A research on secure smart home based on the Internet of Things

Yuan, Xiurui; Peng, Shuguang

doi:10.1109/icist.2012.6221744

Cited by 12 publications

(4 citation statements)

References 3 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Nowadays, people pay more attention to a safe and comfortable living environment in line with the improvement of their security consciousness. People's behavior is being monitored to protect and manage a piece of con dential information [2]. Thus, it is very much in line with the home security system that many people practice today.…”

Section: Introductionmentioning

confidence: 99%

Android-based Home Security Application

Sukri

2023

Preprint

View full text Add to dashboard Cite

As the development of technology keeps on growing rapidly, the use of smart technology in our daily life is getting demand. The Android-based Home Security Application was developed to ease users to know the current situation regarding their house at any time they want especially when they are away from home. This project uses a motion detection sensor to detect a moving entity in the area where the system is deployed. The motion detection sensor and alarm system that is implemented in the application system will enable users to know the real situation that may happen at that time. As a result of the project, the user can use the application to view the current situation of their house and an alert message will be notified via the application system if a motion is detected especially when they are away. It is to ensure the users know the current situation in their house. In terms of security, the combination of the motion sensor and alarm system in this project may be more reliable and secure with the neat and straightforward user interface that may ease users to navigate around the application system.

show abstract

Section: Introductionmentioning

confidence: 99%

Android-based Home Security Application

Sukri

2023

Preprint

View full text Add to dashboard Cite

show abstract

“…The theoretical framework for the development of a smart environment has been accelerated by the advent of flexible, configurable tools in contemporary smart home practices, such as spatial interactions for sensible space exploration [ 2 , 3 , 4 , 5 ] and mapping from physical to digital infrastructure sensors [ 6 , 7 , 8 ] proposed theoretical models for connecting virtual models to smart physical models [ 9 , 10 , 11 , 12 ].…”

Section: Introductionmentioning

confidence: 99%

“…The agent will be based on the single areas’ user to find out their own consumption demand and the agent will help the user in planning the energy and smart environment scheduling automatic and give the feedback to the user. At the same time, a smart sensor provides users with a real-time feedback mechanism for energy consumption, achieving the goal of energy-saving and emission reduction without influencing users’ daily normal usage [ 7 ]. Thus, a smart sensor can help users to simulate their behaviors and current usage to receive feedback and advice.…”

Section: Introductionmentioning

confidence: 99%

A Network Sensor Fusion Approach for a Behaviour-Based Smart Energy Environment for Co-Making Spaces

Chang

Huang

Hung

et al. 2020

Sensors

View full text Add to dashboard Cite

User behaviour and choice is a significant parameter in the consumption patterns of energy in the built environment. This paper introduces a behavior-based approach for developing smart energy applications. With the rapid development of wireless sensor networks and the Internet of Things (IoT), human-computer interfaces can be created through the mapping of user experiences. These applications can provide users with dynamic feedback on their energy consumption patterns in their built environment. The paper describes a “Sensible Energy System” (SENS) that is based on user experience design methods with sensor network technology. Through SENS, solar energy simulation is combined with device consumption data in order to achieve an IoT network to facilitate the interaction between user behaviors and electricity consumption. The interaction between users and devices through SENS can not only optimize power consumption, but also provide consumers with additional choice and dynamic decision making regarding their consumption. This article provides an (1) understanding and analysis of users’ spatial interaction, explains the (2) planning of the new smart environment design and user experiences, discusses (3) designing a suitable Wireless sensor network (WSN) agent and energy connection, describes (4) the information that has been collected, and (5) incorporates a rooftop solar potential simulation for predicting energy outputs into the sensor network model.

show abstract

“…A secured smart home was suggested by Yuan and Peng based on IoT by interfacing the web and smart phone applications for improving the user experience [3]. The authors provide a full solution to develop a smart home by using hardware design, intelligent controlling method, pervasive computing and virtual reality within their model.…”

Section: Introductionmentioning

confidence: 99%

Place-based Uncertainty Prediction using IoT Devices for a Smart Home Environment

Jadi¹

2020

IJACSA

View full text Add to dashboard Cite

In this work, an uncertainty prediction method for the home environment is proposed using the IoT devices (sensors) for predicting uncertainties using place-based approach. A neural network (NN) based smart communication system was implemented to test the results obtained from placebased approach using the inputs from sensors linked with internet of things (IoT). In general, there are so many smart systems for home automation is available for alerting the owners using IoT, but they can communicate only after an accident happens. But it is always better to predict a hazard before it happens is very important for a safe home environment due to the presence of kids and pet animals at home in the absence of parents and guardians. Therefore, in this work, the uncertainty prediction component (UPC) using place-based approach helps to make suitable prediction decisions and plays a vital role to predict uncertain events at the smart home environment. A comparison of different classifiers like multi-layer perceptrons (MLP), Bayesian Networks (BN), Support Vector Machines (SVM), and Dynamic Time Warping (DTW) is made to understand the accuracy of the obtained results using the proposed approach. The results obtained in this method shows that place-based approach is providing far better results as compared to the global approach with respect to training and testing time as well. Almost a difference of 10 times is seen with respect to the computing times, which is a good improvement to predict uncertainties at a faster rate.

show abstract

A research on secure smart home based on the Internet of Things

Cited by 12 publications

References 3 publications

Android-based Home Security Application

Android-based Home Security Application

A Network Sensor Fusion Approach for a Behaviour-Based Smart Energy Environment for Co-Making Spaces

Place-based Uncertainty Prediction using IoT Devices for a Smart Home Environment

Contact Info

Product

Resources

About