Machine learning-driven exogenous neural architecture for nonlinear fractional cybersecurity awareness model in mobile malware propagation
A vulnerable mobile device remains a critical concern for the sustainable development of
information security infrastructure, and the massive increase in mobile malware propagation …
information security infrastructure, and the massive increase in mobile malware propagation …
Delayed dynamics analysis of SEI2RS malware propagation models in cyber–Physical systems
D Nithya, V Madhusudanan, BSN Murthy, R Geetha… - Computer Networks, 2024 - Elsevier
Cyber-physical systems facilitate seamless interaction between the physical and digital
elements for improved efficiency, automation, and real-time monitoring across domains. This …
elements for improved efficiency, automation, and real-time monitoring across domains. This …
Complex of Computer Models for Monitoring Epidemiological Processes Based on the Mathematical Apparatus of ODE SIR
A Ayan, Z Rakhmetullina… - 2024 IEEE AITU …, 2024 - ieeexplore.ieee.org
Modern challenges in public health, such as the coronavirus pandemic, require efficient and
reliable data management tools for analysis, modeling, and decision-making. Thanks to …
reliable data management tools for analysis, modeling, and decision-making. Thanks to …