Health information systems (HIS) are facing security challenges on data privacy and confidentiality. These challenges are based on centralized system architecture creating a target for malicious attacks. Blockchain technology has emerged as a trending technology with the potential to improve data security. Despite the effectiveness of this technology, still HIS are suffering from a lack of data privacy and confidentiality. This paper presents a blockchain-based data storage security architecture integrated with an e-Health care system to improve its security. The study employed a qualitative research method where data were collected using interviews and document analysis. Execute-order-validate Fabric's storage security architecture was implemented through private data collection, which is the combination of the actual private data stored in a private state, and a hash of that private data to guarantee data privacy. The key findings of this research show that data privacy and confidentiality are attained through a private data policy. Network peers are decentralized with blockchain only for hash storage to avoid storage challenges. Cost-effectiveness is achieved through data storage within a database of a Hyperledger Fabric. The overall performance of Fabric is higher than Ethereum. Ethereum's low performance is due to its execute-validate architecture which has high computation power with transaction inconsistencies. E-Health care system administrators should be trained and engaged with blockchain architectural designs for health data storage security. Health policymakers should be aware of blockchain technology and make use of the findings. The scientific contribution of this study is based on; cost-effectiveness of secured data storage, the use of hashes of network data stored in each node, and low energy consumption of Fabric leading to high performance.
The article discusses information technology and communication technologies in higher education, which traditionally boil down to two main areas. The first is to use the capabilities of these technologies to increase the accessibility of education, which is carried out by including in the education system those persons for whom another method may not be available at all. It is pointed out that distance learning meets many objections. Her opponents rightly point out that future students are deprived of everything that is required to receive a truly high-quality education: work in laboratories, access to scientific libraries, communication with teachers and other students at seminars and in an informal setting.
In order for the Vehicular Ad Hoc Networks (VANETs) environments to be able to provide such useful road services, large amounts of data are generated and exchanged among the various communicated entities wirelessly via open channels in these vehicular networks. This attracts adversaries and threatens the network with a variety of potential types of security attacks. In this paper, we focus on blockchain-based security schemes while demonstrating the effectiveness of blockchains in the VANET context. Following a thorough introduction to VANET and blockchain, a comprehensive list of security needs, difficulties, and potential threats in vehicle networks is presented. Then, with a thorough comparative assessment of the method- ologies utilized, network models, evaluation tools, and attacks mitigated, a more in-depth review of modern blockchain-based authentication systems in VANETs is offered. Finally, several potential issues with VANET security are presented that will need to be resolved in future studies.
At the present stage of the world economic development, a new economic system is being formed, in which non-economic values, in particular environmental and social parameters, have become widespread. A new vision of economic activity is being formed, which acquires the qualities of Smart-economy. The purpose of this paper is reveal the features of managing the development of smart cities as specific entities of the Smart-economy. New functions of economic entities are formed within the framework of the Smart-economy concept, while their role and weight in the localities' activity or formation have changed. Determining that the key trends in the Smart-economy development are such as digitalization, greening, socialization, institutionalization, and urbanization, this is necessary to note that all these trends are most active in the formation of urban ecosystems. These trends are determined by the general population growth and the urban population growth, which requires considerable attention to planning each city's development itself. Such planning could ensure the comfort of living for all its inhabitants, quality, safe, and modern life. The Smart-city's key elements and the intellectualized approach implementation planes to the decision of these or those tasks are definedIt is determined that a new ecosystem of governance is being formed.
The article considers the features of the organizational-economic mechanism of attracting investment resources in the innovative development of regions in terms of sustainable development. Factors influencing the investment activity of regions in terms of sustainable development, including: institutional structure, intellectual capital, level of innovation infrastructure, business development, financial and credit component, level of human resources development, information environment, production development, environmental component. Factors influencing the attraction of investment resources in the regions are identified. The dynamics of changes in the volume of capital investments and foreign direct investment in Ukraine is analyzed. The regional features of the distribution of capital investments in the conditions of sustainable development are revealed. The essence of the main principles on the basis of which the organizational economic mechanism of attraction of investment resources in innovative development of regions in the conditions of sustainable development should be formed is analyzed. A set of measures to regulate the investment processes of the regions has been identified. The mechanism of attraction of investment resources in innovative development of regions in the conditions of sustainable development is outlined. The results of activity of separate Agencies of regional development for 2020 in the direction of investment and innovation activity and increase of level of investment attractiveness of regions are analyzed. Important prerequisites for the effective implementation of the organizational-economic mechanism for attracting investment resources in the innovative development of regions in terms of sustainable development are identified. The main directions of directing the efforts of the organizational-economic mechanism to ensure the attraction of investment resources in the innovative development of regions in the context of increasing the level of investment activity in the regional aspect are substantiated.
European integration processes have acted as a catalyst for the emergence of a new type of educational environment, which is characterized by competent flexibility of specialists. Therefore, the article focuses on professional training of teachers in the context of European integration processes using information technology and the search for innovative methods of training specialists. One of the educational priorities in Europe is to create a new model of a teacher who has an academic education, knows innovative methods, is able to perform functions and tasks efficiently and professionally, adequately, quickly and correctly respond to changes and innovations. The tasks facing education in the European dimension are formulated. The main trends in the education of teachers in modern Europe are described: the need to deepen and expand subject training programs in pedagogical institutions of Higher Education, which will allow autonomy of activity, awareness of responsibility for independent creative decisions, create favorable conditions for the development of professionalism through the use of Information Technology and the search for innovative methods of training specialists. At the present stage, various models of teacher training are being developed based on the University and practical concept using information technology and searching for innovative methods of training specialists. On this basis, two different theories of perception of teacher education were formed: as preparation of teachers for work throughout their professional career; as preparation for the first years of professional work, which is periodically repeated in the process of continuous professional training and improvement. Among the advantages that the use of Information Technology and the search for innovative methods of training specialists to implement the learning process, it is worth mentioning the following: simultaneous use of several channels of perception of the student or student in the learning process, thanks to which the integration of information processed by different sensory organs is achieved; the ability to simulate complex real experiments; visualization of abstract information by dynamic representation of processes, etc.
The usage of social media platforms has excessively grown over the past decade due to their ease of excess, evolution, and accessibility. This increased usage has proved to be quite advantageous in terms of the benefits of staying connected, sharing posts and ideas, and exchanging thoughts, but it also has its fair share of drawbacks. These drawbacks arise mainly due to a lack of social media usage knowledge among consumers, their problem in understanding and comprehending non-native languages, and false efforts to obtain a response from other people within their community. As a result, of which, fake news, which has no real validity, starts accumulating over time and begins to appear in the feed of every social media consumer causing ambiguity and uncertainty. To sustain the integrity of social media platforms, such news and content must be distinguished from the real one. Recent advances in Artificial Intelligence (AI) and Machine Learning (ML) have accelerated the creation of autonomous systems capable of achieving any desired result in a minimal period. This research proposes a novel approach for detecting fake news. Fake news dataset acquired from online sources is first preprocessed, textual features are extracted based on N-gram methods such as Term Frequency-Inverse Document Frequency (TF-IDF) and Bag of Words (BOW). Latent Dirichlet Allocation (LDA) based topic modeling is also employed on data compilation to derive dominant topics from it which are scaled later on. Finally, the textual features and topic vectors are assessed on standalone ML classifiers Support Vector Machine (SVM), Logistic Regression (LR), and Naive Bayes (NB) and ensemble ML classifiers Random Forest (RF) and Gradient Boost (GB) where results are evaluated based on several performance metrics.
The current research attempts to measure the level of the acceptance of the Blackboard System (BBS) during the Corona crisis, and whether this is one of the reasons for the low use of the BBS at Al-Jouf University. To achieve this, the technology accepting model in the time of crisis (TAMTC) has been proposed to measure the degree of acceptance by students, which was then applied to a random sample of 339 of such. The results show a high level of student acceptance, despite their lower use of the system. The research also highlights the importance of upgrading e-courses and that the discontinuation of exam disqualification of students is secondary to their poor course attendance.
The process of digitalization of Education has been going on for a long time. However, a strong surge of interest occurred during the period of time restrictions on communication related to Covid - 19 and the widespread transition to a completely remote format of interaction between all participants in the educational process. Digitalization has affected all levels of education and direct the activities of students, teachers, administrators or stakeholders. The aim of the study is to analyze the latest trends in distance education and a comparative analysis of the readiness of secondary and higher education to introduce digital distance learning in practice. Methods. The research is based on systematic and comparative analysis, dialectical method, as well as methods of classification and generalization. Special attention is paid to the system-functional approach, which makes it possible to identify and characterize the interrelationships of different levels of educational activity. Results. A logical assessment of the possibilities of the distance education process implemented in digital format for secondary and higher education, as well as corporate training, allowed us to formulate and justify the significance of a number of the most relevant criteria. Conclusions. The justification of each of the presented criteria for evaluating the distance education process implemented in digital format contributed to the identification of problems and shortcomings of online learning, which can serve as a topic for further research in this area.
Detection of fake news is a complex and a challenging task. Generation of fake news is very hard to stop, only steps to control its circulation may help in minimizing its impacts. Humans tend to believe in misleading false information. Researcher started with social media sites to categorize in terms of real or fake news. False information misleads any individual or an organization that may cause of big failure and any financial loss. Automatic system for detection of false information circulating on social media is an emerging area of research. It is gaining attention of both industry and academia since US presidential elections 2016. Fake news has negative and severe effects on individuals and organizations elongating its hostile effects on the society. Prediction of fake news in timely manner is important. This research focuses on detection of fake news spreaders. In this context, overall, 6 models are developed during this research, trained and tested with dataset of PAN 2020. Four approaches N-gram based; user statistics-based models are trained with different values of hyper parameters. Extensive grid search with cross validation is applied in each machine learning model. In N-gram based models, out of numerous machine learning models this research focused on better results yielding algorithms, assessed by deep reading of state-of-the-art related work in the field. For better accuracy, author aimed at developing models using Random Forest, Logistic Regression, SVM, and XGBoost. All four machine learning algorithms were trained with cross validated grid search hyper parameters. Advantages of this research over previous work is user statistics-based model and then ensemble learning model. Which were designed in a way to help classifying Twitter users as fake news spreader or not with highest reliability. User statistical model used 17 features, on the basis of which it categorized a Twitter user as malicious. New dataset based on predictions of machine learning models was constructed. And then Three techniques of simple mean, logistic regression and random forest in combination with ensemble model is applied. Logistic regression combined in ensemble model gave best training and testing results, achieving an accuracy of 72%.
The Saudi Arabian Special Education Regulations define the role and requirements from teaching assistants within the educational process. Although all public special education programs are subject to such regulations, their implementation in practice sometimes appears contradictory. Therefore, special educators frequently encounter a range of problems when they fail to comply with such regulations. This article discusses how teaching assistants influence the teaching practices delivered to students with disabilities in special education settings. A qualitative case study approach was conducted using 22 semi-structured interviews. The results suggest a need to focus on the role of the teaching assistant in special education classes to ensure exposure to effective learning practices for students with disabilities. Based on these findings, a number of important implications for future practice, in terms adopting appropriate provisions are suggested.
Network Mobility Basic Support (NEMO BS) protocol has been accredited and approved by Internet Engineering Task Force (IETF) working group for mobility of sub-networks. Trains, aircrafts and buses are three examples of typical applications for this protocol. The NEMO BS protocol was designed to offer Internet access for a group of passengers in a roaming vehicle in an adequate fashion. Furthermore, in NEMO BS protocol, specific gateways referred to Mobile Routers (MRs) are responsible for carrying out the mobility management operations. Unfortunately, the main limitations of this basic solution are pinball suboptimal routing, excessive signaling cost, scalability, packet delivery overhead and handoff latency. In order to tackle shortcomings of triangular routing and Quality of Service (QoS) deterioration, the proposed scheme (Diff-FH NEMO) has previously evolved for end-users in moving network. In this sense, the article focuses on an exhaustive analytic evaluation at Home Agent (HA) entity of the proposed solutions. An investigation has been conducted on the signaling costs to assess the performance of the proposed scheme (Diff-FH NEMO) in comparison with the standard NEMO BS protocol and MIPv6 based Route Optimization (MIRON) scheme. The obtained results demonstrate that, the proposed scheme (Diff-FH NEMO) significantly improves the signaling cost at the HA entity in terms of the subnet residence time, number of mobile nodes, the number of DMRs, the number of LFNs and the number of CNs.
Modern conditions of the labor market development require the training of specialists in the tourism industry of a new generation who are capable of constantly updating knowledge, using innovative approaches to professional activity, and designing personal growth through non-formal education. The purpose of the study is to analyze the influence of organizational and methodological factors of learning using an educational platform on the personal aspects of passing a massive open online course (MOOC). The article substantiates the relevance of using educational platforms for training specialists in the tourism industry on the MOOCs posted on them. An empirical study of the influence of various characteristics of educational platforms and MOOCs on the interest of specialists in the tourism industry, as well as on the perceived usefulness of using educational platforms to improve their professional level, has been carried out. It has been proved that various organizational and methodological factors of learning using an educational platform have an impact on such personal aspects of the perception of MOOCs by potential listeners as interest in passing MOOCs and the usefulness of MOOCs.
Scholars are paying increasingly close attention to brain research and the creation of biological neural networks, artificial neural networks, artificial intelligence, neurochips, brain-computer interfaces, prostheses, new research instruments and methods, methods of treatment, as well as the prevention of neurodegenerative diseases based on these data. The authors of the study propose their hypothesis on the understanding of the phenomenon of consciousness that answers questions concerning the criteria of consciousness, its localization, and principles of operation. In the study of the hard problem of consciousness, the philosophical and scientific categories of consciousness, and prominent hypotheses and theories of consciousness, the authors distinguish "the area of the conscious mind", which encompasses several states of consciousness united by the phenomenon of integrated consciousness. According to the authors, consciousness is a kind of executor of the phenomenological idea of the "chalice", so the search for it should be conducted deeper than the processes in the power of thought consciousness and transconsciousness, to which integrated consciousness can act as a lever. However, integrated consciousness may have the capacity to transcend into lower states of consciousness, which requires further study.
Public policies are subject to the general strategies and agendas of the state and the enactment of law is subject to the superior laws. This paper will clarify in a practical way how the strategies and agenda of an Islamic state and the superior law (the primary sources of Sharia law) affect the mechanism of enacting laws and creating policies in an Islamic government. Especially, in the field of criminal law.
Component-based software development (CBD) is a methodology that has been embraced by the software industry to accelerate development, save costs and timelines, minimize testing requirements, and boost quality and output. Compared to the conventional software development approach, this led to the system's development being completed more quickly. By choosing components, identifying systems, and evaluating those systems, CBSE contributes significantly to the software development process. The objective of CBSE is to codify and standardize all disciplines that support CBD-related operations. Analysis of the comparison between component-based and scripting technologies reveals that, in terms of qualitative performance, component-based technologies scale more effectively. Further study and application of CBSE are directly related to the CBD approach's success. This paper explores the introductory concepts and comparative analysis related to component-based software engineering which have been around for a while, but proper adaption of CBSE are still lacking issues are also focused.
The reliance on information systems within business in all societies, brings about the need for trust and security in their use. Technology is considered to be the foundation for securing such systems. However, technology alone is not enough, since users make mistakes, both in unwittingly and intentionally, which is why there is a need for well-defined information security awareness policies and practices that reduce the risk of incidents through continual assurance. Culture has been found to play a significant role when implementing awareness strategies, since the impact of information security awareness programmes has varied in their impact, and is influenced by national culture. This paper defines the essential factors that have to be maintained in MiddleEastern organisations in order to implement effective awareness strategies. In considering culture, we present a synthesis of features and components highlighted in the literature. This was supplemented by interviews with experts in information security about attitudes and behaviours among employees in their institutions. Current information security management systems standards were checked for security awareness in their policies. A framework of factors was created by applying thematic analysis to characterise information security awareness. The significant components of the framework were the factors that frame awareness in the light of cultural and environmental perspectives: Knowledge, Attitude, and Behaviour.
The big data term refers to the great volume of data and complicated data structure with difficulties in collecting, storing, processing, and analyzing these data. Big data analytics refers to the operation of disclosing hidden patterns through big data. This information and data set cloud to be useful and provide advanced services. However, analyzing and processing this information could cause revealing and disclosing some sensitive and personal information when the information is contained in applications that are correlated to users such as location-based services, but concerns are diminished if the applications are correlated to general information such as scientific results. In this work, a survey has been done over security and privacy challenges and approaches in big data. The challenges included here are in each of the following areas: privacy, access control, encryption, and authentication in big data. Likewise, the approaches presented here are privacy-preserving approaches in big data, access control approaches in big data, encryption approaches in big data, and authentication approaches in big data.
Today, further education of adults in the UK is one of the developing areas of continuing education. The Open University with distance learning, in the process of which innovative forms and methods based on computer and telecommunication technologies are used, is particularly successful in the organization of additional education of the adult population. The advantages of distance learning, multimedia - the latest information technologies, which provide the combination of graphic images, video, sound with the help of modern computer tools, are noted. The basic principles and forms underlying the technologies and forms of work with the elderly are defined. The international experience of implementing "Universities of the Third Age" is summarized. The most widespread approach in adult education in Great Britain is informational. The use of computer technologies motivates a new paradigm in educational methods and strategies, which requires new approaches, forms of learning, and innovative ways of delivering educational materials to adult learners. Information technologies have gained great popularity in such activities as distance learning, online learning, assistance in the education management system, development of programs and virtual textbooks in various subjects, online search for information for the educational process, computer testing of students' knowledge, creation of electronic libraries, formation of a single scientific electronic environment, publication of virtual magazines and newspapers on pedagogical topics, teleconferences, expansion of international cooperation in the field of Internet education. The information technology of synchronous distance learning "online" has gained considerable popularity in the educational process today. A promising direction is the use of multimedia technologies in educational activities to create a design of a virtual computer environment by decoding audiovisual information.
Strengthening global geopolitical instability in the world leads to an aggravation of international conflicts; it destabilizes the domestic political situation in countries, violates the rights and freedoms of man and citizen, and also activates economic crime. The full-scale invasion of the Russian Federation on the territory of Ukraine and the deployment of military operations in a large territory of a sovereign country have created a number of destabilizing factors in the development of digital technologies and negatively affect the state and trends of digital marketing, which allows establishing interaction with a wide audience and facilitating the search for new customers in various places. The purpose of the research lies in substantiating the theoretical and applied principles for studying the features of digital marketing in the conditions of wartime posture in Ukraine. In the course of the research, general and special methods of economic analysis have been used and applied, namely: analysis and synthesis; analogies and comparisons; generalization and systematization; graphic and tabular methods. Regarding the results of the research of digital marketing in the conditions of wartime posture in Ukraine, it has been established that the intensification of the development of digital marketing is caused by the crisis phenomena of socialeconomic, social-political and military nature, as well as exacerbated by the challenges of the COVID-19 pandemic. It has been proven that highly developed countries use innovative digital technologies more effectively in the field of marketing, which indicates the importance of the Multidimensional Index of Digitization (the USA - MID: 0,92-0,92; the UK - MID: 0,80-0,97; Japan - MID: 0,80-0,88; Canada - MID: 0,78-0,81; Germany MID: 0,78-0,88; France - MID: 0,72-0,76), however, the developing countries record much lower values (Ukraine - MID: 0,22-0,48). Accordingly, the level of cybersecurity in highly developed countries is also significantly higher than in transitive countries, in particular, in the United States (GCI: 0,919-0,999); Great Britain (GCI: 0,783-0,995); Canada (GCI: 0,818-0,978) and in Ukraine (GCI: 0,501-0,661).
