scholarly journals The Internet of Bodies Needs a Human Data Model

2020 ◽  
Vol 24 (5) ◽  
pp. 28-37
Author(s):  
Niko Makitalo ◽  
Daniel Flores-Martin ◽  
Javier Berrocal ◽  
Jose Garcia-Alonso ◽  
Petri Ihantola ◽  
...  
Keyword(s):  
Data Model ◽  
The Internet ◽  
Human Data

scholarly journals THE INTERNET AS A DETERMINING FACTOR IN ECONOMIC CONVERGENCE ACROSS COUNTRIES

2021 ◽  
Vol 0 (0) ◽  
pp. 1-24
Author(s):  
Manuel Perez-Trujillo ◽  
Marcelo Lufin ◽  
Maricruz Lacalle-Calderon
Keyword(s):  
Data Model ◽  
Empirical Studies ◽  
Model Averaging ◽  
Convergence Theory ◽  
The Internet ◽  
Economic Convergence ◽  
Conditional Convergence ◽  
Determining Factor ◽  
Determinant Factor

This paper examines whether the Internet is a determining factor in explaining economic growth and convergence across countries when it acts as a channel of information and knowledge diffusion. Literature has identified around 140 possible growth factors, therefore given the contradictory results obtained from previous empirical studies it is crucial we understand the actual role of the Internet. Using the conditional convergence theory and a Bayesian panel data model averaging method from a sample of 100 countries between 1994 and 2017, our results demonstrate that an increase in access to the Internet is a non-determinant factor in economic convergence, being its probability of inclusion in the true growth model conditioned by the regressors included in the estimates and the time span analysed.

Human Data Model: An Approach for IoT Applications Development for Elderly Healthcare

2021 ◽  
pp. 111-120
Author(s):  
Niko Mäkitalo ◽  
Daniel Flores-Martin ◽  
Javier Berrocal ◽  
Juan M. Murillo ◽  
Tommi Mikkonen
Keyword(s):  
Data Model ◽  
Iot Applications ◽  
Human Data ◽  
Elderly Healthcare

scholarly journals Human Data Model

2020 ◽  
Vol 1 (4) ◽  
pp. 1-39
Author(s):  
Niko Mäkitalo ◽  
Daniel Flores-Martin ◽  
Huber Flores ◽  
Eemil Lagerspetz ◽  
Francois Christophe ◽  
...  
Keyword(s):  
Data Model ◽  
Human Data

scholarly journals INXU - A Security Extension for RFC 8520 to Give Fast Response to New Vulnerabilities on Domestic IoT Networks

2020 ◽  
Author(s):  
Sávyo Morais ◽  
Claudio Farias
Keyword(s):  
Internet Of Things ◽  
Data Model ◽  
Fast Response ◽  
Security And Privacy ◽  
The Internet ◽  
Iot Security

As domestic Internet of Things (DIoT) devices become more popular, the number of devices connected to the Internet increases. It may also represent a risk to the end-user’s security and privacy. The infected devices can be used in DIoT botnets affecting the Internet’s stability. Although there are efforts to enhance IoT security, such as RFC 8520, there still needs for improvements in the DIoT context. To ensure DIoT security, this paper proposes INXU, an extension of RFC 8520 that enables blocking traffic related to well-known malicious activities. INXU introduces the concept of Malicious Traffic Description, a data model to describe traffic related to malicious activities, and enables Security Operation Centers to protect domestic networks.

Architecting Service-Oriented Publish/Subscribe Applications: Data Model and Matching Algorithm

2014 ◽  
Vol 989-994 ◽  
pp. 1660-1663
Author(s):  
Biao Dong
Keyword(s):  
Data Model ◽  
Automatic Generation ◽  
Structured Data ◽  
The Internet ◽  
Semantic Matching ◽  
Matching Problem ◽  
Matching Algorithm ◽  
Production Development ◽  
Service Oriented ◽  
Description Framework

The existing publish/subscribe (Pub/Sub) systems can't match events with subscriptions based on the semantic of events. Focusing on the production development activities, this paper presented a data model for modeling an ontology-based hierarchical description framework, defined service and its classification characteristics, and analyzed an automatic generation method of building service ontologies for the semi-structured data that exist in the Internet. A subscription matching algorithm was proposed for solving the intelligent semantic matching problem between the subscription and services. The results show that the service-oriented applications guarantee the initial and availability matching of individualized demands and service capabilities.

scholarly journals REQUIREMENTS TO INFORMATION SUPPLY OF PLANNING INFORMATION SYSTEM OF SCIENTIFIC RESEARCHES IN APS OF UKRAINE. CONCEPTUAL DATA MODEL

1970 ◽  
Vol 16 (2) ◽  
Author(s):  
Khrystyna V. Sereda
Keyword(s):  
Information System ◽  
Information Systems ◽  
Data Model ◽  
Research Work ◽  
The Internet ◽  
System Planning ◽  
Modern Information ◽  
Conceptual Data

The problem of construction of modern information systems in education branch is actual in modern conditions of informatization of society. In the article one of aspects of construction of such systems, as the analysis of requirements to information supply of information systems and construction of conceptual data model of information system planning of scientific researches in Academy of Pedagogical Sciences of Ukraine on the Internet basis» (further – IS "Planning") on the basis of the spent analysis is considered. Article materials reflect results of research which was conducted within the frames of research work «Scientifically-methodical maintenance of information system of planning of scientific researches in Academy of Pedagogical Sciences of Ukraine on the Internet basis», № 0109U002139.

The Influence of COVID-19 Outbreak on the Readiness of Firms to Cyber Threats

2021 ◽  
pp. 165-178
Author(s):  
Moti Zwilling
Keyword(s):  
Fuzzy Logic ◽  
Data Model ◽  
Small Firms ◽  
Internet Usage ◽  
The Internet ◽  
Cyber Threats ◽  
The Impact

Technology impacted the lives of millions of people with their home day-to-day activities. When the COVID-19 pandemic struck in many countries, there was a need to change both the mode of working with technology as well as to handle internet and online risks exposure. During the pandemic, cybercrime groups utilized the internet usage to commit cybercrimes especially by exploiting vulnerabilities of many applications, networks, and infrastructures. This study aims to explore the impact of COVID-19 on the readiness of organizations to handle cyber threats in two directions: 1) analysis of CVE common vulnerability data before and during the pandemic period and 2) analysis of fuzzy logic data model designed to demonstrate the importance of firms readiness to cope with cyber threats. Results show that due to the significant increase in cyber threats, small firms tend to be more fragile to cyber threats than big ones, and they have to invest more resources to mitigate cyber threats. Findings and implications are discussed.

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