A Novel and Scalable Naming Strategy for IoT Scenarios

Abstract

Fog-to-Cloud (F2C) is a novel paradigm aimed at increasing the benefits brought by the growing Internet-of-Things (IoT) devices population at the edge of the network. F2C is intended to manage the available resources from the core to the edge of the network, allowing services to choose and use either a specific cloud or fog offer or a combination of both. Recognized the key benefits brought by F2C systems, such as low-latency for real-time services, location awareness services, mobility support and the possibility to process data close to where they are generated, research efforts are being made toward the creation of a widely accepted F2C architecture. However, in order to achieve the desired F2C control framework, many open challenges must be solved. In this paper, we address the identity management challenges and propose an Identity Management System (IDMS) that is based on the fragmentation of the network resource IDs. In our approach, we divide the IDs into smaller fragments and then, when two nodes connect, they use a portion of their full ID (n fragments) for mutual identification. The conducted experiments have shown that an important reduction in both, the query execution times and the space required to store IDs, can be achieved when our IDMS is applied.

Systematic Review for the Construction of an Architecture With Emerging IoT Technologies, Artificial Intelligence Techniques, Monitoring and Storage of Malicious Traffic

“…[14]- [15] [16]- [17] Cloud Access Security Brokers (CASBs) [18] Big Data Security Analytics [19][20]…”

Arquitectura basada en tecnologías emergentes y tecnología de monitoreo de tráfico de red

“…IDaaS, tiene como enfoque principal analizar las plataformas de nube de IoT populares a la luz de la solución de varios dominios de servicio, como el desarrollo de aplicaciones, la gestión de dispositivos, la gestión de sistemas, la gestión de heterogeneidad, la gestión de datos, las herramientas para el análisis, la implementación, la supervisión, la visualización y la investigación [5]. Por otra parte, CASBs tiene como objetivo mejorar las características de seguridad y colocando los datos entre la nube pública y sus consumidores, es decir, se usa como una capa intermedia entre la nube y los usuarios finales, la característica de diseño de este estudio es que reduce con éxito el costo de comunicación adicional que generalmente se encuentra alto en sistemas similares [6].…”

“…9, n°3, pp. 18-31, 2021 DOI: https://doi.org/10.17081/invinno.9.3.5340 wifi(5), ninguno (0). Determinando así, una escala de 0 a 10 para la evaluación final de cada característica, en donde 0 es el valor más bajo y 10 es el valor más alto para cada criterio, una vez realizada la evaluación con base en los criterios y puntuaciones anteriormente mencionados, se determinó que el dispositivo que presenta el puntaje más alto es la Raspberry Pi 3, con un valor de 45,2 puntos.…”

IMSC-EIoTD: Identity Management and Secure Communication for Edge IoT Devices

“…An identity management model based on network resource ID fragmentation is proposed in [ 44 ]. The authors discussed a fog-to-cloud solution for the identity management of network resources.…”

“…We have also proposed fog layer identity management, which is near to the edge devices. However, the main difference between the solution in [ 44 ] and our model is we have proposed distributed decentralized identity management via IDMS servers at fog layer but in [ 44 ] the detail of the database management system of the IDMS solution is discussed. We have also discussed in detail how secure communication is performed between the edge nodes, edge gateways, and identity management server which is missing in [ 44 ].…”