scholarly journals Towords Secure Data Management using Blockchain in Iot Enabled Environment.

2019 ◽  
Vol 9 (1) ◽  
pp. 1759-1763
Keyword(s):  
Internet Of Things ◽  
Data Management ◽  
The Internet ◽  
Potential Importance ◽  
Security And Protection ◽  
Secure Data ◽  
The Internet Of Things ◽  
Structure And Activity ◽  
Secure Data Management

The Internet of Things (IoT) is continuously a reality nowadays. By and by, some key difficulties still must be constrained to run express consideration all together that IoT arrangements extra help the developing interest for associated gadgets and furthermore the administrations advertised. Because of the potential importance and affectability of administrations, IoT arrangements should address the security and protection issues enveloping these gadgets and furthermore the data they gather, create, and process. As of late, the Blockchain innovation has increased much consideration in IoT arrangements. Its essential utilization circumstances ar inside the cash space, where Blockchain makes a promising applications world and may be utilized to tackle security and protection issues. Be that as it may, this developing innovation has an incredible potential inside the most various mechanical territories and may impressively encourage achieve the Internet of Things read in a few angles, expanding the limit of decentralization, encouraging connections, empowering new exchange models, and permitting self-sufficient coordination of the gadgets. The paper aims to provide ideas about Blockchain’s structure and activity and, for the most part, to examine how this innovation is used to provide security and protection in IoT

Data Management for the Internet of Things

2020 ◽  
pp. 89-103
Author(s):  
Amrit Sahani ◽  
Ranjit Kumar ◽  
Suchismita Chinara ◽  
Anjali Kumari ◽  
Bina Patro
Keyword(s):  
Internet Of Things ◽  
Data Management ◽  
The Internet ◽  
The Internet Of Things

Des Translators neue Kleider. Die Translationwirtschaft in Zeiten von Digitalisierung, Datafizierung und Big Data Management

2017 ◽  
Vol 62 (2) ◽  
Author(s):  
Martin Forstner
Keyword(s):  
Machine Learning ◽  
At Risk ◽  
Big Data ◽  
Internet Of Things ◽  
Data Management ◽  
Low Cost ◽  
The Internet ◽  
Computer Linguistics ◽  
Translation Services ◽  
The Internet Of Things

AbstractThe Internet of things will influence all professional environments, including translation services. Advances in machine learning, supported by accelerating improvements in computer linguistics, have enabled new systems that can learn from their own experience and will have repercussions on the workflow processes of translators or even put their services at risk in the expected digitalized society. Outsourcing has become a common practice and working in the cloud and in the crowd tend to enable translating on a very low-cost level. Confronted with promising new labels like

scholarly journals Consensus-Based Data Management within Fog Computing For the Internet of Things

2021 ◽  
Author(s):  
AISDL
Keyword(s):  
Internet Of Things ◽  
Data Management ◽  
Fog Computing ◽  
Heterogeneous Data ◽  
The Internet ◽  
Effective Decision ◽  
Effective Decision Making ◽  
New Generation ◽  
Delivery Models ◽  
The Internet Of Things

The Internet of Things (IoT) infrastructure forms a gigantic network of interconnected and interacting devices. This infrastructure involves a new generation of service delivery models, more advanced data management and policy schemes, sophisticated data analytics tools, and effective decision making applications. IoT technology brings automation to a new level wherein nodes can communicate and make autonomous decisions in the absence of human interventions. IoT enabled solutions generate and process enormous volumes of heterogeneous data exchanged among billions of nodes. This results in Big Data congestion, data management, storage issues and various inefficiencies. Fog Computing aims at solving the issues with data management as it includes intelligent computational components and storage closer to the data sources.

scholarly journals A Survey on Intermediate Data Management for Big Data and Internet of Things

2018 ◽  
Vol 7 (4.37) ◽  
pp. 86
Author(s):  
Marwah Nihad ◽  
Alaa Hassan ◽  
Nadia Ibrahim
Keyword(s):  
Big Data ◽  
Internet Of Things ◽  
Data Management ◽  
New Technology ◽  
Future Internet ◽  
The Internet ◽  
Embedded Devices ◽  
Technology Generation ◽  
Intermediate Data ◽  
The Internet Of Things

The field internet of things and Big Data has become a necessity in our everyday lives due to the broadening of its technology and the exponential increase in devices, services, and applications that drive different types of data. This survey shows the study of Internet of Things (IoT), Big Data, data management, and intermediate data. The survey discusses intermediate data on Big Data and Internet of Things (IoT) and how it is managed. Internet of Things (IoT) is an essential concept of a new technology generation. It is a vision that allows the embedded devices or sensors to be interconnected over the Internet. The future Internet of Things (IoT) will be greatly presented by the massive quantity of heterogeneous networked embedded devices that generate intensively "Big data". Referring to the term intermediate data as the information that is provoked as output data along the process. However, this data is temporary and is erased as soon as you run a model or a sample tool. Also, the existence of intermediate data in both of the Internet of Things (IoT) and Big Data are explained. Here, various aspects of the internet of things, Big Data, intermediate data and data management will be reviewed. Moreover, the schemes for managing this data and its framework are discussed.  

scholarly journals An efficient and secure data auditing scheme based on fog-to-cloud computing for Internet of things scenarios

2020 ◽  
Vol 16 (5) ◽  
pp. 155014772091662
Author(s):  
Jun-Feng Tian ◽  
Hao-Ning Wang
Keyword(s):  
Cloud Computing ◽  
Internet Of Things ◽  
Fog Computing ◽  
The Internet ◽  
Identity Information ◽  
Private Key ◽  
Secure Data ◽  
Computing Center ◽  
Data Auditing ◽  
The Internet Of Things

With the widespread use of fog-to-cloud computing–based Internet of things devices, how to ensure the integrity of the data uploaded to the cloud has become one of the most important security issues. This article proposes an efficient and secure data auditing scheme based on fog-to-cloud computing for Internet of things scenarios, which can better meet performance and security requirements. The proposed scheme realizes data sharing under the condition of protecting privacy by encrypting sensitive information. Using the private key separation method, the private key is divided into two parts using identity information generation and random selection which are, respectively, held by the user and the fog center. Then, using the two-time signature method, the Internet of things and fog computing center use two parts of the private key to generate the original signature and final signature in two separate times. Since the fog computing center only has a part of the private key generated using the identity information, the security of the system will not be damaged due to the leakage of part of the private key held by the fog center, and the fog center significantly participates in the signature generation process, which significantly reduces the computation and communication overhead of the Internet of things device. Security analysis and performance evaluation show that the proposed scheme is safe and efficient.

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