Relationship journeys in the internet of things: a new framework for understanding interactions between consumers and smart objects

2018 ◽  
Vol 47 (2) ◽  
pp. 216-237 ◽  
Author(s):  
Thomas P. Novak ◽  
Donna L. Hoffman
2021 ◽  
Vol 13 (5) ◽  
pp. 117
Author(s):  
Marco Ferretti ◽  
Serena Nicolazzo ◽  
Antonino Nocera

Sharing data and services in the Internet of Things (IoT) can give rise to significant security concerns with information being sensitive and vulnerable to attacks. In such an environment, objects can be either public resources or owned by humans. For this reason, the need of monitoring the reliability of all involved actors, both persons and smart objects, assuring that they really are who they claim to be, is becoming an essential property of the IoT, with the increase in the pervasive adoption of such a paradigm. In this paper, we tackle this problem by proposing a new framework, called H2O (Human to Object). Our solution is able to continuously authenticate an entity in the network, providing a reliability assessment mechanism based on behavioral fingerprinting. A detailed security analysis evaluates the robustness of the proposed protocol; furthermore, a performance analysis shows the feasibility of our approach.


IEEE Access ◽  
2019 ◽  
Vol 7 ◽  
pp. 55290-55304 ◽  
Author(s):  
Xing-Gang Luo ◽  
Hong-Bo Zhang ◽  
Zhong-Liang Zhang ◽  
Yang Yu ◽  
Ke Li

Author(s):  
Elodie Attié ◽  
Lars Meyer-Waarden

The internet of things, or the IoT, is progressively and surely invading environments, and is consequently creating new kinds of consumer needs and behaviors. More and more companies are getting involved in this growing field, showing the importance for them to understand this technology market. This chapter aims at studying the acceptance process of the IoT. More specifically, the main factors that influence consumer decisions to accept and use the IoT and smart objects have been tested, such as the ethical, wellbeing, social, and utility values. The importance of each benefit is demonstrated, according to specific targets and to examples of applications. A system of values that represents the promises of the IoT and the central needs of users is also described. Besides, a typology of users should help companies creating or refining targeting strategies and should guide consumers into their acceptance process. Finally, further research directions are discussed.


Author(s):  
Laura Belli ◽  
Simone Cirani ◽  
Luca Davoli ◽  
Gianluigi Ferrari ◽  
Lorenzo Melegari ◽  
...  

The Internet of Things (IoT) will consist of billions (50 billions by 2020) of interconnected heterogeneous devices denoted as “Smart Objects:” tiny, constrained devices which are going to be pervasively deployed in several contexts. To meet low-latency requirements, IoT applications must rely on specific architectures designed to handle the gigantic stream of data coming from Smart Objects. This paper propose a novel Cloud architecture for Big Stream applications that can efficiently handle data coming from Smart Objects through a Graph-based processing platform and deliver processed data to consumer applications with low latency. The authors reverse the traditional “Big Data” paradigm, where real-time constraints are not considered, and introduce the new “Big Stream” paradigm, which better fits IoT scenarios. The paper provides a performance evaluation of a practical open-source implementation of the proposed architecture. Other practical aspects, such as security considerations, and possible business oriented exploitation plans are presented.


Symmetry ◽  
2018 ◽  
Vol 10 (12) ◽  
pp. 669 ◽  
Author(s):  
Daniel Díaz López ◽  
María Blanco Uribe ◽  
Claudia Santiago Cely ◽  
Daniel Tarquino Murgueitio ◽  
Edwin Garcia Garcia ◽  
...  

Undoubtedly, the adoption of the Internet of Things (IoT) paradigm has impacted on our every-day life, surrounding us with smart objects. Thus, the potentialities of this new market attracted the industry, so that many enterprises developed their own IoT platforms aiming at helping IoT services’ developers. In the multitude of possible platforms, selecting the most suitable to implement a specific service is not straightforward, especially from a security perspective. This paper analyzes some of the most prominent proposals in the IoT platforms market-place, performing an in-depth security comparison using five common criteria. These criteria are detailed in sub-criteria, so that they can be used as a baseline for the development of a secure IoT service. Leveraging the knowledge gathered from our in-depth study, both researchers and developers may select the IoT platform which best fits their needs. Additionally, an IoT service for monitoring commercial flights is implemented in two previously analyzed IoT platforms, giving an adequate detail level to represent a solid guideline for future IoT developers.


Sensors ◽  
2017 ◽  
Vol 17 (5) ◽  
pp. 1001 ◽  
Author(s):  
Kuo-Hui Yeh ◽  
Chunhua Su ◽  
Kim-Kwang Raymond Choo ◽  
Wayne Chiu

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