Carlos E. B. Santos, Lucileide M. D. da Silva, Matheus F. Torquato, Sérgio N. Silva · 5 authors
This work proposes an implementation of the SHA-256, the most common blockchain hash algorithm, on a field-programmable gate array (FPGA) to improve processing capacity and power saving in Internet of Things (IoT) devices to solve security and privacy issues. This implementation presents a different approach than other papers in the literature, using clustered cores executing the SHA-256 algorithm in parallel. Details about the proposed architecture and an analysis of the resources used by the FPGA are presented. The implementation achieved a throughput of approximately 1.4 Gbps for 16 cores on a single FPGA. Furthermore, it saved dynamic power, using almost 1000 times less compared to previous works in the literature, making this proposal suitable for practical problems for IoT devices in blockchain environments. The target FPGA used was the Xilinx Virtex 6 xc6vlx240t-1ff1156.
The concept of the Internet of Medical Robotics Things (IoMRT) is where intelligent robots assess surrounding events, combine information from their sensors, use both local and dispersed intelligence to determine the best course of action, and move or command objects. Telesurgery is one application of IoMRT (TS). With 5G-enabled Tactile Internet (TI) enabling telesurgery (TS), there is ample opportunity to provide exceptional, accurate, ultra-responsive, and real-time virtual surgical procedures. The potential for accurate surgical diagnosis involving the exchange of patient electronic medical records (EMR) with several doctors using an assistant robot (AR) could be greatly useful in the medical field. As a part of this, permission delegation has emerged as a novel approach for data sharing in TI. Robust control of access guidelines combined with a configurable permission scheme promise secure EMR exchange. The present research proposes a multi-hop permission delegation strategy for EMR exchange based on blockchain technology and with configurable delegation depth. Furthermore, the original EMRs are stored on the interplanetary file system (IPFS). Permission delegation uses smart contracts and proxy re-encryption technology. Attribute-based encryption, which offers fine-grained management of access, is used to guarantee data security. Blockchain is also utilized to accomplish immutability and traceability. Delegators may regulate the depth of delegation by using smart contracts. The suggested approach satisfies the intended aims, according to analysis of the protocol. Lastly, the Ethereum test chain is used to assess and put the suggested method into practice. The outcomes of the conducted experiments demonstrate that the suggested protocol operates better than the competitors.
The role of prosumers who are consumers who produce, store, and consume energy is vital to the uptake of renewable energies in Local Energy Communities (LEC). However, the integration of prosumers in the smart grid to facilitate bidirectional flows of energy and information depends on intelligent operations of energy systems and flexible structures of the existing energy markets. But existing energy trading mechanisms are faced with issues of trust, privacy, security, and energy pricing determination. Also, there are fewer studies based on a citizen-centric prosumer approach. Thus, there is need to provide reliable solutions that addresses the aforementioned challenges faced by prosumers in LEC. Advancements in disruptive technologies, such as Distributed Ledger Technologies (DLT), Artificial Intelligence (AI), and the Internet of Things (IoT) have transformed a broad spectrum of intelligent systems in smart cities. Therefore, this study examines the integration of AI and IoT as AIoT and DLT towards a citizen-centric prosumer approach for decentralized energy markets trading. Additionally, this article develops an architectural model for energy prosumption in LEC using design science approach based on a user-centred design method that shows a possible implementation concept to support energy sharing and trading in LEC. The architectural model supports trust, data privacy, security, and energy pricing determination using AI and smart contracts to provides real-time energy trading monitoring, easy access, control, and immutable logs to unearth underlying energy demand and supply patterns thereby supporting citizen-centric prosumer approach. Finally, a use case scenario of DLT and AIoT for prosumption operations is presented. • Integrates AIoT and DLT towards a citizen-centric prosumer approach for decentralized energy markets trading. • Develops an architectural model for energy prosumption using design science approach based on a user-centred design method. • Supports trust, data privacy, security, and energy pricing determination using AIoT and smart contracts. • Employs AIoT for real-time energy demand and supply patterns for energy trading monitoring, control, and decision support. • Models a possible implementation concept to support energy sharing and trading in local energy communities.
Delphi Hanggoro, Jauzak Hussaini Windiatmaja, Abdul Muis, Riri Fitri Sari · 5 authors
This study addresses integrating blockchain technology into lightweight devices, specifically on clustered Wireless Sensor Networks (WSNs). Integrating blockchain in the WSNs solved the problem of heterogeneity, data integrity, and data confidentiality. However, no blockchain integration considers network lifetime in WSNs. This research focuses on developing a permissioned blockchain system that incorporates a consensus mechanism known as Proof-of-Authority (PoA) within clustered WSNs with two main features. The first is to enhance the network lifetime by introducing a rotational selection of block proposers using an Energy-Aware PoA (EA-PoA) weighting mechanism. Known as the Multi-Level Blockchain Model (MLBM), the subsequent feature is the creation of a hierarchical network model within a blockchain network. The MLBM network comprises both local and master blockchains. Each cluster inside a WSN possesses its local blockchain network. In MLBM, the local blockchain creates a block on the main blockchain by proposing the headers of every ten blocks to improve data integrity. Each local blockchain has its leader, which can increase block production. The results show that the proposed solution can overcome traditional PoA performance and is suitable for clustered WSNs. In terms of lifetime, the EA-PoA selection method can extend network lifetime by up to 10%. In addition, MLBM can increase block production by up to twice each additional cluster compared to a single blockchain network used in traditional PoA.
Background: This study addresses the complexities of utilizing blockchain technology in healthcare, aiming to provide a decision-making tool for healthcare professionals and policymakers evaluating blockchain’s suitability for healthcare data sharing applications. Methods: A tertiary review was conducted on existing systematic literature reviews concerning blockchain in the healthcare domain. Reviews that focused on data sharing were selected, and common key factors assessing blockchain’s suitability in healthcare were extracted. Results: Our review synthesized findings from 27 systematic literature reviews, which led to the development of a refined decision-making flowchart. This tool outlines criteria such as scalability, integrity/immutability, interoperability, transparency, patient involvement, cost, and public verifiability, essential for assessing the suitability of blockchain in healthcare data sharing. This flowchart was validated through multiple case studies from various healthcare domains, testing its utility in real-world scenarios. Discussion: Blockchain technology could significantly benefit healthcare data sharing, provided its application is carefully evaluated against tailored criteria for healthcare needs. The decision-making flowchart developed from this review offers a systematic approach to assist stakeholders in navigating the complexities of implementing blockchain technology in healthcare settings.
Joseph Wheeder, Sivaram Ponnusamy, Rais Abdul Hamid Khan, Pawan R. Ponnusamy · 5 authors
The use of blockchain technology to strengthen the privacy and security of vehicle ad hoc networks has recently garnered much attention. A private and secure network for vehicular communication can be set up by taking advantage of Blockchain's decentralized and tamper-proof properties. One of the key advantages of integrating Blockchain with VANET is creating an open and immutable record of transactions. This function guarantees no one can tamper with the securely recorded data exchanges and vehicle communications. In addition, an extra layer of protection for VANET communication can be achieved by authenticating and encrypting messages using cryptographic techniques within the blockchain framework. Smart contracts, which execute themselves according to predetermined rules written into code, are another innovation that emerged from blockchain technology. VANET's security and privacy policies can be automated and enforced, making the network even more trustworthy and reliable by using this feature. By adopting a blockchain-based architecture, VANET can enhance the privacy, security, and trust between vehicles and infrastructure parts. In this paper, we look at blockchain technology, its advantages and disadvantages, and how it could solve the privacy and security issues in VANET.
Leonardo Juan Ramírez López, David Millan Mayorga, Luis Hernando Martinez Poveda, Andres Amaya · 5 authors
The management of large medical files poses a critical challenge in the health sector, with conventional systems facing deficiencies in security, scalability, and efficiency. Blockchain ensures the immutability and traceability of medical records, while the cloud allows scalable and efficient storage. Together, they can transform the data management of electronic health record applications. The method used was the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) methodology to choose and select the relevant studies that contribute to this research, with special emphasis set on maintaining the integrity and security of the blockchain while tackling the potential and efficiency of cloud infrastructures. The study’s focus is to provide a comprehensive and insightful examination of the modern landscape concerning the integration of blockchain and cloud advances, highlighting the current challenges and building a solid foundation for future development. Furthermore, it is very important to increase the integration of blockchain security with the dynamic potential of cloud computing while guaranteeing information integrity and security remain uncompromised. In conclusion, this paper serves as an important resource for analysts, specialists, and partners looking to delve into and develop the integration of blockchain and cloud innovations.
Abstract Agritech uses advanced technologies to boost the efficiency, sustainability, and productivity of farming. The Internet of Things (IoT) in agriculture has brought sensors and networked technology to gather and analyse environmental and crop data, enabling precision farming that optimises resource usage and increases yields. Yet, current agricultural methods suffer from unsecured and decentralised data management, causing inefficiencies and complicating traceability across the supply chain. The integration of IoT with blockchain technology is seen as a promising solution to enhance data‐driven agriculture. Blockchain provides a secure, decentralised, and transparent ledger that enhances data integrity, reduces fraud, and improves traceability, which complements IoT applications. The authors detail the development of an innovative system that orchestrates IoT and blockchain technologies to facilitate the adoption of new technologies in agriculture and overcomes the lacked of comprehensive data connectivity. It outlines a conceptual framework and its preliminary empirical implementation. The system consists of three integrated layers: the IoT layer, which creates digital twins of field crops; the blockchain layer, which secures and manages data from the field and external stakeholders for dynamic applications such as track and tracing; and the orchestration layer, which fuses physical and digital data to optimise business models, enhance supply chain productivity, and support governmental policy‐making, thereby improving field productivity and food sector innovation.
Securing data generated from diverse sensors poses a critical challenge in contemporary applications, particularly due to the escalating volume of data and its vulnerability to security breaches. Blockchain technology has emerged as a promising solution, yet the implementation of blockchain applications entails significant costs. Assessing the feasibility of such implementations through simulation is imperative but has been hindered by a lack of details survey about the simulation tools leading to wrong choice of tools by the researchers, as every application is unique and requires specific blockchain platform as per use. This paper covers an extensive survey of 32 simulation tools used in blockchain, focusing on their advantages, limitations, platform used, and capability to evaluate performance metrics of blockchain applications. This enables the researchers to choose the correct simulation tool for their work. The work allows the programmer to test their application using the correct simulation tool, saving implementation costs and time. Furthermore, we discussed CBlockSim, a simulation tool designed specifically for blockchain applications, elucidating its functionality through a comparative study of Bitcoin and Ethereum. Our work contributes to advancing the understanding and application of simulation tools in blockchain-based sensor data security, offering insights that can significantly enhance the security posture of sensor networks.
Atta Rahman, Mohammed Almomen, Abdullah Albahrani, Abdullah H Alhamoud · 12 authors
In the past, healthcare industry used paper-based systems to manage and store medical records.However, these systems are vulnerable to data breaches, loss, and errors.To overcome these issues, a research study has been conducted to create a safe and efficient Electronic Data Interchange (EDI) system for healthcare using blockchain technology.The study utilized various tools and methods including Python as the programming language to implement the blockchain environment, the pyQT5 library for graphical user interface (GUI), and the MySQL database management system as a repository for Electronic Health Records (EHR) with DBeaver, a cross-platform tool for data management.The research work involves the development of a blockchain-based smart contract for the storage, exchange, and retrieval of EHR.Additionally, a Python application based on pyQT5 is created to provide users with a friendly GUI.The proposed blockchain-based healthcare system provides a secure and efficient platform for storing and managing EHR as well as enabling secure EDI among healthcare stakeholders like practices, doctors, labs, and pharmacies.Furthermore, the system is scalable and user-friendly, and includes various features like patient visits, history, practices, doctors, and appointment scheduling.Blockchain technology ensures EHR integrity, secure EDI, and confidentiality, while the user-friendly interface enhances the user experience compared to the existing EDI standards like health level 7 (HL7).
Tracking and tracing of assets using decentralized systems demand optimized data formats to balance storage costs and retrieval performance. This paper proposes a cost-effective sensor data format tailored for decentralized storage of geographic point locations on XNO, a distributed ledger technology. The proposed format optimizes storage by encoding location data in a compact yet retrievable manner, leveraging spatial indexing techniques to facilitate efficient and transparent querying. This solution presents a promising approach for scalable and affordable asset tracking and tracing using the highly available and transparent decentralized environments, with potential applications across various industries.
This project explores the integration of Solana blockchain technology with smart locking systems to revolutionize access control and security. Leveraging the decentralized and immutable nature of the Solana blockchain, the intelligent system provides a powerful platform to manage access permissions and monitor lock transactions in real-time. With integrated management and remote control, users can grant or revoke access from any mobile or web application. The scalability and efficiency of the Solana blockchain enable the system to process large volumes of transactions without sacrificing performance, making it suitable for widespread use in the field, workplace, and office. Overall, the integration of the Solana blockchain into smart registration systems represents a significant advance in access control, providing a secure, transparent and user-friendly solution to the problems of the digital age. This project presents the design and implementation of a smart lock system empowered by Solana blockchain technology, aimed at enhancing security, transparency, and efficiency in access control. Leveraging a distributed ledger framework, the system facilitates decentralized access management, allowing users to remotely authorize and monitor door access through a user-friendly mobile/web interface. The integration of Solana blockchain ensures immutability and transparency in access permissions, while also offering scalability and low-latency transaction processing capabilities. Hardware components, including smart lock mechanisms and gateway devices, are seamlessly integrated with software modules such as firmware, gateway software, and blockchain integration layers to enable secure communication and interoperability. Robust security measures, including encryption protocols and cryptographic algorithms, safeguard data integrity and privacy. Through meticulous testing, deployment, and documentation processes, this project delivers a reliable and future-ready smart lock solution poised to redefine access management paradigms in various settings, from residential homes to commercial establishments. Key Words: Solana, Smart locking systems, Security, Blockchain, Immutability
The public blockchain lacks data confidentiality. Although a level of anonymity seems guaranteed, it is still possible to link transactions and disclose related information. A solution to the privacy problem is to use cryptography in transactions, however this can lead to increased costs and slowdown in network throughput. Recent works experiment with advanced cryptography, in particular Zero-Knowledge proofs (ZK-proofs) can be supplied within a transaction to prove its validity, without revealing sensitive information. We analyze solutions that adopt ZK-proofs, such as Confidential Transactions (CTs). Several challenges emerge depending on both the zero-knowledge system and the balance model considered (UTXO, hybrid or account model). For ZK-proofs, systems that do not introduce additional trust are required. On the other hand, the account model is the most flexible for addressing security challenges. Moreover, CTs do not fully exploit the potential of ZK-proofs, since each transaction comes with one or more ZK-proof for a single transfer. Within this paper, we present ZeroMT, a novel multi-transfer private payment scheme for account-based blockchains. Drawing inspiration from Zether, our approach extends their work to develop a payment model that supports multiple payees within a single transaction. This also benefits scalability: ZeroMT enriches the CTs with the aggregation property, i.e., the batch verification of multiple transfers from a single and aggregate proof. We show that in our extended model the overdraft-safety and privacy security properties still hold. We provide an implementation and evaluation of ZeroMT, which shows the benefits of aggregating multiple transfers.
Xiumei Deng, Jun Li, Long Shi, Wei, Kang · 8 authors
Digital twin (DT) has emerged as a promising solution to enhance manufacturing efficiency in industrial Internet of Things (IIoT) networks. To promote the efficiency and trustworthiness of DT for wireless IIoT networks, we propose a blockchain-enabled DT (B-DT) framework that employs deep neural network (DNN) partitioning technique and reputation-based consensus mechanism, wherein the DTs maintained at the gateway side execute DNN inference tasks using the data collected from their associated IIoT devices. First, we employ DNN partitioning technique to offload the top-layer DNN inference tasks to the access point (AP) side, which alleviates the computation burden at the gateway side and thereby improves the efficiency of DNN inference. Second, we propose a reputation-based consensus mechanism that integrates Proof of Work (PoW) and Proof of Stake (PoS). Specifically, the proposed consensus mechanism evaluates the off-chain reputation of each AP according to its computation resource contributions to the DNN inference tasks, and utilizes the off-chain reputation as a stake to adjust the block generation difficulty. Third, we formulate a stochastic optimization problem of communication resource (i.e., partition point) and computation resource allocation (i.e., computation frequency of APs for top-layer DNN inference and block generation) to minimize system latency under the time-varying channel state and long-term constraints of off-chain reputation, and solve the problem using Lyapunov optimization method. Experimental results show that the proposed dynamic DNN partitioning and resource allocation (DPRA) algorithm outperforms the baselines in terms of reducing the overall latency while guaranteeing the trustworthiness of the B-DT system.
In an era dominated by the Internet of Things, ensuring the longevity and sustainability of IoT devices has emerged as a pressing concern. This study explores the various complex difficulties which contributed to the early decommissioning of IoT devices and suggests methods to improve their lifespan management. By examining factors such as security vulnerabilities, user awareness gaps, and the influence of fashion-driven technology trends, the paper underscores the need for legislative interventions, consumer education, and industry accountability. Additionally, it explores innovative approaches to improving IoT longevity, including the integration of sustainability considerations into architectural design through requirements engineering methodologies. Furthermore, the paper discusses the potential of distributed ledger technology, or blockchain, to promote transparent and decentralized processes for device provisioning and tracking. This study promotes a sustainable IoT ecosystem by integrating technology innovation, legal change, and social awareness to reduce environmental impact and enhance resilience for the digital future
Valerio Mandarino, Giuseppe Pappalardo, Emiliano Tramontana
Blockchain technology offers unique features, such as transparency, the immutability of data, and the capacity to establish trust without a central authority. Such characteristics can be leveraged to support the collaboration among several different software systems operating within the healthcare ecosystem, while ensuring data integrity and make electronic health records (EHRs) more easily accessible. To provide a solution based on blockchain technology, this paper has evaluated the main issues that arise when large amounts of data are expected, i.e., mainly cost and performance. A balanced approach that maximizes the benefits and mitigates the constraints of the blockchain has been designed. The proposed decentralized application (dApp) architecture employs a hybrid storage strategy that involves storing medical records locally, on users’ devices, while utilizing blockchain to manage an index of these data. The dApp clients facilitate interactions among participants, leveraging a smart contract to enable patients to set authorization policies, thereby ensuring that only designated healthcare providers and authorized entities have access to specific medical records. The blockchain data-immutability property is used to validate data stored externally. This solution significantly reduces the costs related to the utilization of the blockchain, while retaining its advantages, and improves performance, since the majority of data are available off-chain.
The combination of blockchain and Internet of Things technology has made significant progress in smart agriculture, which provides substantial support for data sharing and data privacy protection. Nevertheless, achieving efficient interactivity and privacy protection of agricultural data remains a crucial issues. To address the above problems, we propose a blockchain-assisted federated learning-driven support vector machine (BAFL-SVM) framework to realize efficient data sharing and privacy protection. The BAFL-SVM is composed of the FedSVM-RiceCare module and the FedPrivChain module. Specifically, in FedSVM-RiceCare, we utilize federated learning and SVM to train the model, improving the accuracy of the experiment. Then, in FedPrivChain, we adopt homomorphic encryption and a secret-sharing scheme to encrypt the local model parameters and upload them. Finally, we conduct a large number of experiments on a real-world dataset of rice pests and diseases, and the experimental results show that our framework not only guarantees the secure sharing of data but also achieves a higher recognition accuracy compared with other schemes.
With the rapid development of modern medical technology and the dramatic increase in the amount of medical data, traditional centralized medical information management is facing many challenges. In recent years blockchain, which is a peer-to-peer distributed database, has been increasingly accepted and adopted by different industries and use cases. Key areas of healthcare blockchain applications include electronic medical record (EMR) management, medical device supply chain management, remote condition monitoring, insurance claims and personal health data (PHD) management, among others. Even so, there are a number of challenges in applying blockchain concepts to healthcare and its data, including interoperability, data security privacy, scalability, TPS and so on. While these challenges may hinder the development of blockchain in healthcare scenarios, they can be improved with existing technologies In this paper, we propose a blockchain-based healthcare operations management framework that is combined with the Interplanetary File System (IPFS) for managing EMRs, protects data privacy through a distributed approach while ensuring that this medical ledger is tamper-proof. Doctors act as full nodes, patients can participate in network maintenance either as light nodes or as full nodes, and the hospital acts as the endpoint database of data, i.e., the IPFS node, which saves the arithmetic power of nodes and allows the data stored in the hospitals and departments to be shared with the other organizations that have uploaded the data. Therefore, the integration of blockchain and zero-knowledge proof proposed in this paper helps to protect data privacy and is efficient, better scalable, and more throughput.
Joel Sousa, Emerson B. Tomaz, Allysson Allex Araújo
Authenticity represents an essential facet of information security explored across various Information Systems (IS), including Internet of Things (IoT) devices in Industry 4.0. However, deploying authentication mechanisms in specific IoT devices poses significant challenges, particularly for those with energy, memory, and computational power constraints. Given this context, this ongoing research project aims to compare conventional authentication mechanisms for low-resource IoT devices and identify the most efficient one among them. As an initial result, this paper aims to present our methodological scope and discuss preliminary empirical results derived from a computational experiment using the Non Interactive Zero Knowledge Proofs (NIZKP), algorithm in Arduino Nano. This research seeks to enhance the comprehension of authentication mechanisms in low-resource IoT devices, thus facilitating better decision-making processes in IS settings and contributing to academia and practice.
Diabetes poses a global health challenge, demanding continuous monitoring and expert care for effective management. Conventional monitoring methods lack real-time insights and secure data-sharing capabilities, necessitating innovative solutions that leverage emerging technologies. Existing centralized monitoring systems often entail risks such as data breaches and single points of failure, emphasizing the necessity for a secure, decentralized approach that integrates the Internet of Things (IoT), blockchain, and machine learning for efficient and secure diabetes management. This paper introduces a decentralized, blockchain-based framework for remote diabetes monitoring, IoT sensors, machine learning models, and decentralized applications (DApps). The proposed framework comprises five layers: the IoT Sensor Layer, which collects real-time health data from patients; the Blockchain Layer, leveraging smart contracts on the Ethereum blockchain for secure data sharing and transactions; the machine learning Layer, analyzing patient data to detect diabetes; and the DApps Layer, facilitating interactions between patients, doctors, and hospitals. For intelligent decision-making regarding diabetes based on data collected from different sensors, nine machine learning algorithms, including logistic regression, K-nearest neighbors (KNN), support vector machine (SVM), Decision Tree, Random Forest, AdaBoost, stochastic gradient boosting (SGD), and Naive Bayes, were trained and tested on the PIMA dataset. Based on the performance evaluation parameters such as accuracy, recall, F1-score, and the area under the curve (AUC), it was found that the AdaBoost model achieved the highest predictive accuracy of 92.64%, followed by the Decision Tree with an accuracy of 92.21% in diabetes classification.
Maykon Valério da Silva, Aldri Santos, Luiz A. Rodrigues
Com a expansão da Internet das Coisas, muitos dispositivos estão sendo conectados, coletando e transmitindo dados. O Blockchain é uma solução segura para registro distribuído, mas seu alto custo computacional e energético é restritivo para equipamentos com recursos limitados. Neste estudo, o Blockbench foi aprimorado para avaliar o desempenho de redes Ethereum privadas com a inclusão de um dispositivo Raspberry Pi. Foram comparados cenários com e sem o dispositivo, bem como os protocolos de consenso Ethash e Clique. Os resultados mostram que o Raspberry Pi não pode ser um minerador na rede Ethash, apenas um nó leve, e destacam a superioridade do consenso Clique em termos de latência, vazão e consumo de recursos computacionais.
With the application of robotics in security monitoring, medical care, image analysis, and other high-privacy fields, vision sensor data in robotic operating systems (ROS) faces the challenge of enhancing secure storage and transmission. Recently, it has been proposed that the distributed advantages of blockchain be taken advantage of to improve the security of data in ROS. Still, it has limitations such as high latency and large resource consumption. To address these issues, this paper introduces PrivShieldROS, an extended robotic operating system developed by InterPlanetary File System (IPFS), blockchain, and HybridABEnc to enhance the confidentiality and security of vision sensor data in ROS. The system takes advantage of the decentralized nature of IPFS to enhance data availability and robustness while combining HybridABEnc for fine-grained access control. In addition, it ensures the security and confidentiality of the data distribution mechanism by using blockchain technology to store data content identifiers (CID) persistently. Finally, the effectiveness of this system is verified by three experiments. Compared with the state-of-the-art blockchain-extended ROS, PrivShieldROS shows improvements in key metrics. This paper has been partly submitted to IROS 2024.
Hospitals and health systems still have numerous difficulties in setting up, maintaining, and modernizing their electronic health record systems today. The numerous problems with using EHRs are covered in this study along with potential fixes. Maintaining a single version of the truth and safely storing medical records are the goals. Using blockchain is a likely solution. A patient's data may be accessed by various organizations, including hospitals, clinics, labs, and other health insurers, in order to document transactions and fulfill their mandates on the distributed ledger. By leveraging the blockchain to provide a distributed access and validation system, a platform for safely storing and exchanging electronic health records can be developed, helping to fully replace the present centralized middlemen. Consequently, the issues with today's health records are resolved. Keywords—Electronic Health Record, Distributed ledger, Blockchain, IPFS, BigchainDB.
Love Allen Chijioke Ahakonye, Cosmas Ifeanyi Nwakanma, Dong‐Seong Kim
This paper surveys the implementation of blockchain technology in cybersecurity in Internet of Things (IoT) networks, presenting a comprehensive framework that integrates blockchain technology with intrusion detection systems (IDS) to enhance IDS performance. This paper reviews articles from various domains, including AI, blockchain, IDS, IoT, and Industrial IoT (IIoT), to identify emerging trends and challenges in this field. An analysis of various approaches incorporating AI and blockchain demonstrates the potentiality of integrating AI and blockchain to transform IDS. This paper's structure establishes the foundation for further investigation and provides a blueprint for the development of IDS that is accessible, scalable, transparent, immutable, and decentralized. A demonstration from case studies integrating AI and blockchain shows the viability of combining the duo to enhance performance. Despite the challenges posed by resource constraints and privacy concerns, it is notable that blockchain is the key to securing IoT networks and that continued innovation in this area is necessary. Further research into lightweight cryptography, efficient consensus mechanisms, and privacy-preserving techniques is needed to realize all of the potential of blockchain-powered cybersecurity in IoT.