Understanding device integration bugs in smart home system

A blockchain-based dynamic and traceable data integrity verification scheme for smart homes

As smart building becomes increasingly popular, it enables many interesting applications, such as smart lock, elderly monitoring and remote healthcare.This paper will introduce one sub-system in the smart building: smart power system.This smart power system consists of an Android application, a cloud server and a smart socket.In addition, human-device interaction methods in this system are studied.

The development of the Internet and artificial intelligence promotes smart home systems been used widespreadly in modern society, which effectively improves people's life quality. However, limitations in functionality, closed ecosystem, and high costs make smart home systems are very impractical for the elderly. This article conducts a comprehensive analysis of the smart home development globally, summarizes the characteristics of smart home systems in different regions in the world, then considers the background of Chinese future aging population, and points out the trend of smart home technology in China. This article systematically evaluated the advantages and disadvantages of smart home systems in Europe and Asia. As a response to the aging population situation in China, this research proposes the "Smart Network" residential system, an integrated all-house smart home framework. This system aims at providing a cost-effective solution for the elderly and those people with limited self-care ability. It achieves the goal through excellent compatibility and an efficient intelligent platform, demonstrating the potential to enhance the life quality by incorporating localized those care needs of old age, intelligent environment adaptation, and predictive fall detection systems.

Environmental saving potentials of a smart home system from a life cycle perspective: How green is the smart home?

Introduction. Smart Home technology encompasses a range of intelligent devices designed for residential use. These devices present numerous opportunities to transform our lifestyles in the future. Smart Home technology has made significant contributions to enhancing safety and reliability while potentially altering our daily habits. In contemporary society, mobile phones serve purposes beyond mere communication. As technology evolves, the functionality of mobile phones expands, allowing them to be utilized for various applications. Currently, a wide array of applications and hardware is available in the market that can be integrated without necessitating further advancements in existing smartphones. Through network connectivity, mobile phones can facilitate the management of smart home systems, enabling users to control devices and receive alerts regarding potential theft or unauthorized access. The purpose of the paper is to establish a smart home system that allows for remote control of electronic devices and provides notifications of intrusions or movements in restricted areas. The devices are managed via mobile phones using the Short Message Service (SMS), with alerts also sent as SMS messages detailing activities occurring within the vicinity. 39 Results. A smart home system was developed that allows remote control of household electronic devices using a mobile phone. Control of the devices was facilitated through the transmission of instructions via SMS, with alerts also being delivered in the same manner. A Hall Effect proximity sensor was employed to detect unauthorized entry, while a passive infrared sensor was utilized to monitor movement in restricted zones. Additionally, a temperature sensor functioned as a heat detector, and an LED light was incorporated to demonstrate the management of electronic devices. The Arduino Uno Board served as the microcontroller, and the SIM900 GPRS/GSM module was utilized for communication between the microcontroller and the mobile device. Notably, the mobile phone did not require any specialized applications or hardware; any mobile phone capable of sending and receiving SMS could function as a mobile station. Conclusion. Thus, the developed Smart Home system demonstrated its effectiveness. The microcontroller unit effectively responds to commands issued by the mobile phone, adapting to the application's requirements and activating an alarm in critical situations. Additionally, the application successfully facilitates the remote management of electronic devices.

Internet of things is the trending direction when it comes to designing smart living environment. One of the popular applications of Internet of things is the smart home system. A smart home system usually consists of various types of connected sensors, actuators, appliances and a controller. The controller analyzes the data reported by the sensors and sends out messages to electric appliances and other sensors to ask them to behave accordingly. There are a lot of smart home designs proposed in the literature to make the systems smarter and more comfortable. However, little work has considered the security and privacy issues in smart home systems. In this paper, we analyze the differences of security and privacy issues that lie in the smart home systems, smart grid, and wireless sensor networks. Further, we propose our own solutions that achieves privacy preservation during the communications between end sensors and appliances and the controller.

In the recent years, the smart home systems have achieved a colossal attention for making people lives easier and more comfortable. In fact, they allow them to control the whole environment of their houses in commodious and effective way. One of the technological progress fruits is the production of a huge number of highly developed and smart systems that assist the technology of smart living. In this respect, this paper aims to present a design of a new smart home architecture integrating a wireless communication module to communicate with sensors and smart devices (LoRa). A LoRaWAN gateway was built to manage and establish this communication between the LoRa server (loraserver) and house sensors which are intelligent modules combining both LoRa and Wi-Fi technologies.

Brain computer interface (BCI) technology is a communication and control approach. Up to now many studies have attempted to develop an EEG-based BCI system to improve the quality of life of people with severe disabilities, such as amyotrophic lateral sclerosis (ALS), paralysis, brain stroke and so on. The proposed BCIBSHS could help to provide a new way for supporting life of paralyzed people and elderly people. The goal of this paper is to explore how to set up a cost-effective and safe-to-use online BCIBSHS to recognize multi-commands and control smart devices based on SSVEP. The portable EEG acquisition device (Emotiv EPOC) was used to collect EEG signals. The raw signals were denoised by discrete wavelet transform (DWT) method, and then the canonical correlation analysis (CCA) method was used for feature extraction and classification. Another part is the control of smart home devices. The classification results of SSVEP can be translated into commands to control several devices for the smart home. Here, the Power over Ethernet (PoE) technology was utilized to provide electrical energy and communication for those devices. During online experiments, four different control commands have been achieved to control four smart home devices (lamp, web camera, guardianship telephone and intelligent blinds). Experimental results showed that the online BCIBSHS obtained 86.88 ± 5.30% average classification accuracy rate. The BCI and PoE technology, combined with smart home system, overcoming the shortcomings of traditional systems and achieving home applications management rely on EEG signal. In this paper, we proposed an online steady-state visual evoked potential (SSVEP) based BCI system on controlling several smart home devices.

The proliferation of smart devices in recent years has led to novel smart home applications that upgrade traditional home appliances to intelligent units and automatically adapt their services without human assistance. In a smart home system, a central gateway is required to coordinate the functions of various smart home devices and allow bidirectional communications. However, the gateway may cause leakage of sensitive information unless proper privacy protections are applied. In this work, we first introduce a smart home model based on fog computing and secured by differential privacy. Then, we apply a personalized differential privacy scheme to provide privacy protection. Furthermore, we consider a collusion attack and propose our differential privacy model called APDP based on a modified Laplace mechanism and a Markov process to strengthen privacy protection, thus resisting the attack. Lastly, we perform extensive experiments based on the real-world datasets to evaluate the proposed APDP model.

Fog Computing is an approach involving smart devices. These devices carry out data processing to provide collaborative services to reach a common goal, usually, in the cloud. In the fog computing paradigm, uncertainty and vagueness are inherent to the data processing due to the limitations of computational and communication capabilities of the smart devices. Fuzzy logic and protoforms represent a powerful tool to model and compute imprecise data presented within the fog-computing paradigm. In this paper, we present a fuzzy cloud-fog approach based on fuzzy temporal windows and fuzzy aggregation. The innovations of this paper are: i) to model the uncertainty involved in fog nodes linguistically, ii) to compute and distribute relevant linguistic information (protoforms), and iii) to publish the computed protoforms in the cloud to generate complex protoforms, which reach the common goal. This new fuzzy cloud-fog approach is applied to the problem of activity recognition in smart homes. In this context, the smart devices in a smart home are represented by fog nodes, which cooperate for activity recognition using a fuzzy cloud-fog computing approach to provide solutions in ambient-assisted living. Finally, to demonstrate the effectiveness of the proposal in handling situations/environments where multiple and heterogeneous devices are involved (such as UWB beacons, smart objects and smart wearable devices), a case study of the proposed fuzzy cloud-fog approach is implemented in the smart lab of the University of Jaén. So, the results obtained with the proposed approach in the case study are compared to the results obtained with a non-fuzzy approach with the aim of showing the advantages of the fuzzy methodology.

With the advancement of technology and economy, the scale of the smart home industry has exploded. While improving people’s lives, smart home systems are facing threats to privacy leaks, malicious attacks, and structural security. Effective security mechanisms are very important for protecting valuable data in smart home systems. Access control helps information systems prevent malicious access, thereby reducing the risk of privacy leakage. Blockchain can provide security support for the Internet of Things system due to its advantages of decentralization and immutability. Therefore, in this paper, a smart home access control scheme based on blockchain is proposed. The scheme uses Hyperledger Fabric and implements access control strategies through smart contracts. By designing a hybrid access control model based on dynamic attribute-based access control and static access control matrix, the remote access control initiated by the user through the Internet and the access control between local devices are well guaranteed at the same time. Through safety analysis and performance evaluation, the feasibility of the proposed scheme is demonstrated.

The research aims to improve the comfort and safety of the smart home by adding a motion recognition algorithm to the smart home system. First, the research status of motion recognition is introduced. Second, based on the requirements of the smart home system, a smart home system is designed for middle-aged and elderly users. The software system in this system includes intelligent control subsystems, intelligent monitoring subsystems, and intelligent protection subsystems. Finally, to increase the security of the smart home, the intelligent monitoring subsystem is improved, and an intelligent security subsystem is proposed based on a small-scale motion detection algorithm. The system uses three three-dimensional (3D) convolutional neural networks (CNNs) to extract three image features, so that the data information in the video can be fully extracted. The performance of the proposed intelligent security subsystem based on a small-scale motion detection algorithm is compared and analyzed. The research results show that the accuracy of the system on the University of Central Florida (UCF101) dataset is 94.64%, and the accuracy on the HMDB51 dataset is 90.11%, which is similar to other advanced algorithms. Observing whether there are dangers such as falling inside and outside the family through motion recognition technology has very important application significance for protecting people's personal safety, life, and health.

The popularity of smart home systems has greatly increased over the past several years, which provide convenience, automation, and control over various areas of daily life at home. However, these technologies still have issues with scalable user experience, mainly because there aren’t any engaging and intuitive user interfaces. Incorporating pervasive virtual reality (VR) interfaces into smart home systems is the unique strategy proposed in this study to improve scalable user experience. The study’s goal is to use VR technology to develop engaging and simple user interfaces that seamlessly integrate with the actual surroundings of a smart home. Users can engage with their smart home appliances and services through a mixed-reality experience in which virtual items and information are seamlessly incorporated into their environment by donning portable VR headsets. This application considers various difficulties related to developing Ambient Assisted Living (AAL) solutions, including unique characteristics of each end user, appliance, technology, deployment, and data-sharing problems. The Smart Home Systems take advantage of Semantic Web technologies integration abilities and their capacity facing represent significant information into legal models. A virtual reality application called Smart Home Systems allows for residential settings’ setup and customization in AAL systems. Additionally, it effectively uses VR technology to streamline the creation of specialized AAL settings. The application and underlying framework were evaluated for each through two scenarios: designing a home setting specifically for specific scalable user categories.

Building conceptual models for software design, in particular for high-tech applications such as smart home systems, is a complex task that significantly affects the efficiency of their development processes. One of the innovative methods of solving this problem is the use of domain-specific modeling languages (DSMLs), which can reduce the time and other project resources required to create such systems. The subject of research in this paper is approaches to the development of DSML for Smart Home systems as a separate class of Internet of Things systems. The purpose of this work is to propose an approach to the development of DSMLs based on a model of variability of the properties of such a system. The following tasks are being solved: analysis of some existing approaches to the creation of DSMLs; construction of a multifaceted classification of requirements for them, application of these requirements to the design of the syntax of a specific DSML-V for the creation of variable software in smart home systems; development of a technological scheme and quantitative metrics for experimental evaluation of the effectiveness of the proposed approach. The following methods are used: variability modeling based on the property model, formal notations for describing the syntax of the DSML-V language, and the use of the open CASE tool metaDepth. Results: a multifaceted classification of requirements for a broad class of DSML languages is built; the basic syntactic constructions of the DSML-V language are developed to support the properties of software variability of "Smart Home" systems; a formal description of such syntax in the Backus-Naur notation is given; a technological scheme for compiling DSML-V specifications into the syntax of the language of the open CASE tool metaDepth is created; the effectiveness of the proposed approach using quantitative metrics is experimentally investigated. Conclusions: the proposed method of developing a specialized problem-oriented language for smart home systems allows for multilevel modeling of the variability properties of its software components and provides an increase in the efficiency of programming such models by about 14% compared to existing approaches.

As technology grows every day, everybody wants to use smart devices (phones, lights, appliances, etc.). Nowadays we find that many houses and offices are neither safe nor smart. To overcome this problem, we have proposed a smart and secure office and home system using IoT. The proposed system contains several components, where a single microcontroller will connect and control several components. Our system will sense the environment and will detect movement and also will distinguish whether a human has moved in or out of the sensors. Secondly, when light falls on its resistance decreases and as it senses darkness its resistance becomes high. Next, our system will sense the blockage level in the housing pipelines and give information about the exact blockage point. Finally, it will control the gardening system. This system will monitor and use all the data from the sensors and principally facilitate physically challenged persons to manage all of their home and office devices from one place, and simultaneously saves power as well.