Intelligent Two-Tier Malware and Intrusion Detection System for Secure WSNs

Abstract

Protecting Wireless Sensor Networks (WSNs) from malicious nodes is a major challenge due to its dynamic and resource-constrained nature. To address this problem, we propose a Two-Tier Security Model for Node Verification. The first tier identifies trustworthy nodes and isolates dangerous actors by computing trust ratios. To confirm valid nodes and stop unauthorized access, the second tier employs an asymmetric random key generator. This two-pronged approach maintains effective communication while significantly lowering security risks. Experiments confirm the model's advantages in terms of packet delivery rate, assault resistance, and key-matching accuracy.