Controlling worm propagation in wireless sensor networks: Through fractal-fractional mathematical perspectives.

ABSTRACT: Wireless Sensor Networks (WSNs) are particularly vulnerable to malware attacks due to their limited processing power, memory, and energy, which makes defending against such threats especially challenging. To mitigate these serious security issues caused by malware infection, various preventive measures can be implemented, such as honeypots, robust security protocols, hardware-based protections, regular updates, firewalls, and intrusion detection systems (IDS). Considering these security concerns, we adopt an advanced version of the existing susceptible-infectious-protected-recovered SIPR model that incorporates a fractional-fractal derivative (FFD) defined in the Atangana-Baleanu-Caputo (ABC) sense, which offers a more realistic representation than the classical model. Furthermore, this re

SUBMITTER: Shah MI 

PROVIDER: S-EPMC12633933 | biostudies-literature | 2025

REPOSITORIES: biostudies-literature