Optimizing Malware Detection in IoT Networks: Leveraging Resource-Aware Distributed Computing for Enhanced Security

arXiv:2404.10012v1 Announce Type: new
Abstract: In recent years, networked IoT systems have revo- lutionized connectivity, portability, and functionality, offering a myriad of advantages. However, these systems are increasingly targeted by adversaries due to inherent security vulnerabilities and limited computational and storage resources. Malicious applications, commonly known as malware, pose a significant threat to IoT devices and networks. While numerous malware detection techniques have been proposed, existing approaches often overlook the resource constraints inherent in IoT environ- ments, assuming abundant resources …

adversaries applications arxiv aware computational computing connectivity cs.cr cs.dc detection distributed distributed computing iot malicious malware malware detection networks resource resources security storage systems vulnerabilities