The Semantics of Anomalies in IoT Integrated BlockChain Network

Abstract

The recent substantial increase of Internet connected devices can be attributed to the new paradigm known as Internet of Things (IoT). IoT refers to objects that are connected and able to smartly function together to achieve a goal without human intervention. IoT systems have many weaknesses concerning confidentiality, security, privacy, and data integrity. This is due to having a large number of devices on a network, leading to the creation of anomalous behavior and security problems. For this reason, researchers have recently integrated IoT with Blockchain. Blockchain technology, a security by design technology that aims to overcome IoT weaknesses. This is because Blockchain permits validation, non-repudiation, reliability, controls authorization and automation of networks. However, Blockchain-based systems/networks may still face malicious attacks that threaten their security. This paper proposes using a link-mining tool based on anomaly detection within Blockchain networks. Aiming at gathering Meta-data in the form of forks (i.e. divergent paths from the Blockchain protocol) in order to find the semantic interpretation of anomalous paths/activities, through mutual information based measure. This tool will aid in the prevention of malicious attacks and improve the security of the Blockchain network and IoT devices.