Internet of Smart Things - A Study on Embedding Agents and Information in a Device

2016 ◽  
Author(s):  
Leo van Moergestel ◽  
Melvin van den Berg ◽  
Marco Knol ◽  
Rick van der Paauw ◽  
Kasper van Voorst ◽  
...  
Keyword(s):  
Smart Things

Smart toys, smart tangibles, robots and other smart things for children

2020 ◽  
Author(s):  
Alejandro Catala ◽  
Cristina Sylla ◽  
Arzu Guneysu Ozgur ◽  
Pirita Ihamäki ◽  
Katriina Heljakka
Keyword(s):  
Smart Things

Smart Things im Internet der Dinge — ein Klassifikationsansatz

2017 ◽  
Vol 9 (2) ◽  
pp. 54-61 ◽  
Author(s):  
Louis Püschel ◽  
Maximilian Röglinger ◽  
Helen Schlott
Keyword(s):  
Internet Der Dinge ◽  
Smart Things

Deep learning based Blockchain solution for preserving privacy in future vehicles

2020 ◽  
pp. 1-14
Author(s):  
Varsha R ◽  
Meghna Manoj Nair ◽  
Siddharth M. Nair ◽  
Amit Kumar Tyagi
Keyword(s):  
Deep Learning ◽  
Autonomous Vehicles ◽  
Recommendation System ◽  
Privacy Preserving ◽  
Smart Devices ◽  
The Road ◽  
Blockchain Technology ◽  
Technological Advances ◽  
Previous Decade ◽  
Smart Things

The Internet of Things (smart things) is used in many sectors and applications due to recent technological advances. One of such application is in the transportation system, which is of primary use for the users to move from one place to another place. The smart devices which were embedded in vehicles are useful for the passengers to solve his/her query, wherein future vehicles will be fully automated to the advanced stage, i.e. future cars with driverless feature. These autonomous cars will help people a lot to reduce their time and increases their productivity in their respective (associated) business. In today’s generation and in the near future, privacy preserving and trust will be a major concern among users and autonomous vehicles and hence, this paper will be able to provide clarity for the same. Many attempts in previous decade have provided many efficient mechanisms, but they all work only with vehicles along with a driver. However, these mechanisms are not valid and useful for future vehicles. In this paper, we will use deep learning techniques for building trust using recommender systems and Blockchain technology for privacy preserving. We also maintain a certain level of trust via maintaining the highest level of privacy among users living in a particular environment. In this research, we developed a framework that could offer maximum trust or reliable communication to users over the road network. With this, we also preserve privacy of users during traveling, i.e., without revealing identity of respective users from Trusted Third Parties or even Location Based Service in reaching a destination. Thus, Deep Learning based Blockchain Solution (DLBS) is illustrated for providing an efficient recommendation system.

scholarly journals A DHT-Based Discovery Service for the Internet of Things

2012 ◽  
Vol 2012 ◽  
pp. 1-11 ◽  
Author(s):  
Federica Paganelli ◽  
David Parlanti
Keyword(s):  
Internet Of Things ◽  
Large Scale ◽  
Future Internet ◽  
Peer To Peer ◽  
The Internet ◽  
Dangerous Goods ◽  
Discovery Service ◽  
Single Attribute ◽  
Smart Things ◽  
The Internet Of Things

Current trends towards the Future Internet are envisaging the conception of novel services endowed with context-aware and autonomic capabilities to improve end users’ quality of life. The Internet of Things paradigm is expected to contribute towards this ambitious vision by proposing models and mechanisms enabling the creation of networks of “smart things” on a large scale. It is widely recognized that efficient mechanisms for discovering available resources and capabilities are required to realize such vision. The contribution of this work consists in a novel discovery service for the Internet of Things. The proposed solution adopts a peer-to-peer approach for guaranteeing scalability, robustness, and easy maintenance of the overall system. While most existing peer-to-peer discovery services proposed for the IoT support solely exact match queries on a single attribute (i.e., the object identifier), our solution can handle multiattribute and range queries. We defined a layered approach by distinguishing three main aspects: multiattribute indexing, range query support, peer-to-peer routing. We chose to adopt an over-DHT indexing scheme to guarantee ease of design and implementation principles. We report on the implementation of a Proof of Concept in a dangerous goods monitoring scenario, and, finally, we discuss test results for structural properties and query performance evaluation.

A Fuzzy Logic-Based Method for Incorporating Ethics in the Internet of Things

2021 ◽  
Vol 12 (3) ◽  
pp. 98-122
Author(s):  
Sahil Sholla ◽  
Roohie Naaz Mir ◽  
Mohammad Ahsan Chishti
Keyword(s):  
Fuzzy Logic ◽  
Wide Spectrum ◽  
Research Direction ◽  
Smart Devices ◽  
Learning Mechanisms ◽  
Ethical Considerations ◽  
Smart Transportation ◽  
Smart Healthcare ◽  
Human Ethics ◽  
Smart Things

IoT is expected to have far-reaching consequences on society due to a wide spectrum of applications like smart healthcare, smart transportation, smart agriculture, smart home, etc. However, ethical considerations of AI-enabled smart devices have not been duly considered from a design perspective. In this paper, the authors propose a novel fuzzy logic-based method to incorporate ethics within smart things of IoT. Ethical considerations relevant to a machine context are represented in terms of fuzzy ethics variables (FEVs) and ethics rules. For each ethics rule, a value called scaled ethics value (SEV) is used to indicate its ethical desirability. In order to model flexibility in ethical response, the authors employ the concept of ethics modes that selectively allow scenarios depending on the value of SEV. The method offers a viable mechanism for smart devices to imbue ethical sensitivity that can pave the way for a technology society amenable to human ethics. However, the method does not account for varying ethics, as such incorporating learning mechanisms represent a promising research direction.

scholarly journals Thinking OutsideTheBox - Designing Smart Things with Autistic Children

2018 ◽  
Vol 35 (8) ◽  
pp. 666-678 ◽  
Author(s):  
Christopher Frauenberger ◽  
Katta Spiel ◽  
Julia Makhaeva
Keyword(s):  
Autistic Children ◽  
Smart Things

scholarly journals Adaptation of retired people to Internet environment

2018 ◽  
Vol 9 (2) ◽  
pp. 150-164
Author(s):  
O.A. Alekseeva ◽  
O.Y. Bestuzheva ◽  
O.N. Vershinskaya ◽  
E.E. Skvortsova
Keyword(s):  
Information And Communication Technologies ◽  
Cultural Knowledge ◽  
Economic Behavior ◽  
Sociological Research ◽  
Audiovisual Communication ◽  
Goods And Services ◽  
Internet Users ◽  
Information And Communication ◽  
Smart Things ◽  
Academy Of Sciences

The article presents the results of qualitative sociological research of information and communication technologies influence on social behavior and lifestyle of older Internet users conducted by a multidisciplinary group of the Laboratory of social and economic behavior of The Institute of Social and Economic Studies of Population, The Russian Academy of Sciences. The study involved Internet users of retirement age from 56 to 89 years. The survey was conducted by in-depth interview. The main changes in the life of the Internet users of the older generation were revealed and main characteristics of the new digital techno style of life were determined: use of new forms of textual, visual and audiovisual communication for interaction; obtaining cultural knowledge and necessary information; buying goods and services and paying bills from home; extensive use of state services online; the gradual move away from print media; using “smart” things. The analysis of respondents ‘ communication showed that older people can be divided into three groups: those for whom communication has become predominantly electronic; those who persistently prefer live communication, and those for whom electronic communication is additional to live communication.

scholarly journals The 'Future Internet' and crime: Towards a criminology of the Internet of Things

Crimen ◽  
2020 ◽  
Vol 11 (3) ◽  
pp. 255-271
Author(s):  
Sanja Milivojević ◽  
Elizabeth Radulski
Keyword(s):  
Internet Of Things ◽  
Radio Frequency Identification ◽  
Future Internet ◽  
Natural World ◽  
The Internet ◽  
Starting Point ◽  
The Future ◽  
Emerging Issues ◽  
Smart Things ◽  
The Internet Of Things

The Internet of Things (IoT) is poised to revolutionise the way we live and communicate, and the manner in which we engage with our social and natural world. In the IoT, objects such as household items, vending machines and cars have the ability to sense and share data with other things, via wireless, Bluetooth, or Radio Frequency IDentification (RFID) technology. "Smart things" have the capability to control their performance, as well as our experiences and decisions. In this exploratory paper, we overview recent developments in the IoT technology, and their relevance for criminology. Our aim is to partially fill the gap in the literature, by flagging emerging issues criminologists and social scientists ought to engage with in the future. The focus is exclusively on the IoT while other advances, such as facial recognition technology, are only lightly touched upon. This paper, thus, serves as a starting point in the conversation, as we invite scholars to join us in forecasting-if not preventing-the unwanted consequences of the "future Internet".

Trust models of internet of smart things: A survey, open issues, and future directions

2019 ◽  
Vol 137 ◽  
pp. 93-111 ◽  
Author(s):  
Ayesha Altaf ◽  
Haider Abbas ◽  
Faiza Iqbal ◽  
Abdelouahid Derhab
Keyword(s):  
Future Directions ◽  
Trust Models ◽  
Smart Things ◽  
Open Issues
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