Advancing IoT Security Posture K-Means Clustering for Malware Detection
Ali J. Dayoub, Marwan Omar · Advances in medical technologies and clinical practice book series · 2024
The ever-expanding internet of things (IoT) ecosystem has brought with it new challenges in terms of security and malware detection. In this chapter, the authors introduce a novel approach to IoT malware detection using K-means clustering. They present comprehensive results and analysis demonstrating the effectiveness of the approach compared to traditional mobile-net IoT and image-net IoT methods. The approach achieves superior precision, recall, and overall performance, while maintaining a low false positive rate. This research provides valuable insights into the potential of K-means clustering in IoT security and sets the stage for further research in this critical domain.