ReviewHeliyon2024
Enhancing data security and privacy in energy applications: Integrating IoT and blockchain technologies.
Review in Heliyon, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It has been retracted, and should not be counted. Cited by 5 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
5 citing papers in PubMed.
- Enhancing privacy preservation and integrity in IoT-enabled wireless sensor networks through novel advanced cryptographic techniques.Scientific reports · 2026Article
- AI-driven virtual cell models in preclinical research: technical pathways, validation mechanisms, and clinical translation potential.NPJ digital medicine · 2025Review
- Efficient information exchange approach for medical IoT based on AI and DAG-enabled blockchain.Heliyon · 2025Article
- Assessing the industry 4.0 strategies for a steel supply chain: SWOT, game theory, and gap analysis.Heliyon · 2025Article
- AllianceBlockchain in the Governance Innovation of Internet Hospitals.Sensors (Basel, Switzerland) · 2024Article
Corrections and comments
- Retraction · 2025-11-24Concerns/Issues about Referencing/Attributions · Investigation by Journal/Publisher · Objections by Author(s) · Unreliable Results and/or Conclusions ·
- Retracted
Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The integration of blockchain technology with the IoToffers numerous opportunities to enhance the privacy, security, and integrity. This study comprehensively analyze the challenges, scope, and potential solutions associated with integrating blockchain technology and the IoT, with a specific emphasis on nuclear energy applications. We discuss the roles and various aspects of blockchain and the IoT, highlighting their multiple dimensions and applications. Our study develops a secure data management framework that incorporates encryption, integrity verification, an integrated communication network, and a robust data flow architecture. We explore the several aspects of data security, privacy, and integrity, along with the potential solutions in the integration of blockchain and IoT. The study also investigates the secure transaction process, with a specific focus on cryptographic, mathematical, and algorithmic perspectives. We demonstrated the use of blockchain technology in the nuclear energy sector using flow charts, comprehensively addressing the associated security and privacy concerns. While emphasizing the applicability of our methodology to the nuclear sector, we also acknowledge limitations such as requirements for practical validation, challenges with resource-constrained IoT environments, increasing cyberthreats, and limited real-time data availability. The future scope of our study focuses on standardization, scalable blockchain, post-quantum cryptography, privacy, regulations, real-world testbeds, and deep learning for nuclear sector security. Our findings highlight that the integration of blockchain and IoT can significantly enhance the security and privacy of nuclear energy applications, although practical validation and optimization are necessary.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.