Secure and Smart Home System

The idea of a Secure and Smart Home System is obtaining attention for the previous few years. The key challenges during a sensible home are intelligent higher cognitive process, secure identification, and authentication of the IoT devices, continuous property, knowledge security, and privacy pr

Project Title

Secure and Smart Home System

Project Area of Specialization

Internet of Things

Project Summary

The idea of a Secure and Smart Home System is obtaining attention for the previous few years. The key challenges during a sensible home are intelligent higher cognitive process, secure identification, and authentication of the IoT devices, continuous property, knowledge security, and privacy problems. the present systems are targeting one or 2 of those problems whereas a wise home automation system that's not solely secure however conjointly has the intelligent higher cognitive process and analytical skills are that the want of your time We have a tendency to gift a unique plan of a wise home that uses a machine-learning rule (Support Vector Machine) for intelligent higher cognitive process and conjointly uses blockchain technology to confirm identification and authentication of the IoT devices. rising blockchain technology plays an important role by providing a reliable, secure, and suburbanized mechanism for identification and authentication of the IoT devices utilized in the projected home automation system. Moreover, the SVM classifier is applied to classify the standing of devices utilized in the projected sensible home automation system into one amongst the 2 classes, i.e., “ON” and “OFF.” this technique relies on Raspberry Pi, 5 V relay circuit, and a few sensors. A mobile application is developed victimization the golem platform. Raspberry Pi acting because the server maintains the info of every appliance. The communications protocol internet interface and apache server are used for communication among the golem app and Raspberry Pi. The projected plan is tested within the research lab and world to validate its effectiveness and utility. it's conjointly ensured that the hardware and technology utilized in the projected planar low cost, simply on the market, and replicable. The experimental results highlight its significance and validate the proof of the conception.

Project Objectives

This system includes two modes, the admin aspect during which the user ready to style the whole image of the house and therefore the user aspect during which the user ready to manage every device of the house with a straightforward GUI-based interface. The projected system additionally has decision-making ability concerning the standing of every device of the house. A machine learning algorithmic rule SVM with a linear kernel is applied for deciding concerning the standing of home appliances either ON or OFF. The conferred approach additionally ensures secure identification and authentication of IoT devices exploitation blockchain technology, whereas the present systems that haven't copped with intelligent deciding and analytical talents are the necessity of your time. the present system additionally doesn't offer secure communication between IoT devices. Moreover, this project is user acceptance tested verified, and operational in several homes. It provides simplicity, flexibility, responsibility, and a cheap system that's reasonable to lower-middle-class families too.

Project Implementation Method

We have a tendency to gift a unique plan of a wise home that uses a machine-learning rule (Support Vector Machine) for intelligent higher cognitive processes and conjointly uses blockchain technology to confirm identification and authentication of the IoT devices. rising blockchain technology plays an important role by providing a reliable, secure, and suburbanized mechanism for identification and authentication of the IoT devices utilized in the projected home automation system. Moreover, the SVM classifier is applied to classify the standing of devices utilized in the projected sensible home automation system into one amongst the 2 classes, i.e., “ON” and “OFF.” this technique relies on Raspberry Pi, 5 V relay circuit, and a few sensors. A mobile application is developed victimization the golem platform. Raspberry Pi acting because the server maintains the info of every appliance. The communications protocol internet interface and apache server are used for communication among the golem app and Raspberry Pi. The projected plan is tested within the research lab and world to validate its effectiveness and utility. it's conjointly ensured that the hardware and technology utilized in the projected planar low cost, simply on the market, and replicable. The experimental results highlight its significance and validate the proof of the conception.

Benefits of the Project

A machine learning algorithmic rule SVM with a linear kernel is applied for deciding concerning the standing of home appliances either ON or OFF. The conferred approach additionally ensures secure identification and authentication of IoT devices exploitation blockchain technology, whereas the present systems that haven't copped with intelligent deciding and analytical talents are the necessity of your time. the present system additionally doesn't offer secure communication between IoT devices. Moreover, this project is user acceptance tested verified, and operational in several homes. It provides simplicity, flexibility, responsibility, and a cheap system that's reasonable to lower-middle-class families too.

Technical Details of Final Deliverable

Raspberry Pi acting because the server maintains the info of every appliance. The communications protocol internet interface and apache server are used for communication among the golem app and Raspberry Pi. The projected plan is tested within the research lab and world to validate its effectiveness and utility. it's conjointly ensured that the hardware and technology utilized in the projected planar low cost, simply on the market, and replicable. The experimental results highlight its significance and validate the proof of the conception. Moreover, the SVM classifier is applied to classify the standing of devices utilized in the projected sensible home automation system into one amongst the 2 classes, i.e., “ON” and “OFF.” this technique relies on Raspberry Pi, 5 V relay circuit, and a few sensors. A mobile application is developed victimization the golem platform.

Final Deliverable of the Project

HW/SW integrated system

Core Industry

IT

Other Industries

Core Technology

Internet of Things (IoT)

Other Technologies

Sustainable Development Goals

Good Health and Well-Being for People, Decent Work and Economic Growth, Industry, Innovation and Infrastructure, Responsible Consumption and Production, Life on Land

Required Resources

If you need this project, please contact me on contact@adikhanofficial.com