Enhancing Smart Home Security and Privacy: Integrating Blockchain and Machine Learning
Jianwen Sheng · Applied and Computational Engineering · 2024
A smart home is a type of home device connected through the Internet of Things (IoT) technology. With the rapid development of IoT applied to smart homes, this brings great convenience to people and also raises some privacy and security issues. As IoT collects privacy and a large amount of data about users that may be stolen by unscrupulous people through some cyberattacks, people are beginning to pay more and more attention to the security of the smart home. Blockchain is a distributed database technology that stores data in the form of blocks and uses cryptographic methods to ensure the security and integrity of the data. And mechanical learning can detect some network attacks. This study proposes a smart home architecture that integrates blockchain technology and mechanical learning. Combining blockchain technology, machine learning, and smart homes can effectively identify some cyber attacks while ensuring privacy and security so that people can take appropriate measures.