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Big Data and IoT Forensics
Published in Vijayalakshmi Saravanan, Alagan Anpalagan, T. Poongodi, Firoz Khan, Securing IoT and Big Data, 2020
On the other hand, these devices themselves are prone to cyber security attacks. For example, smart locks would be automatically unlocked if the mobile device of a person is within some range of distance. If this is known to an attacker, they can simply enter the home.
Internet of Things: Inception and Its Expanding Horizon
Published in Vijender Kumar Solanki, Vicente García Díaz, J. Paulo Davim, Handbook of IoT and Big Data, 2019
Swagat Rameshchandra Barot, Subhanshu Goyal, Anil Kumar
In simple terms, when a number of daily life things are connected among one another via the Internet so that it can generate, transfer, and analyze data and use it for easing human life, they can be called smart machines or the Internet of Things. To be more technical, there are three main components of any IoT infrastructure: sensors and actuators, linkage, and people and process. We may find a number of examples of IoT around us: Mobile applications related to health and fitness are an embodiment of the Internet of Things. The applications use the Internet and GPS, monitor your activities using them, calculate the numbers of steps traveled, total running/walking time during the day, total calories burned during the day, and so on. It keeps track of all these data and accordingly gives dietary suggestions too.Smart air conditioners are also one type of IoT device. Based on the temperature outside the room, the season and many other factors, it modifies and maintains the temperature of the room. In fact, it also directs the swing fan in the direction of the individual present in the room.Smart lighting is a system that regulates the color and intensity of the light and can be controlled through mobile phones.A smart transportation system is a network of vehicles in which vehicles are GPS-enabled and interconnected so that locations of vehicles can be known by the other vehicles too.Smart lock is an intelligent locking system, which is a lock with sensors and doesn’t require a key to open and lock it. In fact, the system has multiple features, for example, keeping track of entries and exits, allowing listed people to have free/restricted access, remote operation of the system through mobile phones, and more. The system can also provide reminders to the owners about several outdoor tasks.As mentioned earlier, the concept of the smart home turned into a reality long ago. However, due to continuous improvement and amendment in the mechanism, the recent smart homes include multiple features ranging from auto-cleaning to auto-cooking mechanisms. Self-regulatory safety mechanisms (similar to smart locks) and anti-fire systems are also features of smart homes of the current era.
The acceptance process of smart homes by users: a statistical meta-analysis
Published in Behaviour & Information Technology, 2022
D. R. Nascimento, M. P. Ciano, J. Gumz, D. C. Fettermann
The Performance Expectancy (PE) also strongly impacts the Behavioural Intention to Use (β = 0.52). The expectation of obtaining direct benefits through the smart home expresses the user’s interest in the smart home’s adoption (Shuhaiber and Mashal 2019). The trend, across studies, shows a significant and positive relation between Performance Expectancy and Behavioural Intention to Use. Within this trend, some studies present a general approach to the smart home (e.g. Baudier, Ammi, and Deboeuf-Rouchon 2018; Nikou 2019; Shuhaiber and Mashal 2019), while others are more specific on smart home services (e.g. Gu et al. 2019; Guhr et al. 2020; Park et al. 2018; Shih 2013), some are on the technological health systems that the smart home can support (e.g. Alaiad and Zhou 2017), some investigate smart home sustainability (e.g. Ahn, Kang, and Hustvedt 2016; Schill et al. 2019), and other studies investigate the impact of IoT objects on the smart home (e.g. Bao et al. 2014; Pal et al. 2018b). Only one study on smart devices, emphasising smart locks, showed a non-significant effect between the constructs Performance Expectancy and Behavioural Intention to Use. This study indicates that the possibility of hacked smart locks increases the potential risks of use and thus affects the user’s perception of obtaining benefits from the smart home (Mamonov and Benbunan-Fich 2020). The results show that users tend to accept the smart home when they obtain some benefit, such as monitoring their health in real-time or even the possibility of reducing energy consumption and obtaining financial and sustainable gains. In this aspect, various service packages, for example, environmental and health, can be offered to users as a strategy for implementing the smart home.