A Review: Collaborative Intrusion Detection for IoT integrating the Blockchain technologies

Abstract

Several anomaly detection systems prototypes are deployed to set up real-world solutions exclusively dedicated to the banking industry due to the high potentials of attacks. Exchanging highly security-sensitive data over a network between nodes requires high-security levels of IoT devices, representing a big challenge. Thus, many systems were developed to detect and predict any malicious activity. In our digital world, it is very challenging to master the fact that we, as a whole internet community, create an uncountable number of bytes of data every 24 hours. This truth leads researchers to explore and discover new technologies to handle massive data by ensuring individuals security and privacy. Inspired by this, our work supports researchers in this field by providing a selective overview of the most relevant findings investigating and proposing solutions on Intrusion Detection Systems (IDS) over the Internet of Thing (IoT). Furthermore, the Blockchain integration as the principal registry for safe data storage is well explained and detailed while covering security qualities that analyze and classify different confronted open challenges in this path.