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An Intelligent, Secure, and Smart Home Automation System
Scientific Programming Pub Date : 2020-10-29 , DOI: 10.1155/2020/4579291
Rizwan Majeed 1 , Nurul Azma Abdullah 1 , Imran Ashraf 2 , Yousaf Bin Zikria 2 , Muhammad Faheem Mushtaq 1, 3 , Muhammad Umer 4
Affiliation  

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.

中文翻译:

智能、安全、智能的家庭自动化系统

智能家居的想法在过去几年受到关注。智能家居面临的主要挑战是物联网设备的智能决策、安全识别和身份验证、持续连接、数据安全和隐私问题。现有系统针对这些问题中的一两个,而不仅安全而且具有智能决策和分析能力的智能家居自动化系统是时间的需要。在本文中,我们提出了一种新的智能家居理念,它使用机器学习算法(支持向量机)进行智能决策,并使用区块链技术来确保物联网设备的识别和身份验证。新兴的区块链技术通过提供可靠、安全、以及用于识别和认证拟议家庭自动化系统中使用的物联网设备的分散机制。此外,SVM 分类器用于将所提出的智能家居自动化系统中使用的设备的状态分类为两类之一,即“开”和“关”。该系统基于 Raspberry Pi、5 V 继电器电路和一些传感器。移动应用程序是使用 Android 平台开发的。充当服务器的 Raspberry Pi 维护每个设备的数据库。HTTP Web 接口和 apache 服务器用于 Android 应用程序和 Raspberry Pi 之间的通信。提议的想法在实验室和现实生活中进行了测试,以验证其有效性和实用性。还确保所提出的想法中使用的硬件和技术便宜、易于获得且可复制。
更新日期:2020-10-29
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