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Published in: New Generation Computing 2/2023

27-03-2023

A Novel ORLLTMLP-Based Attack Detection and Blockchain-Aware Security Framework Using LCTFA in Smart City Applications

Authors: Vivek Yoganand Anbalagan, S. Rajasekaran, T. D. Rajeeve

Published in: New Generation Computing | Issue 2/2023

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Abstract

Problem

Smart cities have become the mainstream of urbanization with the advancement of the internet of things (IoT). Utilizing the Internet, smart devices are permitted by the IoT networks to gather and process data among the smart city infrastructure. Therefore, faster adaptions of smart cities were limited by challenges like centralization, security, privacy, transparency, scalability, and verifiability.

Motivation

A novel ORLLTMLP-based attack detection and blockchain-aware security framework using LCTFA in smart city applications were proposed in this study. The major motivation of this research is to perform efficient attack detection and secure data storage using the blockchain and DL approaches, which comprehensively pondered the security and efficiency of data sharing.

Methods

In this model, the sensed data’s dimensionality is diminished using MRC-LDA. Then, the attack detection and secure storage of data are carried out using ORLLTMLP and LCTFA, respectively.

Results

Finally, the experiential analysis reveals that an accuracy of 97.5% was accomplished by the proposed model.

Implications

The experiential outcomes exposed that the proposed scheme is efficient among the prevailing techniques for secure and efficient data sharing.

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Metadata
Title
A Novel ORLLTMLP-Based Attack Detection and Blockchain-Aware Security Framework Using LCTFA in Smart City Applications
Authors
Vivek Yoganand Anbalagan
S. Rajasekaran
T. D. Rajeeve
Publication date
27-03-2023
Publisher
Springer Japan
Published in
New Generation Computing / Issue 2/2023
Print ISSN: 0288-3635
Electronic ISSN: 1882-7055
DOI
https://doi.org/10.1007/s00354-023-00210-9

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