RETRACTED ARTICLE: Deployment of smart home management system at the edge: mechanisms and protocols

Abstract

Due to growing popularity of smart home systems, smart home security is a topic which is becoming increasingly important. Internet of Things (IoT) devices are obtaining increasing access to private data, but very often it does not mean that improved security mechanisms and mechanisms guaranteeing availability are implemented. The main problem is limited computing power and the limited memory of the nodes used in the network. Moreover, IoT systems are increasingly often managed through the cloud, which causes that their interfaces are available over the Internet. Another problem is the lack of expertise of users which can lead to configuration errors potentially causing data loss and hacker attacks. In this paper, we face up security and availability issues in smart homes and propose an edge-of-things solution that focuses on putting the management of the home at the edge. The management is controlled by the network operator in a similar way as occurs with current set-top-boxes for multimedia streaming at home. We propose an architecture for this system, implement the necessary modules and test it from the point of view of security and availability. The results show that the proposed edge-of-things solution is able to solve many of the challenges that current smart home applications present.

Intelligent Aging Home Control Method and System for Internet of Things Emotion Recognition

“…Sound quality characteristics: sound quality characteristic parameters reflect the shape change of glottic waves in the process of the speaker’s pronunciation. Among them, the pressure in the center of the vocal tract, the muscle expansion related to vocalization, and the vocal tract strength tension will affect the results of sound quality characteristic parameters ( Batalla and Gonciarz, 2019 ).…”

MEC-IoT-Healthcare: Analysis and Prospects

“…This type of health data is migrated from large-scale data centers to micro-scale data centers close to edge nodes. Data centers can not only reduce latency and improve the efficiency of edge devices, but also reduce the network pressure imposed by a large number of data requests on the back-end cloud computing platform [45]. For example, the data processing of some small embedded medical devices does not require each piece of data is transferred to the cloud computing center for processing, but some tasks with high real-time requirements are handed over to the smart gateway for processing, which will save a lot of network costs and improve real-time performance.…”

Nonintrusive Load Management Based on Distributed Edge and Secure Key Agreement

“…Generally, the front-end devices of the sensing layer are limited by resources and cannot carry out complex computing tasks, so it is difficult to protect data security. Therefore, Batalla and Gonciarz designed a security algorithm deployed on edge devices [24]. Unde and Deepthi analyzed the rate distortion of compressive sensing (CS) using structural random matrix (SRM), injected artificial noise into the quantization CS measurement to resist CPA, and proposed a lightweight cryptography system based on compressed sensing for IoT, which reduced the computational burden and effectively reduced the complexity of CS encoder [25].…”