BLOCKCHAIN-BASED ARCHITECTURE AND FRAMEWORK FOR CYBERSECURE SMART CITIES

A smart city is one that uses digital technologies and other means to improve the quality of life of its citizens and reduce the cost of municipal services. Smart cities primarily use IoT to collect and analyze data to interact directly with the city’s infrastructure and monitor city assets and community developments in real time to improve operational efficiency and proactively respond to potential problems and challenges. Today, cybersecurity is considered one of the main challenges facing smart cities. Over the past few years, the cybersecurity research community has devoted a great deal of attention to this challenge. Among the various technologies being considered to meet this challenge, Blockchain is emerging as a solution offering the data security and confidentiality essential for strengthening the security of smart cities. In this paper, we propose a comprehensive framework and architecture based on Blockchain, big data and artificial intelligence to improve smart cities cybersecurity. To illustrate the proposed framework in detail, we present simulation results accompanied by analyses and tests. These simulations were carried out on a smart grid dataset from the UCI Machine Learning Repository. The results convincingly demonstrate the potential and effectiveness of the proposed framework for addressing cybersecurity challenges in smart cities. These results reinforce the relevance and applicability of the framework in a real-world context

Authors

Institutions

Publication Details

Journal
Turkish Journal of Computer and Mathematics Education (TURCOMAT).
Published
2024-12-27
DOI
https://doi.org/10.61841/turcomat.v15i3.14947
Citations
3
Primary Topic
Blockchain Technology Applications and Security
Type
article
Field-Weighted Citation Impact
2.34
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

BLOCKCHAIN-BASED ARCHITECTURE AND FRAMEWORK FOR CYBERSECURE SMART CITIES

Chandrasekar Vaishnavi, Mrs. Devathi V N V Laxmi Alekhya, David Livingston, CH. SHIVANI
3 citations
Turkish Journal of Computer and Mathematics Education (TURCOMAT).
Blockchain Technology Applications and Security
2.34
article

BLOCKCHAIN-BASED ARCHITECTURE AND FRAMEWORK FOR CYBERSECURE SMART CITIES

Chandrasekar Vaishnavi, Mrs. Devathi V N V Laxmi Alekhya, David Livingston, CH. SHIVANI
article en
3 citations

Abstract

A smart city is one that uses digital technologies and other means to improve the quality of life of its citizens and reduce the cost of municipal services. Smart cities primarily use IoT to collect and analyze data to interact directly with the city’s infrastructure and monitor city assets and community developments in real time to improve operational efficiency and proactively respond to potential problems and challenges. Today, cybersecurity is considered one of the main challenges facing smart cities. Over the past few years, the cybersecurity research community has devoted a great deal of attention to this challenge. Among the various technologies being considered to meet this challenge, Blockchain is emerging as a solution offering the data security and confidentiality essential for strengthening the security of smart cities. In this paper, we propose a comprehensive framework and architecture based on Blockchain, big data and artificial intelligence to improve smart cities cybersecurity. To illustrate the proposed framework in detail, we present simulation results accompanied by analyses and tests. These simulations were carried out on a smart grid dataset from the UCI Machine Learning Repository. The results convincingly demonstrate the potential and effectiveness of the proposed framework for addressing cybersecurity challenges in smart cities. These results reinforce the relevance and applicability of the framework in a real-world context

Turkish Journal of Computer and Mathematics Education (TURCOMAT).Vol. 15(3)
University College for Women (IN)
Sustainable cities and communities
Openalex Percentile: Top 8%
Blockchain Technology Applications and Security
2.34
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.