in LIM and KZN reflect a greater challenge, with inadequate solutions present, since the current preventative measures are ineffective. Thus, understanding stock theft phenomenon is critical to its prevention as the sector of livestock in South Africa is the contributory key to the value of the agricultural economy.

Lora Based End to End Tracking System Overcoming Signal Transmission Error

Asset tracking is a method of tracking physical objects that involves scanning barcode labels attached to the assets or using tags that transmit their location using GPS, BLE, or RFID. These technologies can also be used to track people who are wearing a tag inside a house. RFID tags that are 'passive' transmit their location, but their transmission range is small (typically a few meters). Manual barcode scanning, such as QR codes, may be used to monitor assets. Smartphones with cameras and dedicated applications, as well as barcode readers, can be used to scan QR codes. Even though Bluetooth wasn't designed for localization, it has been used and can provide more accuracy. But all these have certain limitations with itself. In this project, a system had been developed for theft prevention and recovery of lost assets in an easier and faster way. The user of this system can be able to track the location of the asset once it has been moved in a long distance or stolen. This project utilizes long distance RF communication modules such as LoRa modules which provide long distance communication in terms of kilometres. The hardware component includes micro-controller, GPS, LoRa modules, etc. The LoRa modules can be distributed across the city for tracking of the asset. As the asset moves around the city, the location of that asset is been transmitted to a nearby LoRa which is then transmitted to the mobile app developed independently for tracking the asset. By this the user can have a track of their valuable asset. Thus, this project will help us in tracking the lost asset in an easy and effective manner.

Особенности предупреждения органами внутренних дел посягательств на транспортные средства на современном этапе

The article deals with current trends in the prevention of theft and theft of vehicles by employees of internal Affairs agencies. Based on the study of the practical activities of the police in this area, as well as the study of the regulatory framework, the author identifies a number of problems in the prevention of attacks on transport. As a result, ways to solve existing problems and improve the prevention of theft and theft of vehicles are proposed.

REGISTRUOTO TURTINIO NUSIKALSTAMUMO KLAIPĖDOS MIESTE DINAMIKA 1990–2015 m.

This paper analyzes the changes of the property crime (theft) dynamics and location in Klaipeda city during 1990–2015 years assessing the expression of this phenomenon in the context of changing society. Using theories of the Chicago School of sociology (R. Park and E. Burgess C. Show, H. M. McKay) and the critical insights of its interpretations (E. Sutherland L. Cohen, M. Fels et al.) that allow to us to understand the phenomenon of crime not only in the wide geographic space, but also in the localized environment. The authors present an analysis of territorial clusters (neighborhoods) where phenomenon of theft in Klaipėda is the most located. Assessing geographical, social, economic development of the city regions the authors disclosed the “hottest” points of city in which were recorded this offense. Assessing the considering the geographical, social, economic development of city regions were disclosed the “hottest” city points, where are recorded this offense. Dynamics of this process analyzes in the frame of selected four (1990–1994; 1995–1999; 2000–2004; 2005–2009) periods. The authors, based on forecasts of Lithuanian criminologists about crime trends in Lithuania until 2015, presents their own scientific insights and assessments, which may be useful in developing strategies for the prevention of theft in Klaipėda.

ENGINE AUTOSTART SYSTEM

To improve the comfort of using the car, it became necessary to develop an engine autostart system. This system will integrate it into the car's anti-theft system and improve the use of the car regardless of weather conditions. The introduction of such a system will make it possible to increase the range of messages about alarms and the state of the alarm, the small value of which in old models due to the growth of abductions, the lack of close parking places has absolutely ceased to satisfy the driver. The analysis of the existing engine autostart systems is carried out, in which the main problem is highlighted, namely, the impossibility of pro-lime engine autostart at a long distance. As a result of the analysis, the goal of the study was highlighted: the expansion of the functional and consumer capabilities of the auto-alarm system. The developed remote start system is designed for sound and optical notification of violation of the protected vehicle zones, prevention of theft and robbery, remote execution of service functions. The result of the research is: the development of a working model and software, as well as experimental research. The originality lies in the fact that the constructed circuit allows monitoring and control of the autostart functions of the car engine from almost any distance (limited by the GSM reception area).

Preventing Identity Theft: Perspectives on Technological Solutions from Industry Insiders

ABSTRACT An estimated 26 million American citizens per year have been victims of an identity-based crime. This study contributes to the scholarship on financial crimes facilitated through identity-based criminal activity by examining the views on technological approaches to the prevention of identity theft among 50 professionals working in the identity-based crime victim services, including those from the public sector and private industry. The professionally diverse sample included private investigators, fraud examiners, victim service providers, and executives of firms offering victim services and protection services. Data were collected during a series of focus groups held at professional conferences. The paper reports on the views held by focus group participants on specific technological solutions to identity theft victimization, including biometric scanning, dark web scanning, subscription -based monitoring programs, and broader thematic observations about the current environment for protecting information, emerging sources of risk, and policy recommendations identified by focus group participants. Perspectives from insiders about the pros and cons of each approach can provide researchers and enforcement agencies with enhanced capacity to avoid empty technological promises that fail to protect victims from subsequent victimizations.

WITHDRAWN: Design and development of multi controlled smart bike

In the Morden world the bikes are the most commonly used vehicle for the transportation. But the actual fact is there is no safety precautions in the bike. This shows the bike riding is not safety for the users like accident prevention and theft prevention. The accident prevention makes loss of conscious and sometimes it leads to death. Sometimes the rider forgets to wear the helmet, which is unsafety while traveling. Sometimes the parked bikes are missed from the place or sometimes the fuel was theft. There is no safety for the fuel level in the bikes. When there is a heavy rain the side stand of the bike will goes inside and the bike felt down which makes the damage to the bike and the leaking of the fuel. At the traffic the movement of the bike is very low that makes some crash between the bike. Some people are forgetting to turn of the head light which leads to the loss of vision for the others. During summer the atmospheric heat is very high at that time the petrol which is easily evaporated is stored as the vapour in the tank and at some pressure it makes a blast of the petrol tank, which is highly dangerous to the bike riders. This make bike travelling is very dangerous to us. This project had done with the some of the safety methods like Bike and fuel theft control, forward distance measurement for the prevention of the accident, speed control alert system, and the smart helmet for the user safety. This makes the bike riding is safety for the riders and prevent the theft which makes the bike as smart bike.

An AI-driven automotive smart black box for accident and theft prevention

An AI-driven automotive smart black box for accident and theft prevention

ОБСЛУГОВУВАННЯ ЕКОНОМІК КРАЇН ЕЛЕКТРОННИМИ ПЛАТІЖНИМИ СИСТЕМАМИ

The environmental and health care challenges pose new requirements for the level of technological equipment responsible for uninterrupted financial flows. The research is based on the following indicators: gross domestic product; e-commerce revenue; the share of banks’ participation in e-commerce; the level of cash usage in developed and developing countries; online and offline payments in European countries. The following statistical sources were used: the IMF, Statista, McKinsey, Adobe Analytics, Blue Yonder, Oliver Wyman, BIS, etc. We detected that the European countries became one of the first to experience significant economic damage from Covid 19. Also, authors defined the key areas to overcome the crisis effects. They are the developed financial infrastructure, the flexibility of employers, and the modern technological equipment of companies. Ensuring the development of the financial infrastructure is possible only under the following conditions: existing payment instruments and innovations in this segment; adequate level of cybersecurity and prevention of free theft of personal data; opportunities for access to e-commerce, which would allow consumers to uninterruptedly receive the necessary goods for life, develop logistics and create a giant company; cloud technologies have become an effective solution for workers and employers because, without them, a significant part of workers would be out of work, and this would further reduce purchasing power and deepen the crisis. Modern financial technologies are in a period of their increasing consumer demand and the need for new advanced solutions to existing payment instruments. The next few years will be decisive in shaping a new dimension in the electronic payments system.

Rediseño del prototipo de sistema programable para prevenir el robo de bicicletas en Oaxaca

The objective of this article is to present the second phase of the development of a smart alarm prototype that contributed to the prevention of bicycle theft in Oaxaca City, as a result of a redesign of a previous prototype. In this second phase of the investigation, improvements were made in the autonomy of the alarm, adding a lithium battery to supply the energy of the circuit; thus, the size of the circuit is also decreased by changing some components; on the other hand, a mobile application is developed to complement the alarm functions. In addition, a real-time database manager is added in order to have the location data of the bicycle on real time, it means, when the data are being generated. Finally, the traced of a route is added using the Google Maps application that allows the user to focus in certain zone in order to searching their bicycle. In the second phase, also it was applied the prototyping methodology as in the first phase.

Theft Prevention With Rahat as an Effort to Protect Property in Pasaman, West Sumatera, Indonesia

This article aims to explore about rahat as an effort to protect property in Pasaman, West Sumatera, Indonesia. Stealing was a criminal act which threatened the perpetrator with severe punishment, imprisonment in Indonesia or hand-amputation in Islamic law. The punishment was not only to deter and punish the perpetrator but also to educate society not to make the same mistake. However, when the national and religious laws did not function efficiently, the people in Pasaman, West Sumatera, Indonesia protected their properties with rahat, the magical fence consisting of tayyibah (noble words) which prepared by the leader of Islamic traditional boarding school (pesantren). When a thief broke the fence, he may forget his initial intention to steal, feel being locked, or even sickened in to an unrecoverable illness. Rahat and its effects were announced in public, delivered mouth to mouth, and obeyed by the community. As the result, the people were prevented from taking other people’s possessions; the treasures of society were also well preserved. The type of the study was field research with a qualitative approach. The data was gathered by observation, in-depth interviews, and documentation study. The analysis was done descriptively by data reduction, display, and verification (drawing conclusion).<br /><br />

Face Recognition System for Prevention of Car Theft with Haar Cascade and Local Binary Pattern Histogram using Raspberry Pi

In this era, the occurrence of vehicle theft has become a fairly frequent problem, especially in big cities like Jakarta and Surabaya. Although the technology for car security is very sophisticated (e.g. keyless system), but there are many cases that thieves still can break into the system. Once a car was stolen, the whereabouts of the car was unknown and the thief was on the loose. The goal of this research is to overcome this problem. As a device, this research works on Raspberry Pi 3 that connected with the Raspberry Pi Camera. Using the OpenCV library, with the Haar Cascade method for face detection, and Local Binary Pattern Histogram for face recognition. The device must be connected to the internet in order to send the information using a Telegram message. The research results show the success of the device system in face-recognizing between the car owner and car thief with optimal conditions in the morning until the afternoon with the light intensity around 660 to 1000 lux, and best recognizing distance at 50 cm. The success rate for obtaining the car’s location for the outdoor condition is 100%. Even if there is a slope or an error data, it can be tolerated because the difference was not too high, about 0.1-1.0 m.

How to ensure the safety of industrial and production enterprises using video technology

It is possible to take control of all processes at the production facility and ensure its safety only with the help of a complex of modern technologies. In the article, the author uses the case of innovative solutions of the Chinese company Hikvision to consider the complexes of technical means that ensure the prevention of theft and non-production losses, perimeter protection, as well as fire safety and compliance with labor discipline. According to the author, the intelligent video analytics system is exactly the tool that allows the security service of an industrial or production facility to become a modern service for preventing incidents and losses.

A secure vehicle theft detection framework using Blockchain and smart contract

Nowadays, vehicle theft has been increased drastically all over the world. The prevention of vehicle theft is essential to enhance vehicle security. A large number of vehicles have been stolen for the lack of essential foundation and administration of a secure platform. Several existing systems were developed to protect the vehicle from unauthorized access. But, they suffer from various limitations such as data security, the possibility of cybercriminals activities, leakage of personal information, and centralized System. We propose a vehicle theft detection framework using a decentralized and secure platform to increase the security level of the vehicle. Blockchain and smart contracts are used to provide the security of the stored data on the ledger and authenticate a genuine user automatically with greater accuracy. In this paper, we present 2-Step Authentication (2SA) and unauthorized access detection algorithms. The 2SA ensures the secure accessibility of the application by providing the randomly token chosen by the user. The proposed framework can provide vehicle security and owner’s privacy. In this proposed framework, more than one person can drive the vehicle authorizing by the vehicle owner without hampering stored data in the vehicle device.

Social Media Security: Identity Theft Prevention

Social networking sites are becoming parts and parcels of our daily life. With the increasing of its popularity, the cybercrimes, targeting these platforms are also increasing. Cybercriminals use this platform to harass the victims personally, socially and financially. Such type of crimes is performed using some of the vulnerabilities of the social networking platforms. Identity theft is one of those crimes which is increasing alarmingly. By creating a fake account, using the same information and profile picture, one can easily take disguise of another person. Hence, the criminal can chat with other persons impersonating the victim. Thus, the criminal takes the disguise of a person and starts harassing other people. The consequence of this problem is very dangerous. By doing so, the criminal ruins the image of the victim. There are so many cases where victims attempted to commit suicide after facing this type of terrible problem. All these things are occurring as the criminal can download or collect the profile picture of the victim easily and open a clone account easily. The availability of information is giving the chance to the cybercriminal to make an account exactly looks like the victim’s one. In this paper, we attempt to prevent this type of identity theft by an image based solution on the social networking platforms. The name of this model is ‘Image Based Identity Theft Prevention’.

Automatic multiple human tracking using an adaptive hybrid GMM based detection in a crowd

For a visual surveillance in a crowd, multiple human tracking is essential and of course a challenging task. Real-world applications require multiple cameras to capture crowd scenes so that a keen tracking is observed. Automatic tracking in a crowded environment is very important criteria for the surveillance. Accurate and real-time tracking in a crowd, the number of people present in the public places and shopping mall are some of the vital information for monitoring traffic violations. To provide human safety and security, surveillance like theft prevention and automated checkout provides the necessary consumer information to the managers. The conventional tracking algorithm does not handle the complex background, multi-view points, various illumination changes and severe occlusion occurring in a crowd. The above problem can be effectively handled by using the proposed Adaptive Hybrid Multiple Human Tracking (AHMHT) method. The proposed work utilizes the Adaptive Hybrid Gaussian Mixture Model (AHGMM) (Karpagavalli and Ramprasad, International Journal of Multimedia Tools and Application 76(12):14129–14149, 12) detected output, so that, the proposed algorithm tracks all the blobs in each frame on the basis of motion information along with the width and height information of exact blob. The experimental results demonstrate that the proposed method performs well compared to other methods. The multiple human tracking rates are improved with maximum of 91% using the proposed frame work compared with other methods. The proposed method is efficient in terms of computational time (CT) using an adaptive hybrid tracking.

ANIMAL HEALTH MONITORING WITH MISSING AND THEFT PREVENTION DEVICE USING WIRELESS SENSOR NETWORK AND INTERNET OF THINGS

A device to know the health status of all the animals in a farm along with its missing and theft prevention is proposed in this article. The necessary sensors to sense the health information of animals and the short range wireless communication technology and internet to communicate with the owner of the farm, are planned to use in the devices. This system will be very helpful to diagnose the health condition of all the animals simultaneously and to improve it. The system can prevent the animals from missing or theft. A mobile application which acts as a user interface provides the owner with useful information such as animal’s body temperature, heart rate, rumination and their presence inside the farm. The prototype of this idea is developed and is included for testing. Since the animal health status can be monitored from anywhere in world using a mobile application, the device will ease the work of farm owner and the laborers.

Motor Vehicle Security using Microcontroller, GPS and Android as Innovation to Prevent Motor Thieves

Nowadays, transportation plays a big part in our daily lives. Everyday, people in Indonesia are increasingly using vehicles especially motorcycles. Unfortunately, along with the increasing number of motorcycle users, motorcycle theft has also increased. In this paper, we propose the prevention of theft and recovery of motorcycles by using sensors and microcontrollers connected to smartphones. In case of theft, the sensor will be activated automatically and the user will be notified by this system via an alarm warning. Users not only can see the location of the motorcycle at this time but also can turn off the engine through a smartphone even though the distance is long as there is an internet network. The results showed that the system can turn on/off motorcycle engines automatically using an Android Smartphone. The vibration sensor could activate the alarm and send a notification to the owner of a motorcycle. The motorcycle can be monitored by GPS devices that have been embedded on a motorcycle.

The utilization of Safe Parking Application (SPR) for motorcycle security using Global Positioning System (GPS) in Indonesia

This study aims to create a Safe Parking Application (SPR) using Rapid Application Development (RAD) and Global Positioning System (GPS) which will control and secure motorcycles. Vehicle theft cases increase from year to year in Indonesia’s big cities. This application will be a solution to vehicle theft prevention in Indonesia’s big cities. It will alert the owner when the motorcycle is moved from its parking position. The owner will receive some detail information about the motorcycle movement i.e. the vehicle location, the history, and the live GPS. In conclusion, the utilization of SPR is a solution to prevent the increase of motorcycle theft in Indonesia’s big cities. This application uses a low-cost device as a substitute for an alarm or transmitter.