China
Africa
Explore chapters and articles related to this topic
IoT Authentication
Published in Chintan Patel, Nishant Doshi, Internet of Things Security, 2018
As shown in Figure 3.8, the data processing layer receives data from the vast number of applications and does the processing on each application data bit. Some of the applications include smart city, which combines other major applications include smart home, intelligent transport system, smart environment, smart grid, smart gas and water distribution, smart industry, smart health and so on. For the applications like smart city, data aggregation and data processing become a critical task. Authentication between users and cloud service becomes more difficult due to heterogeneity, scalability and mobility. Authentication at this layer includes other important parameter called access control, which data of the product of person is allowed to access and by whom. Authentication between user and cloud via gateway and authentication between gateway and cloud is a major challenge in this layer. As mentioned in [Chang and Choi (2011)], major weaknesses in cloud computing are maintaining ID/password, public key infrastructure, multi factor authentication, and single sign on. Cloud computing requires strong access control mechanism and secure authentication mechanism to ensure major security parameters.
The Impact of the Internet of Things (IoT) on the IT Security Infrastructure of Traditional Colleges and Universities in the State of Utah
Published in Claire A. Simmers, Murugan Anandarajan, The Internet of People, Things and Services, 2018
The Internet of Things offers many opportunities. Applications for the Internet of Things currently exist in industries such as automotive, transportation, healthcare, and retail. Automobiles have been connected to the Internet for years. Today’s automobiles link to smartphones, display real-time traffic alerts, stream audio, and offer emergency roadside assistance at the touch of a button. Many cars, trains, and buses are equipped with sensors to monitor and report on maintenance status and vehicle location. IoT applications have been deployed in air, ground, and sea transportation and can make the transportation of goods and people more efficient. Medical IoT devices, including stationary, wearable, implantable, and ingestible, are now available to patients. These devices monitor various illnesses and send clinical data to healthcare providers. Smart environments include buildings and homes equipped with sensor technology that helps monitor resource consumption, regulate HVAC systems, and detect intrusions. The IoT in retail has helped retailers enhance the customer shopping experience and improve sales—smart shelves can be used to detect when inventory is low, and customers can use smart mirrors that allow them to “try on” clothes virtually—outside of the fitting room.
Review on Occupancy Detection Techniques in Smart Buildings Using Machine Learning
Published in Rajesh Singh, Anita Gehlot, P.S. Ranjit, Dolly Sharma, Futuristic Sustainable Energy and Technology, 2022
Ranjeeta Mittal, Urvashi Chugh
Few of the most common applications of smart environment include Smart factories, Smart hospitals, Smart homes, Smart cities etc. Services offered in these smart environments may be classified as Assistive services and Management services. While assistive services offer direct help to the users in their day-to-day activities, management services are oriented towards safety and security of individuals (Gomez et al., 2019).
Research on the Neural Mechanism of Subconscious Evaluation of Mobile Interfaces in Smart Apps
Published in International Journal of Human–Computer Interaction, 2022
Xue-shuang Wang, Fu Guo, Ming-ming Li
With the rapid development of the internet and artificial intelligence, more and more products become “smart” (Mayer et al., 2014), one of the most essential challenges is how to interact with these smart products efficiently and effectively. Recently, the smart environment is typically controlled by the mobile applications of smart devices (Mayer et al., 2014). Unal et al. (2017) found that most mobile users tend to access internet services through mobile applications. Consequently, a tremendous amount of mobile apps which can meet most user needs have sprung up. Moreover, numerous mobile users indicate that the usage of mobile apps is indispensable in their daily lives (Hew, 2017; Hsiao & Chen, 2016). Generally, a mobile app contains different user interfaces (X. S. Wang et al., 2021), and the user interface can be seen as the bridge between the user and smart devices. The acquisition of social entertainment and daily information predominantly depends on mobile user interfaces (Yang et al., 2022). With the rapid development of smart apps, interface designers should enhance the experience quality of the mobile interface (Lee & Cha, 2017).
Toward a Task-driven Intelligent GUI Adaptation by Mixed-initiative
Published in International Journal of Human–Computer Interaction, 2021
Nesrine Mezhoudi, Jean Vanderdonckt
With today’s growing use of smart connected devices everywhere, interacting with Graphical User Interfaces (GUI) seeps into most of our daily tasks. Therefore, adapting the UIs intelligently to fit all requirements of the diverse context of use and meet user preferences is mandatory. Interfaces are required to survive changes in their context to enhance the user’s control over tasks and improve their experience, throughout smoothing their interaction and reducing their errors. Accordingly, adaptation plays a principal role in the success of interaction systems by allowing systems to be accessible and easily manageable at runtime for different users. The emerging smart environments’ appliances exhibit similar properties in an effort to provide end-user customizability and extensibility. Runtime adaptation has become readily available in an adaptive way. These facilities enable systems to progress without recompilation, by generating managing and executing adaptation decisions at runtime.
End-user development for smart environments (EUD4SE)
Published in Behaviour & Information Technology, 2021
Alessio Malizia, Stefano Valtolina, Alan Serrano, Monica Maceli
End-users are called on to become end-user developers of systems that encompass a variety of software and hardware components, such as smart homes, smartphones, smart-watches, interactive displays, as well as any other interactive device available in an Internet of Things setting. One of the main applications of such systems is smart environments. Smart environments are complex, modular systems in which humans are embedded. Technologies such as cloud computing and artificial intelligence (AI) are enabling smart environments, and promise to make them increasingly common in many parts of our lives