Football cybersecurity threat severity prediction using multi-head transformer-based deep learning models. [PDF]
Hassan BM +5 more
europepmc +1 more source
ABSTRACT Enhancing infrastructure resilience, a key component of transforming and sustainably developing service utilities, requires a transdisciplinary and systems engineering framework. Addressing vulnerabilities in system architecture offers opportunities for resilience improvements, thereby mitigating the environmental, social, and economic impacts
Bob Hasanabadi +2 more
wiley +1 more source
Cybersecurity breaches in medical devices: analyzing FDA safety communications in response to patient security concerns. [PDF]
Menon V.
europepmc +1 more source
Systems‐Based Organisational Resilience Framework: A Delphi Study‐Based Validation and Verification
ABSTRACT The increasing systemic complexity of the Fourth Industrial Revolution has heightened the need for robust approaches to organisational resilience. Despite its growing prominence, resilience research remains fragmented, with limited consensus on core dimensions, causal interdependencies and mechanisms suitable for dynamic assessment. This study
Dumisani Manzini +3 more
wiley +1 more source
Cybersecurity as it relates to perfusion. [PDF]
Lung K.
europepmc +1 more source
Assessing Capability Complexity Using Enterprise Architecture Framework
ABSTRACT This study proposes a structured and quantitative methodology to evaluate the holistic complexity of system‐of‐systems (SoSs), employing the Zachman Architecture Framework (ZAF) as its foundational analytical tool. A five‐phase analytical procedure is developed and empirically validated, encompassing: (1) refinement of complexity measures, (2)
Javad Bakhshi, Mahmoud Efatmaneshnik
wiley +1 more source
Retraction: Enhancing IoT cybersecurity through lean-based hybrid feature selection and ensemble learning: A visual analytics approach to intrusion detection. [PDF]
PLOS One Editors.
europepmc +1 more source
DQN‐Guided Subset‐Induced OCSVM Kernel Approximation for Imbalanced Anomaly Detection
Anomaly detection under limited normal data remains a fundamental challenge due to severe class imbalance and scarcity of anomalies. We propose a novel framework that reformulates support vector selection in One‐Class SVM as a sequential decision‐making problem.
Wenqian Yu, Jiaying Wu, Jinglu Hu
wiley +1 more source
A generative AI-driven cybersecurity framework for small and medium enterprises software development: an ANN-ISM approach. [PDF]
Awan M +5 more
europepmc +1 more source
Maximizing the Economic, Environmental, and Social Impact of the Metaverse
ABSTRACT The metaverse is a transformative digital ecosystem with the potential to redefine economic, environmental, and social systems. This qualitative study examines how the metaverse and its enabling technologies—such as AR/VR, blockchain, and AI—might evolve to influence sustainability. Drawing on semi‐structured interviews with global experts and
Alessandro Lanteri +2 more
wiley +1 more source

