IoT based home automation

Garg, Shaam; Yadav, Amit; Jamloki, Shivam; Sadana, Aanchal; Tharani, Kusum

doi:10.1080/02522667.2020.1721581

Cited by 8 publications

(4 citation statements)

References 6 publications

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“…Garg et al presented [32] a home automation system for sensing and maintaining appropriate environmental home conditions and to provide security from theft or hazard using sensors and controlling home appliances. It uses a cloud database to retrieve commands that control the home over the Internet.…”

Section: Related Literaturementioning

confidence: 99%

“…An efficient smart home automation system is described as a set of methods intended to make a traditional home intelligent through the use of IoT technologies for enhanced home security [32], energy efficiency [12], remote control of home appliances [16,33], comfort [34], convenience, and detection of movement in the house [27].…”

Section: Motivation and Conceptualizationmentioning

confidence: 99%

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Internet of Things-Based Intelligent Smart Home Control System

Taiwo

Ezugwu

2021

Security and Communication Networks

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The smart home is now an established area of interest and research that contributes to comfort in modern homes. With the Internet being an essential part of broad communication in modern life, IoT has allowed homes to go beyond building to interactive abodes. In many spheres of human life, the IoT has grown exponentially, including monitoring ecological factors, controlling the home and its appliances, and storing data generated by devices in the house in the cloud. Smart home includes multiple components, technologies, and devices that generate valuable data for predicting home and environment activities. This work presents the design and development of a ubiquitous, cloud-based intelligent home automation system. The system controls, monitors, and oversees the security of a home and its environment via an Android mobile application. One module controls and monitors electrical appliances and environmental factors, while another module oversees the home’s security by detecting motion and capturing images. Our work uses a camera to capture images of objects triggered by their motion being detected. To avoid false alarms, we used the concept of machine learning to differentiate between images of regular home occupants and those of an intruder. The support vector machine algorithm is proposed in this study to classify the features of the image captured and determine if it is that of a regular home occupant or an intruder before sending an alarm to the user. The design of the mobile application allows a graphical display of the activities in the house. Our work proves that machine learning algorithms can improve home automation system functionality and enhance home security. The work’s prototype was implemented using an ESP8266 board, an ESP32-CAM board, a 5 V four-channel relay module, and sensors.

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Section: Related Literaturementioning

confidence: 99%

Section: Motivation and Conceptualizationmentioning

confidence: 99%

Internet of Things-Based Intelligent Smart Home Control System

Taiwo

Ezugwu

2021

Security and Communication Networks

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“…Moreover, a system that provides convenience to users by connecting to a cloud server is gradually emerging. 3–5…”

Section: Introductionmentioning

confidence: 99%

“…Moreover, a system that provides convenience to users by connecting to a cloud server is gradually emerging. [3][4][5] IoT technology enables a hyper-connected society, but it can expose the entire home network if security is not properly managed. [6][7][8] The security vulnerabilities of smart-home network-connected devices can be classified into three categories.…”

Section: Introductionmentioning

confidence: 99%

Secure device control scheme with blockchain in a smart home

Park

Chang

2022

Measurement and Control

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The Internet of Things (IoT) and blockchain technologies characterizing the era of the fourth industrial revolution have enabled smart home networks to support their various systems and services. In a blockchain-based smart-home network environment, all connected IoT devices must be controlled safely and efficiently. Nevertheless, existing block-chain-based smart-home IoT systems pose a delay issue due to the necessary block generation time. In addition, IoT devices installed in smart homes should be able to prevent forgery attacks such as spoofing because they are often directly associated with personal information. In this study, we proposed an enhanced method to control smart home devices safely and efficiently by applying the zero-knowledge proof combined with a blockchain-based IoT system to protect the public keys of home network devices and the communication among them. The proposed model was approximately 10 s faster than the block generation-based model when it communicated three times in rinkeby, which is one of the test networks of Ethereum.

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