Results 161 to 170 of about 1,419,609 (293)
Assessment of cybersecurity awareness among healthcare professionals. A cross sectional study. [PDF]
Moothedath M +5 more
europepmc +1 more source
ABSTRACT Small and medium‐sized enterprises (SMEs) face significant institutional barriers when expanding across borders, including regulatory constraints, financial accessibility issues, and market entry challenges. Institutional theory provides a useful framework for understanding how external regulative, normative, and cognitive institutional forces
Sharmin Nahar, Muntasir Alam
wiley +1 more source
LLM-based assessment of HTTPS cybersecurity awareness: Dataset from moroccan web users and webmasters. [PDF]
Zineddine A +5 more
europepmc +1 more source
Characteristics of cybersecurity awareness: case study – how cybersecurity awareness supplements technical security of Robot API [PDF]
Robots are expected to be part of the innovative development that societies will need in the future. Rapidly evolving technologies bring solutions but also challenges, and complex and intertwined systems widen attack surface.
Ahola, Anu
core
ABSTRACT This research investigates the interplay between legitimacy theory and Society 5.0, focusing on how Industry 4.0 technologies can support sustainable practices within MNEs. Our theoretical model highlights the significance of intra‐ and inter‐societal collaboration, advocating that MNEs engage all stakeholders through transparent ...
Salman Kimiagari, Rishi Kumar
wiley +1 more source
Cybersecurity awareness among radiography teachers in Africa and its potential impact in the digital age of medicine. [PDF]
Anas A, Nkubli FB, Ezeokeke UO.
europepmc +1 more source
We need to aim at the top: Factors associated with cybersecurity awareness of cyber and information security decision-makers. [PDF]
Vrhovec S, Markelj B.
europepmc +1 more source
Abstract Internet of Medical Things (IoMT) has typical advancements in the healthcare sector with rapid potential proof for decentralised communication systems that have been applied for collecting and monitoring COVID‐19 patient data. Machine Learning algorithms typically use the risk score of each patient based on risk factors, which could help ...
Chandramohan Dhasaratha +9 more
wiley +1 more source
ABSTRACT Accurate load forecasting and reliable anomaly detection are critical for the stable operation of modern smart grids (SGs), which increasingly rely on cyber‐connected infrastructures. However, the integration of smart metres and two‐way communication exposes SGs to data integrity attacks that can manipulate consumption measurements, degrade ...
Murad Ali Khan +4 more
wiley +1 more source
ABSTRACT Continuous authentication (CA) systems based on behavioural biometrics are increasingly deployed in zero‐trust architectures, yet their performance degrades over time due to natural behavioural drift arising from device changes, fatigue and evolving habits.
Ahmed Alzahrani
wiley +1 more source

