IoT based smart home automation using blockchain and deep learning models

【Author】 Umer, Muhammad; Sadiq, Saima; Alhebshi, Reemah M.; Sabir, Maha Farouk; Alsubai, Shtwai; Al Hejaili, Abdullah; Khayyat, Mashael M.; Eshmawi, Ala'Abdulmajid; Mohamed, Abdullah

【Source】PEERJ COMPUTER SCIENCE

【影响因子】2.411

【Abstract】For the past few years, the concept of the smart house has gained popularity. The major challenges concerning a smart home include data security, privacy issues, authentication, secure identification, and automated decision-making of Internet of Things (IoT) devices. Currently, existing home automation systems address either of these challenges, however, home automation that also involves automated decision -making systems and systematic features apart from being reliable and safe is an absolute necessity. The current study proposes a deep learning-driven smart home system that integrates a Convolutional neural network (CNN) for automated decision-making such as classifying the device as "ON" and "OFF" based on its utilization at home. Additionally, to provide a decentralized, secure, and reliable mechanism to assure the authentication and identification of the IoT devices we integrated the emerging blockchain technology into this study. The proposed system is fundamentally comprised of a variety of sensors, a 5 V relay circuit, and Raspberry Pi which operates as a server and maintains the database of each device being used. Moreover, an android application is developed which communicates with the Raspberry Pi interface using the Apache server and HTTP web interface. The practicality of the proposed system for home automation is tested and evaluated in the lab and in real-time to ensure its efficacy. The current study also assures that the technology and hardware utilized in the proposed smart house system are inexpensive, widely available, and scalable. Furthermore, the need for a more comprehensive security and privacy model to be incorporated into the design phase of smart homes is highlighted by a discussion of the risks analysis' implications including cyber threats, hardware security, and cyber attacks. The experimental results emphasize the significance of the proposed system and validate its usability in the real world.

【Keywords】Internet of things; Cyber threats; Hardware security; Sensors; Home automation; Cyber attacks

【发表时间】2023 MAY 22

【收录时间】2023-06-20

【文献类型】理论模型

【主题类别】

区块链应用-实体经济-智能家居