[Cross Ref] An Intelligent Secure Monitoring Phase in Blockchain Framework for Large Transaction
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Research Article |

An Intelligent Secure Monitoring Phase in Blockchain Framework for Large Transaction

Author(s) : Sk. Khaja Shareef1, R. Sridevi2, V. Rama Raju3 and K.S. Sadasiva Rao4

Published In : International Journal of Electrical and Electronics Research (IJEER)        Volume 10, Issue 3

Publisher : FOREX Publication

Published : 30 August 2022

e-ISSN : 2347-470X

Page(s) : 536-543

DOI: https://doi.org/10.37391/IJEER.100322

Abstract

Blockchain is the key concept for security purposes for digital applications. But, in some cases, the effectiveness of the malicious behavior has degraded the security function of the blockchain. So, to enrich the blockchain process prediction and to neglect the malicious event from the data broadcasting medium is very important. So, the current research article intends to develop an efficient monitoring strategy based on incorporating deep features. Hence, the designed paradigm is termed as Lion-based Convolutional Neural Model (LbCNM) with serpent encryption. Before performing the encryption process, the novel LbCNM parameters have been activated to monitor the data process channel in the blockchain environment. Here, the malicious behaviors were estimated by incorporating the known and unknown user behavior in the Lion fitness model. During the execution, the fitness formulation of Lion is acted in the classification layer of the convolutional model. Once the present malicious characteristics have been detected, it is neglected from the data broadcasting channel. Hereafter, the transactional data has been encrypted and stored in the specific cloud. The planned strategy is verified in the python platform. The successful performance of the LbCNM with serpent has been analyzed with some key parameters like confidential rate, accuracy, data overhead, and processing time.

Keywords: Blockchain, Encryption, large transaction, malicious behaviour, data overhead




Sk. Khaja Shareef, Research Scholar, CSE Dept, JNTUH &Associate Professor, CSE Dept MLR Institute of Technology Hyderabad, India; Email: khaja.sk0822@gmail.com

R. Sridevi, Professor, Computer Science & Engineering, JNTUH College of Engineering Hyderabad, India

V. Rama Raju, Professor, Computer Science & Engineering, CMR College of Engineering & Technology Hyderabad, India

K.S. Sadasiva Rao, Professor, Department of MCA, Chaitanya Bharathi Institute of Technology, Hyderabad, India

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Sk. Khaja Shareef, R. Sridevi, V. Rama Raju and K.S. Sadasiva Rao (2022), An Intelligent Secure Monitoring Phase in Blockchain Framework for Large Transaction. IJEER 10(3), 536-543. DOI: 10.37391/IJEER.100322.