Robust Cybersecurity Research Articles

Best practices in cybersecurity for green building management systems: Protecting sustainable infrastructure from cyber threats

This study explores the critical intersection of cybersecurity and sustainable infrastructure, with a focus on Green Building Management Systems (GBMS). Recognizing the increasing sophistication of cyber threats and the integration of digital technologies in sustainable buildings, this research aims to understand the challenges and prospects of cybersecurity within this context. Employing a systematic literature review and content analysis, the study examines peer-reviewed articles, conference proceedings, and industry reports from 2010 to 2024. The methodology facilitates a comprehensive understanding of the evolution, current practices, and future directions of cybersecurity measures in sustainable infrastructure. Key findings reveal that robust cybersecurity measures are foundational to protecting the digital and physical assets underpinning sustainable infrastructure. The study identifies core principles of cybersecurity, such as resilience and the integration of cybersecurity with sustainability efforts, as crucial for enhancing the security posture of GBMS. Looking ahead, the research anticipates a future where cybersecurity measures are seamlessly integrated into sustainable buildings, ensuring resilience against cyber threats while advancing sustainability goals. Strategic recommendations include adopting international standards, fostering interdisciplinary collaboration, investing in cybersecurity education, and leveraging emerging technologies. The study concludes that advancing research in cybersecurity technologies tailored for sustainable infrastructure is essential for navigating the complexities of cybersecurity in green building management.

Impact of Cybersecurity Regulations on Corporate Compliance Practices in Japan

Purpose: The aim of the study was to analyze impact of cybersecurity regulations on corporate compliance practices in Japan. Methodology: This study adopted a desk methodology. A desk study research design is commonly known as secondary data collection. This is basically collecting data from existing resources preferably because of its low cost advantage as compared to a field research. Our current study looked into already published studies and reports as the data was easily accessed through online journals and libraries. Findings: In Japan, cybersecurity regulations have significantly influenced corporate compliance practices. The Act on the Prohibition of Unauthorized Computer Access, along with the Penal Code, outlines stringent measures against cybercrimes, mandating corporations to adopt robust cybersecurity protocols to protect against unauthorized access and data breaches. Furthermore, comprehensive data protection laws, such as the Act on the Protection of Personal Information (APPI), require companies to obtain explicit consent for data processing, ensuring a higher standard of data privacy and security compliance. Unique Contribution to Theory, Practice and Policy: Institutional theory, resource dependence theory & contingency theory may be used to anchor future studies on cybersecurity regulations on corporate compliance practices. Organizations should prioritize building a robust cybersecurity governance framework that integrates regulatory compliance requirements into broader risk management strategies. Policymakers and regulators should adopt a risk-based approach to cybersecurity regulation that takes into account the diverse needs and capabilities of organizations across different sectors and geographical regions.

An exploratory data analysis of malware/ransomware cyberattacks: insights from an extensive cyber loss dataset

ABSTRACT This study comprehensively assesses ransomware/malware risks using the Advisen cyber loss dataset. It classifies malware types by frequency and financial impact, revealing that low-frequency attacks can cause significant economic damage. Some malware types incur extensive losses despite their rarity. The analysis highlights cybersecurity technologies like AI-based tools and Zero Trust Architecture (ZTA) for combating attacks. Large organizations and small businesses can adopt these defensive approaches across various industries. The study underscores the need for robust cybersecurity measures to prevent or mitigate future attacks, offering valuable insights into malware and ransomware patterns and trends, stressing adherence to frameworks, policies, and regulations.

Balancing Possibilist-probabilistic risk assessment for smart energy hubs: Enabling secure peer-to-peer energy sharing with CCUS technology and cyber-security

This paper introduces the Possibilistic-Probabilistic Risk-based Smart Energy Hub (PPR-SEH) scheduling model, addressing cybersecurity challenges in the transition to advanced energy systems characterized by decarbonization, decentralization, and digitalization. The model integrates cutting-edge technologies like Carbon Capture Utilization and Storage (CCUS) and demand response programs. It addresses uncertainties from renewable energy sources, demand variability, fuel supply, and energy price fluctuations using a Z-number-based approach. Covering various energy types—electricity, heat, cooling, gas, and water—the PPR-SEH model offers a comprehensive energy management solution. Employing a mixed-integer linear programming (MILP) framework optimized with the CPLEX solver in GAMS software, it uses an epsilon constraint method and a fuzzy satisfying approach for solution selection. The model also evaluates the economic and environmental impacts of peer-to-peer energy-sharing markets linked with carbon emission trading, enhancing the efficiency and sustainability of energy distribution. The findings reveal that incorporating robust cybersecurity measures and integrating demand response and CCUS significantly influence operational efficiency and sustainability, evidenced by an increase in costs and pollution by approximately 11.43 % and 1.8 %, respectively, compared to deterministic approaches. This study underscores the importance of robust planning and the beneficial impact of a carbon system on load curve management and economic returns in smart energy systems.

Revolutionizing smart grid-ready management systems: A holistic framework for optimal grid reliability

Existing energy management systems are becoming increasingly insecure and inefficient due to the rapid adoption of smart grid technology. Current research indicates that effectively managing dynamic energy flows, adjusting to changing needs, and protecting against new cyber threats remain significant challenges for the smart grid system. An advanced and comprehensive plan for managing smart grids is therefore required, capable of addressing these delicate and multifaceted problems. The proposed framework addresses these challenges through unifying several key aspects, it includes an advanced data acquisition system that captures real-time data from various grid sources, enabling comprehensive energy monitoring and dynamic flow analysis. By integrating predictive algorithms, the framework provides precise energy demand forecasting, which is essential for adaptive grid management. A significant contribution is the incorporation of an AI-based module for diagnostics and prognostics, which leverages machine learning techniques to shift from reactive to proactive maintenance strategies. The optimal power flow (OPF) optimization module represents a central component of the framework. It employs advanced computational methods to ensure efficient and cost-effective power distribution, particularly in grids incorporating renewable energy sources. Additionally, the architectural framework is strengthened by a robust cybersecurity module designed to safeguard against a wide range of cyber threats, maintaining the integrity of both operational and consumer data. This paper also addresses practical implementation challenges such as compatibility with existing infrastructure, investment costs, and the need for specialized training. This solution represents a new benchmark for smart grid operations, ensuring more sustainable and efficient energy systems.

Comparative study of novel packet loss analysis and recovery capability between hybrid TLI-µTESLA and other variant TESLA protocols

Analyzing packet loss, whether resulting from communication challenges or malicious attacks, is vital for broadcast authentication protocols. It ensures legitimate and continuous authentication across networks. While previous studies have mainly focused on countering Denial of Service (DoS) attacks' impact on packet loss, our research introduces an innovative investigation into packet loss and develops data recovery within variant TESLA protocols. We highlight the efficacy of our proposed hybrid TLI-µTESLA protocol in maintaining continuous and robust connections among network members, while maximizing data recovery in adverse communication conditions. The study examines the unique packet structures associated with each TESLA protocol variant, emphasizing the implications of losing each type on the network performance. We also introduce modifications to variant TESLA protocols to improve data recovery and alleviate the effects of packet loss. Using Java programming language, we conducted simulation analyses that illustrate the adaptability of variant TESLA protocols in recovering lost packet keys and authenticating previously buffered packets, all while maintaining continuous and robust authentication between network members. Our findings also underscore the superiority of the hybrid TLI-µTESLA protocol in terms of packet loss performance and data recovery, alongside its robust cybersecurity features, including confidentiality, integrity, availability, and accessibility. Additionally, we demonstrated the efficiency of our proposed protocol in terms of low computational and communication requirements compared to earlier TESLA protocol variants, as outlined in previous publications.

Dynamic behaviors of a modified computer virus model: Insights into parameters and network attributes

Securing computers is crucial to prevent data breaches, identity theft, and financial losses. Virus incursions disrupt operations, causing downtime and costly repairs. Protective measures, including anti-virus software and cybersecurity practices, maintain network integrity and reduce the spread of malware. Combining robust cybersecurity with green computing strategies ensures efficient energy usage and sustainable network environments, safeguarding against viruses while contributing to both security and environmental goals In this study, we explore the dynamic behaviors of a modified version of the computer virus model and elucidate the connection between its parameters and network attributes. We employ Banach’s and Schaefer’s fixed-point theorems to assess the existence and uniqueness of solutions of the suggested model. Furthermore, we establish sufficient conditions for Ulam–Hyers stability within the envisioned computer virus model. To analyze solution trajectories and the impact of various input factors on computer virus dynamics, we utilize an efficient numerical technique, providing insight into the relationships between model parameters and enabling the design of networks that minimize the risk of virus outbreaks under various bifurcation conditions.

Securing the green grid: A data anomaly detection method for mitigating cyberattacks on smart meter measurements

Smart meters, being a vital component in the advanced metering infrastructure (AMI), provide an opportunity to remotely monitor and control power usage and act like a bridge between customers and utilities. The installation of millions of smart meters in the power grid is a step forward towards a green transition. However, it also constitutes a massive cybersecurity vulnerability. Cyberattacks on AMI can result in inaccurate billing, energy theft, service disruptions, privacy breaches, network vulnerabilities, and malware distribution. Thus, utility companies should implement robust cyber-security measures to mitigate such risks. In order to assess the impact of cybersecurity breaches on AMI, this paper presents a cyber-attack scenario on grid measurements obtained via smart meters and assesses the stochastic grid estimations under attack. This paper also presents an efficient method for the detection and identification of anomalous data within the power grid by leveraging the distance between measurements and the confidence ellipse centered around the estimated value. To assess the proposed method, a comparative analysis is done against the chi-square test for detection and the largest normalized distribution test for the identification of bad data. Furthermore, by using a Danish low-voltage grid as a base case, this paper introduces two test cases to evaluate the performance of the proposed method under single and multiple-node cyber-attacks on the grid state estimation. Results show a notable improvement in accuracy when using the proposed method. Additionally, based on these numerical results, protective countermeasures are presented for the grid.

Cyber Security Risk Assessment Methods for Smart Healthcare

The perverseness of the Internet of Things (IoT) has reached the healthcare sector, where interconnected medical devices are transforming how we deliver and manage health. These devices, linked wirelessly, create a vast network known as Internet of Medical Things (IoMT), that integrates seamlessly with the broader healthcare system. This interconnected infrastructure facilitates the exchange of massive amounts of patient data, paving the way for a more distributed and data-driven approach to healthcare. In healthcare’s ICT environment rely heavily on electronic health records (EHR), e-prescribing systems and other systems. Protecting this sensitive data necessitates robust cybersecurity measures. Even though data security is an indirect cost, it is crucial for healthcare systems. In general, patient trust in a healthcare system depends on the infrastructure’s ability to protect data from security and privacy threats. A critical component of this strategy is security risk assessment. A risk is an indirect cost borne by those designing these systems. The risk assessment process identifies, evaluates, and prioritizes potential threats to the organization’s assets including hardware and software. By assessing risks before acting, healthcare organizations can effectively allocate resources to mitigate the most critical vulnerabilities. While broadly applicable cyber risk assessment frameworks like NIST, ISO, and OCTAVE exist, they may lack a strong risk between assets, threats and impacts, and controls. Therefore, they do not provide a comprehensive picture for healthcare specifically. A more thorough examination is required to establish a strong association between protected systems, potential threats, and the resulting risks. This paper critically reviews these frameworks and their methodologies and limitations for healthcare cybersecurity. Even though data security is an indirect cost, it is crucial for healthcare systems.

Operational Risks Faced by Financial Institutions in the Digital Age: A Case of Nigeria

Purpose: The aim of the study was to examine operational risks faced by financial institutions in the digital age: a case of Nigeria. Methodology: This study adopted a desk methodology. A desk study research design is commonly known as secondary data collection. This is basically collecting data from existing resources preferably because of its low cost advantage as compared to a field research. Our current study looked into already published studies and reports as the data was easily accessed through online journals and libraries. Findings: The study found that financial institutions in Nigeria are confronted with a myriad of operational risks in the digital age, stemming from the rapid adoption of technology and the evolving cyber threat landscape. The shift towards digital banking and fintech innovations has introduced new vulnerabilities, including cyberattacks, data breaches, and fraudulent activities, posing significant challenges to the security and integrity of financial systems in Nigeria. Operational risks associated with technological disruptions, such as system failures, IT outages, and disruptions to digital payment platforms, can undermine the reliability and efficiency of financial services, leading to customer dissatisfaction and financial losses. The proliferation of mobile banking and digital payment channels has heightened concerns about financial inclusion, data privacy, and regulatory compliance, necessitating robust risk management frameworks and regulatory oversight to safeguard the stability and resilience of Nigeria's financial sector. Unique Contribution to Theory, Practice and Policy: Technology Acceptance Model (TAM), Agency Theory & Resource Dependence Theory may be used to anchor future studies on operational risks faced by financial institutions in the digital age: a case of Nigeria. Financial institutions should prioritize the implementation of robust cybersecurity measures, including regular security audits, penetration testing, and employee training programs. By enhancing cybersecurity awareness and preparedness, institutions can mitigate the risk of cyberattacks and data breaches. Regulatory authorities play a crucial role in shaping the regulatory landscape to address operational risks in the Digital Age. Policymakers should collaborate with industry stakeholders to develop robust regulatory frameworks that promote innovation while safeguarding financial stability and consumer protection.

Interconnected and resilient: A CGE analysis of AI-driven cyberattacks in global trade.

The burgeoning interconnectedness of global trade in the digital age not only presents enticing opportunities but also harbors potent vulnerabilities of artificial intelligence (AI)-driven cyberattacks. This study explores the cascading impacts of these disruptive threats on economies, supply chains, and trade, utilizing the intricate lens of Computable General Equilibrium modeling. Through meticulously designed simulation scenarios, we illuminate the potential economic ramifications of cyberattacks, with a focus on regions heavily reliant on digital technologies and interwoven supply chains. The analysis reveals significant declines in real GDP, trade prices and volumes, and trade route disruptions across regions. Notably, economies like China, the United States, the United Kingdom, and the EU, due to their deep integration in global networks, face pronounced vulnerabilities. However, amidst this bleak landscape, hope emerges in the form of cyber resilience. The study showcases the effectiveness of proactive measures like adaptable production systems, diversified trade partners, and robust cybersecurity infrastructure in mitigating the adverse impacts of cyberattacks. Incorporating cyber resilience significantly dampens the reported negative consequences, highlighting the critical role of preparedness in combating digital warfare. This study underscores the urgent need for a global paradigm shift toward cyber resilience. Collective efforts to bolster cybersecurity infrastructures, foster international cooperation in threat intelligence, and establish open and resilient trade frameworks are crucial in navigating the treacherous labyrinth of AI-driven cyberattacks. By embracing resilience strategies and fostering global collaboration, we can pave the way for a more secure and prosperous digital future, where interconnectedness becomes a tool for progress, not a vulnerability to be exploited.

A Survey on Graphical Password Strategy Authentication

In an ever-evolving digital realm, ensuring the security and reliability of software applications has become increasingly crucial. The continuous advancement of technology also brings about more complex cyber threats, emphasizing the urgent need to identify and address vulnerabilities. In response to this growing imperative, we introduce "Graphical Password Authenticator: A Novel Approach to Secure User Authentication." The Graphical Password Authenticator reimagines the conventional user authentication process by utilizing graphical elements and innovative techniques. It provides a secure and user-friendly alternative to traditional text-based passwords, offering enhanced protection against unauthorized access. By incorporating graphical images, patterns, or other visual cues, users can create unique and memorable authentication credentials that are difficult for malicious actors to compromise. This approach offers a more intuitive and engaging way for users to access their accounts while significantly reducing the risk of password-related security breaches. The Graphical Password Authenticator system ensures robust security through a combination of graphical recognition and encryption technologies. It is designed to be resistant to common attack methods such as brute force and keyloggers, providing a higher level of protection for user accounts and sensitive information. This novel approach to user authentication fosters a secure and user-centric environment, making it a promising solution for the ever-evolving digital landscape. The Graphical Password Authenticator is a groundbreaking step at the intersection of user authentication and innovation. By redefining the way users prove their identity through memorable graphical elements, this approach empowers users with a more secure and intuitive means of accessing their digital resources. This paradigm shift in authentication methods showcases the potential of technology to enhance user security and create a safer digital future, ultimately bridging the gap between user convenience and robust cybersecurity. Keywords: Graphical Password Authenticator, User Authentication, Cybersecurity, Digital Security, Encryption Technologies, User-Centric Approach, Brute Force Resistance, Keyloggers Protection.

The role of IoT in boosting supply chain transparency and efficiency

This review paper explores the pivotal role of the Internet of Things (IoT) in enhancing transparency and efficiency within supply chains. As global industries increasingly demand sustainability and streamlined operations, IoT emerges as a key enabler, providing unprecedented visibility and control. This paper synthesizes findings from a broad range of literature, including case studies and empirical research, to assess the impact of IoT on supply chain dynamics. The analysis reveals that IoT facilitates real-time tracking of goods and data flow, significantly increasing transparency across all supply chain tiers. This enhanced visibility aids in proactive decision-making, compliance with regulatory standards, and adherence to sustainability criteria. Additionally, the integration of IoT is shown to streamline operations, reduce costs, and elevate customer satisfaction through more reliable and responsive service delivery. The paper concludes that while the adoption of IoT drives considerable improvements in supply chain management, it also introduces challenges such as the need for substantial infrastructure investment and ongoing concerns regarding data security and privacy. Recommendations for practitioners include adopting a phased IoT integration strategy and prioritizing robust cybersecurity measures to safeguard sensitive information. This review provides a comprehensive overview of IoT's capabilities and outlines strategic approaches to harness its full potential for transforming supply chain operations.

Cybersecurity compliance in financial institutions: A comparative analysis of global standards and regulations

Cybersecurity is a critical concern for financial institutions worldwide, given the increasing frequency and sophistication of cyberattacks. This paper conducts a comparative analysis of global standards and regulations governing cybersecurity compliance in financial institutions. By examining the regulatory frameworks of key jurisdictions, including the United States, the European Union, and Asia-Pacific countries, this study aims to identify common trends, differences, and best practices in cybersecurity compliance. The analysis begins by outlining the regulatory landscape for cybersecurity in financial institutions, highlighting the key objectives and principles underlying these regulations. It then compares the regulatory frameworks of different regions, focusing on areas such as data protection, incident response, and risk management. By examining the specific requirements and guidelines set forth by each jurisdiction, this study identifies the strengths and weaknesses of current cybersecurity regulations and offers recommendations for enhancing compliance and resilience. One of the key findings of this study is the increasing convergence of global cybersecurity standards, driven by the interconnected nature of the financial sector and the need for harmonized regulatory approaches. While differences in regulatory frameworks still exist, particularly in areas such as data protection and breach notification, there is a growing recognition of the need for international cooperation and information sharing to combat cyber threats effectively. The study also highlights the challenges faced by financial institutions in achieving cybersecurity compliance, including resource constraints, evolving cyber threats, and the complexity of regulatory requirements. It underscores the importance of implementing robust cybersecurity measures, such as encryption, multi-factor authentication, and regular security audits, to mitigate these challenges. In conclusion, this comparative analysis provides valuable insights into the global landscape of cybersecurity compliance in financial institutions. By identifying common trends and best practices, this study aims to assist policymakers, regulators, and financial institutions in enhancing their cybersecurity posture and effectively addressing the evolving cyber threat landscape.

Evaluating the barriers affecting cybersecurity behavior in the Metaverse using PLS-SEM and fuzzy sets (fsQCA)

While offering novel user experiences, the Metaverse introduces complex cybersecurity challenges due to the sophisticated interaction of augmented reality (AR), virtual reality (VR), and web technologies. Addressing the barriers to cybersecurity behavior is essential to protect users against risks such as identity theft and loss of digital assets. Therefore, this research aims to investigate these barriers by developing a theoretical model that draws factors from the Technology Threat Avoidance Theory (TTAT) and considers variables such as privacy concerns, perceived risks, and response costs. The data were collected from 395 Metaverse users and were analyzed using the Partial Least Squares-Structural Equation Modeling (PLS-SEM) and fuzzy-set Qualitative Comparative Analysis (fsQCA). The PLS-SEM findings showed that perceived threats, privacy concerns, and response costs have a significant negative impact on cybersecurity behavior, while perceived risks have an insignificant negative influence. The fsQCA results revealed that there is not a single pathway leading to robust cybersecurity behavior. Instead, eight configurations that include the presence and absence of certain conditions can lead to this desirable outcome. The findings not only advance the academic conversation on Metaverse security but also offer actionable strategies for stakeholders to reinforce user protection in this dynamic virtual environment.

A Research on Graphical Password Strategy Authentication

In an ever-evolving digital realm, ensuring the security and reliability of software applications has become increasingly crucial. The continuous advancement of technology also brings about more complex cyber threats, emphasizing the urgent need to identify and address vulnerabilities. In response to this growing imperative, we introduce "Graphical Password Authenticator: A Novel Approach to Secure User Authentication." The Graphical Password Authenticator reimagines the conventional user authentication process by utilizing graphical elements and innovative techniques. It provides a secure and user-friendly alternative to traditional text-based passwords, offering enhanced protection against unauthorized access. By incorporating graphical images, patterns, or other visual cues, users can create unique and memorable authentication credentials that are difficult for malicious actors to compromise. This approach offers a more intuitive and engaging way for users to access their accounts while significantly reducing the risk of password-related security breaches. The Graphical Password Authenticator system ensures robust security through a combination of graphical recognition and encryption technologies. It is designed to be resistant to common attack methods such as brute force and keyloggers, providing a higher level of protection for user accounts and sensitive information. This novel approach to user authentication fosters a secure and user-centric environment, making it a promising solution for the ever-evolving digital landscape. The Graphical Password Authenticator is a groundbreaking step at the intersection of user authentication and innovation. By redefining the way users prove their identity through memorable graphical elements, this approach empowers users with a more secure and intuitive means of accessing their digital resources. This paradigm shift in authentication methods showcases the potential of technology to enhance user security and create a safer digital future, ultimately bridging the gap between user convenience and robust cybersecurity.

The Digital Evolution Strategies for Overcoming Cybersecurity and Adoption Challenges in French SMEs

French Small and Medium-sized Enterprises (SMEs) face a crucial juncture in their path towards digital transformation. They encounter notable obstacles in embracing digital technologies and bolstering cybersecurity measures. This integrative literature review examines the complex relationship between digitalization and cybersecurity, highlighting their importance for enterprises' ongoing competitiveness and operational security. The study is focused on two primary areas: the integration of digital technologies and the establishment of robust cybersecurity frameworks. This review thoroughly examines existing research to offer strategic insights for leaders of French SMEs and IT policymakers. It employs rigorous inclusion and exclusion criteria, detailed data extraction, and comprehensive synthesis to ensure a systematic analysis. The findings emphasize the critical roles of organizational culture and innovation diffusion in shaping the adoption of technology and the implementation of security practices. The review puts forward practical suggestions to address the digital divide, strengthen cybersecurity readiness, and promote a digital environment accessible to all sectors of French SMEs. These recommendations focus on enhancing operational efficiency, minimizing expenses, and fortifying the security framework to bolster a solid national digital transformation. The study's conclusions highlight the significance of these findings for future research and practice, providing a thorough guide for incorporating digital transformation and cybersecurity in the context of French SMEs.

A Review on Cybersecurity in HR Systems: Protecting Employee Data in the Age of AI

This review critically examines the integration of artificial intelligence (AI) into human resource (HR) systems and evaluates its implications for cybersecurity. As digital transformation accelerates, HR systems increasingly process and store substantial volumes of sensitive employee data, making robust cybersecurity measures essential. The primary aim is to highlight significant cybersecurity challenges, identify advanced AI-driven security solutions, and understand their effectiveness in safeguarding employee data. Sources were selected based on relevance to the integration of AI in HR systems, their contribution to cybersecurity, and empirical evidence of both vulnerabilities and defenses.The review reveals that while AI can significantly enhance the detection of anomalies and automate security responses, it also introduces new vulnerabilities, such as sophisticated AI-driven attacks and biases in algorithmic decision-making. Key findings indicate a heightened need for dynamic security protocols that can evolve in tandem with AI technologies. Effective strategies highlighted include AI-enhanced encryption, behavioral analytics for threat detection, and AI-driven security training simulations. The findings emphasize the dual-edged nature of AI in cybersecurity for HR systems. For practitioners, adopting AI-driven security solutions offers a forward-thinking approach to protecting sensitive data but also requires a vigilant reassessment of security strategies in light of AI-specific threats. Policymakers are urged to consider more robust regulations that address the unique challenges posed by AI technologies. Ultimately, the paper calls for a proactive stance in cybersecurity management to anticipate and mitigate potential threats before they impact the integrity and trustworthiness of HR systems

Exploring the impact of cybersecurity on using electronic health records and their performance among healthcare professionals: A multi-analytical SEM-ANN approach

Cybersecurity is critical in safeguarding sensitive information against evolving threats, especially in the healthcare sector, where Electronic Health Records (EHR) are central to the digital transformation of healthcare. This study takes a unique approach by investigating the influence of cybersecurity on healthcare professionals' use of EHR systems and its impact on their performance. It goes beyond the traditional adoption theories by integrating the Technology Acceptance Model (TAM) with cybersecurity and emotional trust and focuses on actual EHR system usage and its performance impact. The data from 459 healthcare professionals, analyzed using a Structural Equation Modeling-Artificial Neural Networks (SEM-ANN) approach, provides a comprehensive view of the dynamics involved. The findings suggest that cybersecurity's impact on the system's ease of use may vary by context. Ease of use was linked to trust but not directly to perceived usefulness. Importantly, systems perceived as efficient and beneficial are used more, leading to improved healthcare service quality. The study underscores the importance of robust cybersecurity measures and trust in effective EHR integration, offering valuable insights for enhancing EHR system acceptance and healthcare outcomes in Jordan.

Navigating the Digital Frontier: Exploring the Landscape of Digital Finance in the United States

Driven by technology innovation and digital change, the US financial environment is going through a significant transition. The exceptional accessibility and simplicity of digital finance—which encompasses fintech, bitcoin, and mobile banking—benefits both consumers and businesses. However, regulatory frameworks, consumer behavior, and cybersecurity risks come along with this paradigm shift. Through the integration of contemporary literature studies and empirical data, this study aims to present a comprehensive picture of the digital financial landscape in the United States. We evaluate the revolutionary impact of digital technologies on financial services, client preferences, emerging risks like decentralized finance (DeFi) and cybersecurity vulnerabilities, and regulatory innovations and limits using a systematic evaluation approach. Our findings underscore the multifaceted nature of digital banking and point to important trends, drivers, and stakeholder implications. We suggest enhancing regulatory coordination, fostering financial education and awareness, putting robust cybersecurity measures in place, supporting regulatory innovation, fortifying consumer protection measures, and keeping an eye on and responding to emerging risks to address the opportunities and challenges that have been identified. By putting these suggestions into practice, regulators, legislators, and business stakeholders will be able to handle the complexities of the digital banking ecosystem and fully utilize its potential to promote innovation, financial inclusion, and economic growth.