A Blockchain-based IoT-Verifiable Query Service for Efficient and Authentic Data Retrieval in Cloud Systems

The integration of blockchain technology into various sectors has shown promise in enhancing security and data integrity, particularly in Internet of Things (IoT) systems. However, this amalgamation introduces challenges in data query efficiency and authenticity, especially in cloud-based settings. While blockchain offers operational streamlining and robust security, its inherent architecture involving distributed ledgers and consensus algorithms poses efficiency issues in data querying. This paper addresses the critical challenge of balancing query efficiency and data authenticity in Internet of Things (IoT)-based cloud systems. Existing solutions often lack scalability, real-time efficiency, and adaptability to the unique constraints of IoT environments. To overcome these limitations, this paper introduces the IoT-Verifiable Query Service (IoT-VQS), a scalable and secure architecture optimized for real-time data querying and verification in blockchains. This architecture demonstrates high throughput and verification accuracy, desirable for real-time cloud based applications.

Authors

Institutions

Publication Details

Published
2024-10-25
DOI
https://doi.org/10.1109/gccit63234.2024.10862562
Primary Topic
Blockchain Technology Applications and Security
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

A Blockchain-based IoT-Verifiable Query Service for Efficient and Authentic Data Retrieval in Cloud Systems

K. Suresh Kumar, A. Jaya Mabel Rani, Lakshmi Priya J, Samuthira Pandi et al.
Blockchain Technology Applications and Security
article

A Blockchain-based IoT-Verifiable Query Service for Efficient and Authentic Data Retrieval in Cloud Systems

K. Suresh Kumar, A. Jaya Mabel Rani, Lakshmi Priya J, Samuthira Pandi, Beulah Jackson, Dickson Irudayaraj.
article en

Abstract

The integration of blockchain technology into various sectors has shown promise in enhancing security and data integrity, particularly in Internet of Things (IoT) systems. However, this amalgamation introduces challenges in data query efficiency and authenticity, especially in cloud-based settings. While blockchain offers operational streamlining and robust security, its inherent architecture involving distributed ledgers and consensus algorithms poses efficiency issues in data querying. This paper addresses the critical challenge of balancing query efficiency and data authenticity in Internet of Things (IoT)-based cloud systems. Existing solutions often lack scalability, real-time efficiency, and adaptability to the unique constraints of IoT environments. To overcome these limitations, this paper introduces the IoT-Verifiable Query Service (IoT-VQS), a scalable and secure architecture optimized for real-time data querying and verification in blockchains. This architecture demonstrates high throughput and verification accuracy, desirable for real-time cloud based applications.

Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology (IN), Dhanalakshmi Srinivasan Group of Institutions (IN), Saveetha University (IN)
Openalex Percentile: Top 57%
Blockchain Technology Applications and Security
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.