Data Security Measures Research Articles

A Comprehensive Study on the Use of Blockchain Technology in Healthcare

Blockchain technology has emerged as a potential solution to improve healthcare services by offering secure, transparent and efficient management of healthcare data. The paper presents an overview of the applications, benefits, challenges and recommendations for using Blockchain technology in healthcare. A systematic literature review has been conducted to identify relevant articles published in recent years, using the PRISMA framework to ensure methodological rigor. The review has revealed that Blockchain technology can be used in various healthcare applications, including data management, drug supply chain management, clinical trials, medical record keeping, and telemedicine. Blockchain technology offers several benefits in healthcare, such as secure and efficient data sharing, real-time access to patient data, improved patient outcomes, and lower costs. However, the adoption of Blockchain technology in healthcare also presents some challenges, such as regulatory barriers, interoperability issues, data privacy and security concerns, and technical limitations. To overcome these challenges, recommendations are provided, including developing a regulatory framework, addressing interoperability issues, implementing robust data privacy and security measures, and investing in Blockchain technology research and development.

Importance of Data Security and Privacy Compliance

Abstract: In an era characterized by an unprecedented proliferation of digital information, the safeguarding of sensitive data has emerged as a paramount concern for individuals, businesses, and governments alike. This abstract delves into the critical importance of data security and privacy compliance in contemporary society. As technological advancements continue to redefine the landscape of data generation, collection, and utilization, the potential risks and vulnerabilities associated with unauthorized access and misuse of information have escalated. This paper highlights the multifaceted significance of data security and privacy compliance across various domains. Firstly, it explores the imperative of protecting personal information to uphold individual privacy rights and maintain public trust. The escalating frequency and sophistication of cyber threats underscore the necessity for robust data security measures to thwart unauthorized access, data breaches, and identity theft.

Enhancing Brain Tumor Segmentation Accuracy through Scalable Federated Learning with Advanced Data Privacy and Security Measures

Brain tumor segmentation in medical imaging is a critical task for diagnosis and treatment while preserving patient data privacy and security. Traditional centralized approaches often encounter obstacles in data sharing due to privacy regulations and security concerns, hindering the development of advanced AI-based medical imaging applications. To overcome these challenges, this study proposes the utilization of federated learning. The proposed framework enables collaborative learning by training the segmentation model on distributed data from multiple medical institutions without sharing raw data. Leveraging the U-Net-based model architecture, renowned for its exceptional performance in semantic segmentation tasks, this study emphasizes the scalability of the proposed approach for large-scale deployment in medical imaging applications. The experimental results showcase the remarkable effectiveness of federated learning, significantly improving specificity to 0.96 and the dice coefficient to 0.89 with the increase in clients from 50 to 100. Furthermore, the proposed approach outperforms existing convolutional neural network (CNN)- and recurrent neural network (RNN)-based methods, achieving higher accuracy, enhanced performance, and increased efficiency. The findings of this research contribute to advancing the field of medical image segmentation while upholding data privacy and security.

Digital Transformation in University: Enterprise Architecture and Blockchain Technology

Implementing digital transformation in higher education is now required for effective adaptation to rapid technological advances. Utilizing Enterprise Architecture (EA) with blockchain technology is a recommended strategic approach for implementing digital transformation. The college first ascertains the University's digital transformation requirements and goals, which include data management, security, operational efficiency, and transparency. In addition, formulating a strategic plan to determine the optimal integration of blockchain technology within the college's architectural framework, including the judicious selection of the most suitable blockchain platform, is essential. In addition, developing a company's architecture must prioritize seamless integration with existing systems while upholding data security and consistency principles. Consideration should be given to the significance of training and awareness building among faculty and students. In addition, the implementation process must be conducted in phases with consistent monitoring and evaluation. The success of this project is contingent upon the formation of partnerships and collaborations with blockchain technology companies, as well as a thorough understanding of the applicable regulatory framework. By adopting this methodology, the University can increase operational efficiency, bolster data security measures, and improve the educational experience. This research aims to increase efficiency, data security, transparency, and educational innovation in universities using Blockchain Technology and University Enterprise Architecture.

Leverage Artificial Immune Algorithm to Maintain Data Integrity

Abstract: Robust and efficient data security measures are of the utmost importance given the growing reliance on digital technologies. I recommend developing a simulated security testing platform using artificial immune algorithms to improve data security in response to the needs of the user. This software provides the capacity to simulate different cyber-attacks, making it easier to assess the efficacy of different safeguards. The platform may adapt to these attacks and learn from them by utilizing the strength of artificial immune mechanisms, increasing its resistance to threats in the future. I acquired beneficial expertise in software development, algorithm design, and data security as a result of my active participation in this project. I'm thrilled to share this study as a proof of my abilities and unwavering commitment to the data security area. The suggested approach makes use of Python-based machine learning techniques, and adds HTML, CSS, and JS for the user interface. The suggested approach also includes a user-friendly interface built using HTML, CSS, and JS, making it easier to integrate with present systems.

The significance of general data protection regulation in the compliant data contribution to the European Society of Thoracic Surgeons database.

The General Data Protection Regulation (GDPR), enacted in the European Union in 2018, has significantly transformed the landscape of personal data management and protection. This article provides an overview of GDPR's impact, focusing on its applicability, fundamental principles and influence on data management practices, particularly within the European Society of Thoracic Surgeons (ESTS) database. GDPR's reach extends to all entities collecting and processing personal data of European Union residents, regardless of their location. It encompasses various data types, emphasizing meticulous handling and protection of identifiable information. Special categories of data, such as health and sensitive attributes, require even more stringent protection. The regulation sets legal, fair and transparent data processing principles, emphasizing accuracy, purpose limitation and data minimization. It also stresses accountability, leading to the appointment of Data Protection Officers and significant penalties for non-compliance. The ESTS database, designed to enhance thoracic surgical research and care, collects data on European procedures. It follows GDPR principles by pseudonymizing data, ensuring secure data transmission and providing clear instructions for data submission. The database contributes to research, policymaking and practice improvement in thoracic surgery by offering a comprehensive dataset for analysis. Here, we aim to shed light on the complexities of GDPR implementation and emphasize the need for comprehensive data management strategies to ensure compliance and enhance privacy protection with the contribution to the ESTS database. GDPR compliance comes with challenges, including potential human dignity and privacy rights violations. Data breaches can result in unauthorized disclosures, and non-compliance can lead to substantial fines and reputational damage. The implementation of GDPR encourages organizations to prioritize ethical data practices, security measures and transparent data handling. In conclusion, GDPR has revolutionized personal data protection by emphasizing accountability, transparency and individual rights. It has impacted organizations globally, promoting responsible data management practices. Adhering to GDPR ensures privacy protection, trust-building and overall enhancement of data management in today's data-driven environment.

Development of a Health Information System for Primary Care Dental Practice

The health information systems (HIS) have become increasingly important in dental practice as they offer benefits such as improved quality of care, increased efficiency, and reduced medical errors. The development of an HIS for primary care dental practice involves several steps, including requirements gathering, system design, implementation, and testing. Dental professionals and staff members must be consulted to identify their needs and preferences for HIS implementation. The system must be designed to be user-friendly and intuitive to ensure ease of use and efficiency. Successful implementation requires the proper consideration of data privacy and security measures. This literature review highlights the benefits of HIS in dental practice and provides real references to studies that have investigated the effectiveness of HIS implementation. The development of an HIS for primary care dental practice can improve patient care and outcomes and enhance the overall efficiency of dental practices.

CUSTOMER BEHAVIOR ANALYSIS THROUGH DATA ANALYTICS IN THE BANGLADESHI RETAIL INDUSTRY

This qualitative study aims to investigate the state of customer behavior analysis in the Bangladeshi retail industry, with a particular focus on the role of data analytics. The research seeks to explore the current practices, challenges, opportunities, and best strategies employed by retailers in understanding and responding to customer behavior. The Bangladeshi retail industry has witnessed substantial growth driven by factors such as economic development, urbanization, and evolving consumer preferences. In this evolving landscape, retailers increasingly rely on data analytics to gain valuable insights into customer behavior, optimize business operations, and enhance customer experiences. Understanding customer behavior is vital for retailers to tailor their strategies to meet the ever-changing needs and preferences of Bangladeshi consumers. This study employs qualitative research methods, including in-depth interviews with key stakeholders in the Bangladeshi retail industry. The sample size comprises 40 participants, and data analysis involves a thematic approach. The study explores the current state of customer behavior analysis, challenges, opportunities, best practices, and strategies related to data analytics within the retail sector. The findings reveal a growing integration of data analytics in customer behavior analysis, with retailers utilizing various data sources such as point-of-sale data, online transactions, and customer surveys. Challenges include data security concerns and the need for skilled data analysts, while opportunities encompass improved customer retention, enhanced personalization, and more effective marketing campaigns. Best practices emphasize fostering a data-driven culture, collaborating with external data analytics experts, and continuous staff training. The study’s insights have implications for the Bangladeshi retail industry, highlighting the transformative potential of data analytics in adapting to evolving customer preferences and remaining competitive. Recommendations include clear objective setting, investment in data security measures, and the pursuit of external expertise when needed.

Exploring the Landscape of Data Analysis: A Review of Its Application and Impact in Ecuador

Data analysis is increasingly critical in aiding decision-making within public and private institutions. This paper scrutinizes the status quo of big data and data analysis and its applications within Ecuador, focusing on its societal, educational, and industrial impact. A detailed literature review was conducted from academic databases such as SpringerLink, Scopus, IEEE Xplore, Web of Science, and ACM, incorporating research from inception until May 2023. The search process adhered to the PRISMA statement, employing specific inclusion and exclusion criteria. The analysis revealed that data implementation in Ecuador, while recent, has found noteworthy applications in six principal areas, classified using ISCED: education, science, engineering, health, social, and services. In the scientific and engineering sectors, big data has notably contributed to disaster mitigation and optimizing resource allocation in smart cities. Its application in the social sector has fortified cybersecurity and election data integrity, while in services, it has enhanced residential ICT adoption and urban planning. Health sector applications are emerging, particularly in disease prediction and patient monitoring. Educational applications predominantly involve student performance analysis and curricular evaluation. This review emphasizes that while big data’s potential is being gradually realized in Ecuador, further research, data security measures, and institutional interoperability are required to fully leverage its benefits.

Advancing Enterprise Data Strategies: Integration and Optimization of SAP HANA for Backup and Disaster Recovery

This research paper delves into the integration and optimization of SAP HANA, in enterprise data centers with a focus on strategies to ensure backup and disaster recovery (DR). SAP HANA, which is an in memory database brings about a transformation in how data's stored and processed. It offers real time analytics, predictive modeling and advanced analytics capabilities. The paper discusses the utilization of SAP HANA in both on premise and cloud environments while highlighting the need to strike a balance between speed, scalability and challenges such as data security and system integration. Emphasizing the importance of backup and DR protocols it underscores their role in protecting data integrity and ensuring uninterrupted business operations even during high risk situations. Through exploration of methods and technologies for backup and recovery this study aims to enhance efficiency in handling data within the realm of SAP HANA. By shedding light on implications related to deployment of SAP HANA – regarding data security measures and operational resilience – this research contributes to the ongoing discourse surrounding, in memory databases within enterprise settings.

디지털 치료기기 관련 법제 동향과 시사점

With the development of the digital healthcare sector, the software itself has now become a medical device. Digital Therapeutics(DTx) are defined as “providing evidence-based treatment interventions driven by high-quality software programs to prevent, manage, or treat medical disorders or diseases.” With the spread of digital therapeutics(DTx), major countries are expanding government-level support and investment, and overhauling related laws.
 This study examined the current status of domestic and foreign digital therapeutics and identified related laws and regulatory trends. Based on this, domestic legal and institutional improvement measures were proposed.
 According to the results of the study, major countries, including Korea, defined medical devices based on the Medical Device Act and regulated medical devices by classifying them according to the degree of risk.
 In the case of digital therapeutics, they are classified into low-risk grades and stipulate processes such as licensing and test evaluation of devices. In addition, a separate fast track was applied or the digital therapeutics was supported with individual guidelines. However, for the safe development of digital therapeutics in the future, it is necessary to systematically reorganize the regulations of digital therapeutics by reflecting the core contents of the guidelines in the law or enacting separate laws.
 In addition, the compensation method and level for the application of the health insurance system should be improved. In other words, doctor fees and patient compensation methods should be considered by reflecting the characteristics of digital therapeutics. Various discussions are needed in consideration of health insurance finance issues.
 Finally, due to the nature of digital therapeutics, it is necessary to strengthen data security measures and establish a management system for this.

Recent Advances of Artificial Intelligence in Healthcare: A Systematic Literature Review

The implementation of artificial intelligence (AI) is driving significant transformation inside the administrative and clinical workflows of healthcare organizations at an accelerated rate. This modification highlights the significant impact that AI has on a variety of tasks, especially in health procedures relating to early detection and diagnosis. Papers done in the past imply that AI has the potential to increase the overall quality of services provided in the healthcare industry. There have been reports that technology based on AI can improve the quality of human existence by making life simpler, safer, and more productive. A comprehensive analysis of previous scholarly research on the use of AI in the health area is provided in this research in the form of a literature review. In order to propose a classification framework, the review took into consideration 132 academic publications sourced from scholarly sources. The presentation covers both the benefits and the issues that AI capabilities provide for individuals, medical professionals, corporations, and the health industry. In addition, the social and ethical implications of AI are examined in the context of the output of value-added medical services for decision-making processes in healthcare, privacy and security measures for patient data, and health monitoring capabilities.

Prioritizing Personal Data Protection in Insurance Organizations

This literature review focuses on the importance of prioritizing personal data security in insurance organizations in the context of Web 2.0 and the fourth industrial revolution. With the increasing use of digital transactions and data sharing, there is a need for improved data security postures to mitigate vulnerability issues. Personal data is a valuable asset that is targeted by malicious individuals, which highlights the importance of establishing proactive and trustworthy security frameworks. The study evaluates the security threats associated with the collection, processing, storage, and retention of personal data in insurance organizations, and examines the legal and technical provisions for its protection. Through an analytical review methodology, this paper highlights the urgent need to establish robust data security measures to ensure that personal data is secure when held in the custody of insurance organizations and personal management information systems.

AGRICULTURE 4.0: IMPACT AND POTENTIAL CHALLENGES OF BLOCKCHAIN TECHNOLOGY IN AGRICULTURE AND ITS MANAGEMENT

Information technology can be used to make the best use of things like water, fertilizer, and pesticides in agriculture. Farmers can make better decisions about how to use their resources, reduce waste, and have less of an effect on the environment by using sensor-based monitoring, data analysis, and precision farming techniques. Information technology can make the agricultural supply chain more open, so that consumers and other stakeholders can find out where agricultural products come from and how they are made. The authors looked at articles that had been published in journals before and gave up-to-date information about how blockchain technology could affect agriculture and how it is run. The authors did a descriptive narrative evaluation of how blockchain technology affects agricultural business. They looked at the challenges and benefits of blockchain technology in agriculture. The writing process took four months (between January 2023 and April 2023). We searched databases such as PubMed, Z-library, Publons, Medline, JSTOR, and Google Scholar and obtained original and review articles published in various journals, textbooks, and review papers. Conclusively, one of the primary challenges in agricultural business management is ensuring that farmers, especially those in remote or economically disadvantaged areas, have access to the necessary technology. This includes access to affordable hardware, software, and internet connectivity. Unequal access to technology can result in a digital divide, where some farmers are unable to take advantage of the benefits of information technology in agriculture. This review demonstrated that farmers and agribusinesses need to implement robust data privacy and security measures to protect their information from cyber threats and ensure compliance with relevant data protection regulations.

The Role of Accounting Digitization in Entrepreneurial Success in West Java : Quantitative Study of Efficiency, Accuracy, Cost Reduction, Customer Satisfaction, and Data Security

The aim of this study was to investigate the role of accounting digitization in entrepreneurial success in West Java. A quantitative research approach was used, and data were collected from 250 small and medium-sized enterprises (SMEs) using a structured questionnaire. The study analyzed the impact of accounting digitization on efficiency, accuracy, cost reduction, customer satisfaction, and data security using Structural Equation Modeling (SEM) with Smart PLS software. The results of the study showed that accounting digitization has a significant positive impact on all five constructs. Specifically, the use of accounting digitization tools improves the efficiency and accuracy of accounting processes, leading to cost savings and increased customer satisfaction. Additionally, data security measures are crucial to protect sensitive financial information. The study highlights the importance of government support and policies that encourage the adoption of accounting digitization by SMEs in West Java. This can help SMEs to remain competitive in the global market, increase productivity, and create more job opportunities. However, the study has some limitations, such as the focus on only one region and the use of a quantitative research approach. Future research can use a qualitative research approach to gain more in-depth insights into the experiences and perceptions of SME owners and managers regarding accounting digitization.

Exploring the Potential of Big Data Analytics in Improving Library Management in Indonesia: Challenges, Opportunities, and Best Practice

This column aims to explore the potential of big data analytics in improving library management in Indonesia and identify the challenges, opportunities, and best practices for libraries when applying big data analytics. Using of literature review of published studies, this column examines the current state of big data analytics in library management in Indonesia and provides recommendations, including a SWOT analysis, for implementing big data analytics in operations. It also highlighted several challenges such as limited resources, limited access to technology and digital literacy among librarians, and limited data security measures which could put sensitive patron data at risk.

Online cheaters: Profiles and motivations of internet users who falsify their data online

The digital environment, which includes the Internet and social networks, is propitious for digital marketing. However, the collection, filtering and analysis of the enormous, constant flow of information on social networks is a major challenge for both academics and practitioners. The aim of this research is to assist the process of filtering the personal information provided by users when registering online, and to determine which user profiles lie the most, and why. This entailed conducting three different studies. Study 1 estimates the percentage of Spanish users by stated sex and generation who lie the most when registering their personal data by analysing a database of 5,534,702 participants in online sweepstakes and quizzes using a combination of error detection algorithms, and a test of differences in proportions to measure the profiles of the most fraudulent users. Estimates show that some user profiles are more inclined to make mistakes and others to forge data intentionally, the latter being the majority. The groups that are most likely to supply incorrect data are older men and younger women. Study 2 explores the main motivations for intentionally providing false information, and finds that the most common reasons are related to amusement, such as playing pranks, and lack of faith in the company's data privacy and security measures. These results will enable academics and companies to improve mechanisms to filter out cheaters and avoid including them in their databases.

Current status and future prospects of the Japanese orthopaedic association national registry (JOANR), Japan's first national registry of orthopaedic surgery

The Japanese Orthopaedic Association National Registry (JOANR) is Japan's first national registry of orthopaedic surgery, which has been developed after having been selected for the Project for Developing a Database of Clinical Outcome approved by the Health Policy Bureau of the Ministry of Health, Labour and Welfare. Its architecture has two levels of registration, one being the basic items of surgical procedure, disease, information on surgeons, surgery-related information, and outcome, and the other being detailed items in the affiliated registries of partner medical associations. It has a number of features, including the facts that, because it handles medical data, which constitute special care-required personal information, data processing is conducted entirely in a cloud environment with the imposition of high-level data security measures; registration of the implant data required to assess implant performance has been automated via a bar code reader app; and the system structure enables flexible collaboration with the registries of partner associations. JOANR registration is a requirement for accreditation as a core institution or partner institution under the board certification system, and the total number of cases registered during the first year of operation (2020) was 899,421 registered by 2,247 institutions, providing real-world evidence concerning orthopaedic surgery.

Integrating Blockchain Technology into Traditional Point of Sale (POS) Software to Secure Transactions

This scholarly article examines how traditional Point of Sale (POS) software systems in the retail sector can be revolutionized by incorporating blockchain technology. The study aims to improve transactional security using transparent and decentralized mechanisms to re-architect crucial point-of-sale infrastructure. This study tackles issues with fraud, data integrity, and security in retail transactions by utilizing the capabilities of blockchain technology, including smart contracts and distributed ledgers. Choosing the right blockchain platform, putting strong data security measures in place, and ensuring smooth integration with current systems are all essential aspects of the investigation. By strengthening POS systems with blockchain technology, this project aims to reimagine retail transactions in the future altogether

Global Trends in Information Governance & Data Protection

This presentation discusses the top legal and regulatory issues affecting information governance and data privacy and security measures being implemented or expanded in the United States and European Union. This presentation provides valuable insights to startups and existing telemedicine providers and digital health technology companies seeking to understand strategic planning to optimize market success and maintain regulatory compliance. 
 Key Topics / Learning Points
 
 Policy trends in the United States and recently enacted state privacy laws 
 Practical insights and recommendations to compliance with GDPR or local privacy rules
 Flexibilities applied during the pandemic to ensure access to safer health care
 Pending legislation impacting information governance and data protection
 Access and use of individually identifiable information in clinical trials and research