Abstract
The idea of a smart home is getting attention for the last few years. The key challenges in a smart home are intelligent decision making, secure identification, and authentication of the IoT devices, continuous connectivity, data security, and privacy issues. The existing systems are targeting one or two of these issues whereas a smart home automation system that is not only secure but also has intelligent decision making and analytical abilities is the need of time. In this paper, we present a novel idea of a smart home that uses a machine learning algorithm (Support Vector Machine) for intelligent decision making and also uses blockchain technology to ensure identification and authentication of the IoT devices. Emerging blockchain technology plays a vital role by providing a reliable, secure, and decentralized mechanism for identification and authentication of the IoT devices used in the proposed home automation system. Moreover, the SVM classifier is applied to classify the status of devices used in the proposed smart home automation system into one of the two categories, i.e., “ON” and “OFF.” This system is based on Raspberry Pi, 5 V relay circuit, and some sensors. A mobile application is developed using the Android platform. Raspberry Pi acting as the server maintains the database of each appliance. The HTTP web interface and apache server are used for communication among the Android app and Raspberry Pi. The proposed idea is tested in the lab and real life to validate its effectiveness and usefulness. It is also ensured that the hardware and technology used in the proposed idea are cheap, easily available, and replicable. The experimental results highlight its significance and validate the proof of the concept.
Highlights
In this age of technology, the Internet of ings refers to the idiosyncratically identifiable objects and their virtual representation in cyberspace [1,2,3,4]
The functional behavior of the project assumes that the user is outside the home and accessing each device remotely. is scenario assumes the involvement of using the Microsoft Azure cloud database
We have stored data taken from the history tab of the developed App and stored it in a Microsoft Excel sheet and further used it to show the relationship between data that are discussed . e excel sheet contains the values of temperature, smoke, and light. ere is a status column where 0 represents the “OFF” status of smoke and light while 1 represents the “ONN” status of smoke and light
Summary
In this age of technology, the Internet of ings refers to the idiosyncratically identifiable objects and their virtual representation in cyberspace [1,2,3,4]. Irdly, there is no prediction of the electricity bill for the users, and all the previous home automation solutions are very expensive. E proposed solution uses GSM technology which means a Global System for Mobile Communication (GSM) modem to control home appliances such as light, conditional system, and security system via Short Message Service (SMS) text messages. (vi) e proposed solution provides a prototype home design for the ease of the users. (vii) e proposed solution has an intelligent decisionmaking ability to classify the status of IoT devices used in the smart home automation system. A few other issues are limited control of light and device on/off and limited GUI support for Symbian OS cell phones; limited range (50–100 m)
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