Intrusion Detection Systems for IoT: opportunities and challenges offered by Edge Computing and Machine Learning. (arXiv:2012.01174v2 [cs.CR] UPDATED)

Key components of current cybersecurity methods are the Intrusion Detection
Systems (IDSs) were different techniques and architectures are applied to
detect intrusions. IDSs can be based either on cross-checking monitored events
with a database of known intrusion experiences, known as signature-based, or on
learning the normal behavior of the system and reporting whether some anomalous
events occur, named anomaly-based. This work is dedicated to survey the
application of IDS to the Internet of Things (IoT) networks, where also the
edge …

challenges computing detection edge edge computing intrusion intrusion detection iot machine machine learning systems