Phone Number Research Articles

Overview of big data information privacy protection technology and challenges

With the rapid development of advanced technologies like the mobile internet, cloud computing, and the Internet of Things, the era of big data is gradually upon us. In this era, big data has been widely utilized in various fields like business, finance, social networking, and healthcare, and the value of data has become increasingly prominent. Data has become a new factor of production, the digital economy has become a new engine of development, and an important driving force for promoting social progress and economic development. However, with the advancement of big data technology, the risks of data leakage and misuse have increased. Personal data information leakage or misuse can lead to personal privacy infringement and fraud, such as the Sina Weibo data leak in March 2020 where attackers breached part of the Sina Weibo database, obtaining sensitive data including real names, website usernames, genders, locations, and phone numbers, impacting 538 million Weibo users. Therefore, there is an increasing demand for data information privacy protection. This paper will explore the core technologies and application scenarios in data information privacy protection and investigate data privacy protection in real-life settings.

Implementation Of Fuzzy Logic to Identify Accident Categories In SMS-Based Two-Wheeled Vehicles

Two-wheeled vehicle is the most popular means of transportation in Indonesia. As a result, it would cause several issues. One of them is an increased possibility of an accident to happen. In the event of an accident, quick aid from the public to the victim can reduce the risk of severe injury suffered by him. The person who provides aid to the injured victim may ask for money from the victim's family whose amount is not proportionate with the severity of the accident. In light of this, a system has been devised to identify and categorize the different types of accidents and send the formation to a family phone number registered electronically. The accident level is categorized using the Sugeno-type fuzzy logic method. The parameters used to differentiate the accident categories are speed, slope, and duration of vehicle braking time. The information is then sent to the registered phone via SMS that contains the accident category and the coordinates of the accident location provided by the GPS Neo 6 module. The algorithm is based on the vehicle's tilt angles, which range from 45(to the right) and -45(to the left). The fuzzy logic then determines the category, which processes and produces the accident category based on the speed and vehicle braking duration parameters. The proposed algorithm in this research will be experimented with using a real motorbike. Based on the experimental results, it has been found that the performance of the fuzzy logic method has an accuracy of 88.89% when determining the category of accident (light or heavy) and the time taken to send the information to the family member via SMS is quite fast.

Implementing a web-based information system to manage children's vaccinations in health units and centers in Nineveh

Issues related to children's vaccinations are considered important and vital topics in society, as there is still a large percentage of parents who neglect to give the appropriate vaccine for the child's age at the specified time exposing their children to diseases and risks that could have been avoided. Therefore, the aim of the research is to implement an information system for managing children's vaccinations, as it works to install all information related to the child and the vaccines that must be given on the specified dates, store his information and share his records, as the system works to send alert messages to parents a week before the appointment, in addition to that the system tracks the quantity Vaccines received at health centers. The research found results, the most important of which is the ability to send alert messages to parents a week before the scheduled date for the vaccine, and the ease of counting the number of children who did not receive the vaccine. The research suggests adding SMS messages to be sent as a reminder to parents via their phone number and disseminating this system in all units and health centers by providing a user interface for managing each of these generalized systems.

Implementasi Efektivitas Layanan Whatsapp Web Pada Pembayaran Pajak Kendaraan Bermotor Studi Kasus Di Kota Batam

To increase PKB and SWDKLLJ and to increase public compliance in paying taxes, an innovation is needed to remind the public not to be in arrears in paying motor vehicle taxes. A reminder application is needed that is integrated with the WhatsApp Blast API which will then send notifications of tax due dates or other SAMSAT information based on the mobile phone number that was registered when purchasing the first motor vehicle. This research method uses Scrum to collect and analyze the effectiveness of the application when implemented in the community, with this application it can be utilized optimally so that it can minimize arrears and increase community compliance in paying taxes.

Factors associated with COVID-19 vaccine receipt among mobile phone users in Malawi: Findings from a national mobile-based syndromic surveillance survey, July 2021-April 2022.

Malawi recommended COVID-19 vaccines for adults aged ≥18 years in March 2021. We assessed factors associated with receiving COVID-19 vaccines in Malawi as part of a telephone-based syndromic surveillance survey. We conducted telephone-based syndromic surveillance surveys with questions on COVID-19 vaccine receipt among adults (≥18 years old) upon verbal consent from July 2021 to April 2022. We used random digit dialing to select mobile phone numbers and employed electronic data collection forms on secure tablets. Survey questions included whether the respondent had received at least one dose of a COVID-19 vaccine. We used multivariable analysis to identify factors associated with COVID-19 vaccine receipt. Of the 51,577 participants enrolled; 65.7% were male. Males were less likely to receive the COVID-19 vaccine than females (AOR 0.83, 95% CI 0.80-0.86). Compared to those aged 18-24 years, older age had increased odds of vaccine receipt: 25-34 years (AOR 1.32, 95% CI 1.24-1.40), 35-44 years (AOR 2.00, 95% CI 1.88-2.13), 45-54 years (AOR 3.02, 95% CI 2.82-3.24), 55-64 years (AOR 3.24, 95% CI 2.93-3.57) and 65 years+ (AOR 3.98, 95% CI 3.52-4.49). Respondents without formal education were less likely to receive vaccination compared to those with primary (AOR 1.30, 95% CI 1.14-1.48), secondary (AOR 1.76, 95% CI 1.55-2.01), and tertiary (AOR 3.37, 95% CI 2.95-3.86) education. Respondents who thought COVID-19 vaccines were unsafe were less likely to receive vaccination than those who thought it was very safe (AOR 0.26, 95% CI 0.25-0.28). Residents of the Central and Southern regions had reduced odds of vaccine receipt compared to those in the North (AORs 0.79, (95% CI 0.74-0.84) and 0.55, (95% CI 0.52-0.58) respectively). Radio (72.6%), health facilities (52.1%), and social media (16.0%) were the more common self-reported sources of COVID-19 vaccine information. COVID-19 vaccine receipt is associated with gender, age, education, and residence. It is important to consider these factors when implementing COVID-19 vaccination programs.

Cellular Phone Number Tracking System Based on ArcGIS and Google Maps

Over 4 billion individuals are projected to own a mobile device, with smartphone use continuing to rise around the world. Associated with this trend is the collection and usage of location information provided by these devices. The procedure for tracking and evaluating a mobile phone number is crucial for crime and terrorist attacks preventing concerns, especially in countries with deteriorated security conditions. The locational tracking information can enable real-time operational awareness and can save people's lives. In this aspect, the Geographic Information System (GIS) system is frequently used to provide intensive spatial information along the tracking process. This research aims to examine, follow up on, and trace a certain person's phone number inside a certain area using a combination of ArcGIS and Google Maps application software they are programs used to track and determine locations through the use of various types of coordinates, including latitude and longitude. In the ArcGIS program, there are several methods and algorithms used in various fields, including (locating people, determining tourist places, determining water and sewage networks, forecasting in the event of storms or floods, and many other areas), an example of these methods in the program is (Kriging method, Idw method, Spline method) and many other methods, each method is used for a specific purpose and field. In this research, the kriging method was used, which is a design algorithm that is used in many analysis and tracking processes and gives clear and accurate results. The process of determining locations in the maps used in the search depends on taking the longitude and latitude coordinates and downloading them to those maps. The maps that have been worked on in the research provide a set of basic concepts adopted in the process of tracking a particular person’s phone number, such as (the person’s location, the numbers connected to him, and the duration of a call to numbers in his contact list). The tracking system used is tested by creating a virtual contact list for a specific person’s phone number and making use of all the data in the contact list and applying it in the ArcGIS program, knowing that the duration of the contact list used is 9 months (from January to October 2021). The obtained results are analyzed and sorted in different ways to provide a wide model of the locational communication and movement activity of the tracked person. They showed that the system is efficient and can be applied to enhance the security in Iraq for tracking suspected people in crimes like terrorism, kidnapping, drugs, extortion … etc.

Evaluating and improving the usability of a mHealth platform to assess postoperative dental pain.

The use of interactive mobile health (mHealth) applications to monitor patient-reported postoperative pain outcomes is an emerging area in dentistry that requires further exploration. This study aimed to evaluate and improve the usability of an existing mHealth application. The usability of the application was assessed iteratively using a 3-phase approach, including a rapid cognitive walkthrough (Phase I), lab-based usability testing (Phase II), and in situ pilot testing (Phase III). The study team conducted Phase I, while providers and patients participated in Phase II and III. The rapid cognitive walkthrough identified 23 potential issues that could negatively impact user experience, with the majority classified as system issues. The lab-based usability testing yielded 141 usability issues.; 43% encountered by patients and 57% by dentists. Usability problems encountered during pilot testing included undelivered messages due to mobile phone carrier and service-related issues, errors in patients' phone number data entry, and problems in provider training. Through collaborative and iterative work with the vendor, usability issues were addressed before launching a trial to assess its efficacy. The usability of the mHealth application for postoperative dental pain was remarkably improved by the iterative analysis and interdisciplinary collaboration.

Images of torture: ‘affective solidarity’ and the search for ransom in the global Somali community

ABSTRACT Recent migration trends among the Somali youth and the rise of the migrant smuggling network, in Somali known as Magafe, have rendered traditional practices of solidarity ambiguous. Somali notions of solidarity have historically been a mechanism of care within the clan system. In this article, we argue that traditional practices of solidarity are challenged through the intensification of ransom collection in the Somali community. In recent years, increasing numbers of young Somali migrants have been taken captive in the deserts of Sudan and Libya. Appealing to affective responses, the Magafe network use images and sound recordings of beatings and torture to convince family members, and the wider Somali community, to pay extortionate ransoms. Based on fieldwork conducted in Somaliland in 2013, 2015 and 2021 among Somali families affected by irregular youth migration, the article finds that the willingness and ability of clan members to pay the ever-increasing sums are dwindling. Consequently, mass and social media are widely used by family members and the Magafe network alike to spread the images, sound bites and the phone numbers for money transfer. They thereby appeal to what the article conceptualizes as the ‘affective solidarity’ of the global Somali community.

TelcoID: Mobile Network Operators as Identity Providers

Phone numbers are globally unique identifiers that are extensively utilized in online service registration processes of verifying a user's identity. They are issued by mobile network operators (MNO) during the customer onboarding process, after performing a know-your-customer (KYC) process. In an increasing number of countries, regulatory bodies prescribe MNOs to verify customers’ identities by checking their national identity cards card during the KYC process, making the digital identity associated with a phone number trustworthy and valuable. However, MNOs do not capitalize on customers’ digital identities for anything other than offering connectivity. This paper explores how MNOs can empower their customers with trustworthy digital identities, referred to as TelcoIDs, that the customers are free to utilize for all sorts of online services. To be compliant with the latest privacy-preserving principles of the Self-sovereign Identity paradigm, a decentralized identity management system that is commonly operated and governed by different MNOs, serves as the technical foundation for TelcoIDs. The proposed concept has the potential to not only add value for customers of MNOs but also to create a new business opportunity for MNOs in the role of trustful identity providers.

Factors influencing patients on antiretroviral therapy loss to follow up: A qualitative analysis of healthcare workers perspective.

Despite expanded and successful antiretroviral therapy program coverage, a large proportion of people drop out at different stages along their treatment course. As a result, treatment gains do not reach a large proportion of these groups. It has been demonstrated that around half of the patients who test Human immunodeficiency virus (HIV) positive in Sub-Saharan Africa are lost between testing and being considered for eligibility for therapy. The purpose of this study was to determine the factors that influence patients on antiretroviral therapy who lost to follow up in HIV treatment clinics in Asunafo South District, Ahafo Region. We used phenomenological qualitative research approach in conducting this study. Purposive sampling was used to select respondents, while key informant interview was used to collect the data. The major identified challenges in carrying out follow-up visits of patients on antiretroviral therapy were wrong addresses and phone numbers of clients, coupled with poor telecommunication networks, geographical relocation of clients, poor documentation of patients' information, and non-availability of means of transport. The preferred reengagement strategies identified in this study were: supply of drugs through home visits, intensive education, engaging the services of community-based surveillance officers, enhanced regular phone calls visits, adoption and use of an integrated antiretroviral therapy clinic, intensified education on HIV, and involvement of religious leaders. In conclusion, all clinicians and stakeholders should consider the identified challenges and reengagement strategies when providing antiretroviral services.

The Scourge of Job Deceit: Teenager’s Prostitution and Baby Factories in Nigeria

Could ignorance on the part of parents and economic hardship be the reasons they fall prey to job deceit, which might have led to teenager prostitution and baby factories, or could the parents be aware of the practice and just want to use their child as a survival wage? It was against these backdrops that this study examined ‘the Scourge of Job Deceit: Teenagers' Prostitution and Baby Factories in Nigeria’. The research design is explorative in nature. The sample size for the study was 35 residents in cities and towns who identified as having experienced this act. A questionnaire was developed, titled Job Deceit: Teenagers' Prostitution and Baby Factories in Nigeria, which has a reliability coefficient of 0.75. In scoring the instrument, the study adopted the measure of central tendency (the mean score). The highest possible mean average was 4.00, while the least was 1.00; the mid-point mean was 2.50 (since it was a four-point scale). Content analysis was used for the newspaper review. Findings from the study revealed that people complain that most jobs' posters or banners with phone numbers promising huge pay are deceitful. On this note, the study concluded that teenagers are lured into prostitution and babymaking in baby factories on the premise of employment and financial liberation from poverty for their struggling families. A recommendation was made that parents should desist from the act of giving their teenage children to people who promise to help get them jobs in the city without prior notice.

Using light, unmanned helium balloons for rain enhancement

In Romania, any action regarding active interventions in atmosphere works under provisions of Law No. 173/2008. According to this law, the experimental rain enhancement program uses unmanned light helium balloons. Their operation was performed by the trained staff from Active Intervention into Atmosphere (S.C. IAA S.A., headquarters in Bucharest, Romania). A French society developed the technology of light unmanned helium balloons – SELERYS; they were the first in the world that set up this concept. To operate such balloons, an important automatic coordination like a SOBLI one is needed. The communications between a command post and the unit where these balloons are placed is performed via SMS. Only recorded phone numbers are used in these communications to prevent abusive calling. Following the French manufacturer’s recommendations - (SELERYS), a balloon launching module is composed of: one container, an electric command panel, two batteries of 12 V, solar panels, a weather station, an automatic sliding roof, two helium tank stands, covered guiding panels with foil, six boxing launching, and a switchboard. Besides these previously listed, there’re latex balloons, pneumatic connectors, and torch places. On an experimental trial undertaken within Hail Suppression Unit (UCCG) Moldova 1 – Iasi at Cotnari Group (Valea Racului, Hodora, Ruginoasa, Strunga, and Sârca), considering the velocity too, a surface up to 80000 ha has been covered. Using unmanned helium balloons has been proven useful increasing rain amounts up to 10 – 25%.

Design and Practical Application of a Cost Effective Intelligent Female Surveillance System Using GPS, GSM, and Arduino Technology

This paper suggests a cost effective, portable and intelligent surveillance system for women that they can utilize in risky or emergency situations. In this design, an Arduino Nano microcontroller, a GPS module, and a GSM module are the main parts used. Whenever an emergency arises, the user can instantly send an emergency message to a preset phone number along with their current location. The emergency activation button is in a handy place on the gadget, which is tiny enough to carry in a pocket or purse. This device will improve women's protection and security, particularly in places with high crime rates or poor public safety.

Confronting Anxiety in the Era of COVID-19: Investigating the Prevalence and Impact on Daily Life in Bangladesh

Background: The COVID-19 pandemic has brought about unprecedented stress levels and has significantly impacted daily life activities, including changes in food patterns, sleep disturbances, and reduced physical activity. This survey study aims to analyze the pervasiveness of generalized anxiety disorder (GAD) among Bangladeshi adults and its association with daily life activities. Methods: A randomized phone number generator was utilized to approach 1438 individuals aged 18 and above, out of which 412 participants volunteered for the study. Participants' anxiety level was estimated by using the GAD-7 score. Results: Out of the 412 respondents, 11.89% experienced severe anxiety, while 17.72% and 39.32% suffered moderate and mild anxiety, respectively. Severe anxiety was more prevalent among women (16%) than men (9.54%). The study found that sleeping for less than eight hours was associated with an increased likelihood of severe anxiety (OR = 4.87), while fewer changes in food habits (OR = 0.27), less online exposure (OR = 0.01), and engaging in some physical activity (OR = 0.20) were associated with the reduced likelihood of anxiety. Conclusion: This survey study highlights to give more emphasis of monitoring anxiety during a public health emergency like the COVID-19 pandemic. The findings of this study establish a significant correlation between GAD and everyday life activities, emphasizing the need to prioritize mental health initiatives during such unprecedented times. Bioresearch Commu. 10(1): 1378-1385, 2024 (January)

Evaluating numerous techniques for the effects of electromagnetic waves on the Electro Cardio Gram (ECG)

<p>Nowadays, due to the widespread use of mobile phones and the proliferation of mobile towers the human body parts especially the heart are getting affected. Furthermore, these waves are ubiquitous in our modern society, with various sources emitting these waves in our environment. As medical devices become more prevalent and wireless technologies continue to advance, concerns have been raised regarding the potential impact of electromagnetic waves on human health. It is important to monitor the condition of your heart. With the increase in the number of mobile phones, there is also an increase in electromagnetic radiation, which can affect the human heart. The heart is an important component of the human body and an electrocardiogram (ECG) can provide valuable information about its condition. ECG parameters can show how well the heart is working. In this paper, the author proposes how ECG parameters change under the influence of mobile phones in three different situations. A comprehensive experimental setup was devised. A group of healthy human subjects volunteered to participate in the study, with each subject undergoing ECG recording under controlled conditions. The subjects were exposed to varying intensities and frequencies of electromagnetic waves generated by a standardized source. Statistical analysis was performed to compare the ECG measurements obtained during exposure to electromagnetic waves with those obtained in a controlled environment without electromagnetic wave exposure. This study contributes to the growing body of research on the potential health effects of electromagnetic waves. By specifically focusing on the ECG signal, which is vital for cardiovascular diagnostics, this research provides valuable insights into the safety and reliability of using ECG in environments with electromagnetic wave exposure. The findings will help inform healthcare professionals, engineers, and policymakers to establish appropriate guidelines and safety measures concerning the use of medical devices and wireless technologies in proximity to patients or individuals with cardiac conditions.</p>

Patient Satisfaction and Quality of Life After Mastectomy at King Abdulaziz Medical City, Jeddah.

Background Overall well-being after surgical intervention is one of the most important aspects of assessing quality of life (QOL), yet it is not well explored in the literature. In this paper, it wasnecessary to involve the patient's perspective of the nature of their QOL. The burden of being diagnosed with breast cancer is an adaptation to a new lifestyle, having to deal with disease stigma, interpersonal relations problems, and being limited to specificclothing. This can be very challenging for patients. This study aims to identify which patient group, based on their treatment regimen, exhibits higher levels of satisfaction and dissatisfaction compared to other groups. Methods A retrospective, cross-sectional study analyzing the QOL amongfemale breast cancer patients who underwent mastectomy, with or without breast reconstruction, in King Abdulaziz Medical City, Jeddah, between 2009 and 2022. Patients' demographics and phone numbers were obtained from each patient's medical record file in our hospital. Phone call-based interviews were conducted to contact patientsto assess their QOL, satisfaction, and regrets after surgery. We excluded patients who do not speak Arabic, are illiterate, have memory disorders, patients who underwentlumpectomy or palliative mastectomy, patients with metastatic stage 4 cancer at the time of diagnosis, patients who are males, and patients who passed away. Results A total of 2,309 patients were screened during the period aforementioned; a total of 346 patients met our inclusion criteria. All of whom are female participants with a current mean age of 52.3 ± 11.5 years. There were 301(86.99%) participants reported being satisfied, while only45 (13.01%)participants reported being unsatisfied with surgery outcomes. Although the majority of participants were satisfied after mastectomy, many of them still struggled with psychological, social, and/or emotional challenges. These challenges can have a significant impact on a patient's overall well-being and QOL and must be addressed to provide patients with the highest quality of care possible. Conclusion The study findings highlight the significant impact of mastectomyon patients' lives. It is important to consider individual patient experiences and circumstances when evaluating treatment outcomes and patient satisfaction. We observed that patient satisfaction may vary depending on several factors, including patients' baseline satisfaction. Those factors may be psychological, such asbody image issues, low self-esteem, the feeling of losing a body part, and fear of recurrence or metastasis. Other factors may be postoperative-related complications, including lymphedema, redundant skin, chronic pain, and operation scar. Additionally, factors may be socially related, such asloss of confidence,social withdrawal,embarrassment, inability to buy prostheses, being limited to specific clothes, and occupational impact.

Impact of Mode Switching on Nonresponse and Bias in a Multimode Longitudinal Study of Young Adults.

Young adults are generally hard to survey, presenting researchers with numerous difficulties. They are hard to locate and contact due to high mobility. They are hard to persuade and exhibit high levels of resistance to survey participation. As a result, they pose a greater challenge for longitudinal surveys. This paper explores the role of mode of data collection in young adults' decisions to stay in a longitudinal panel. We draw on data from the National Young Adult Health Survey (NYAHS). NYAHS is a longitudinal study (three annual waves and 2 brief between-wave follow-up surveys) of adults aged 18-34 initially recruited in 2019 through RDD sampling of cell phone numbers nationwide. All sampled cell phone numbers were randomly assigned to one of three experimental conditions; the conditions differed in mode of data collection used in subsequent interviews once screened in. In the first condition, young adults continue all rounds of interviews by telephone ("telephone only" condition). The second group of young adults completed one round of interview by web and the rest by telephone ("telephone mostly" condition). The last third was asked to complete three interviews online and two interviews by telephone ("web mostly" condition). We examined the impact of mode switching on young adults' likelihood of participating in later surveys and on nonresponse bias in key survey outcomes. We found that switching young adults from telephone to web had an immediate negative effect on their likelihood of participating in that web survey, but it did not have a continued negative effect. Switching them from web to telephone increased response rates and reduced nonresponse bias. The findings have important practical implications on how to survey young adults.

Consideration of Data Security and Privacy Using Machine Learning Techniques

As artificial intelligence becomes more and more prevalent, machine learning algorithms are being used in a wider range of domains. Big data and processing power, which are typically gathered via crowdsourcing and acquired online, are essential for the effectiveness of machine learning. Sensitive and private data, such as ID numbers, personal mobile phone numbers, and medical records, are frequently included in the data acquired for machine learning training. A significant issue is how to effectively and cheaply protect sensitive private data. With this type of issue in mind, this article first discusses the privacy dilemma in machine learning and how it might be exploited before summarizing the features and techniques for protecting privacy in machine learning algorithms. Next, the combination of a network of convolutional neural networks and a different secure privacy approach is suggested to improve the accuracy of classification of the various algorithms that employ noise to safeguard privacy. This approach can acquire each layer's privacy budget of a neural network and completely incorporates the properties of Gaussian distribution and difference. Lastly, the Gaussian noise scale is set, and the sensitive information in the data is preserved by using the gradient value of a stochastic gradient descent technique. The experimental results showed that a balance of better accuracy of 99.05% between the accessibility and privacy protection of the training data set could be achieved by modifying the depth differential privacy model's parameters depending on variations in private information in the data.

A National RDD Smartphone Web Survey: Comparison With a Large-Scale CAPI Survey

The most important national surveys of the general population for creating official statistics or public policymaking in many countries, including South Korea, are still conducted using face-to-face interviews with household members. Recently face-to-face surveys have faced threats to data quality from decreasing response rates and rising costs of in-person visits. The COVID-19 pandemic and associated lockdown exacerbated the situation for face-to-face surveys. Survey organizations suspended fieldwork or began to explore alternate means of collecting data. One alternative was a shift to telephone surveys; however, telephone interviews have encountered similar difficulties with declining response rates and increasing costs. Could a self-administered web survey be a viable alternative to interviewer-administered modes such as telephone interviews (CATI) or face-to-face interviews (CAPI)? Smartphones may offer opportunities not offered by other modes. We conducted a smartphone web survey using SMS invitations where a sample of cell phone numbers was selected by random digit dialing (RDD) and compared it with a large-scale national face-to-face survey (CAPI) where a sample of households was selected by stratified cluster sampling. The two surveys were conducted during the COVID pandemic in the second half of 2020. The coverage and sample representation of the smartphone web survey were comparable to that of the face-to-face survey. Despite the relatively small number of respondents, the quality of the smartphone web survey was sufficient to provide accurate data and compared favorably with the CAPI survey. The smartphone web survey yielded more reports of socially undesirable attitudes and behavior than the CAPI survey. The findings will guide researchers to explore new opportunities in establishing a web survey methodology that obtains data more conveniently, efficiently, accurately, and with less cost.

Інтелектуальна система ідентифікації рейтингу довіри користувача

The article develops an intelligent system for identifying the user's trust rating, which allows viewing information about contacts that are more aimed at creating trust in the interlocutor or providing information that helps to identify the caller or the person with whom we are trying to contact. The k-nearest neighbours method was chosen to create the recommendation system. The main advantage of using the k-nearest neighbours method is the ability to take into account the unique trust rating of each phone number. It is important not only to find phone numbers with a similar rating, but also to take into account the approximate rating. The k-nearest neighbours method allows you to provide recommendations based on the similarity between phone numbers that have received positive feedback from users with similar preferences. Intelligent recommendation systems can provide phone numbers with similar ratings. When a user requests information about a phone number associated with fraudsters, the system instantly offers low-rated phone numbers that are therefore potential fraudsters.