Towards secure elements for the Internet of Things: The eLock use case: Work in progress — Invited paper

2016 ◽  
Author(s):  
Pascal Urien
Keyword(s):  
Internet Of Things ◽  
The Internet ◽  
Use Case ◽  
Work In Progress ◽  
Case Work ◽  
The Internet Of Things

Semantic Interoperability on the Internet of Things

2013 ◽  
Vol 4 (3) ◽  
pp. 47-69 ◽  
Author(s):  
Konstantinos Kotis ◽  
Artem Katasonov
Keyword(s):  
Internet Of Things ◽  
Semantic Interoperability ◽  
The Internet ◽  
Use Case ◽  
Proof Of Concept ◽  
Case Scenario ◽  
Key Technology ◽  
Smart Gateway ◽  
The Internet Of Things

Internet of Things should be able to integrate an extremely large amount of distributed and heterogeneous entities. To tackle heterogeneity, these entities will need to be consistently and formally represented and managed (registered, aligned, composed and queried) trough suitable abstraction technologies. Two distinct types of these entities are a) sensing/actuating devices that observe some features of interest or act on some other entities (call it ‘smart entities’), and b) applications that utilize the data sensed from or sent to the smart entities (call it ‘control entities’). The aim of this paper is to present the Semantic Smart Gateway Framework for supporting semantic interoperability between these types of heterogeneous IoT entities. More specifically, the paper describes an ontology as the key technology for the abstraction and semantic registration of these entities, towards supporting their automated deployment. The paper also described the alignment of IoT entities and of their exchanged messages. More important, the paper presents a use case scenario and a proof-of-concept implementation.

scholarly journals On The Case of Blockchain Adoption in the Internet of Things

Proceedings ◽  
2018 ◽  
Vol 2 (19) ◽  
pp. 1231 ◽  
Author(s):  
Davide Pedrini ◽  
Mauro Migliardi ◽  
Carlo Ferrari ◽  
Alessio Merlo
Keyword(s):  
Internet Of Things ◽  
The Internet ◽  
Use Case ◽  
Computational Power ◽  
Blockchain Technology ◽  
And Storage ◽  
The Internet Of Things

Recently blockchain technology has been advocated as a solution fitting many different problems in several applicative fields; among these fields there is the Internet of Things (IoT) too. In this paper we show the most significant properties of a blockchain, how they suite the use case of a cryptocurrency and how they map onto the needs of IoT systems. We claim that a blockchain does not provide a significant advantage with respect to other database technologies in a field such as Internet of Things where computational power comes at a premium, energy is often scarce and storage scalability is a major challenge.

CLEVER

2012 ◽  
pp. 219-241
Author(s):  
Francesco Tusa ◽  
Maurizio Paone ◽  
Massimo Villari
Keyword(s):  
Internet Of Things ◽  
Heterogeneous Computing ◽  
Electronic Device ◽  
The Internet ◽  
Use Case ◽  
Grid Infrastructures ◽  
The Internet Of Things ◽  
Computing Infrastructure ◽  
Cloud Resources

This chapter describes both the design and architecture of the CLEVER cloud middleware, pointing out the possibilities it offers towards enlarging the concept of federation in more directions. CLEVER is able to accomplish such an enlargement enabling the interaction among whatever type of electronic device connected to Internet, thus offering the opportunity of implementing the Internet of Things. Together with this type of perspective, CLEVER aims to “aggregate” heterogeneous computing infrastructure by putting together Cloud and Grid, as an example. The chapter starts with a description of the cloud projects related to CLEVER, followed by a discussion on the middleware components that mainly focuses on the innovative features they have, in particular the communication mechanisms adopted. The second part of the chapter presents a real use case that exploits the CLEVER features that allow easy creation of federated clouds’ infrastructures that can be also based on integration with existing Grids; it is demonstrated thanks to the “oneshot” CLEVER deploying mechanism. It is possible to scale dynamically the cloud resources by taking advantage of the existing Grid infrastructures, and minimizing the changes needed at the involved management middleware.

Managing Privacy in the Internet of Things: DocCloud, a Use Case

2014 ◽  
pp. 443-463 ◽  
Author(s):  
Juan Vera del Campo ◽  
Josep Pegueroles ◽  
Juan Hernández Serrano ◽  
Miguel Soriano
Keyword(s):  
Internet Of Things ◽  
The Internet ◽  
Use Case ◽  
The Internet Of Things

scholarly journals IOT - LIVESTOCK MONITORING AND MANAGEMENT SYSTEM

2021 ◽  
Vol 5 (9) ◽  
Author(s):  
Justin Ophir Isaac
Keyword(s):  
Internet Of Things ◽  
Detailed Analysis ◽  
Real Time ◽  
Business Process ◽  
Management System ◽  
The Internet ◽  
Use Case ◽  
Informational Model ◽  
Wide Range ◽  
The Internet Of Things

The intention of this research is to establish a platform or livestock monitoring and management system. The IOT framework provides IOT solutions in a wide range of domains and applications in farming, livestock, and agricultural front. The technology stack is based on the Internet of Things (IOT) with relevant sensors available to determine the dairy monitoring system to be placed on the animal. This document provides Use Cases (UC) of the domain, and performs evaluations in different conditions which are close to real-time scenarios and operational ones. With the IOT stack, with appropriate sensors for determining geographical boundaries, assets, interoperability, re-usability and functionality, the technical use-case is described in terms of entity/informational model, deployment view, functional view, business process hierarchy. This document provides detailed analysis of the flow of data and its interactions.

scholarly journals Mining knowledge graphs to map heterogeneous relations between the internet of things patterns

2021 ◽  
Vol 11 (6) ◽  
pp. 5066
Author(s):  
Vusi Sithole ◽  
Linda Marshall
Keyword(s):  
Machine Learning ◽  
Internet Of Things ◽  
Machine Learning Techniques ◽  
Small Scale ◽  
The Internet ◽  
Use Case ◽  
Object Oriented Design ◽  
Learning Techniques ◽  
Knowledge Graphs ◽  
The Internet Of Things

<span lang="EN-US">Patterns for the internet of things (IoT) which represent proven solutions used to solve design problems in the IoT are numerous. Similar to object-oriented design patterns, these IoT patterns contain multiple mutual heterogeneous relationships. However, these pattern relationships are hidden and virtually unidentified in most documents. In this paper, we use machine learning techniques to automatically mine knowledge graphs to map these relationships between several IoT patterns. The end result is a semantic knowledge graph database which outlines patterns as vertices and their relations as edges. We have identified four main relationships between the IoT patterns-a pattern is similar to another pattern if it addresses the same use case problem, a large-scale pattern uses a small- scale pattern in a lower level layer, a large pattern is composed of multiple smaller scale patterns underneath it, and patterns complement and combine with each other to resolve a given use case problem. Our results show some promising prospects towards the use of machine learning techniques to generate an automated repository to organise the IoT patterns, which are usually extracted at various levels of abstraction and granularity.</span>

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