Intrusion detection systems for IoT: Opportunities and challenges offered by edge computing

Key components of current cybersecurity methods are the Intrusion Detection Systems (IDSs), where different techniques and architectures applied to detect intrusions. IDSs can be based either on cross-checking monitored events with a database known intrusion experiences, as signature-based, or learning normal behavior system reporting whether anomalous occur, named anomaly-based. This work is dedicated application IDS Internet Things (IoT) networks, also edge computing used support implementation. Specific attention given which leverage device classification at edge. New challenges that arise when deploying an in scenario identified remedies proposed.