This paper presents a novel approach for mitigating wormhole attacks on wireless networks using propagation delay timing. The wormhole attack is a persistent security threat that threatens the integrity of network communications, potentially leading to data theft or other malicious activities. While various methods exist for combating wormhole attacks, our approach offers advantages that set it apart. Our approach involves a combination of proactive and reactive measures, harnessing box plot analysis and weighting factor techniques to identify and isolate outlier node links effectively. Unlike traditional methods, our solution not only detects outlier links but also defines dynamic weighting factors, providing a more adaptive response to network anomalies. To evaluate the effectiveness of our approach, testing was conducted using a custom-built testbed running on an external network simulator. The results demonstrate that our proposed technique identifies outlier links, defines appropriate weighting factors, and isolates questionable links. Compared to existing methodologies, our approach exhibits better performance with easier installation and lower overhead while adapting to evolving attack strategies. In conclusion, this paper presents a practical and highly effective solution for mitigating wormhole attacks in wireless networks, distinguishing itself through its adaptability to changing networks while maintaining ease of installation and low overhead.