Low-Complexity Signature-Based Malware Detection for IoT Devices

摘要: The ominous threat from malware in critical systems has forced system designers to include detection techniques their ensure a timely response. However, the widely used signature-based implemented detect multitude of potential these also leads large non-functional overhead. Such methods do not lend well extremely resource constrained IoT devices. Hence, this paper, we propose low complexity method for devices that only identifies and stores subset signatures group instead storing separate signature every malware, as done existing work. Experimental results show proposed approach can still achieve 100% rate while relying on very number detection.