Industrial Automatic Control Systems and Controllers Annotation << Back Optimizing Malware Detection in IoT Networks: Using Resource-Aware Distributed Computing to Improve Security Yarmonov A.S., Gorelikov R.S., Yavtukhovsky E.Yu., Vereshchagina E.A., Frolov A.V. In recent years, IoT network systems have revolutionized connectivity, portability, and functionality, offering many benefi ts. However, these systems are increasingly being targeted by attackers due to their inherent security vulnerabilities and limited computing and storage resources. Malicious applications, commonly known as malware, pose a signifi cant threat to IoT devices and networks. Although many malware detection methods have been proposed, existing approaches often overlook the resource limitations inherent in IoT environments by assuming suffi cient resources for detection tasks. The material proposed in the work solves this problem at least partially. Experimental analysis demonstrates the effectiveness of our proposed method, providing a signifi cant speedup of 9.8 times compared to on-device output while maintaining a high malware detection accuracy of 96.7 %. Keywords: Internet of Things, attacks, threats, malware, data. Pp. 14-22.