Mobile Monitoring Applications Research Articles

P1192 Use of a mobile application for monitoring and communicating with Inflammatory Bowel Disease patients

Abstract Background Biological therapies and small molecules for patients with Inflammatory Bowel Diseases (IBD) have increased the effectiveness, but also adverse effects (AE) or problems in their administration. In addition, patients have greater formation and communication needs. In 2020, we developed a mobile application (app) to improve communication and monitoring of IBD patients. Aim and objectives To assess the implementation of an app for communication and remote monitoring with IBD patients. Methods A multidisciplinary group composed of pharmacists, dermatologists, rheumatologists, gastroenterologists, and nurses designed an app for immune-mediated inflammatory diseases (IMID) patients in a tertiary hospital. The app consists of the following modules: Medication, Questionnaires, Adverse Events, Useful Information, Messages, and Patient Profile. We offered the app to patients who initiated a new biological or small molecule therapy. We performed an observational, longitudinal study to assess the app's impact on medication adherence, safety, and communication. The inclusion period was from December 2020 to May 2024. The inclusion criteria were age ≥ 18 years, diagnosis of IBD, and ownership of a smartphone. Patients with language barriers were excluded. Results 183 patients were included (median age: 42 years [IQR: 29,5-52,1] and 47.5% were female). Concerning the type of IBD, 73.7% of patients had Crohn's Disease (CD) and 26.3% Ulcerative Colitis (UC). The median follow-up time for app use was 446 (243,5-626,5) days. In the Medication module, 100% of patients registered their biological therapy and 39 % also used this module to record each dose of medication administered. 95,1% adherent according 4-item Morisky Medication Adherence Scale (MMAS-4). A total of 98 AE were registered. 16,39% of patients registered at least 1 AE. The most frequent AEs were fatigue (28.6%), injection site reaction (16.3%), headache (13.3%), and diarrhea (8.2%). 27,3% of patients used the messages module to communicate with healthcare professionals. The most frequent messages concerned gratitude (34%), logistical and citation issues (20%), doubts about administration (14%), doubts about managing AEs (12%), and drug interactions (8%). Conclusion Our app reminds patients to take medication, enables them to record AEs, and helps them communicate with healthcare professionals. More than a third of the patients registered the administration of the biological therapies and 16,39% registered at least 1 AE. The most used functionality was communication with health professionals.

Development of an educational and monitoring mobile application for pregnant women in Nigeria

IntroductionNigeria accounts for 20% of all maternal mortality. Recently, more mobile health technology (mHealth) interventions are emerging in sub-Saharan Africa. The potential of mobile applications in maternal care has not been explored in Nigeria. This study describes the process of design, development, and testing of an educational and monitoring mobile application for pregnant women in Nigeria.MethodUsing a user-centered design, we conducted semi-structured interviews at each stage of mobile application development with pregnant women attending antenatal clinics in Oyo State, Nigeria. The first interview focused on empathy, followed by alpha and beta testing of the mobile application prototype at health facilities.ResultsThe barriers to accessing perinatal care were the distance to the nearest facility (mean = 3.3 km), lack of perinatal education, and cost. The low-fidelity prototype of the mobile application was designed with five features. Mobile applications increased the level of knowledge of preeclampsia by 179%. User feedback from alpha testing informed the development of a high-fidelity prototype for beta testing. Ninety-five percent (95%) of pregnant women surveyed were willing to download the mobile application. The final application developed was uploaded to the Google Play Store (MyBelle pregnancy application).ConclusionmHealth applications have the potential to increase access to prenatal information and services in Nigeria and may reduce maternal and childhood mortality. This study has described the process of development of the first indigenous mobile application specifically for pregnant women in Nigeria using a user-centered design thinking approach.

Comprehensive Monitoring System for High-Risk Pregnancies

Prenatal care protects the Health of both mother and baby, influencing the development and well-being of the mother-child duo. Risks during pregnancy, such as preeclampsia or gestational diabetes, can have long-term effects on the mother’s Health. Effective monitoring of pregnancy risks is essential for improving health outcomes. Therefore, we propose the development of an integrated high-risk pregnancy monitoring mobile application incorporating IoT sensors (smartwatches) to monitor critical biomedical variables. This allows healthcare professionals to collect and analyze data, reducing prenatal risks and improving maternal and fetal health outcomes. Functional and non-functional requirements were gathered and refined through continuous support and iterative meetings with an experienced gynecologist. We identified multiple functional requirements through user stories. Non-functional requirements were also collected to design the proposed architecture and comply with current legislation, prioritizing the security and privacy of biomedical data. We conducted Load tests on the proposed architecture, verifying the system’s quality attributes. Additionally, we carried out usability tests through interviews with a sample of ten pregnant women. Participants found the application intuitive and essential for monitoring their Health, and it could provide a constant source of confidence throughout their pregnancy. The proposed system could be a valuable tool for high-risk pregnancy monitoring. However, large and intensive clinical trials are essential to validate its effectiveness in real-life scenarios.

The Usability and Feasibility of a Dietary Intake Self-Monitoring Application in a Population with Varying Literacy Levels.

Our aim was to study how hemodialysis patients with varying levels of literacy would use a diet and fluid intake monitoring mobile application (DIMA-P) and what would be its impact on their dietary behaviors. We developed a mobile application using user-centered methods and informed by the Integrated Theory of Health Behavior Change (ITHBC). Eight hemodialysis patients were recruited to use the application to record and monitor their diet and fluid intakes for a 6-week study. Overall, the participants had low literacy, numeracy, and technical skills. We collected the data on application usage and administered usability and context-of-use questionnaires to gain insights into the participants' interaction with the application. The participants' portion estimation skills and dietary self-regulation self-efficacy were assessed using various tests. In addition, interdialytic weight gain data were collected to assess the impact of app usage on the participants' health outcomes. The application usage patterns varied, with a general trend towards frequent use (n = 5) correlating with engagement in self-monitoring. The participants gave high comprehensibility, user-friendliness, satisfaction, and usefulness ratings, suggesting that the app was well designed and the target users could easily navigate and interact with the features. While the participants improved in estimating portion sizes, the impact on measuring skills was variable. There was also an improvement in the participants' dietary self-regulation self-efficacy post-study. The interdialytic weight gain trends indicated a slight improvement in fluid and diet management. People with different literacy skills can effectively use icon-based interfaces for portion size estimation and develop personalized usage patterns to self-regulate their fluid and dietary intakes. Moreover, they can experience an enhancement in their dietary self-efficacy skills by using a mobile application aimed at providing nutritional feedback. Furthermore, this research shows that the constructs of the ITHBC are effective in promoting dietary behavior change in a population with varying literacy skills. The target users can benefit from explicitly visualizing the relationship between their health outcomes and the factors influencing those outcomes. These user ambitions could be supported by developing machine learning models. Future research should also focus on enhancing the mechanisms by which technology can further enhance each component of the ITHBC framework.

TeleCleft: Development and Evaluation of a Mobile Application for Monitoring Cleft Patients.

Development and evaluation of a mobile application for remote monitoring and guidance of pediatric patients diagnosed with cleft lip and/or palate (CL ± P) and their caregivers. This is a pilot cross-sectional, applied, and quantitative study. The study was conducted in two tertiary care treatment centers in Brazil. The participants included 20 caregivers and infants undergoing treatment with nasoalveolar molding (NAM) for CL ± P. The intervention involved using the TeleCleft mobile application for remote monitoring and guidance of caregivers and infants during NAM treatment. The main outcome measures included usability and satisfaction of users with the TeleCleft application. The results showed high usability and satisfaction ratings among users of the TeleCleft application. Most participants found remote monitoring to be effective and expressed positive opinions about its convenience and usefulness. TeleCleft could be a viable tool for remote monitoring and guidance, reducing the need for patients and caregivers to travel to treatment centers, which could potentially alleviate the burden of care faced by families during the journey of CL ± P treatment.

Predictive model of nocturnal hypoglycemia based on the data from mobile application for glucose monitoring

Objective: to develop a prognostic algorithm of nocturnal hypoglycemia (NH) based on the glucose monitoring mobile application data. Material and methods. The retrospective analysis of 524 continuous glucose monitoring (CGM) profiles of patients with type 1 diabetes mellitus was performed. CGM was performed using the Medtronic iPro2 system for 6-7 days, overnight periods of CGM were analyzed to identify systematic NH. There were 239 patients included in the study, among them 65 (27.1%) were identified as having systematic NH. Models of 7-point glycemic profiles were built and their data were uploaded to the DiaLog GM mobile application to calculate standardized glucose monitoring parameters. The prognostic model of NH was developed based on the logistic regression method. Results. According to the results of regression analysis the most significant predictors of NH included in the prognostic model were: glycated hemoglobin (p=0.001), using of insulin pump therapy (p=0.001), time below target range level 1 (p<0.001), coefficient of variation for glucose (p=0.02). The area under the ROC curve for the prediction model was 0.917; the optimal cut-off point for the predicted probability of NH was 0.317, with model sensitivity of 85% and specificity of 90%. Conclusions. The developed prediction model based on data from a specialized mobile application allows to improve the existing approaches to NH risk assessment due to higher predictive ability.

ISO/IEC 25010-based Quality Evaluation of Three Mobile Applications for Reproductive Health Services in Morocco

Background: Mobile applications play a crucial role in postnatal, contraception, and prenatal care, offering vital monitoring and resources for mothers and infants. This study assessed the software product quality (SPQ) (the degree to which a software product meets specified requirements and user expectations) of three reproductive health monitoring mobile applications, employing ISO/IEC 25010 and ISO/IEC 25023 standards. The objective was to analyze the strengths and weaknesses of each app, thereby providing valuable information for potential users. By identifying areas requiring enhancement, this study improves the overall quality and usability of these applications. Methods: We implemented a three-step analysis process, examining the sub-features and features outlined in the ISO/IEC 25010 standard for software product quality, encompassing functionality, reliability, usability, efficiency, and maintainability. Subsequently, we formulated a checklist summarizing the influence of the three mobile applications on SPQ. Finally, we calculated the impact of each requirement block on both SPQ and quality in use (QIU) models. Results: The results show that the functional suitability SPQ characteristic is greatly influenced by the predefined requirements, with subsequent impacts on the operability, performance efficiency, reliability, and security SPQ characteristics. Thus, developers, designers, and testers must integrate these requirements across the developmental stages of health mobile applications to create a high-quality, patient-centered product with substantial added value. Conclusions: This study has produced a range of requirements tailored for pregnancy monitoring and childcare applications, serving as a valuable reference for developers aiming to create high-quality applications and evaluate their quality effectively. It underscores the importance of integrating SPQ characteristics into the software development process to ensure the creation of high-quality products with essential key performance indicators (KPIs). Such considerations facilitate better evaluations in application stores and increase user adoption and satisfaction levels.

Development of Smart Gloves Prototype for Cyclists

Smart technologies have set their own standards and made their way into the current period. In that way, smart gloves have their own reputation for various purposes, such as gaming, boxing, power lifting, etc. However, there are not many smart gloves exclusively for cyclists in the market. Smart gloves for cyclists would be beneficial for monitoring their vitals during the athletic training or tracking their activity. There are few highly expensive wearable activity monitors that results in detecting the abnormal health status before it affects the athlete, during cycling and resistance exercise. In this paper, a smart glove prototype for cyclists is developed using Arduino software with affordable price, accurate reading of the heart rate, and oxygen-saturated level in the blood using MAX30100 sensor. The GPS enables locating and detecting the location of the user during the cycling activities. The determined data will be displayed on the Android smart phone of the user with the support of Bluetooth connection. The values can be monitored in real time, benefiting the user to act accordingly to the values in case of any significant abnormalities seen during the cycling activity. MIT app inventor had contributed a great part in accomplishing the mobile application for monitoring. As a result, in this study the developed prototype compensates the limitations of the existing smart glove and in cooperated it for serving its purpose at an affordable price.

AI 기반 수요예측 알고리즘 모바일 모니터링 애플리케이션 설계

최근 많은 기업이 다양한 AI 기반 수요예측 알고리즘을 통해서 이익을 창출하기 위해 시스템을 구축하고 있다. 그렇기에 본 연구에서는 AI 수요예측 관련 자료를 사용자가 실시간으로 모니터링 할 수 있는 애플리케이션을 개발하고자 한다. 이 애플리케이션을 만들 때 정보를 쉽게 이해하도록 색채를 용도에 맞춤으로써 도움을 줄 수 있고, 레이아웃을 고려하여 정보를 쉽게 전달하고 한눈에 알아볼 수 있도록 하는 것이 목표이다. 또한, 아이디와 비밀번호 확인, 고유 코드 부분 구성에서 체크 박스 기능과 각 텍스트 기능을 이용하여 설계하였다. 기업별로 정해진 고유 코드를 이용하여 해당되는 기업의 데이터만 확인할 수 있게끔 하여 기밀 데이터 보안성을 강화할 수 있다. 그로 인해 실시간 모니터링을 모바일 애플리케이션으로 보안 문제없이 볼 수 있다.

Stakeholder Perceptions towards a Mobile Application for Community-Led Monitoring of Tuberculosis Services in Metro Manila, Philippines: A Qualitative Study.

To determine the perceptions of persons with tuberculosis (TB) and health workers on Care TB - a mobile application for the community-led monitoring (CLM) of TB services. We used a qualitative research method. Six people with tuberculosis and ten health workers were chosen through purposive sampling for semi-structured interviews. The narrative data produced from the interviews were subjected to qualitative content analysis in order to uncover salient themes and patterns. The community-led monitoring mobile application was shown to be acceptable both to TB healthcare providers and patients. It enhances information access and streamlines the process of reporting care barriers. The application also allows persons with TB to interact with one another, potentially eliminating stigma and discrimination. Potential challenges to implementing the CLM program include issues with internet connectivity, costs, and human resources. This study provides preliminary evidence of the acceptability and perceived feasibility of a mobile application for the community-led monitoring of TB services. For the CLM initiative to be scaled up across the country, more financial and technical support is required.

Assessing the contribution of the Adhoc crop health surveillance tool on the food security and livelihoods of smallholder farmers in Uganda

AbstractOne of the perennial causes of food insecurity in Sub‐Saharan African countries is crop pests and diseases that affect agricultural production. To address this concern in Uganda, a mobile phone crowdsourcing Adhoc surveillance tool, Adsurv, was deployed and used by smallholder farmers. Adsurv is a crop health surveillance and monitoring mobile application that facilitates diagnosing and managing crop pests and diseases. Existing literature has examined the impacts of mobile technologies on food security or livelihoods in isolation, but has not conducted a holistic assessment of both. This study on the other hand aimed at assessing the contribution Adsurv made towards improved food security and livelihood assets of the smallholder farmers, which were not fully understood. The study contributes to applying the sustainable livelihood framework (SLF) as theory in evaluating Mobile for Development (M4D) initiatives. The Analytic Hierarchy Process (AHP) was further adopted to facilitate the development of a hierarchical assessment model of the multidimensional food security and livelihood aspects using data collected from 56 out of the targeted 70 participants. Results show that Adsurv mainly contributed towards food availability rather than utilization or access. These gains mostly enhanced the human assets of the smallholder farmers, empowering them with skills that positively impacted all other assets to support the attainment of sustainable livelihoods. The implication of these results in both research and practice is the need for further research trials, which will motivate farmers to recognize the importance of the nutritional value of food in their agronomic practices.

HealMA: a model-driven framework for automatic generation of IoT-based Android health monitoring applications.

The development of IoT-based Android health monitoring mobile applications (apps) using traditional software development methods is a challenging task. Developers need to be familiar with various programming languages to manage the heterogeneity of hardware and software systems and to support different communication technologies. To address these problems, in this paper, we first analyze the domain of health monitoring mobile applications and then propose a framework based on model-driven engineering that accelerates the development of such systems. The proposed framework, called HealMA, includes a domain-specific modeling language, a graphical modeling editor, several validation rules, and a set of model-to-code transformations, all packed as an Eclipse plugin. We evaluated the framework to assess its applicability in generating various mobile health applications, as well as its impact on software productivity. To this end, four different health monitoring applications have been automatically generated. Then, we evaluated the productivity of software developers by comparing the time and effort it takes to use HealMA compared to a code-centric process. As part of the evaluation, we also evaluated the usability of HealMA-generated apps by conducting a user study. The results show that HealMA is both applicable and beneficial for automatic generation of usable IoT-based Android health monitoring apps.

Mobile application for monitoring and normalizing the mastication muscle functional condition

Relevance. We have developed and patented a mobile application for monitoring and normalizing the mastication muscle functional state to solve the problems of detecting people with suspected dysfunction of the jaw muscles and increase the efficiency of muscle exercises.Purpose. To evaluate the positive effect of the mobile application to control and normalize the mastication muscle functional state in the clinical orthodontic practice.Material and methods. The study included 74 patients of Children Clinical Dental Clinic No. 2 of Voronezh, aged 6 to 12 years, who presented for a dental check-up. The masseter muscle tone was determined using the Mioton-3S device.Results. The authors’ method of self-examination does not give a systematic overestimation or underestimation of parameters (p = 0.083) compared to the standard myotonometry, which evidences its reliability and the possibility to use for preliminary examination and detection of people with suspected abnormal muscle tone. The analysis of the masseter muscles’ tone one month later revealed a statistically signifcant (p = 0.034) decrease in the number of patients with tone disorder among the mobile application users compared to the patients who did not use the application.Conclusion. The developed mobile application is efficient for preliminary assessment and detection of people with suspected abnormal muscle tone. Mobile application helps increase efficiency and awareness of muscle exercises.

Patients, caregivers, and healthcare professionals' needs when designing the content of a mobile application for the clinical monitoring of patients with chronic obstructive pulmonary disease and home oxygen therapy: A user-centered design

BackgroundPatients with chronic respiratory diseases require oxygen supply in a considerable amount to reduce their symptoms and increase their survival. The development of abilities for the self-management of chronic diseases has been shown to be essential to decrease exacerbation of symptoms. Therefore, the design and development of health mobile applications (apps) that aid in educating and training for disease self-management are cost-effective strategies. ObjectiveThe purpose of this research was to describe the main characteristics that, according to final users, should be included in a mobile application for monitoring patients prescribed home oxygen therapy. MethodsA participative-qualitative design was used, involving direct participation of patients, caregivers, and healthcare professionals. Focus groups were conducted to identify the needs and perspectives related to the app. A card sorting method was used to determine the contents and basic architecture of the app. ResultsBy means of the focus groups, we could identify nine basic functions of the app for the clinical monitoring of patients under home oxygen therapy. For both profiles, the app structure was determined by identifying the most frequent contents among participants. ConclusionsThe implementation of a user-centered design allowed for the detection of the functions, contents, and basic architecture of the app by identifying healthcare professionals and patients' needs and preferences regarding the self-management and monitoring of home oxygen prescriptions. Trial RegistrationThe study is registered in ClinicalTrials.gov: NCT04820790.

Acceptability of an interstage home monitoring mobile application for caregivers of children with single ventricle physiology: Toward technology‐integrated family management

Infants with single ventricle physiology experience numerous vulnerable transitions, and the interstage period for shunt-dependent children represents the time of highest risk for morbidity and mortality. Data exchange, physiological monitoring, and communication between clinicians and caregivers through interstage home monitoring are critical. The purpose of this study is to report on the acceptability of a technology-enhanced home monitoring mobile application for interstage family management of children with single ventricle physiology. This study employed a qualitative descriptive study design and recruited caregivers that were part of a broader quality improvement project where they were beta users of a mobile health application specifically developed for the interstage home monitoring time period. Eleven caregivers were enrolled in this study that was a part of the early phases of beta testing the mobile application from a human-centered design perspective. In general, the participants had a favorable sentiment toward the technology-integrated family management aspects that the mobile application allowed for during the interstage process. The acceptability findings can be organized through the following themes: time needed for mobile application, family as integrated members of care team, connectedness and confidence, and resolving technical issues. Evaluation of the feasibility and acceptability of this technology from the perspective of family/caregivers is a critical component of human-centered design. The integration of technology-facilitated communication shows immense promise for patient populations undergoing vulnerable transitions in care. Future study is needed to determine the role mobile applications have in improved clinical outcomes, enhanced provider clinical-decision support, and family engagement in care.

Smart Health Monitoring System (SHMS) an Enabling Technology for Patient Care

Health Monitoring System is a sophisticating technology and another way to the normal/regular management of the health of the patient. This Health Monitoring Mobile Application is a contribution from our side to the public and to the overall health industry in Pakistan. With the help of Health mobile application, the users will be able to store their medical records, prescriptions and retrieve them later. The users can store and keep track of their vital readings (heart rate, blood pressure, fasting glucose, random glucose). The mobile application also shows hospitals that are nearby in case the user wants to avail of any medical help. An important feature of the application is the symptoms-based disease prediction, the user selects the symptoms which he has and then the application will name certain diseases that match those symptoms based on relevant algorithms. The major advances and issues have been discussed, and as well as potential tasks to health monitoring will be identified and evaluated.

Headache Diary Mobile Application for Monitoring and Characterizing Posttraumatic Headaches.

This study analyzed the data collected using a headache diary mobile application to characterize posttraumatic headaches (PTHs) in a sample of US veterans. Specifically, we measured patient engagement with the mobile application and compared our findings with previous literature regarding PTHs. A Headache Center of Excellence (HCoE) in a Veterans Health Administration facility. Forty-nine veterans currently being treated for ongoing PTH-related complaints with English fluency, reliable access to the internet, and a mobile phone. Observational study of PTH characteristics using the mobile application over the course of 1 year. Main outcome measures were collected via a headache diary mobile application developed for patients to track headache-associated symptoms, headache location, triggers, type, intensity, and duration. Patients also completed a baseline Headache Impact Test (HIT-6) survey. In total, 1569 entries were completed during the first year of application deployment. On average, patients completed 2.5 entries per week and used the application for 70 days. They frequently reported associated PTH symptoms of photophobia (56.7%) and headaches triggered by emotional stress (35.1%). Network analyses revealed patterns of co-occurrence in triggers of headache pain, associated symptoms, and headache pain location. Headache pain severity and impact ratings from the headache diary demonstrated convergent validity with the established HIT-6 measure. Headache diary mobile applications are a promising tool for monitoring and characterizing PTHs in veterans. Present results mirror past studies of PTH characteristics. Mobile application headache diaries may be used in both clinical and research settings to monitor headache symptoms and communicate the functional impact of headaches in real time.

An Internet of Things based Multi-Tiered Wireless Security System

In today’s contemporary culture, the need of taking precautions to protect one’s own belongings and privacy cannot be stressed. Because of this, an adaptive multilayer wireless security system, also known as ML-WSS, has been developed in order to monitor also safeguard a location with the assistance of the internet of things (IoT). In the hardware and software design of the ML- WSS, the sensors, the Wi-Fi module, also the process and monitoring mobile application all play key roles. The proposed method enables remote monitoring and management to take place finished the Internet also the ThingSpeak cloud, which is where the OMM application keeps the data that it has collected. The idea suggests slicing the crucial area into three distinct sectors, with sector 1 being the least dangerous, sector 2 being intermediate, and sector 3 being the most dangerous of the three. The criteria for the level of security should serve as a reference for both the placement of sensors and the classification of sensors according to the level of protection they give. Both of these processes should be carried out in accordance with the criteria. In the event that there is a breach in security, actions are carried out in accordance with these principles. A exact model also pseudocode were used in order to demonstrate the functionality of the planned system. It is reasonable to assert that the strategy used up to this point has been successful, given that level-3 locations now suffer from around half as many security breaches as level-1 areas.

Usability evaluation of a real-time water quality monitoring mobile application

To ensure that a mobile application is usable to a particular extent, a real-time water quality monitoring system should be carefully designed, especially as end users are a diverse group of people with varying requirements and demands. The main objective of this research was to investigate how participants, the fisher-folks respond to a mobile water quality monitoring app in terms of its effectiveness, efficiency and satisfaction, which together represent its usability. The results were obtained by performing usability evaluation through the use of a modified Goal Question Metric (GQM) model, including field testing and questionnaires. The evaluation findings show that the Real-Time Water Quality Monitoring app achieves a high level of success in terms of effectiveness and efficiency, and that users are satisfied with it. However, there were a few concerns that needed to be addressed.

Design and implementation of an adaptive multilevel wireless security system using IoT

Securing property plays a crucial role in human life. Therefore, an adaptive multilevel wireless security system (ML-WSS) based on the internet of things (IoT) has been proposed to observe and secure a certain place. ML-WSS consists of hardware and software components, such as a set of sensors, Wi-Fi module, and operation and monitoring mobile application (OMM). The OMM application is designed to remotely monitor and control the proposed system through the Internet and by using ThingSpeak cloud as a data store. The proposed scheme is based on dividing the required zone of the place into three regions (levels), low-risk region (LRR) as level-1, moderate-risk region (MRR) level-2, and high-risk region (HRR) as level-3. Each level may contain one or set of sensors, so the number of sensors, their placement, and under which level is labelled is specified according to the security requirements. Several processes are done based on these levels when a breach occurs in the system. Mathematical model and pseudocode were created to illustrate the mechanism of the proposed system. The results show that the proposed system has been implemented successfully and the number of breaches that occurs in level-3 area was reduced by 50% as compared to level-1.