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A secure and quality-aware prototypical architecture for the Internet of Things

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TLDR
A lightweight and cross-domain prototype of a distributed architecture for IoT, providing minimum data caching functionality and in-memory data processing and a number of supporting algorithms for the assessment of data quality and security are presented and discussed.
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This article is published in Information Systems.The article was published on 2016-06-01 and is currently open access. It has received 97 citations till now. The article focuses on the topics: Middleware (distributed applications) & Data quality.

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Citations
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Internet of Things security

TL;DR: This study aims to serve as a useful manual of existing security threats and vulnerabilities of the IoT heterogeneous environment and proposes possible solutions for improving the IoT security architecture.
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Internet of Things (IoT): A review of enabling technologies, challenges, and open research issues

TL;DR: This exhaustive survey provides insights into the state-of-the-art of IoT enabling and emerging technologies and brings order in the existing literature by classifying contributions according to different research topics.
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Internet of things security: A top-down survey

TL;DR: A comprehensive top down survey of the most recent proposed security and privacy solutions in IoT in terms of flexibility and scalability and a general classification of existing solutions is given.
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Cyber-physical systems and their security issues

TL;DR: The aim of this paper is to analyse and classify existing research papers on the security of cyber-physical systems, and to propose a tree of attacks on cyber- physical systems.
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The rise of ransomware and emerging security challenges in the Internet of Things

TL;DR: The ransomware attacks and security concerns in IoT are presented and a few credible case studies are outlined to alert people regarding how seriously IoT devices are vulnerable to threats.
References
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Journal ArticleDOI

Internet of things: Vision, applications and research challenges

TL;DR: A survey of technologies, applications and research challenges for Internetof-Things is presented, in which digital and physical entities can be linked by means of appropriate information and communication technologies to enable a whole new class of applications and services.
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Service-Oriented Computing: State of the Art and Research Challenges

TL;DR: A service-oriented computing promotes the idea of assembling application components into a network of services that can be loosely coupled to create flexible, dynamic business processes and agile applications that span organizations and computing platforms.
Journal ArticleDOI

Security, privacy and trust in Internet of Things

TL;DR: In this article, the authors present the main research challenges and the existing solutions in the field of IoT security, identifying open issues and suggesting some hints for future research, and suggest some hints to future research.
Journal Article

Service-oriented computing

TL;DR: This keynote argues that there is in fact even more profound change that the authors are facing – the programmability aspect that is intimately associated with all IoT systems.
Journal ArticleDOI

Practical Issues in Temporal Difference Learning

Gerald Tesauro
- 01 May 1992 - 
TL;DR: It is found that, with zero knowledge built in, the network is able to learn from scratch to play the entire game at a fairly strong intermediate level of performance, which is clearly better than conventional commercial programs, and which surpasses comparable networks trained on a massive human expert data set.
Related Papers (5)
Frequently Asked Questions (9)
Q1. What contributions have the authors mentioned in the paper "A secure and quality-aware prototypical architecture for the internet of things" ?

In this paper a lightweight and cross-domain prototype of a distributed architecture for IoT is presented, providing minimum data caching functionality and in-memory data processing. 

Due to the very large number of heterogeneous technologies being used in IoT systems, several middleware layers have been proposed to enforce the integration and the security of devices and data within the same information network. 

NOSs are networked smart nodes deployed in a distributed manner and do not present strict constraints in terms of resources and computational capabilities. 

The final purpose is to deliver a framework able to dynamically integrate user data (e.g., location, behaviour) in privacy and security protocols. 

The FP7 COMPOSE (Collaborative Open Market to Place Objects at your Service) project [17] aims to design and develop an open marketplace for IoT data and services. 

In particular, they state that the data quality dimensions to consider are accuracy, timeliness and the trustworthiness of the data provider. 

The middleware proposed in this work supports dynamic reconfiguration and can be remote orchestrated through Internet/intranet protocols, which are based on open standards (see Section III-D). 

One of the main factors limiting the growth and takeup of IoT is the lack of a set of standardised tools, platforms and interfaces able to provide interoperability across different vendors of hardware and software solutions as well as across diverse vertical domains. 

As a consequence, a user who wants to receive data from the source src will be aware that they have a level of confidentiality not greater than 0.65, so there is a 35% risk of a confidentiality attack.