National digital identity systems (NDIDs) are increasingly important for users’ authentication and secure access to e-government services. However, there is insufficient research on human-centric cybersecurity (HCCS) that impacts the use of NDIDs. Drawing on the theory of planned behavior and technical formal informal model, this paper proposes and validates a research model that depicts how HCCS affect the use of NDIDs. Data were collected from 203 Australian residents and analyzed using structural equation modeling and multiple linear regression analysis. The findings revealed that security, privacy, perceived risk, usability, flexibility, and cultural and social interference significantly impact the use of NDIDs. Considering HCCS in NDIDs usage, especially in risk-conscious cultures, is crucial. Low cybersecurity awareness and trust impede NDIDs adoption, emphasizing the need for cybersecurity education and awareness. The insights benefit policymakers, governments, and cybersecurity practitioners, providing a valuable understanding of human-centric cybersecurity influence on the use of NDIDs.

This paper establishes the current state of human-centric cybersecurity factors that influence users’ adoption of national digital identity systems (NDIDs). NDIDs are national-level security systems that provide digital identity management services for secure authentication and access to online government services. Advances in NDIDs have raised concerns about human-centric cybersecurity factors. These concerns motivated researchers to explore the human aspects of cybersecurity. This paper critically synthesizes the literature on human-centric cybersecurity factors to enrich our knowledge of why users adopt or reject NDIDs. This paper identifies a combination of trust, privacy, perceived risk, usability, flexibility, cultural and social interference, and security factors that influence the adoption of NDIDs. This study builds a multi-level conceptual framework to contextualize human-centric cybersecurity factors influencing NDIDs adoption. This paper contributes to current literature and recommends that future research should consider non-technical aspects of cybersecurity that affect NDIDs adoption.

Blockchain has transitioned beyond the hype to reality, as evidenced by the amount of research it has attracted and by its commercial applications. One popular application of blockchain is in cybersecurity, which is the focus of this paper. Specifically, we performed a systematic literature review of blockchain use cases for cybersecurity, while focusing on articles published over the past decade. Based on our analysis of 111 articles, we developed a classification framework using the thematic analysis approach. This classification framework is designed to offer readers a comprehensive perspective of the potential of blockchain to enhance cybersecurity in different contexts. The findings have implications for research and practice.