Automatic Monitoring System for Security Using IoT Devices and Smart Contracts

Abstract

With the recent technological advances in the design of IoT devices and their widespread use, it has become increasingly common for alarm services that provide security for facilities to use IoT devices. However, the conventional centralized management of such IoT devices involves risks, such as data falsification that is vulnerable to cyber-attacks, as well as problems pertaining to the data volume, integrity, and reliability of the IoT devices themselves. Therefore, managing the logs of a large number of IoT devices is difficult. For this reason, blockchain is often used in forensics and other applications. However, to the best of our knowledge, there has been no research to-date that can automatically determine the actual level of anomalies from the logs of IoT devices using smart contracts. In this study, we propose a method to securely record the logs of IoT devices in a blockchain and use those logs to automatically detect anomalies. We also propose a method to estimate the degree of anomalies based on the logs using smart contracts and automate the sequence of events performed by the security companies.