Data Security Aspects Research Articles

Kepastian Hukum Notaris Menerapkan Cyber Notary Dalam Verlidjen Akta Notaris Secara Digital

The vagueness of legal norms or vague norms in the UUJN, especially Article 15 paragraph (3), affects the implementation of notary authority in the digital era. This ambiguity has the potential to cause problems, especially in the inconsistency between Article 16 paragraph (1) letter m of the UUJN and Article 15 paragraph (3) of the UUJN, which creates a conflict between the obligations and authorities of notaries in making deeds face to face or in person. The purpose of this study is to ensure legal certainty in making notarial party deeds digitally and how the impact of the implementation of cyber notary in Indonesia in making party deeds regarding signing and reading face to face online. This study uses a normative legal research method with a statute-approach and comparative-approach, as well as qualitative analysis. Data were collected through literature studies from primary, secondary, and tertiary legal sources. The conclusion of the study emphasizes the need for clear and comprehensive legal regulations to regulate the use of digital technology in making notarial deeds, including a strong security system and appropriate notary authorization. An important requirement in making an authentic notarial deed is the reading and signing of the deed, which can be done electronically through media such as video conference. Electronic signature or digital signature, it is expected that the making of a notarial deed digitally can be realized with legal certainty guaranteed through harmonization of laws and regulations. The impact of using cyber notary includes ease of access, process efficiency, time flexibility, cost reduction, document security, and regulatory adjustments. Overall, notaries have an important role in non-governmental public services, and the use of technology in making deeds digitally can be an efficient and practical alternative in supporting legal certainty. However, attention is needed to aspects of data security and regulations that are in accordance with technological developments in the digital era. Keywords: Notary; Cyber Notary; Verlidjen

Enhanced Agricultural Financial Services through Cloud Computing: A New Paradigm of Security and Efficiency

The agricultural sector has long faced significant challenges in accessing efficient and secure financial services, hindering its growth and sustainability. This study investigates the transformative potential of cloud computing in enhancing agricultural financial services, with a particular focus on improving security and operational efficiency. Through a comprehensive literature review and the development of a multi-dimensional security framework, the research explores the integration of cloud technologies in agricultural finance. The framework addresses physical, network, application, and data security aspects, tailored to the unique challenges of rural environments. A detailed case study of AgriBank’s implementation of a cloud-based agricultural financial services platform provides empirical evidence of the benefits and challenges associated with this technological shift. The results demonstrate substantial improvements in key performance indicators, including a significant reduction in loan processing time, enhanced credit risk assessment accuracy, and a notable increase in the agricultural loan portfolio. The study also highlights the importance of addressing rural-specific issues such as intermittent connectivity and varying levels of digital literacy. The findings contribute to the growing body of knowledge on financial technology applications in agriculture and offer valuable insights for policymakers and financial institutions seeking to leverage cloud technology to enhance their agricultural finance capabilities. This research underscores the potential of cloud computing to foster greater financial inclusion, promote sustainable agricultural development, and ultimately contribute to global food security.

IoT Innovation in Hospitality: A Comprehensive Technical Analysis of Implementation and Impact

This comprehensive technical article analysis explores the transformative impact of Internet of Things (IoT) implementation in the hospitality industry, focusing on key applications, challenges, and future trends. The article examines how leading hotel chains have leveraged IoT technologies to enhance guest experiences, optimize operations, and advance sustainability initiatives. Through detailed case studies of Marriott International, Hilton Hotels, and InterContinental Hotels Group (IHG), the article demonstrates the practical applications of smart room technologies, predictive maintenance systems, energy management solutions, and security implementations. The article analysis encompasses the technical infrastructure requirements, integration challenges, and cost-benefit considerations of IoT deployment in hospitality settings. The article provides insights into how IoT solutions contribute to improved guest satisfaction, operational efficiency, and environmental sustainability while addressing critical aspects of data security and system integration. Furthermore, it explores the convergence of IoT with artificial intelligence and sustainable technologies, offering a forward-looking perspective on the evolution of smart hospitality systems and their potential to revolutionize the industry

Research on Informatization and Intelligent Transformation of Financial Management in Financial Enterprises

This paper focuses on the financial management information and intelligent transformation of financial enterprises. Based on the analysis of the characteristics and challenges of financial management in financial enterprises, this paper expounds the application status of information technology and intelligent technology in financial management, and analyzes the driving factors of the transformation of information technology and intelligent financial management. At the same time, this paper focuses on the application of big data, artificial intelligence, blockchain and other key technologies in financial data processing, decision support, risk control, data security and other aspects. Finally, it puts forward the implementation path of financial management informatization and intelligent transformation, including top-level design, process optimization, talent training and so on.

The Economic Impact of AI Technology – Take Claude and GPT-4 As Examples

With the rapid development of science and technology, artificial intelligence (AI) technology has become the core field of global economic competition. Especially in recent years, the emergence of advanced AI models such as Claude and GPT-4 has not only led to a new round of technological revolution, but also had a profound and extensive impact on the global economy. The competition in these AI technologies is reshaping the economic pattern of various industries, creating new growth drivers, but also bringing many challenges and uncertainties. In the manufacturing sector, the application of AI technology has greatly improved production efficiency and quality, but it also requires companies to constantly update equipment and train employees to adapt to new production models. In the service industry, the application of AI customer service, intelligent recommendation and other technologies has improved the customer experience, but also put forward higher requirements for the skills and quality of employees. In addition, the wide application of AI technology also poses new challenges to data security, privacy protection and other aspects. How to enjoy the convenience brought by technology while ensuring data security and personal privacy has become an urgent problem to be solved. Therefore, in the face of the economic changes brought about by AI technology competition, policy makers, entrepreneurs and researchers need to conduct in-depth research and discussion, formulate reasonable policies and strategies, to better respond to challenges, seize opportunities, and promote the sustainable and healthy development of the economy.

A reference architecture for personal health data spaces using decentralized content-addressable storage networks.

This paper addresses the dilemmas of accessibility, comprehensiveness, and ownership related to health data. To resolve these dilemmas, we propose and justify a novel, globally scalable reference architecture for a Personal Health Data Space (PHDS). This architecture leverages decentralized content-addressable storage (DCAS) networks, ensuring that the data subject retains complete control and ownership of their personal health data. In today's globalized world, where people are increasingly mobile for work and leisure, healthcare is transitioning from episodic symptom-based treatment toward continuity of care. The main aims of this are patient engagement, illness prevention, and active and healthy longevity. This shift, along with the secondary use of health data for societal benefit, has intensified the challenges associated with health data accessibility, comprehensiveness, and ownership. The study is structured around four health data use case scenarios from the Estonian National Health Information System (EHIS): primary medical use, medical emergency use, secondary use, and personal use. We analyze these use cases from the perspectives of accessibility, comprehensiveness, and ownership. Additionally, we examine the security, privacy, and interoperability aspects of health data. The proposed architectural solution allows individuals to consolidate all their health data into a unified Personal Health Record (PHR). This data can come from various healthcare institutions, mobile applications, medical devices for home use, and personal health notes. The comprehensive PHR can then be shared with healthcare providers in a semantically interoperable manner, regardless of their location or the information systems they use. Furthermore, individuals maintain the autonomy to share, sell, or donate their anonymous or pseudonymous health data for secondary use with different systems worldwide. The proposed reference architecture aligns with the principles of the European Health Data Space (EHDS) initiative, enhancing health data management by providing a secure, cost-effective, and sustainable solution.

Analisis Website Siakad Universitas Janabadra Menggunakan Metode UAT

This research aims to comprehensively investigate and analyze the Janabadra University Academic Information System (Siakad) Website by applying the UAT (User Acceptance Testing) Method. This method is used as a framework to evaluate the level of user satisfaction with various aspects of the functionality, security, reliability and responsiveness of the Siakad website. The research involved collecting data through various approaches, including participant observation, in-depth interviews with active Siakad users, and distributing structural questionnaires. The results of an in-depth analysis of the usability dimensions include navigation, information structure, and user interface, while the security and reliability dimensions highlight aspects of data security and system availability. Website responsiveness is also analyzed to ensure optimal accessibility. The findings of this study provide a detailed picture of the strengths and potential for improvement in Siakad. The implications of the findings can serve as a basis for decision makers and developers to make specific improvements, ensuring that Siakad not only meets user expectations but also adheres to high security and performance standards. This study makes a significant contribution in the context of developing academic information systems in higher education institutions, illustrating the importance of the UAT Method approach as an effective evaluation tool. The findings of this research provide a detailed picture of the strengths and potential for improvement in Siakad. The implications of the findings can serve as a basis for decision makers and developers to make specific improvements, ensuring that Siakad not only meets user expectations but also adheres to high security and performance standards. This study makes a significant contribution in the context of developing academic information systems in higher education institutions, illustrating the importance of the UAT Method approach as an effective evaluation tool

AI for Digital Marketing

The rapid development of artificial intelligence (AI) technology has revolutionized the digital marketing landscape, enabling marketers to improve efficiency, personalization and strategic decision making. This research aims to map research trends related to the application of AI in digital marketing through bibliographic analysis. Qualitative research methods with a historical approach are used to collect and analyze scientific articles from leading international journals. Bibliometric analysis was performed with VOSviewer software to visualize patterns and clusters of key terms. Results show a significant increase in the number of publications related to AI in digital marketing, with a focus on topics such as marketing strategy, customer experience, social media, e-commerce and industrial marketing. The visualization reveals the interrelationships and groupings of various terms, providing insight into the current research landscape. This study contributes to the understanding of trends, opportunities and challenges in integrating AI into digital marketing practices. These findings are useful for researchers and practitioners to identify future research directions and develop effective marketing strategies by leveraging AI. However, further research is needed to explore the ethical implications, data security and other aspects regarding the application of AI in the context of digital marketing

Health Monitoring Systems for Military Personnel Using Sensor-based Systems

Abstract: The integration of sensor based system and integrated technologies in healthcare has opened new avenues for monitoring and enhancing the health of military personnel, particularly in challengingoperational environments. This review paper explores the evolution, applications, and challengesof health tracking systems for soldiers through the lens of IoT. We delve into the advancements in wearable devices, sensors, and data analytics thatfacilitate concurrent surveillance or immediate tracking and appraisal of vital signs. The paper highlights the significance of these systems in preventing injuries, ensuring timely medical intervention, and optimizing the overall well-being of soldiers during deployments. Key components, such as sensors and communication modules, are discussed, along with the critical aspects of data security and privacy. Case studies exemplify successful implementations, while the paper concludes by outlining challenges and future directions for IoT-based health tracking systems in military contexts.

Enhancing Visual Data Security: A Novel FSM-Based Image Encryption and Decryption Methodology

The paper presents a comprehensive exploration of a novel image encryption and decryption methodology, leveraging finite state machines (FSM) for the secure transformation of visual data. The study meticulously evaluates the effectiveness of the proposed encryption algorithm using a diverse image dataset. The encryption algorithm demonstrates high proficiency in obfuscating the original content of images, producing cipher images that resemble noise, thereby substantiating the encryption’s effectiveness. The robustness of the proposed methodology is further evidenced by its performance in the National Institute of Standards and Technology Statistical Test Suite (NIST STS). Such achievements highlight the algorithm’s capability to maintain the stochastic integrity of encrypted data, a critical aspect of data security and confidentiality. Histogram analysis revealed that the encryption process achieves a uniform distribution of pixel values across the encrypted images, masking any identifiable patterns and enhancing the security level. Correlation analysis corroborated the success of the encryption technique, showing a substantial reduction in the correlation among adjacent pixel values, thereby disrupting spatial relationships essential for deterring unauthorized data analysis. This improvement indicates the algorithm’s efficiency in altering pixel patterns to secure image data. Additionally, a comparative analysis of correlation coefficients using various encryption methods on the Lenna image offered insights into the relative effectiveness of different techniques, emphasizing the importance of method selection based on specific security requirements and data characteristics.

Comparison of Data Security and User Privacy on Instagram and Twitter: A Literature Study

This comprehensive literature study examines and compares data security and user privacy features on social media platforms such as Instagram and Twitter. The method used is a literature study of 25 journal articles from various trusted sources, such as Scopus, ScienceDirect, and Web of Science, with a qualitative approach. The study reveals that Instagram has advantages in some aspects of data security and privacy compared to Twitter. However, both platforms have weaknesses that users should be aware of, including the risk of phishing and cyberattacks. The research also highlights the importance of individual awareness and the implementation of effective data security measures, such as two-factor authentication and strict privacy settings. Although the study provides valuable insights, there are limitations in data collection methods that rely on electronic sources, which may not cover all relevant literature. Therefore, future research is expected to overcome these limitations and provide more up-to-date recommendations for improving data security and user privacy on social media.

Stepping Forward in the Digital Era: The Contribution of Business Information Systems in Responding to Global Entrepreneurship Challenges

The digital era has brought about fundamental changes in the way businesses are conducted worldwide. Entrepreneurship in the global context demands adaptability and rapid innovation in facing increasingly fierce competition. This research aims to examine the contribution of business information systems in addressing the challenges of global entrepreneurship in the digital era. The research method employed is a literature review with a qualitative approach and descriptive analysis. In this context, descriptive analysis will be used to depict the findings from selected articles from Google Scholar for the period 2004-2024. The study results indicate that in this dynamic and complex digital era, Business Information Systems (BIS) have proven to be key in addressing the challenges of global entrepreneurship. Through the integration of information technology and business processes, BIS enables companies to enhance operational efficiency, respond quickly to market changes, and create innovative products and services that differentiate them from competitors. However, the adoption of BIS is not without challenges. Companies need to pay attention to data security aspects, ensure sustainability in technology usage, and overcome organizational and cultural barriers.

A critical survey of the security and privacy aspects of the Aadhaar framework

Aadhaar is an identification document issued by the Unique Identification Authority of India (UIDAI) to the residents of India. It contains a 12-digit unique identification number (known as the Aadhaar number) and personal details such as name, address, date of birth and biometric data. The biometric data captured for Aadhaar includes fingerprints, facial images and iris scans, which are unique to each individual. The Aadhaar data is used for entity authentication while accessing various government services, availing subsidies, opening bank accounts and conducting other identity-dependent transactions. Thus, the Aadhaar framework provides efficient authentication services in India's public delivery systems. Although UIDAI has implemented stringent security measures such as encryption, access controls and regular audits of the system, the use of Aadhaar has raised several concerns regarding privacy and data security aspects. In this regard, only a handful of studies discuss the security challenges related to Aadhaar. Furthermore, the Aadhaar framework itself is always evolving, thus making prior studies less informative. This paper describes in detail the security features of the Aadhaar card while emphasizing the security challenges involving demographic and biometric data. We have also outlined the preventive measures that can be enforced to secure these data. Finally, this study investigates possible linkage attacks that could occur when different databases are linked for Aadhaar-enabled public schemes. Hence, our work summarizes the security and privacy implications of the Aadhaar infrastructure from a holistic perspective. We believe that our work would be useful for security professionals and policy makers engaged in designing large-scale authentication frameworks.

Research on Government Data Sharing Mechanism Based on Smart Contracts

Exploring mechanisms for internal data sharing within government departments is important in advancing digital and intelligent society. This paper is based on the establishment of decentralized nodes on the external network of government departments, constructing a decentralized node, and establishing a government internal data sharing model based on blockchain. Subsequently, integrating attribute fields from government data into the shared model, accompanied by the formulation of data-sharing rules through smart contracts, serves to streamline the implementation of efficient and secure cross-validation mechanisms across diverse departments. Finally, this article concludes by conducting a model performance testing experiment, evaluating the model from three perspectives: storage cost, blockchain performance, and security analysis. The test results show that our model enhances the efficiency of querying and retrieving data within the government's internal data-sharing system, effectively addressing challenges such as low efficiency, high costs, and issues related to the security and real-time aspects of data sharing within the government. Overall, our article provides a new way of thinking about government data sharing.

Big Data : Analysis

The amount of data in world is growing day by day. Data is growing because of use of internet, smart phone and social network. Big data is a collection of data sets which is very large in size as well as complex. Generally, size of the data is Petabyte and Exabyte. Traditional database systems is not able to capture, store and analyse this large amount of data. As the internet is growing, amount of big data continues to grow. Big data analytics provide new ways for businesses and government to analyse unstructured data. Now a days, big data is one of the most talked topics in IT industry. It is going to play important role in future. Big data changes the way that data is managed and used. Some of the applications are in areas such as healthcare, traffic management, banking, retail, education and so on. Organizations are becoming more flexible and more open. New types of data will give new challenges as well. The present paper highlights important concepts of Big Data. In this write up we discuss various aspects of big data. We define Big Data and discuss the parameters along which Big Data is defined. This includes the three V's of big data which are velocity, volume and variety. The authors also look at processes involved in data processing and review the security aspects of Big Data and propose a new system for Security of Big Data and finally present the future scope of Big Data.

ПРИМЕНЕНИЕ БЛОКЧЕЙН-ТЕХНОЛОГИИ В ПРОЦЕССЕ ЦИФРОВИЗАЦИИ ОБЩЕСТВА: ПРЕИМУЩЕСТВА И РИСКИ

The application of blockchain technologies, as well as the identification of their potential benefits and risks, is an important process of digitalization of society. The authors present a comprehensive view of how blockchain can change traditional processes in various areas, such as finance, healthcare and public administration, and assess the impact of these changes on the social structure and economic models. Aspects of decentralization, increased transparency and data security are considered in detail, along with challenges, including tech-nical, legal and ethical issues. The results of the study show that despite significant benefits, such as reduced costs and increased trust, blockchain also carries risks associated with ineffi-ciency in case of mass application, lack of a regulatory framework and the possibility of using the technology to “circumvent” laws.

ПРИМЕНЕНИЕ ОБЛАЧНЫХ ТЕХНОЛОГИЙ В ОБРАЗОВАТЕЛЬНЫХ ПРОЦЕССАХ УНИВЕРСИТЕТА

The article discusses the use of cloud technologies in the educational processes of universities, focusing on their impact on the organization of the educational process, management of educational materials and distance learning. Key cloud services and their classification are discussed, such as infrastructure as a service (IaaS), platform as a service (PaaS) and software as a service (SaaS). Examples of successful implementation of cloud solutions in universities are analyzed, and their benefits are assessed, including improved interaction between students and teachers, increased availability of educational resources and adaptability of educational materials. The article also highlights the problems and challenges associated with data security, technical and financial aspects of the implementation of cloud technologies. In conclusion, recommendations are provided for the effective implementation of cloud solutions and prospects for their further development in the educational sphere.

Design and analysis of a novel self-excited 5-D hyperchaotic system with maximum (n-2) positive lyapunov exponents

In this work, analytic and designed a new self -existed 5-D with thirteen terms nine of the term exhibit linearity, while the remaining one demonstrates nonlinearity. It has the highest Lyapunov Exponent with three positive ones to leverage the sequence in data security, encryption, and other related aspects, it’s advantageous to utilize a complex system where the key remains unbreakable It contains fifteen keys sensitive ICs and parameters. The system is a highly intricate dynamical system characterized by two equilibrium points, as demonstrated through examinations such as observation of phase plane trajectories, the investigation into eigenvalue structure, and assessment of dissipative stability. These analyses provide evidence supporting the existence of chaotic and hyperchaotic attractors within the system. The results of the simulations are derived from MATLAB 2021b, and Mathematica 11. A detailed and comprehensive evaluation of the recommended techniques has been carried out, offering insights into their effectiveness and suitability for theoretical computation and numerical simulation.

Exploring Factors Affecting People’s Acceptance of Connected Vehicle Technology in China

Connected vehicles (CVs) leverage the vehicle‐to‐everything (V2X) function to interact with various mobility systems. In China, regulations mandate that CVs must possess automatic recording capabilities as stipulated by the “Management Specification for Road Tests of Intelligent CVs.” Yet, public perception of these functionalities and their impact on the acceptance of V2X technology remains unclear. This study explores the acceptance of V2X in China by augmenting the Unified Theory of Acceptance and Use of Technology (UTAUT) framework. Utilizing a survey of 567 Chinese drivers, we employed structural equation modeling (SEM) and Multiple Indicators Multiple Causes (MIMIC) analysis to dissect the factors influencing the behavioral intention (BI) to use V2X. Our findings reveal that social influence (SI), facilitating conditions (FC), and effort expectancy (EE) significantly predict the intention to adopt V2X. Interestingly, while trust (T) does not exert a direct influence, its overall effect on BI surpasses those of the previously mentioned factors. Moreover, the MIMIC models highlight that individuals’ understanding of V2X significantly shapes their acceptance attitudes. These insights underscore the importance of enhancing T, particularly in the data security aspects of V2X, to bolster its acceptance in China. By addressing these concerns, stakeholders can pave the way for wider adoption of this pivotal technology.

Implementation of risk management in library information system at Surabaya City Library

Libraries may be at risk of data security issues. The threat of data loss or data damage is prone to occur in libraries. Information technology embedded in libraries has developed Artificial Intelligence (AI) for information retrieval systems. The application of information technology in the Surabaya City Library has potential risks to data security and force majeure aspects so that need a disaster mitigation plant. This study aimed to implement information system risk management at Surabaya City Libraries as a disaster mitigation plan. The research method was descriptive qualitative. Based on the risk analysis, the recommendations for applying risk to information technology Surabaya City Library were elimination and engineering. The manifestation of these two recommendations made the data access protocol use multiple authentications to avoid data theft attempts due to infiltration, hacking, and cracking. Study results recommended a protocol for each data access. The protocol would save every change, deletion, and system login in the log history. Implementing data authentication twice per login can avoid data theft caused by the intrusion. This activity log is used for activity tracking when the system is infiltrated. The limitation of this study lies in the scope of the research object, namely the library, which has limitations on the system or application used and does not impact the wider community. Conclusion of research, the library can implement risk management strategy with elimination and engineering models through recording system login activities, which mitigate the risk of data breaches originating from insiders.