A Comparison of Monte Carlo-Based and PINN Parameter Estimation Methods for Malware Identification in IoT Networks

A Comparison of Monte Carlo-Based and PINN Parameter Estimation Methods for Malware Identification in IoT Networks

Malware propagation is a growing concern due to its potential impact on the security and integrity of connected devices in Internet of Things (IoT) network environments. This study investigates parameter estimation for Susceptible-Infectious-Recovered (SIR) and Susceptible–Infectious–Recovered–Susce...

Full description

Bibliographic Details
Main Authors: Marcos Severt, Roberto Casado-Vara, Angel Martín del Rey
Format: Article
Language:English
Published: MDPI AG 2023-09-01
Series:Technologies
Subjects:
PINN
Monte Carlo
parameter estimation
malware propagation
IoT networks
Online Access:https://www.mdpi.com/2227-7080/11/5/133

Internet

https://www.mdpi.com/2227-7080/11/5/133

Similar Items