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Securing Hospital Management Systems: Towards Decentralization and Enhanced Security with Smart Contracts
No full textThis study explores the potential for increasing security and efficiency in hospital management systems (HMS) by integrating blockchain technology and smart contracts. Data breaches and illegal access have traditionally of a centralized HMS can jeopardize patient data and overall system security. This research aims to explore solutions to these problems through the automation features of smart contracts and the decentralized nature of blockchain. A comprehensive literature review was conducted from 2016 to 2024 to identify current weaknesses and existing strategies. Additionally, an electronic health record system was developed using Python, Web3, Flask, Ganache, and MetaMask. Solidity was used to make smart contracts. Decentralized testing significantly increased both safety and performance. Systematic reviews were enabled by Knowledge Discovery (KDD) models in databases so that results driven by robust, data-driven convincing of the concept of HMS can benefit from blockchain technology and smart contracts to provide secure and efficient healthcare services. Additional research and commercialization efforts are recommended to address scalability, performance management, and compliance issues
Enhancing Phishing Email Detection with Sentiment Analysis: A Hybrid Approach
No full textIn this digital era, people are surrounded by technology and the internet usage has skyrocketed. This means that there’s more data available on the internet about a particular person than they can dream of. Cybercriminals use these data to launch attacks via emails and try to steal their sensitive information. Phishing is a very common type of attack used by these criminals and they try to attack large organizations in order to obtain ransom from them or to deal with their information. These attacks happening inside an organization through an organizational email has the potential to lead losses in billions. To detect such malicious attempt, this paper proposes a phishing email detection system that can analyse the sentiment behind the email and improve the level of accuracy. We use the DistilBERT model for sentiment analysis and then feed the sentiment aware embeddings to a SVM model for further classification. This proposed study provides steps on how to create a system that can not only check the regual heuristic features and key filters but also the sentiment behind the email which will help improve the overall security
Understanding the impact of Blockchain Technology in shaping future for Business Cyber-Security
No full textThe aim for the study is to understand the impact of Blockchain Technology in shaping future for Business Cybersecurity
Predictive Modelling for Early Detection and Prevention of Ransomware, and Malware Using Machine Learning
No full textIn the digital arena, the growing frequency of ransomware and malware attacks makes efficient detection and mitigating techniques ever more crucial. This study focuses on machine learning techniques for ransomware and virus detection. We want to develop detection models that, with the help of advanced algorithms and preprocessing methods, can correctly identify dangerous software. The Random Forest model outperformed all the other models with high accuracy and F1-score. Other methods like K-Nearest Neighbors (KNN) and Support Vector Machine (SVM) also performed very well the accuracy of KNN was close to one while, using methods such as SMOTE and ADASYN, SVM also exhibited high level of accuracy. Other techniques, such as Recurrent Neural Networks (RNN) and Long Short-Term Memory (LSTM) provided much higher accuracy, 99. As for instance, SMOTE achieved an average accuracy of 98% confirming its capacity for handling data despite having been synthesized for sequential pattern data. Logistic Regression was the most accurate with a percentage of 93.83%. These findings demonstrate the effectiveness of sophisticated machine learning models in the detection of malware and ransomware. The solution that we have made is a response system. When this system is deployed into any kind of environment it will help in monitoring the system. In that the API can be integrated to any enterprise server. This response system monitors in such a way that the solution can generate the log files of the intrusions or suspicious activity in the form of malware or ransomware
Biometric data security using Homomorphic encryption
No full textIn the modern tech world, biometric authentication technologies have become more and more common in a number of sectors, including mobile devices, banking, healthcare, and border control. However, there are serious security and privacy risks associated with the increasing reliance on biometric data. This is because biometric data is computed in raw formats on third-party cloud servers, creating privacy hazards as well as possibilities of illegal access to sensitive personal information. This paper explores the use of homomorphic encryption (HE) to safeguard user privacy and facilitate cloud-based computations on biometric data. Since cloud-based biometric authentication is becoming popular, it is necessary to handle this sensitive data securely. This study bridges the gap by designing a tailored HE algorithm that is perfect for biometric computations on cloud platforms. To find out how well our strategy maintains accuracy and privacy, we will compare it with other existing approaches. The primary feature of this encryption is that any kind of computation can be performed on encrypted data without changing its original format. The expected result is an observably secure and effective HE-based system for biometric calculations in the cloud, which will promote a wider usage of cloud authentication that preserves privacy
Exploring Emotional Intelligence In The Hospitality Industry: Effects On Customer Satisfaction and Employee Performance
No full textThe purpose of this research was to examine the relationship between emotional intelligence (EI) and the influence on customer satisfaction and performance of employees within the context of the hospitality sector. Using qualitative research methodology and especially conducting interviews, the research describes how EI impacts various functions of hospitality management. This research suggests that increased levels of EI among members of the organization positively impacts the effectiveness of services, customers’ satisfaction, and the organizational environment. Overall, this study contributes to the knowledge of EI in the hospitality environment by underlining its importance in the context of the improvement of interpersonal relations and efficient work of all employees. It also presents several limitations as the research sample is quite small and there is a lack of cultural diversity in most of the cases. Implications for future research include expanding the sample diversity and focusing on different roles within the hospitality industry. Recommendations for the industry include creating a sturdy framework for EI learning and improvement as well as including EI in leadership training and conducting routine assessment of EI.
Authorities should recommend and prescribe standards for EI training providers aiming to set requirements for establishing quality and safe relations at the work environment across the sector. Thus, to foster employees’ happiness and maintain their high level of engagement, it is crucial to focus on aspects of EI and constant improvement of the results of assessment and overall performance of the hospitality organizations.
In conclusion, it can be stated that this research has established a great importance of EI in enhancing the level of customer satisfaction as well as the performance of employees in the context of the hospitality sector. It outlines an agenda for further research on the topic and possible interventions to improve employees’ EI to benefit organizational development in the sector of services
The Impact of Artistic Practices on Entrepreneurship and Innovation in Small Creative Enterprises in Turkey: A Comprehensive Review
No full textThis dissertation aims to examine how artistic practices influence innovation and entrepreneur in small creative firms in Turkey. The research method of the study is qualitative and the data is collected through purposive interviews with selected informants such as business persons, artists, and other professionals in the cultural industries. Research findings suggest that the application of art leads to the improvement of product differentiation and market competition. The inclusion of arts in business plans and solutions helps in creating new ideas and teamwork; the barriers include limited resources, lack of market knowledge, and the blending of the modern and the conventional. The study also pinpoints cultural background and the active artistic life in Turkey as the primary motivators of creativity. Some of the policy suggestions include financial incentives, strong protection of intellectual property rights, and export promotion policies. The educational reforms should ensure that arts and business courses are combined with the aim of nurturing the future business leaders. The study highlights the need for integration and cooperation between various sectors and the formulation of appropriate policies for sustainable development of the creative industries. This study advances the theoretical knowledge of art and entrepreneurship and provides recommendations for policymakers and educational institutions
The professional immigrants’ potential and their connection with the dynamics of entrepreneurship in Ireland: From policy to practice, case study in Dublin
No full textNowadays, migration is part of the daily processes that a society undergoes and represents one of the many ways in which it is transformed. For some countries, the phenomenon of immigration can be a problem that generates social rejection or discrimination, but for other nations, it can be an opportunity to be used in favour of the development of a people. The Republic of Ireland is one such case, where immigration is part of its domestic policy, which adapts to global economic, social, political and environmental dynamics.
This research aims to determine the relationship and influence between the phenomenon of immigration in Ireland and the existing opportunities for employment, entrepreneurship and intrapreneurship, as well as the challenges faced by professional immigrants in successfully accessing these opportunities. To this end, the mixed research method was used, both qualitative and quantitative, with a greater predominance of the former, to collect and analyse the information from the different perspectives of the actors who were the object of the research.
In order to resolve the research questions, it was decided to work with the semi-structured interview model, with the aim of analysing, from the narrative of the people's own experiences, the whole process of immigration, access to opportunities and the connection of skills with the requirements of the market. Additionally, it was established to complement the study with the survey tool, in order to statistically support (from descriptive statistics and some correlational studies) the qualitative analyses, identifying patterns and trends. The target audience have been defined to professional migrants between 20 and 35 years old, living in Dublin, either as students or graduates.
This research found a strong tendency for migrants to have a negative perception of the challenge of integrating professionally into Irish society, in terms of documentation, recognition of qualifications, networking and a clear route to accessing entrepreneurial opportunities. With 80% of the sample either unaware or unclear about government policy and support, this makes it even more complex. Although there is progress in terms of policies for the coming years, the feeling is that it is difficult to integrate the immigrant professional population in Ireland.
Finally, after the analysis of all the information and considering the limitations of the study, a series of recommendations are put forward for the actors involved in this issue and to promote a better articulation with the current policies, plans and strategies of the Irish Government and to establish the challenges in terms of entrepreneurship, for the professional migrant population in Ireland in the coming years
Optimizing P2P Payment Systems for Privacy and Accessibility in Tourism Sharing Economy
No full textThe sharing economy has transformed the tourism sector by providing cost-effective and personalized experiences, yet the rapid expansion of peer-to-peer (P2P) platforms has raised critical concerns about privacy and accessibility. This study addresses these issues by proposing a comprehensive framework integrating blockchain technology for privacy preservation and credit networks to enhance accessibility in P2P payment systems. The research encompassed a thorough literature review, framework development, and proposed a phased implementation strategy, including a pilot phase, scaled-up deployment, and full-scale simulation
Exploring Conventional Banks and E-commerce Synergies in Jakarta, Indonesian Financial Landscape
No full textIn the evolving landscape of the banking industry, traditional banks are facing challenges in adapting to rapid technological changes and shifting consumer preferences. The collaboration between conventional banking and e-commerce has emerged as a crucial strategy to enhance customer experience by improving operational efficiency, expanding market reach, and increasing customer satisfaction. While e-commerce offers benefits such as global market access and lower operating costs, challenges such as cybersecurity and data protection must be addressed to maximize its potential. The aim of this research is to examine the variables that influence the customer experience in Indonesian traditional banking and e-commerce partnerships by incorporating the (TAM) Technology Acceptance Model to elucidate the aspects that substantially effect the customer experience. The Confirmatory Factor Analysis (CFA) approach was used in this study's factor analysis to create a structural model for analysis and to ascertain the relationships between the factors, then finalise with regression and random forest to predict the significancy of each factor. The study examines the factors influencing customer experience in Indonesia through the lens of the (TAM) Technology Acceptance Model. Confirmatory Component Analysis (CFA) confirms strong correlations between the variables, indicating a well-fitting model. The analysis reveals that perceived usefulness (E-commerce Effect), ease of adoption (Readiness to Adopt), and trust in the system (Security of Banking System) are key drivers of customer experience. Regression and Random Forest models show that these factors significantly impact customer satisfaction, highlighting the importance of system security alongside the benefits and ease of using digital financial innovations collaboration in enhancing customer experience