Smart Home Applications

*Internet of Things (IoT) for Automated and Smart Applications*

level of security of the installations.

*files/SMART-HOUSE\_2\_DCook.jpg).*

**Figure 3.**

activity and send warnings via SMS. Also video processing analysis can be performed to control the traffic density on a bridge. The smart tunnel can use several sensors to monitor humidity, displacement, and temperature to call for appropriate maintenance if a problem is detected. All of these applications are using sensors to detect and collect data that are used to give a proper decision that maintains a high

Electrical Engineering Department, Southern University and A&M College,

© 2019 The Author(s). Licensee IntechOpen. This chapter is distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/ by/3.0), which permits unrestricted use, distribution, and reproduction in any medium,

\*Address all correspondence to: yasser\_ismail@subr.edu

provided the original work is properly cited.

*SMART home sensors communication through the internet of things. (http://www.nibib.nih.gov/sites/default/*

**6**

**Author details**

Baton Rouge, Louisiana, USA

Yasser Ismail

**9**

**Chapter 2**

**Abstract**

Home Systems

of IoT-enabled smart systems.

gain data-driven business insights.

**1. Introduction**

home context.

Privacy of IoT-Enabled Smart

*Avirup Dasgupta, Asif Qumer Gill and Farookh Hussain*

Digital ecosystems are going through a period of change due to the advancement in technologies such as Internet of Things (IoT) as well as proliferation of less expensive hardware sensors. Through this chapter, we present current emerging trends in IoT in different industry sectors as well as discuss the key privacy challenges impeding the growth of IoT to reach its potential in the smart home context. The majority of the existing literature on IoT smart home platforms focuses on functionalities provided by smarter connected devices; however, it does not address the concerns from a consumer's viewpoint. Thus, the key questions are: What are the privacy concerns related to IoT, particularly from a "smart home device" consumer viewpoint? What are the existing remedial approaches for privacy management? This chapter proposes a framework to assist smart home user and IoT device manufacturer to make informed privacy management decisions. The findings of this research intend to help practitioners and researchers interested in the privacy

**Keywords:** IoT, smart sensors, data governance, privacy, framework

In last few years, we have observed a growing interest in IoT applications, which are being developed for the industries and ecosystems such as healthcare, smart home, manufacturing and agriculture ecosystems [1]. Presently, it is anticipated that there are about 16 billion IoT units installed worldwide generating vast amount of data. According to forecast reports from Frost and Sullivan, the number of interconnected objects is expected to increase above 60 billion by 2024 [2]. Aggregated data collected from different sensors are being used by organizations increasingly to

The growth of IoT has been possible due to the advancement of technologies like cheaper hardware sensors, ipv6, wireless coverage, smartphones and processing power of CPU [3]. While the use of IoT worldwide has been high, the maturity level of the solutions using this technology is varied. In this chapter, we highlight the various components making up IoT, evolution of IoT and the concerns related to privacy. We particularly focus on the IoT uses in the smart

IoT ecosystem stands on the building blocks of multiple underlying technologies such as sensing (sensors and actuators), connectivity (mobile), analytics and

computing. A typical IoT ecosystem involves the following stages [4].
