Sanitization Process Research Articles

Impact factor based data sanitization in association rule mining

Abstract Data sanitization process is employed to market the sharing of transactional databases among organizations and businesses, and alleviates concerns for people and organizations regarding the disclosure of sensitive patterns sanitization process converts the source database into a released database so that unauthorized person cannot identify the sensitive patterns and so data confidentiality is maintained using association rule mining method. This process strongly relies on the minimizing the impact of knowledge sanitization on the info utility by minimizing the amount of lost patterns within the sort of non– sensitive patterns which are not mined from sanitized database. This study proposes a knowledge sanitization algorithm to cover sensitive patterns within the sort of frequent item sets from the database while controlling the impact of sanitization on the data utility using estimation of impact factor of every modification on non-sensitive item sets. In some applications like market basket analysis, Association Rule Mining (ARM) has recently gained more attention in businesses where the regularities within the customer purchasing behavior are found. On the other hand, these discovered patterns may pose a threat to the privacy of data holder; therefore, these patterns should be hidden before data sharing in such a way that the adversaries cannot discover the regularities in customer purchasing behavior.

Reviewing Plasma Seed Treatments for Advancing Agriculture Applications on Earth and Into the Final Frontier

Abstract With benefits such as environmentally safe treatment methods to stimulate growth, to increase plant yield, and improve disinfection efficiency, literature on the field of plasma treatment of seeds is growing. Generalized variables and success criteria have not been well correlated between studies, so this review paper serves to connect plasma and agriculture technologies to coordinate future efforts in this growing area of research. The authors have particular interest due to space agriculture, where seeds are sanitized before being sent into space for crop production. In order to supply a spectrum of nutritional needs, it is necessary to provide a variety of crops and ensure biological decontamination before the seeds are being sent into space. Traditional seed sanitization methods are not viable for all seed types, so exploration of other options is needed to expand the astronaut diet on long-duration space missions. This review paper brings together the current state-of-the-art reported literature to aide in understanding plasma seed application apparatus, seed or crop performance pertaining to germination, growth, water interactions, inactivation of bacteria, and surface sanitization results. These recent works include evolving research themes for potential seed treatment sanitization processes for various seed types to ensure the viability of plants for future growth in microgravity crop production systems.

Blockchain and Technologies Matching with the Case of Study of Vegetables Production

The proposed work describes a new approach based on supply chain traceability by blockchain (BC). The basic BC network has been designed and applied for vegetables process monitoring and tracing. The paper proposes some results of an industry research project by describing the whole scenario, the architectures implementing BC, the sequence diagram principle, and the prototype network embedding blocks and transactions. The discussion is also addressed on the possibility to combine different technique such as artificial intelligence, and image processing to improve pre-cut vegetable quality. The paper proposed preliminary results proves that the adopted technologies and the methodologies found in the literature are suitable for the sanitation process certification and for quality traceability. The mentioned approaches are useful to apply the suggested frameworks for other supply chains.

A Study and Analysis of Air Quality Index and Related Health Impact on Public Health

In 21st Century monitoring environmental value is a challenging and complex task but technology has changed now we can easily find the air quality index of any area. In the existing scenario, we will easily get air quality and environmental parameters on the internet. On the internet generalize statistical data is available which shows the quality of air. In a current scenario, the environmental parameter is impacting human health. In day today, the air quality index going worse and it impacts people's health. The people are facing different health issues like hair loss, asthma, lunges, and heart problems. It is important to know the environmental condition in our day-to-day traveling route. Recently air pollution is increased, the increase of harmful air particles is majorly affecting by the air quality index. Due to exposure to air pollutants, affects human health and causing many hazardous diseases like asthma and many more having a major impact on the lungs. The air pollution is impacting public health and creating multiple health-related problems, this causes a major medical cost every year derived from the disease. To travel safely with considering the health issues is a major concern in an urban area. In this paper, highlighting the impact of the air quality index on the human body, where the Air Quality Index is measured using the concerned information, this information will help to suggest a safe route where the air quality index is low so it can decrease the impact on human health. To find the safest path between source and destination we are using Dijkstra's algorithm. In this paper, we have studied the different research papers and made a comparative study to find the research gaps. The proposed model is a step up in the standard of living in regard to human health. The proposed model is consisting of three main components a) Air quality index b) health impact and c) safest path. In the first model the real-time data is collecting from the government agency or private agency these data will store in the database for analysis. The huge amount of data will handle by evaluation and analysis model in this model the data sanitization process will apply to get the more accurate data from sources it also calculates the different air particles and its ranges this data will transfer to the second model for identifying the health impact. The health impact model will calculate the average air quality index, time for traveling, and distance from the source to destination. This information will process to find short-term and long-term health impacts on public health. In the third safest path model, it will show the different nodes from source to destination at a particular distance. each node information will be stored in the form of a weighted graph in the database. Dijkstra’s algorithm is applying to find the safest path from source to destination. Dijkstra’s algorithm finds the node such that where its air quality value is less the algorithm will identify each node path in the graph such that the average traveling path consists of less air pollution.

Research on Bathroom Product Design Based on Barrier-free Experience Demand under Digital Background

Objective to study the design of bathroom products based on barrier-free experience requirements under digital background, Method to taking the experience needs of special populations as the research object, by analyzing the senses, emotions, thinking, behaviors, and related experiences of the elderly, the disabled, women, and children in the bathroom process, Conclusion the design of sanitary products with barrier-free experience needs should start from the three experience levels of instinct, behavior and reflection, and follow the design principles of safety and ease of use. Integrate the physical needs, psychological needs and experience needs of the elderly, the disabled, women, and children to make sanitary products more suitable for special populations, and realize all the experiences of elderly, disabled, women and children in the sanitary process Demand as a whole system design.

Выбор лечебных материалов в качестве корневого наполнителя среди биоактивных силеров (обзор литературы)

According to WHO (2012), Russian and foreign researchers data, prevalence rate of dental diseases among children reaches 75–95 %, among adults – 100 %, and in age groups above 35 years old, dental and mouth cavity problems become the primary concern. Despite intensification of the sanitation process in clinical dentistry, many researchers note the tendency of decrease in national dental health. Dealing with such an important medical-social goal as radical decrease of dental illnesses is in the area of complex approach not only to realization of sanitation-prophylaxis measures, but also in using novel ideas in dental services. The problems of legal regulations and administrative management of dental clinics in new economic conditions are key priority areas for the modern Russian medical industry. Rapid development of medical services market, improvement medical insurance services, providing more freedom for medical organizations in implementation of its activities marked the significance of search for more effective mechanisms of dental clinics work organization, focused on dental services improvement. High quality medical care should provide financial-economy and medical-social efficacy of healthcare development programs, determined to improve population quality and duration of life. Herewith, currently there are no unified criteria to determine medical care quality in Russia and abroad. The expediency to perform independent medical expertise of performed dental services is beyond dispute. Objectification of final treatment result evaluation is possible only when the patient medical condition data is available, determination of causal relationships between medical personnel actions and their consequences for the health of a citizen.

RESEARCH OF PARAMETERS OF THE SINK AND DISINFECTION BY WORKING OUT OF THE DIFFERENTIATED MODES OF APPLICATION OF NEW DOMESTIC MEANS FOR SANITARY PROCESSING OF CHEESE FORMS IN LABORATORY CONDITIONS

The washing ability and antimicrobial activity of the developed domestic products for the sanitary processing of cheese molds have been studied. Differentiated modes of application of new agents in laboratory conditions using various methods of washing and disinfection have been developed. The tests carried out made it possible to determine the main factors influencing the washing and disinfecting process of the tested agents and to optimize their compositions in terms of the main components and additives

Automated Sanitization Device – Hand Sanitization, Thermal Screening and IoT-based Web-database

In this time of great distress brought about by the COVID-19 pandemic, hand sanitization is of utmost priority to prevent the transmission of germs. We have come forth with an innovative “automated sanitization device” which makes the process of hand sanitization and temperature screening rapid, automatic and easier. The proposed automated sanitization device contributes significantly to prevent the spread of the virus and also raises awareness to increase hygiene at public places. The concept of embedded systems with various sensors attached to a PCB has been used in designing of the device. This paper addresses the methodological details of proposed automated sanitization device while focusing on its technical as well as financial expects. The proposed device is anticipated to be used at various public places like workplaces, residences, railway stations etc. working of this model, addressing both the technical as well as the financial aspect.

Main non-conformities verified in health inspections in family farming and rural production in Minas Gerais

Introdução: A necessidade do fortalecimento das iniciativas do modelo produtivo de agricultura familiar e do produtor rural em harmonia com os procedimentos de formalização e da produção de alimentos seguros requer da Vigilância Sanitária melhor apreciação do risco relacionado à essas atividades. Objetivo: Analisar o panorama das inadequações às boas práticas de fabricação detectadas nas inspeções sanitárias de produtores rurais ou de agricultores familiares, do estado de Minas Gerais. Método: Estudo transversal elaborado a partir das informações obtidas na “Planilha de notificações de riscos e situações de riscos”, da Superintendência de Vigilância Sanitária de Minas Gerais, resultado de todas as inspeções realizadas entre 2017 e 2019 nos estabelecimentos produtores de alimentos dos produtores rurais e agricultores familiares, dos 853 municípios do estado de Minas Gerais. Resultados: Foram analisadas 3.442 notificações de risco de inspeções sanitárias, sendo possível verificar que os maiores percentuais de não atendimento aos requisitos higiênico-sanitários foram a ausência da capacitação formal dos manipuladores, em 26,00% das inspeções; o uso de água não potável, detectada em 16,50% e a não obediência às boas práticas, pelos manipuladores, citada em 14,20%. Ao contrário, as inadequações de tempo e temperatura no transporte (4,70%), o uso de matérias-primas sem registros (5,10%) e a exposição inadequada (6,20%) dos produtos finais representaram as não conformidades menos referidas nos laudos. Conclusões: As principais não conformidades verificadas nas inspeções da produção de alimentos pelos pequenos empreendimentos rurais de Minas Gerais demonstraram uma polarização no atendimento às exigências sanitárias, com a priorização de adequações à estruturação física, em detrimento aos processos educativos e de saneamento básico. Tais limitações no cumprimento das determinações normativas ressaltaram as fragilidades basilares que dificultam a inclusão produtiva, devendo servir de referência para as iniciativas de desenvolvimento do setor.

Ethical and legal problems caused by COVID-19 pandemic

In the article these are considered ethical and legal problems caused by the ongoing pandemic of the new coronavirus disease (COVID-19). New challenges for health care, economy, education not only revealed rather a high level of stability and mobility, but also showed a poor readiness of response to sudden risks, which had a certain impact on all spheres of life of the whole society. The authors have conducted a brief cross-cultural analysis of the issue basing on data quoted by the international network of UNESCO chairs in bioethics, sessions of the Bioethics Committee within the RF Commission on UNESCO affairs, as well as official open sources of the health care system and judicial sphere of the Russian Federation. Strong reciprocal link of legal risks in the interdisciplinary field of medicine and law are made discernable: on the one hand, introduction of sanitary and hygienic regulations (using of personal protection gear, sanitary processing, maintaining social distance, etc.) are aimed at the realization of the right of protecting the health, while on the other hand they represent a violation of basic human rights. Besides the theoretical approach to the problem of the observance of the constitutional rights of citizens in the pandemic conditions there exists a real threat of their violation due to absence of special mechanisms of their realization in frames of sanitary and hygienic measures with regard to the vulnerable and socially disadvantaged sections in the society. It is made conclusion about necessity of the international collaboration for the purpose of joint decision-making and action in the sphere of health care taking into account an international character of ethical and legal challenges triggered by COVID-19 pandemic, as well as national, economic, cultural and confessional peculiarities.

Validation of the saniTracers Sanitation Verification Method from Stainless Steel Environmental Surfaces: AOAC Performance Tested MethodSM 032001.

Effective sanitation of equipment is critical in an integrated food safety system. Existing sanitation verification methods have significant shortcomings that decrease their effectiveness and create an opportunity for novel approaches. This study is intended to validate abiotic bacterial surrogates (saniTracers™) for the rapid verification of solid surface sanitation processes. AOAC validation studies included a pure analyte LOD, matrix studies, inhibition, selectivity, product consistency and stability, instrument variation, and robustness. Stainless steel coupons (4 × 4"), pure or diluted analyte, and Chai qPCR systems were used for those studies. The saniTracers were quantified by qPCR. Average ΔCt values for all matrixes at 50 and 250 ppm sodium hypochlorite sanitation show 3.23 and 11.95, respectively. saniTracers behave similarly in the presence of all matrixes. saniTracers were not inhibited at significant concentrations by any of the sanitizers used. No discrepant results were observed with the robustness study. Lot-to-lot/stability testing demonstrated no differences between the three lots of tests analyzed. saniTracers demonstrated high repeatability and minimal interference from matrix, disinfectant, or microorganisms. The microbial selectivity study indicated a correlation between the removal of pathogens and change in Ct value for saniTracers, following the disinfection process. An average log(cfu) reduction of 4.00 was observed for the three pathogens evaluated, correlating to an average 10.65 Ct change in saniTracers, indicating a correlation in the removal of an average of 0.38 log(cfu) of pathogens per one saniTracer Ct change, following the disinfection process.

Bio-Inspired Algorithms for Preserving the Privacy of Data

Security of the data is also concerned with the privacy of the data since the data or the information can be easily disclosed. Data sharing also plays a key role in security. Recently, patterns are disclosed using associative rule mining and the sensitive information are one of the imposing threats to the security aspects in data mining. Preserving the data as well as the privacy of the user using several PPDM approaches leads to provide authorized access for such sensitive information. The security threats for preserving privacy are provided by developing a sanitization process. The sanitization process is considered to be one of the biggest challenges in the mining of data. In this paper, different approaches such as GA-based and PSO based algorithms are surveyed and analyzed for preserving the privacy of data. The purpose of data sanitization and the use of Bio-Inspired algorithms such as Particle Swarm Optimization (PSO) and Genetic Algorithm (GA) are discussed.

A multi-objective privacy preservation model for cloud security using hybrid Jaya-based shark smell optimization

The rising volume of sensitive and personal data being harvested by data controllers has increased the security essentials in the cloud system. The cloud module is not used just to store the data, but also to process them on cloud premises. Security for the cloud premises is essential as the cloud has lot of outsourced, unprotected sensitive data for the public access. This has resulted repeated data violations, and thus there is a need for the advanced legal data protection constraints. Various studies were conducted to adopt the privacy preservation in the cloud, and most of the state-of-the-art techniques fail to handle the optimal privacy when dealing with sensitive data, as it requires separate data sanitization and restoration models. To overcome this challenge, this paper tempts to develop the privacy preservation model in the cloud environment using the advancements of artificial intelligent techniques. Artificial Intelligent capabilities are working in the business cloud computing environment to make organizations more efficient, strategic, and insight-driven. However, by hosting the data, cloud computing offers businesses high flexibility, agility, and cost savings. The two main phases of the proposed privacy preservation system are the data sanitization and restoration. Moreover, the proposed sanitization process depends on the optimal key generation, which is performed by the hybrid meta-heuristic algorithm. This hybrid algorithm merges two well-performed algorithms, such as Shark Smell Optimization (SSO) and Jaya Algorithm (JA), and thus termed as Jaya-based Shark Smell Optimization (J-SSO). The optimal key generation is accomplished by deriving a multi-objective function that involves the parameters, such as the degree of modification, hiding ratio, and information preservation ratio. Finally, the performance analysis has proved the efficiency of the proposed model over the state-of-the-art models in enhancing cloud security.

Blockchain‐based secure information sharing for supply chain management: Optimization assisted data sanitization process

Currently, the furious competitiveness in global markets and speedy improvements in information technology lead to shorter product life cycles, lesser transportation capabilities, and increased demands as well. In most business scenarios, the supply chain network is becoming one of the most vital focusing areas. In the supply chain network, blockchain technology is a promising solution for secure information sharing. However, it is a bit critical in maintaining security at each level of the blockchain and hence the public–private–key cryptography is more commonly preferred. This study intends to construct a new privacy preservation model in the field of supply chain networks based on blockchain technology by undergoing three major phases, namely, (a) data sanitization, (b) key generation, and (c) restoration. Further, the sensitive fields in the original data are selected during the data sanitization phase, and in the key generation phase; the optimal key is generated to hide the selected sensitive fields. The hidden data with the secured key is transferred from the source (manufacturer) to destination (vendor) in the supply chain network via the blockchain. The restoration process takes place in the receiver side with the help of the same key. Among all these data flow methods, the optimal key selection is the critical issue that needs to be overridden to make the data transmission secured. As a novelty, a new optimization algorithm referred to as Whale with New Crosspoint-based Update (WNU), which is the advanced version of Whale Optimization Algorithm (WOA), is developed here to select the optimal key. Finally, the proposed WNU model is analyzed in terms of Hiding Failure (HF) rate, Information Preservation (IP) Rate, and False Rule generation (FR), and Degree of Modification (DM). The proposed secured information sharing in supply chain management (SCM) with blockchain technology will be validated by comparing it over the traditional models in terms of security as well.

Production and Marketing System of Kampong Chicken in Batang Regency, Central Java, Indonesia

<p><span lang="EN-US">Kampong</span><span lang="EN-US"> chicken is an indigenous chicken that gains popularity among consumers</span><span lang="IN"> and</span><span lang="IN">it has good </span><span lang="EN-US">potentials</span><span lang="EN-US">as a livestock commodity</span><span lang="IN">. But, the problem is </span><span lang="EN-US">most kampong chicken were kept in free range system without any standard of the rearing procedure and time. The farmer</span><span lang="IN">s</span><span lang="EN-US"> will</span><span lang="IN"> sell their chickens</span><span lang="EN-US"> by market’s requests</span><span lang="IN">. </span><span lang="EN-US">T</span><span lang="EN-US">h</span><span lang="IN">e</span><span lang="EN-US"> study aims to determine the agribusiness production and marketing</span><span lang="IN"> sub-system</span><span lang="EN-US"> of </span><span lang="IN">kampong</span><span lang="EN-US"> chickens. A hundred </span><span lang="IN">kampong</span><span lang="EN-US"> chicken farmer</span><span lang="IN">s </span><span lang="EN-US">from 9 sub-districts in Batang</span><span lang="IN"> Regency</span><span lang="EN-US"> were interviewed.</span><span lang="IN"> Respondents were chosen by simple random sampling.</span><span lang="EN-US"> Each f</span><span lang="IN">armer</span><span lang="EN-US"> owned 4-120 kampong chickens with average </span><span lang="IN">number</span><span lang="EN-US"> of </span><span lang="IN">6</span><span lang="EN-US">.76 </span><span lang="IN">heads </span><span lang="EN-US">per farm. The </span><span lang="IN">poultry</span><span lang="EN-US"> production sub-system consisted of six constituent variables, namely administration/bookkeeping, location, maintenance technology, maintenance system, business continuity and sanitation. Each constituent variable produced score of 1.44; 1.75; 1.68; 2.77; 1.55 and 2.03 respectively with the average value of 1.87. These results indicated that the applications of agribusiness</span><span lang="IN"> production</span><span lang="EN-US"> sub-systems were in the </span><span lang="IN">moderate</span><span lang="EN-US"> category. The assessment of the marketing sub-system application included five variables namely marketing scale, marketing objectives, marketing technology, market information and pricing with the following scores 1.52, 1.76, 1.41, 1.85 and 1.18 respectively; or have an average value of 1.54. </span><span lang="IN">This result</span><span lang="EN-US"> show</span><span lang="IN">ed</span><span lang="EN-US"> that the marketing sub-system has </span><span lang="IN">a </span><span lang="EN-US">moderate c</span><span lang="IN">ategory</span><span lang="EN-US">. </span><span lang="IN">Improving the production system </span><span lang="EN-US">which consisted of</span><span lang="IN"> the bookkeeping record, increase the number of rearing</span><span lang="EN-US"> scale</span><span lang="IN"> and sanitation process would improve farm productivity. Increasing marketing systems such as the application of electronic marketing would improve market efficiency. </span><span lang="EN-US">The results show</span><span lang="IN">ed</span><span lang="EN-US"> that the improvement of production and marketing agribusiness sub</span><span lang="IN">-</span><span lang="EN-US">systems </span><span lang="IN">are </span><span lang="EN-US">needed in order to increase farmers’ </span><span lang="IN">income</span><span lang="EN-US">.</span></p>

Estação de tratamento de esgoto compacta para tratamento de efluentes de banheiros químicos: Um estudo de caso sobre eficiência do sistema, em uma obra executada em Bom Jesus das Selvas - MA

O processo de tratamento de efluentes sanitários é um mecanismo que depende da análise de variáveis técnicas e demográficas para a especificação do sistema de tratamento mais adequado à demanda atrelada à eficiência de remoção de carga orgânica requerida e o uso que se pretende dar ao efluente tratado. Dessa forma o objetivo do presente estudo de caso, é avaliar a eficiência de um sistema compacto de tratamento de efluentes sanitários, especificado e implantado, para atender uma demanda bruta com contribuição de 71% dos efluentes gerados em frentes de obras por banheiros químicos, tendo como premissas a implantação de equipamento com característica de tratamento aeróbio, com sistema de lodo ativado. A metodologia utilizada baseou-se no levantamento bibliográfico de referência, com a compilação de dados técnicos dos projetos de engenharia executados e normas associadas, realizando análise das taxas de tratabilidade do sistema, através dos resultados obtidos por laudos de monitoramentos realizados durante o ano de 2015. Como resultados, conseguiu-se observar o enquadramento dos parâmetros pH, temperatura, materiais sedimentáveis, materiais flutuantes, óleos e graxas (minerais e vegetais) dentro dos limites da Resolução CONAMA 430/11, além de atestar a taxa média de redução de 75% para DBO5, ou seja, superior ao valor de 60% estabelecido como referência na supracitada resolução, atestando a eficiência do sistema para tratamento dos efluentes com as características previstas.O processo de tratamento de efluentes sanitários é um mecanismo que depende da análise de variáveis técnicas e demográficas para a especificação do sistema de tratamento mais adequado à demanda atrelada à eficiência de remoção de carga orgânica requerida e o uso que se pretende dar ao efluente tratado. Dessa forma o objetivo do presente estudo de caso, é avaliar a eficiência de um sistema compacto de tratamento de efluentes sanitários, especificado e implantado, para atender uma demanda bruta com contribuição de 71% dos efluentes gerados em frentes de obras por banheiros químicos, tendo como premissas a implantação de equipamento com característica de tratamento aeróbio, com sistema de lodo ativado. A metodologia utilizada baseou-se no levantamento bibliográfico de referência, com a compilação de dados técnicos dos projetos de engenharia executados e normas associadas, realizando análise das taxas de tratabilidade do sistema, através dos resultados obtidos por laudos de monitoramentos realizados durante o ano de 2015. Como resultados, conseguiu-se observar o enquadramento dos parâmetros pH, temperatura, materiais sedimentáveis, materiais flutuantes, óleos e graxas (minerais e vegetais) dentro dos limites da Resolução CONAMA 430/11, além de atestar a taxa média de redução de 75% para DBO5, ou seja, superior ao valor de 60% estabelecido como referência na supracitada resolução, atestando a eficiência do sistema para tratamento dos efluentes com as características previstas.

A hybrid model integrating warm heat and ultraviolet germicidal irradiation might efficiently disinfect respirators and personal protective equipment

BackgroundThe pandemic coronavirus disease 2019 (COVID-19) has taken a heavy toll on human life and has upended the medical system in many countries. The disease has created a system wide worsening shortage of N95, medical masks, and other personal protective equipment (PPE) that is regularly used by healthcare personnel and emergency service providers for their protection.AimConsidering the number of infected patients and the stressed supplies of PPE, reuse of PPE can serve as an efficient contingency plan. Multiple studies have investigated the effect of different decontamination methods.MethodsWe chose the most user-friendly, easily scalable viral decontamination methods, including ultraviolet irradiation and heat treatment. In this paper, we investigated a unique approach to reuse the mask by creating a hybrid model that efficiently sanitizes the infected mask.ResultsThe advantages of the proposed hybrid model as compared to the respective single arms is its decontamination efficacy, operational speed, as well as the number of reuse cycles as verified by mathematical analysis and simulation. This model is mainly intended for medical PPE but can also be used for other domestic and personal sanitization during the COVID-19 pandemic. As per the situation, the hybrid system can be used as standalone systems also. This sanitization process is not only limited to the elimination of Severe acute respiratory syndrome coronavirus 2 but can be extended to any other infectious agents. Thus, our results indicate that the proposed hybrid system is more effective, meets disinfection criterion and time saving for the reuse of respirators and PPE.

N-Sanitization: A semantic privacy-preserving framework for unstructured medical datasets

The introduction and rapid growth of the Internet of Medical Things (IoMT), a subset of the Internet of Things (IoT) in the medical and healthcare systems, has brought numerous changes and challenges to current medical and healthcare systems. Healthcare organizations share data about patients with research organizations for various medical discoveries. Releasing such information is a tedious task since it puts the privacy of patients at risk with the understanding that textual health documents about an individual contains specific sensitive terms that need to be sanitized before such document can be released. Recent approaches improved the utility of protected output by substituting sensitive terms with appropriate “generalizations” that are retrieved from several medical and general-purpose knowledge bases (KBs). However, these approaches perform unnecessary sanitization by anonymizing the negated assertions, e.g., AIDS-negative. This paper proposes a semantic privacy framework that effectively sanitizes the sensitive and semantically related terms in healthcare documents. The proposed model effectively identifies the negated assertions (e.g., AIDS-negative) before the sanitization process in IoMT which further improves the utility of sanitized documents. Moreover, besides considering the sensitive medical findings, we also incorporated state-of-the-art metrics, i.e., Protected Health Information (PHI), as defined in the privacy rules such as Health Insurance Portability and Accountability Act (HIPAA), Informatics for Integrating Biology & the Bedside (i2b2), and Materialize Interactive Medical Image Control System (MIMICS). The proposed approach is evaluated on real clinical data provided by i2b2. On average the detection (for both PHI’s and medical findings) accuracy is improved with Precision, Recall and F-measure score at 21%, 51%, and 54% respectively. The overall improved data utility of our proposed model is 8% as compared to C-sanitized and 25% when comparing it with a simple reduction approach. Experimental results show that our approach effectively manages the privacy and utility trade-off as compared to its counterparts.

PANDEMIC ECONOMICS AND HUMAN CAPITAL

Theoretical regularities between epidemic and sanitary processes that form epidemics and the assessment of human capital are presented. Infections and pathogens are satellites of human evolution, i.e. they form the economic relations and costs of quarantining or eliminating pandemics. In Russia, there is a positive experience of biogeochemical activity, which is enshrined in sanitary rules and regulations. It is proposed to implement strategies for the development of territories taking into account infectious, epidemic and sanitary hierarchies. Quarantine is the principle of building a geospatial platform that includes administrative divisions and agglomerations.

Optimal Key Generation for Data Sanitization and Restoration of Cloud Data: Future of Financial Cyber Security

Cloud security in finance is considered as the key importance, taking account of the aspect of critical data stored over cloud spaces within organizations all around the globe. They are chiefly relying on cloud computing to accelerate their business profitability and scale up their business processes with enhanced productivity coming through flexible work environments offered in cloud-run working systems. Hence, there is a prerequisite to contemplate cloud security in the entire financial service sector. Moreover, the main issue challenged by privacy and security is the presence of diverse chances to attack the sensitive data by cloud operators, which leads to double the user’s anxiety on the stored data. For solving this problem, the main intent of this paper is to develop an intelligent privacy preservation approach for data stored in the cloud sector, mainly the financial data. The proposed privacy preservation model involves two main phases: (a) data sanitization and (b) data restoration. In the sanitization process, the sensitive data is hidden, which prevents sensitive information from leaking on the cloud side. Further, the normal as well as the sensitive data is stored in a cloud environment. For the sanitization process, a key should be generated that depends on the new meta-heuristic algorithm called crossover improved-lion algorithm (CI-LA), which is inspired by the lion’s unique social behavior. During data restoration, the same key should be used for effectively restoring the original data. Here, the optimal key generation is done in such a way that the objective model involves the degree of modification, hiding rate, and information preservation rate, which effectively enhance the cyber security performance in the cloud.