scholarly journals Survey on secure protocols for data sharing through edge of cloud assisted internet of things

2018 ◽  
Vol 7 (2.7) ◽  
pp. 92 ◽  
Author(s):  
K Sai Prasanthi ◽  
K V.Daya Sagar
Keyword(s):  
Internet Of Things ◽  
Data Sharing ◽  
Data Flow ◽  
Huge Amount ◽  
Secure Data ◽  
Secure Protocols ◽  
Iot Devices

Nowadays Internet of Things (IoT) is the trending topic where we go. IoT is included in almost every device surrounded by us where valuable information is shared over the network to store it in the cloud or to transfer as a message alert to an individual. IoT devices generate a huge amount of data but only caring information is required and for that analytics needs to be performed. Analytics are reaching outside of the traditional datacenter towards the edge, where the IoT data is generated. So, here in this paper, the importance of secure data sharing over a network, generated by IoT devices is described and along with that the data flow between IoT and edge server is discussed, and the requirement of edge analytics is focused.

Blockchain-Empowered Big Data Sharing for Internet of Things

2021 ◽  
Vol 18 (1) ◽  
pp. 58-69
Author(s):  
Ting Cai ◽  
Yuxin Wu ◽  
Hui Lin ◽  
Yu Cai
Keyword(s):  
Internet Of Things ◽  
Social Welfare ◽  
Data Sharing ◽  
Large Scale ◽  
Data Control ◽  
Main Challenge ◽  
The Social ◽  
Secure Data ◽  
Iot Devices ◽  
Control And Management

A recent study predicts that by 2025, up to 75 billion internet of things (IoT) devices will be connected to the internet, in which data sharing is increasingly needed by massive IoT applications as a major driver of the IoT market. However, how to meet the interests of all participants in complex multi-party interactive data sharing while providing secure data control and management is the main challenge in building an IoT data sharing ecosystem. In this article, the authors propose a blockchain-empowered data sharing architecture that supports secure data monitoring and manageability in complex multi-party interactions of IoT systems. First, to build trust among different data sharing parties, the authors apply blockchain technologies to IoT data sharing. In particular, on-chain/off-chain collaboration and sharding consensus process are used to improve the efficiency and scalability of the large-scale blockchain-empowered data sharing systems. In order to encourage IoT parties to actively participate in the construction of shared ecology, the authors use an iterative double auction mechanism in the proposed architecture to maximize the social welfare of all parties as a case-study. Finally, simulation results show that the proposed incentive algorithm can optimize data allocations for each party and maximize the social welfare while protecting the privacy of all parties.

scholarly journals Next Generation of SDN in Cloud-Fog for 5G and Beyond-Enabled Applications: Opportunities and Challenges

Network ◽  
2021 ◽  
Vol 1 (1) ◽  
pp. 28-49
Author(s):  
Ehsan Ahvar ◽  
Shohreh Ahvar ◽  
Syed Mohsan Raza ◽  
Jose Manuel Sanchez Vilchez ◽  
Gyu Myoung Lee
Keyword(s):  
Internet Of Things ◽  
Data Sharing ◽  
Mobile Networks ◽  
The Other ◽  
The Internet ◽  
Hybrid Cloud ◽  
Next Generation ◽  
Delay Constraints ◽  
Mission Critical ◽  
Iot Devices

In recent years, the number of objects connected to the internet have significantly increased. Increasing the number of connected devices to the internet is transforming today’s Internet of Things (IoT) into massive IoT of the future. It is predicted that, in a few years, a high communication and computation capacity will be required to meet the demands of massive IoT devices and applications requiring data sharing and processing. 5G and beyond mobile networks are expected to fulfill a part of these requirements by providing a data rate of up to terabits per second. It will be a key enabler to support massive IoT and emerging mission critical applications with strict delay constraints. On the other hand, the next generation of software-defined networking (SDN) with emerging cloudrelated technologies (e.g., fog and edge computing) can play an important role in supporting and implementing the above-mentioned applications. This paper sets out the potential opportunities and important challenges that must be addressed in considering options for using SDN in hybrid cloud-fog systems to support 5G and beyond-enabled applications.

Blockchain Assisted Secure Data Sharing Model for Internet of Things Based Smart Industries

2021 ◽  
pp. 1-11
Author(s):  
Gunasekaran Manogaran ◽  
Mamoun Alazab ◽  
P. Mohamed Shakeel ◽  
Ching-Hsien Hsu
Keyword(s):  
Internet Of Things ◽  
Data Sharing ◽  
Secure Data

scholarly journals Research of various Data Mining Techniques for IoT Applications

2019 ◽  
Vol 8 (2S11) ◽  
pp. 1083-1086
Keyword(s):  
Data Mining ◽  
Data Analysis ◽  
Internet Of Things ◽  
Important Task ◽  
The Internet ◽  
Huge Amount ◽  
Data Mining Techniques ◽  
Amount Of Information ◽  
Iot Applications ◽  
Iot Devices

In recent years everything is connected and passing through the internet, but Internet of Things (IOT), which will change all aspects of our lives and future. While the things are connected to the internet, they will generate the huge amount of information which has to be processed. The information that gathered from various IoT devices has to be recognized and organized according to the environments of their type. To recognize and organize the data gathered from different things, the important task to be played is making things passing through different Data Mining Techniques (DMT). In this article, we mainly focus on analysis of various Data Mining Techniques over the data that has been generated by the IOT Devices which are connected over the internet using DBSCAN Technique. And also performed review over different Data Mining Techniques for Data Analysis

Secure Data Sharing and Searching at the Edge of Cloud-Assisted Internet of Things

2017 ◽  
Vol 4 (1) ◽  
pp. 34-42 ◽  
Author(s):  
Muhammad Baqer Mollah ◽  
Md. Abul Kalam Azad ◽  
Athanasios Vasilakos
Keyword(s):  
Internet Of Things ◽  
Data Sharing ◽  
Secure Data

scholarly journals EFFICIENT AND SECURE DATA UTILIZATION IN MOBILE EDGE COMPUTING BY DATA REPLICATION

2020 ◽  
Vol 2 (1) ◽  
pp. 1-12 ◽  
Author(s):  
Dr. Bhalaji N.
Keyword(s):  
Internet Of Things ◽  
Response Time ◽  
Data Flow ◽  
Edge Computing ◽  
The Internet ◽  
Mobile Edge Computing ◽  
Data Utilization ◽  
Huge Data ◽  
Secure Data ◽  
The Internet Of Things

The technological improvement at a rapid pace in the information and the communication fields has made the internet of things inevitable in our day today activities and takes a significant role in the every part of our regular schedule. The seamless communication through the internet of things is made possible, by connecting the tangible things around resulting in the numerous of advantages such as timely information delivery, servicing and monitoring. The inbuilt benefits of the IOT has made it more prominent among a wide range of application resulting in a huge data flow, though the congestion in the dataflow are managed using the cloud computing and the alternative sources such as the edge computing , the security of the data that are used are still under research. To manage the huge data flow and have secure data utilization in the internet of things, the paper has put forth the mobile edge computing integrated with the data duplication process taking into consideration the power utilization and the response time. The proposed method is simulated using the Network Simulator-2 and results obtained shows that the duplication process provides an enhancement in the bandwidth utilization along with the cut down in the power consumption and the response time.

scholarly journals User Recommendation for Data Sharing in Social Internet of Things

Sensors ◽  
2021 ◽  
Vol 21 (2) ◽  
pp. 462
Author(s):  
Kyoungsoo Bok ◽  
Yeondong Kim ◽  
Dojin Choi ◽  
Jaesoo Yoo
Keyword(s):  
Internet Of Things ◽  
Data Sharing ◽  
Data Exchange ◽  
High Similarity ◽  
Usage Frequency ◽  
The Social ◽  
Social Internet Of Things ◽  
Iot Devices ◽  
The Internet Of Things ◽  
User Recommendation

As various types of data are generated on the social Internet of things (SIoT), which combine the Internet of things (IoT) and social networks, the relations of IoT devices should be established for necessary data exchange. In this paper, we propose a user recommendation scheme that facilitates data sharing through an analysis of an interaction between an IoT device and a user in the SIoT. An interrelation between a user and an IoT device as well as an interrelation between users exist simultaneously in the SIoT. Hence, the interaction between users must be analyzed to identify the interest keywords, and the interaction between IoT devices and users to determine the user’s preference of IoT device. Moreover, the proposed scheme calculates the similarity between users based on the IoT device preference based on IoT device usage frequency and interest keywords, which are identified through an analysis between the user and IoT device and that between users. Subsequently, it recommends top-N users who have a high similarity as the users for data sharing. Furthermore, the performance of the proposed scheme is verified through performance evaluation based on the precision, recall, and F-measure.

Federated deep reinforcement learning based secure data sharing for Internet of Things

2021 ◽  
pp. 108327
Author(s):  
Qinyang Miao ◽  
Hui Lin ◽  
Xiaoding Wang ◽  
Mohammad Mehedi Hassan
Keyword(s):  
Reinforcement Learning ◽  
Internet Of Things ◽  
Data Sharing ◽  
Secure Data
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