scholarly journals Development of a system for the security assessment for smart homes based on the IoT

Connectivity ◽  
2021 ◽  
Vol 149 (1) ◽  
Author(s):  
Ya. O. Halay ◽  
◽  
A. P. Bondarchuk ◽  
O. M. Tkalenko ◽  
O. V. Polonevych ◽  
...  

This article is about developing a security assessment system for smart homes that use Internet of Things technology. The Internet of Things (IoT) is a nascent paradigm focused on the relationship of things or devices to each other and users. Over time, most connections on the Internet of Things go from «people interact with things» to «things interact with things». This technology is expected to be an important milestone in the development of smart homes to bring convenience and efficiency to our lives and our homes. But the introduction of this IoT technology in our homes will be important for the safety of these technologies. Connecting all smart objects inside the house to the Internet and to each other leads to new security and privacy issues, such as the confidentiality, authenticity, and integrity of the data that is perceived and exchanged. These technologies are very vulnerable to various security attacks that make a smart home based on IoT unsafe to live in, so security risks need to be assessed to assess the situation of smart homes. For any technology to be successful and widely used, it must gain the trust of users, ensuring sufficient security and confidentiality. As in all sectors, maintaining security will be the most important challenge to overcome. As homes become more computerized and filled with devices, potential computer security attacks and their impact on residents need to be investigated. This paper uses a methodology that focuses mainly on information assets and examines containers (technical, physical and human) and conducts security risk assessments to highlight various security vulnerabilities in the smart home based on the Internet of Things, the consequences and proposing measures against identified problems. that meet most safety requirements. Finally, it offers recommendations for users.

Sensors ◽  
2020 ◽  
Vol 20 (10) ◽  
pp. 2783 ◽  
Author(s):  
Linh-An Phan ◽  
Taehong Kim

Smart home is one of the most promising applications of the Internet of Things. Although there have been studies about this technology in recent years, the adoption rate of smart homes is still low. One of the largest barriers is technological fragmentation within the smart home ecosystem. Currently, there are many protocols used in a connected home, increasing the confusion of consumers when choosing a product for their house. One possible solution for this fragmentation is to make a gateway to handle the diverse protocols as a central hub in the home. However, this solution brings about another issue for manufacturers: compatibility. Because of the various smart devices on the market, supporting all possible devices in one gateway is also an enormous challenge. In this paper, we propose a software architecture for a gateway in a smart home system to solve the compatibility problem. By creating a mechanism to dynamically download and update a device profile from a server, the gateway can easily handle new devices. Moreover, the proposed gateway also supports unified control over heterogeneous networks. We implemented a prototype to prove the feasibility of the proposed gateway architecture and evaluated its performance from the viewpoint of message execution time over heterogeneous networks, as well as the latency for device profile downloads and updates, and the overhead needed for handling unknown commands.


2019 ◽  
Author(s):  
Israel C. Vidal ◽  
Franck Rousseau ◽  
Javam C. Machado

With the growth of the Internet of Things (IoT) and Smart Homes, there is an ever-growing amount of data coming from within people’s houses. These data are intrinsically private and should be treated carefully, despite their high value for analysis. In this work, we propose a differentially private strategy to estimate frequencies of values in the context of Smart Home data.


The future of Internet of Things (IoT) is already upon us. The Internet of Things (IoT) is the ability to provide everyday devices with a way of identification and another way for communication with each other. The spectrum of IoT application domains is very large including smart homes, smart cities, wearables, e-health, etc. Consequently, tens and even hundreds of billions of devices will be connected. Such devices will have smart capabilities to collect, analyze and even make decisions without any human interaction. Security is a supreme requirement in such circumstances, and in particular authentication is of high interest given the damage that could happen from a malicious unauthenticated device in an IoT system. While enjoying the convenience and efficiency that IoT brings to us, new threats from IoT also have emerged. There are increasing research works to ease these threats, but many problems remain open. To better understand the essential reasons of new threats and the challenges in current research, this survey first proposes the concept of “IoT features”. Then, the security and privacy effects of eight IoT new features were discussed including the threats they cause, existing solutions and challenges yet to be solved.


2020 ◽  
Vol 10 (9) ◽  
pp. 3074 ◽  
Author(s):  
Samad Sepasgozar ◽  
Reyhaneh Karimi ◽  
Leila Farahzadi ◽  
Farimah Moezzi ◽  
Sara Shirowzhan ◽  
...  

This article reviewed the state-of-the-art applications of the Internet of things (IoT) technology applied in homes for making them smart, automated, and digitalized in many respects. The literature presented various applications, systems, or methods and reported the results of using IoT, artificial intelligence (AI), and geographic information system (GIS) at homes. Because the technology has been advancing and users are experiencing IoT boom for smart built environment applications, especially smart homes and smart energy systems, it is necessary to identify the gaps, relation between current methods, and provide a coherent instruction of the whole process of designing smart homes. This article reviewed relevant papers within databases, such as Scopus, including journal papers published in between 2010 and 2019. These papers were then analyzed in terms of bibliography and content to identify more related systems, practices, and contributors. A designed systematic review method was used to identify and select the relevant papers, which were then reviewed for their content by means of coding. The presented systematic critical review focuses on systems developed and technologies used for smart homes. The main question is ”What has been learned from a decade trailing smart system developments in different fields?”. We found that there is a considerable gap in the integration of AI and IoT and the use of geospatial data in smart home development. It was also found that there is a large gap in the literature in terms of limited integrated systems for energy efficiency and aged care system development. This article would enable researchers and professionals to fully understand those gaps in IoT-based environments and suggest ways to fill the gaps while designing smart homes where users have a higher level of thermal comfort while saving energy and greenhouse gas emissions. This article also raised new challenging questions on how IoT and existing developed systems could be improved and be further developed to address other issues of energy saving, which can steer the research direction to full smart systems. This would significantly help to design fully automated assistive systems to improve quality of life and decrease energy consumption.


Energies ◽  
2021 ◽  
Vol 14 (23) ◽  
pp. 7913
Author(s):  
Elena Korneeva ◽  
Nina Olinder ◽  
Wadim Strielkowski

This paper focuses on the consumer preferences for the so-called “smart homes” (also known as “smart houses”) which represent a novel addition and a product of the on-going digitalization and the deployment of the Internet of Things (IoT). The major scientific contribution of our study is the empirical model build on the data from the online questionnaire conducted with randomly selected respondents (N = 523) from four European Union (EU) countries and Russia. Even though our results are subject to limitations (no Southern of Northern European countries are included in the scope of this research, which might have yielded different results due to the differences in wealth of citizens and climate in comparison to the Central and Eastern European countries or Germany), they demonstrate that the users included in our sample generally feel inclined to the smart homes technologies and perceive them as a plausible means for improving the safety and security of their lives. On the other hand, some respondents from our sample expressed their concerns over the cybersecurity and technology dependence issues associated with smart homes. It is also apparent that younger respondents (aged 16–35) featured in our research are more worried about their personal data being monitored and analyzed (with a pending threat of leakages). All these results are original and constitute an important scientific value-added to the field of research in smart home technologies and their acceptance by the general public. We demonstrate that the further enhancement of smart homes, and the increase of their popularity and affordability among the customers both in the Central and Eastern European countries and beyond, might depend on the development of the smart grids which these smart homes are an integral part of. The reliability of the smart systems constitutes the key element for achieving the satisfaction of the smart homes residents, and hence needs to be achieved and secured in an effective way. This would ensure the right mix and balance of energy security and efficiency for all customers involved in this process.


Author(s):  
Xhafer Krasniqi

The Internet of Things that is defined as anything that can be accessible anytime and anywhere provides connectivity to different objects and sensors around us and which will enable the transfer of different data between these objects and devices. A thing in the Internet of Things can be any natural or man-made object that can be assigned an IP address with a capability to exchange date over a network. There is a huge number of applications of IoT to benefit users, such as health monitors, smart homes, connected cars etc. If everything around us is connected and information about these things that can contain sensitive information, e.g. health and other personal information, are collected then these networks become very important and must be able to provide a proper security and privacy. It is believed that by 2020 there will be over 50 billion things that could be connected to Internet. Internet of things are very much associated with M2M (machine to machine communication) that is identified as a technology that makes objects smart, like smart homes, smart utility meters etc. M2M actually is considered to be a subset of IoT and which is mainly used for difficult and dangerous tasks, e.g. nuclear plants, etc. The deployment of IoT has already started and is expected to transform the way we live. According to Gartner, a technology research company, the Internet of Things has just reached the deployment stage by early adopters and the full deployment is expected in over ten years. From an industry angle, this paper will examine the market and technical trends of Internet of Things, main applications that will be supported by this technology, key issues and challenges faced by the industry, standards activities around IoT and finally the implementation landscape.


2020 ◽  
Author(s):  
Israel De Castro Vidal ◽  
André Luís da Costa Mendonça ◽  
Franck Rousseau ◽  
Javam De Castro Machado

With the growth of the Internet of Things (IoT) and Smart Homes, there is an ever-growing amount of data coming from within people's houses. These data are valuable for analysis and to discover patterns in order to improve services and produce resources more efficiently, e.g., using smart meter data to generate energy with less waste. Despite their high value for analysis, these data are intrinsically private and should be treated carefully. IoT data are fundamentally infinite, and this property makes it even more challenging to apply conventional models to achieve privacy. In this work, we propose a differentially private strategy to estimate frequencies of values in the context of Smart Home data, considering the infinite property of the data and focusing on getting better utility than state of the art.


Sensors ◽  
2019 ◽  
Vol 19 (4) ◽  
pp. 859 ◽  
Author(s):  
Alexandre Bissoli ◽  
Daniel Lavino-Junior ◽  
Mariana Sime ◽  
Lucas Encarnação ◽  
Teodiano Bastos-Filho

People with severe disabilities may have difficulties when interacting with their home devices due to the limitations inherent to their disability. Simple home activities may even be impossible for this group of people. Although much work has been devoted to proposing new assistive technologies to improve the lives of people with disabilities, some studies have found that the abandonment of such technologies is quite high. This work presents a new assistive system based on eye tracking for controlling and monitoring a smart home, based on the Internet of Things, which was developed following concepts of user-centered design and usability. With this system, a person with severe disabilities was able to control everyday equipment in her residence, such as lamps, television, fan, and radio. In addition, her caregiver was able to monitor remotely, by Internet, her use of the system in real time. Additionally, the user interface developed here has some functionalities that allowed improving the usability of the system as a whole. The experiments were divided into two steps. In the first step, the assistive system was assembled in an actual home where tests were conducted with 29 participants without disabilities. In the second step, the system was tested with online monitoring for seven days by a person with severe disability (end-user), in her own home, not only to increase convenience and comfort, but also so that the system could be tested where it would in fact be used. At the end of both steps, all the participants answered the System Usability Scale (SUS) questionnaire, which showed that both the group of participants without disabilities and the person with severe disabilities evaluated the assistive system with mean scores of 89.9 and 92.5, respectively.


In the past years, the scene has witnessed huge technological progress which made our lives simpler and flixper. After Wi-Fi and cellular communications networks’ improvements, with the parallel optimization of numerous embedded devices, momentum has risen globally and today gave us a concept that is the IoT or the Internet of Things. Where several contemporary technologies have been utilized and the developers have been advancing structures to collect data from sensor systems that may be sent to any part of the world over the Internet. The Internet of Things can be used for many purposes like controlling, tracking and managing systems. In this study, we presented the work of the MQTT internet routing protocol to exchange sensor information between two different devices. The IoT platform is about monitoring temperature and humidity in a smart home based on an MQTT protocol which makes this connection possible. However, the MQTT protocol works in publishing/ subscribing mode. The proposed work used an Esp8266NodeMCU as a publisher and Raspberry pi3 model (B) as a subscriber. Also, it used a dht11 sensor to measure the temperatures and humidity. The measurements were collected from sensors and alternated between the two devices through the MQTT broker (server). Node-Red and ThingSpeak designed as a website to share the data.


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