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This paper illustrates the main problematic issues of minimizing technological risks in the construction of an integrated architecture for the protection of a "smart habitat" (SH). We analyze the use of the IoT to identify both object hazards and the categorization of switching detection in information collection and processing centers. The article proposes wired and wireless data-transmission systems for the required level of efficiency as well as SH protection. Particular attention is paid to the organization of multi-level protection of promising 5G/6G cellular networks based on the analysis of the security threat landscape. [ABSTRACT FROM AUTHOR]

This paper illustrates the main problematic issues of minimizing technological risks in the construction of an integrated architecture for the protection of a “smart habitat” (SH). We analyze the use of the IoT to identify both object hazards and the categorization of switching detection in information collection and processing centers. The article proposes wired and wireless data-transmission systems for the required level of efficiency as well as SH protection. Particular attention is paid to the organization of multi-level protection of promising 5G/6G cellular networks based on the analysis of the security threat landscape.

The number of seniors and other people needing daily assistance continues to increase, but the current human resources available to achieve this in the coming years will certainly be insufficient. To remedy this situation, smart habitats have emerged as an innovative avenue for supporting needs of daily assistance. Smart homes aim to provide cognitive assistance in decision making by giving hints, suggestions, and reminders, with different kinds of effectors, to residents. To implement such technology, the first challenge to overcome is the recognition of ongoing activity. Some researchers have proposed solutions based on binary sensors or cameras, but these types of approaches infringed on residents' privacy. A new affordable activity-recognition system based on passive RFID technology can detect errors related to cognitive impairment. The entire system relies on an innovative model of elliptical trilateration with several filters, as well as on an ingenious representation of activities with spatial zones. The authors have deployed the system in a real smart-home prototype; this article renders the results of a complete set of experiments conducted on this new activity-recognition system with real scenarios. [ABSTRACT FROM PUBLISHER]