Abstract

Since then, the use of the blockchains for emerging technologies such as AI has been explored by leading community science, where several actors or agents work together to settle for consensus. To do this, data must be converted into blockchain information in blockchain storage. This blockchains are referred to as blockchains based on information. Information blockchains can be useful for effective implementation of risk management. A previous work implemented the blockchain probabilistic which renders blockchains dependent on information simpler. This article suggests an extension of the definition of the stochastic blockchain. It is suggested that a social marketing system should be developed for such blockchains. It is planned to satisfy the needs of a wide variety of applications. In general, we use it to detect relevant nodes and reduce its effect on the consensus mechanism of the stochastic blockchains. We test the system using multiple adversary tactics by applying it to a benchmark. We also evaluate unilateral decisions both with and without identification of malicious nodes. Both outcomes indicate a sustainable efficiency, in which the planned work outcomes and results are outstanding.

Details

Title
An Information and Predictive Credibility Control System Using Blockchain Technique
Author
Shakkeera, L 1 ; Arumugam, S S 2 ; Amarnath, J Jegan 3 ; Venkatesh, A Narasima 4 

 Department of Computer Science and Engineering, VIT Bhopal University, Bhopal, Madhya Pradesh, India 
 Department of Computer Science and Engineering, Chennai Institute of Technology, Malayambakkam, Tamil Nadu, India 
 Department of Computer Science and Engineering, Sri Sairam Engineering College, Chennai, Tamil Nadu, India 
 Department of MBA-Human Resource Management, R.V. Institute of Management, Bangalore, Karnataka, India 
Publication year
2021
Publication date
Jul 2021
Publisher
IOP Publishing
ISSN
17426588
e-ISSN
17426596
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
2555398518
Copyright
© 2021. This work is published under http://creativecommons.org/licenses/by/3.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.