L'Internet des objets (IIoT) continue d'offrir de nouvelles perspectives et de nouveaux défis, ainsi que son potentiel pour améliorer son environnement commercial, une cyberattaque, une violation de la vie privée et des probabilités. La chose est la croissance de la technologie. L'avenir de la technologie et de la blockchain est une affaire stable et stable dans le monde des systèmes IIoT. La valeur de la blockchain dans le futur et l'avenir de la bourse. Identité et contrôle d'accès. Malgré ces avantages, mesure que les applications IIoT se diversifient et que les volumes de données croissent, la demande en ressources des systèmes blockchain se heurte aux ressources limitées des appareils IIoT, ce qui entraîne des contradictions non résolues et des problèmes persistants. existence manquent encore d'authentification d'identité IIoT anonymat et efficace, avec des processus de cryptage et de décryptage complexes induisant un système non surchargé La meilleure performance de la blockchain, le travail de la blockchain, l'architecture et l'architecture de l'Internet des objets. commencent à travailler sur la blockchain et la protection du public, une solution au problème de la blockchain, une solution au problème des cours boursiers et aux questions environnementales et « l'authentification » de l'IIoT de manières et sécurisées. , d'une manière qui fait la différence dans les bas et garantit l'incongruité des origines du tissu. C'est une transaction chronophage, un processus difficile à gérer dans les transactions. C'est un processus de transaction intemporel (DAG). les avantages du manioc, du sélénium et les résultats sont comparatifs. Pour les processus industriels plus contrôlés et les données sensibles et privées IIoT, cette thèse propose un schéma Un contrat intelligent qui peut vous aider dans votre activité (ABAC) C'est stable et stable, c'est un rapide. consensus et c'est une simulation, c'est un consensus, c'est un vrai problème, c'est un problème, c'est un problème, c'est un problème, c'est une demande, c'est une demande 'Algorithme Zero-Knowledge Proof (ZKP), intégrer le protocole et la preuve dans. un moyen traditionnel et sans interaction d'améliorer votre chiffrement (CP-ABE) IIoT. Combinant le système de publication-abonnement distribué IIoT (DPS-IoT) ultrasonique Hyperledger Fabric, améliore les éléments considérables et l'efficacité dans la bande passante et les environnements globaux IoT. expérience intemporelle, c'est le moment de confirmer que c'est un protocole, c'est minimiser la charge, c'est un système, c'est stocker des trucs, c'est gestuel, c'est global, c'est IIoT et ses applications C'est un voyage intemporel et un pas en avant dans l'IIoT, un pas. en avant dans la fabrication. Par conséquent, un signe de contribution, un nom de domaine de l'IIoT, une solution au problème et une robustesse pour les systèmes industriels actuels et futurs.
P. Chinnasamy, G. Charles Babu, Ramesh Kumar Ayyasamy, S. Amutha · 6 authors
6G mobile network technology will set new standards to meet performance goals that are too ambitious for 5G networks to satisfy. The limitations of 5G networks have been apparent with the deployment of more and more 5G networks, which certainly encourages the investigation of 6G networks as the answer for the future. This research includes fundamental privacy and security issues related to 6G technology. Keeping an eye on real-time systems requires secure wireless sensor networks (WSNs). Denial of service (DoS) attacks mark a significant security vulnerability that WSNs face, and they can compromise the system as a whole. This research proposes a novel method in blockchain 6G-based wireless network security management and optimization using a machine learning model. In this research, the deployed 6G wireless sensor network security management is carried out using a blockchain user datagram transport protocol with reinforcement projection regression. Then, the network optimization is completed using artificial democratic cuckoo glowworm remora optimization. The simulation results have been based on various network parameters regarding throughput, energy efficiency, packet delivery ratio, end-end delay, and accuracy. In order to minimise network traffic, it also offers the capacity to determine the optimal node and path selection for data transmission. The proposed technique obtained 97% throughput, 95% energy efficiency, 96% accuracy, 50% end-end delay, and 94% packet delivery ratio.
Intelligent blockchain is an emerging field that integrates Artificial Intelligence (AI) techniques with blockchain networks, with a particular emphasis on improving the performance of blockchain, especially in cryptocurrencies exchanges. Meanwhile, arbitrage bots are widely deployed and increasing in intelligent blockchain. These bots exploit the characteristics of cryptocurrencies exchanges to engage in frontrunning, generating substantial profits at the expense of ordinary users. In this paper, we address this issue by proposing a more efficient asynchronous Byzantine ordered consensus protocol, which can be used to prevent arbitrage bots from changing the order of the transactions for profits in intelligent blockchain-based cryptocurrencies. Specifically, we present two signal asynchronous common subset protocols, the more optimal one with only constant time complexity. We implement both our protocol and the optimal existing solution Chronos with Go language in the same environment. The experiment results indicate that our protocols achieve a threefold improvement over Chronos in consensus latency and nearly a tenfold increase in throughput.
Abstract Health insurance plays a vital role during medical emergencies in the coverage against medical expenses. Insurance fraud is an international challenge that affects most economies worldwide. Government and private companies offer many insurance schemes. The successful implementation of numerous health insurance programs offered for the public by and large are often threatened by corruption, fraud, and numerous other data‐related issues. Further the procedure for acclaiming the insurance money is not only critical in terms of verification of claims but tedious and time consuming also. To help redress these problems, blockchain technology can be utilised as is it offers improved security, transparency, auditability, privacy, accountability along with many other advantages. The goal is to create and implement a blockchain‐based solution for efficient functioning of insurance system and to prevent such health insurance systems from going bankrupt. The authors have proposed an insurance claim model, MedBlockSure using blockchain architecture for creating interoperability between the insurer, the hospital and the insurance company. The model will aid in maintaining transparency between the insurer and the company while eliminating the requirement of middlemen or agents. The conceptual view of the proposed system using sequence and use case diagrams and data management framework and smart claim processing system is demonstrated.
The grain supply chain is crucial for any nation’s self-sustainability due to its huge impact on food security, economic stability, and the livelihoods of several people. The path grain takes from farmers to consumers is opaque and complicated, due to which consumers cannot trust grain quality and its origin. Although blockchain is widely used for fair and secure transactions between farmers and buyers, issues related to transparency and traceability in the grain supply chain, such as counterfeiting and middlemen involvement, have not been adequately addressed. To tackle these issues, a blockchain-based solution is proposed that unites farmers, warehouses, government central and state agencies, transporters, and food corporations on a single platform to enhance transparency, traceability, and trust among all parties. This system involves minting a non-fungible token (NFT) corresponding to each lot of grain approved by government officials. The NFT comprises grain quality, type, temperature data from sensors, weight, and ownership information, which updates as the grain lot moves across the supply chain from central agencies to state agencies and so on. NFTs enable stakeholders to track the grain lot from cultivation to end-users, providing insights into grain conditions and quality. An Internet of Things-based circuit is designed using a Digital-output relative humidity & temperature (DHT22) sensor, which offers real-time temperature and humidity readings, and geolocation coordinates are gathered from the GPS module across the supply chain. Farmers can directly interact with warehouses to sell grains, eliminating the need for middlemen and fostering trust among all parties. The proposed four-tier framework is implemented and deployed on the Ethereum network, with smart contracts interacting with React-based web pages. Analysis and results of the proposed model illustrate that it is viable, secure, and superior to the existing grain supply chain system.
Haotian Yang, Pujie Jing, Zihan Wu, Lu Liu · 5 authors
The image integrity of real-time monitoring is crucial for monitoring crop growth, helping farmers and researchers improve production efficiency and crop yields. Unfortunately, existing schemes just focus on ground equipment and drone imaging, neglecting satellite networks in remote or extreme environments. Given that satellite internet features wide area coverage, we propose SEAIS, a secure and efficient agricultural image storage scheme combining blockchain and satellite networks. SEAIS presents the mathematical model of image processing and transmission based on satellite networks. Moreover, to ensure the integrity and authenticity of image data during pre-processing such as denoising and enhancement, SEAIS includes a secure agricultural image storage and verification method based on blockchain, homomorphic encryption, and zero-knowledge proof. Specifically, images are stored via IPFS, with hash values and metadata recorded on the blockchain, ensuring immutability and transparency. The simulation results show that SEAIS exhibits more stable and efficient processing times in extreme environments. Also, it maintains low on-chain storage overhead, enhancing scalability.
Blockchain has emerged as a solution for ensuring accurate and truthful environmental variable monitoring needed for the management of pollutants and natural resources. The immutability property of blockchain helps protect the measured data on pollution and natural resources to enable truthful reporting and effective management and control of polluting agents. However, specifics on what to measure, how to use blockchain, and highlighting which blockchain frameworks have been adopted need to be explored to fill the research gaps. Therefore, we review existing works on the use of blockchain for monitoring and managing environmental variables in this paper. Specifically, we examine existing blockchain applications on greenhouse gas emissions, solid and plastic waste, food waste, food security, water usage, and the circular economy and identify what motivates the adoption of blockchain, features sought, used blockchain frameworks and consensus algorithms, and the adopted supporting technologies to complement data sensing and reporting. We conclude the review by identifying practical works that provide implementation details for rapid adoption and remaining challenges that merit future research.
The sensitivity and exclusivity attached to personal health records make such records a prime target for cyber intruders, as unauthorized access causes unfathomable repudiation and public defamation. In reality, most medical records are micro-managed by different healthcare providers, exposing them to various security issues, especially unauthorized third-party access. Over time, substantial progress has been made in preventing unauthorized access to this critical and highly classified information. This review investigated the mainstream security challenges associated with the transmissibility of medical records, the evolutionary security strategies for maintaining confidentiality, and the existential enablers of trustworthy and transparent authorization and authentication before data transmission can be carried out. The review adopted the PRSIMA-SPIDER methodology for a systematic review of 122 articles, comprising 9 surveys (7.37%) for qualitative analysis, 109 technical papers (89.34%), and 4 online reports (3.27%) for quantitative studies. The review outcome indicates that the sensitivity and confidentiality of a highly classified document, such as a medical record, demand unabridged authorization by the owner, unquestionable preservation by the host, untainted transparency in transmission, unbiased traceability, and ubiquitous security, which blockchain technology guarantees, although at the infancy stage. Therefore, developing blockchain-assisted frameworks for digital medical record preservation and addressing inherent technological hitches in blockchain will further accelerate transparent and trustworthy preservation, user authorization, and authentication of medical records before they are transmitted by the host for third-party access.
Sharding is a critical technology for enhancing blockchain scalability. However, existing sharding blockchain protocols suffer from a high cross-shard ratio, high transaction latency, limited throughput enhancement, and high account migration. To address these problems, this paper proposes a sharding blockchain protocol for enhanced scalability and performance optimization through account transaction reconfiguration . Firstly, we construct a blockchain transaction account graph network structure to analyze transaction account correlations. Secondly, a modularity-based account transaction reconfiguration algorithm and a detailed account reconfiguration process is designed to minimize cross-shard transactions. Finally, we introduce a transaction processing mechanism for account transaction reconfiguration in parallel with block consensus uploading, which reduces the reconfiguration time overhead and system latency. Experimental results demonstrate substantial performance improvements compared to existing shard protocols: up to a 34.7% reduction in cross-shard transaction ratio, at least an 83.2% decrease in transaction latency, at least a 52.7% increase in throughput and a 7.8% decrease in account migration number. The proposed protocol significantly enhances the overall performance and scalability of blockchain, providing robust support for blockchain applications in various fields such as financial services , supply chain management , and industrial Internet of Things . It also enables better support for high-concurrency scenarios and large-scale network environments.
As the device complexity keeps increasing, the blockchain networks have been celebrated as the cornerstone of numerous prominent platforms owing to their ability to provide distributed and immutable ledgers and data-driven autonomous organizations. The distributed consensus algorithm is the core component that directly dictates the performance and properties of blockchain networks. However, the inherent characteristics of the shared wireless medium, such as fading, interference, and openness, pose significant challenges to achieving consensus within these networks, especially in the presence of malicious jamming attacks. To cope with the severe consensus problem, in this paper, we present a distributed jamming-resilient consensus algorithm for blockchain networks in wireless environments, where the adversary can jam the communication channel by injecting jamming signals. Based on a non-binary slight jamming model, we propose a distributed four-stage algorithm to achieve consensus in the wireless blockchain network, including leader election, leader broadcast, leader aggregation, and leader announcement stages. With high probability, we prove that our jamming-resilient algorithm can ensure the validity, agreement, termination, and total order properties of consensus with the time complexity of$O(n)$. Both theoretical analyses and empirical simulations are conducted to verify the consistency and efficiency of our algorithm.
Engin Zeydan, Luis Blanco, Josep Mangues‐Bafalluy, Abdullah Aydeger · 6 authors
In this paper, we propose an innovative integration of Quantum Key Distribution (QKD) and Blockchain-based Self-Sovereign Identity (SSI) within the Open RAN (O-RAN) framework for 6G networks to address the critical need for enhanced security and robust identity management. We first present a general architecture that takes a multi-layered approach and is carefully designed to leverage the different capabilities of quantum security and blockchain technology. The architecture ensures seamless and secure operation across different layers of the O-RAN, focusing on the Distributed Identity Management (DIM) and Management & Orchestration layers, and explains the interactions between these layers to improve the security and operational efficiency of the network. We also investigate detailed case studies and applications that demonstrate the practicality and transformative potential of integrating QKD-secured blockchain identity management systems in real-world 6G scenarios. We also address the inherent challenges and limitations of such integration and propose viable solutions to overcome them. Finally, we provide insights into future research and implementation directions and highlight the critical role of quantum-secured blockchain systems in the evolution of telecommunication networks toward a more secure, decentralized, and user-centric paradigm.
The integration of machine learning (ML), blockchain, and the Internet of Things (IoT) in smart cities represents a pivotal advancement in urban innovation. This convergence addresses the complexities of modern urban environments by leveraging ML’s data analytics and predictive capabilities to enhance the intelligence of IoT systems, while blockchain provides a secure, decentralized framework that ensures data integrity and trust. The synergy of these technologies not only optimizes urban management but also fortifies security and privacy in increasingly connected cities. This survey explores the transformative potential of ML-driven blockchain-IoT ecosystems in enabling autonomous, resilient, and sustainable smart city infrastructure. It also discusses the challenges such as scalability, privacy, and ethical considerations, and outlines possible applications and future research directions that are critical for advancing smart city initiatives. Understanding these dynamics is essential for realizing the full potential of smart cities, where technology enhances not only efficiency but also urban sustainability and resilience.
With its decentralized, immutable, and consensus-based validation features, blockchain technology has grown from early financial applications to a variety of different sectors. This paper aims to outline various applications of the blockchain, and systematically identify general challenges and key threats regarding its adoption. The challenges are organized into even broader groups, to allow a clear overview and identification of interconnected issues. Potential solutions are introduced into the discussion, addressing their possible ways of mitigating these challenges and their forward-looking effects in fostering the adoption of blockchain technology. The paper also highlights some potential directions for future research that may overcome these challenges to unlock further applications. More generally, the article attempts to describe the potential transformational implications of blockchain technology, through the manner in which it may contribute to the advancement of a diversity of industries.
Yidan Lai, Yang Liu, Haoxiang Luo, Gang Sun · 8 authors
Blockchain, a groundbreaking technology known for its distributed ledger system, records digital transactions and information in a decentralized manner. Broadcast protocols, fundamental components of computer networks, play a crucial role in disseminating information effectively. Blockchain networks often exhibit lower throughput rates compared to centralized payment systems due to the intricate node verification process during data propagation. Improving blockchain performance requires mitigating transaction and block propagation delays within network dissemination processes. This study delves into the development and significance of blockchain broadcast protocols, exploring their applications within blockchain networks. We introduce various broadcast protocols designed to optimize performance metrics such as energy efficiency, fault tolerance, and consistency. A comprehensive analysis, including detailed comparisons through tables, sheds light on the strengths and weaknesses of these protocols. In addition, the evolution of broadcast protocols in the context of Blockchain and the Web 3.0 era is explored, highlighting their emerging characteristics and associated challenges. Lastly, we address potential future challenges and directions for the evolution of broadcast protocols in the blockchain ecosystem.
Alexandre Pacheco, Sébastien De Vos, Andreagiovanni Reina, Marco Dorigo · 5 authors
Federated learning is a new approach to distributed machine learning that offers potential advantages such as reducing communication requirements and distributing the costs of training algorithms. Therefore, it could hold great promise in swarm robotics applications. However, federated learning usually requires a centralized server for the aggregation of the models. In this paper, we present a proof-of-concept implementation of federated learning in a robot swarm that does not compromise decentralization. To do so, we use blockchain technology to enable our robot swarm to securely synchronize a shared model that is the aggregation of the individual models without relying on a central server. We then show that introducing a single malfunctioning robot can, however, heavily disrupt the training process. To prevent such situations, we devise protection mechanisms that are implemented through secure and tamper-proof blockchain smart contracts. Our experiments are conducted in ARGoS, a physics-based simulator for swarm robotics, using the Ethereum blockchain protocol which is executed by each simulated robot.
Ehsanul Islam Zafir, Afifa Akter, Muhammad Najam-ul-Islam, Shahid A. Hasib · 7 authors
The Internet of Robotic Things (IoRT) integrates robots and autonomous devices, transforming industries such as manufacturing, healthcare, and transportation. However, security vulnerabilities in IoRT systems pose significant challenges to data privacy and system integrity. To address these issues, encryption is essential for protecting sensitive data transmitted between devices. By converting data into ciphertext, encryption ensures confidentiality and integrity, reducing the risk of unauthorized access and data breaches. Blockchain technology also enhances IoRT security by offering decentralized, tamper-proof data storage solutions. By offering comprehensive insights, practical recommendations, and future directions, this paper aims to contribute to the advancement of knowledge and practice in securing interconnected robotic systems, thereby ensuring the integrity and confidentiality of data exchanged within IoRT ecosystems. Through a thorough examination of encryption requisites, scopes, and current implementations in IoRT, this paper provides valuable insights for researchers, engineers, and policymakers involved in IoRT security efforts. By integrating encryption and blockchain technologies into IoRT systems, stakeholders can foster a secure and dependable environment, effectively manage risks, bolster user confidence, and expedite the widespread adoption of IoRT across diverse sectors. The findings of this study underscore the critical role of encryption and blockchain technology in IoRT security enhancement and highlight potential avenues for further exploration and innovation. Furthermore, this paper suggests future research areas, such as threat intelligence and analytics, security by design, multi-factor authentication, and AI for threat detection. These recommendations support ongoing innovation in securing the evolving IoRT landscape.
ABSTRACT Metaverse is an emerging digital space that uses innovative technologies to allow users to facilitate building relationships virtually and to create new interaction opportunities. Even, the financial sector has been disrupted by the metaverse involving digital assets, cryptocurrencies, blockchain technology, and decentralized finance. The objective of this paper is to focus on novel intelligent systems technologies with the potential for application in the financial area to have a better knowledge of the current research topics, challenges, and future directions. A systematic literature review was conducted analyzing papers on technological innovation of the metaverse in financial sector. Following the PRISMA methodology, we have selected 29 primary studies from five scientific databases to be included in the review. The results show that 11 types of innovative metaverse technologies are applied in the financial sector, developing financial innovations, among which the most discussed is cryptocurrency. Among the opportunities that the use of the metaverse brings to the financial sector, the reduction of transaction costs is the most discussed. Finally, five open challenges in the use of metaverse technologies in the financial sector have been identified, relating to the use of data, the application of technologies, social integration, financial innovation, and regulatory compliance. Based on this study, recommendations on future research directions are provided to the scientific community.
The Metaverse is an evolving technology that leverages the Internet infrastructure and the massively connected Internet of Everything (IoE) to create an immersive virtual world. In the Metaverse, humans engage in activities similar to those in the real world, such as socializing, working, attending events, exploring virtual landscapes, creating and trading digital assets, participating in virtual economies, and experiencing entertainment and cultural activities. By using advanced technologies such as IoE, extended reality (XR), artificial intelligence (AI), machine learning (ML), and 6G communication, along with blockchain technology, the Metaverse bridges the physical and virtual worlds. In particular, Blockchain-Enabled IoE (BIoE) will play a crucial role in Metaverse applications by ensuring secure service provisioning through the integration of blockchain with IoE. It efficiently manages the massive connectivity of physical world objects and enhances security, integrity, and decentralization of trust, while increasing resilience against failures, thus securing and fostering trust in both physical and virtual Metaverse networks. While some view the Metaverse as a detached virtual world, technologies like mixed reality and digital twins highlight the need for complementarity and interactive co-existence between the physical and virtual worlds. Blockchain facilitates this co-existence by providing a secure and trusted framework for integrating and synchronizing data and activities across both environments, developing trust through the reliability and authenticity of interactions and transactions. However, despite substantial advancements in related fields, there remains a significant gap in comprehensive surveys that address the integration of AI/ML, 6G, and blockchain in the Metaverse. In this paper, we fill this gap by examining BIoE’s capabilities in bridging the physical and virtual worlds and securing Metaverse applications across various domains, such as immersive energy grids, immersive healthcare, and immersive living. We explore BIoE’s role in service provisioning in the Metaverse, including access control, privacy protection, authentication, attack identification, and trust management. Additionally, we present a detailed taxonomy of existing literature, discuss novel use cases, and explore the synergies and practical implementations of BIoE in Metaverse applications. Finally, we address current challenges and propose future research directions to advance the field of BIoE in the Metaverse.
Shezon Saleem Mohammed Abdul, Anup Shrestha, Jianming Yong
Decentralized finance (DeFi) is rapidly evolving, promising to revolutionize financial services through blockchain technology. Successful integration of asset transfers across diverse DeFi platforms hinges on effective interoperability and transaction finality, ensuring security and cost efficiency. This paper introduces CrossDeFi, a novel cross-chain communication protocol tailored to address the challenges posed by heterogeneity in consensus mechanisms, smart contracts, and token systems. CrossDeFi introduces two key mechanisms: Miner and bridge selection (MBS) and improved transfer confirmation (ITC). The MBS mechanism optimizes the selection of miners and bridges based on the unique characteristics of each blockchain, significantly improving transfer accuracy, cost efficiency, and speed. Meanwhile, the ITC mechanism leverages cryptographic primitives to secure asset transfer confirmations, ensuring robust transaction finality. The protocol’s effectiveness is demonstrated through detailed efficiency and security analyses, complemented by a prototype evaluation that showcases its capabilities in reducing transfer durations and costs. These findings underscore the potential of CrossDeFi to transform the DeFi ecosystem.
Mahdi Akbari Zarkesh, Ehsan Dastani, Bardia Safaei, Ali Movaghar
The pervasive adoption of Internet of Things (IoT) has significantly advanced healthcare digitization and modernization. Nevertheless, the sensitive nature of medical data presents security and privacy challenges. On the other hand, resource constraints of IoT devices often necessitates cloud services for data handling, introducing single points of failure, processing delays, and security vulnerabilities. Meanwhile, the blockchain technology offers potential solutions for enhancing security, decentralization, and data ownership. An ideal solution should ensure confidentiality, access control, and data integrity while being scalable, cost-effective, and integrable with the existing systems. However, current blockchain-based studies only address some of these requirements. Accordingly, this paper proposes EdgeLinker; a comprehensive solution incorporating Proof-of-Authority consensus, integrating smart contracts on the Ethereum blockchain for access control, and advanced cryptographic algorithms for secure data communication between IoT edge devices and the fog layer in healthcare fog applications. This novel framework has been implemented in a real-world fog testbed, using COTS fog devices. Based on a comprehensive set of evaluations, EdgeLinker demonstrates significant improvements in security and privacy with reasonable costs, making it an affordable and practical system for healthcare fog applications. Compared with the state-of-the-art, without significant changes in the write-time to the blockchain, EdgeLinker achieves a 35% improvement in data read time. Additionally, it is able to provide better throughput in both reading and writing transactions compared to the existing studies. EdgeLinker has been also examined in terms of energy, resource consumption and channel latency in both secure and non-secure modes, which has shown remarkable improvements.
Aims This study will investigate the integration of quantum computing and blockchain technology of EHR systems, evaluating the potential and major vulnerabilities of the developed blockchain platforms. In addition, through this evaluation, in this paper, transaction capabilities, energy consumption, and quantum susceptibilities of Ethereum, Bitcoin, and Ripple are being evaluated. Further, research gaps on quantum implications and transition strategies to quantum-resistant systems for achieving secure, efficient, and patient-centric Healthcare 4.0 are identified. Background The embedding of quantum computing and blockchain technology within EHR systems represents the next wave of scientific development within the healthcare sector. However, at the same time, emerging quantum capabilities have raised serious vulnerabilities for major blockchain platforms. If Ethereum and Bitcoin display quantum threats regarding their high transaction capacities, then Ripple, with its high rate of transactions, truly presents a high stake in terms of quantum threats. Further, the energy consumption discrepancies pose some environmental impacts and point to the need for research on energy-efficient quantum-resistant systems. Objective This research investigates the potential and vulnerabilities of major blockchain platforms with electronic health record systems in a new quantum computing environment. In that context, this work evaluates transaction capacities, quantum threats, and energy use for platforms like Ethereum, Bitcoin, and Ripple. Additionally, it seeks to identify research gaps and propose transition strategies toward a quantum-resistant system in support of the development of a secure and efficient Healthcare 4.0. Methods This work focused on assessing the potential and vulnerabilities of blockchain platforms under quantum computing threats in EHR systems. We analyzed transaction processing rates, quantum susceptibilities, and energy consumption metrics for the Ethereum, Bitcoin, and Ripple platforms. A complete literature review is presented with respect to realistic quantum implications and practical transition strategies toward quantum-resistant systems oriented to support the development of secure and efficient Healthcare 4.0. Results The evaluations revealed that Ethereum processed 30 transactions per second and Bitcoin processed 7, with each having low quantum vulnerability. Ripple, at 1500 transactions per second, also had significant quantum vulnerabilities. In addition to energy use, Bitcoin consumes 707 kWh per single transaction compared with Ripple's 0.0078 kWh. Other gaps in research existed in real-world quantum consequences and considerations for transitioning to quantum-resistant systems, all of which are vital for making Healthcare 4.0 secure and efficient. Conclusion This has underscored the transformative potential as well as the weaknesses involved in integrating quantum computing and blockchain technologies into EHR. However, Ethereum, Bitcoin, and Ripple vary in their transaction rates; all three face a similar quantum threat while having large differences in energy consumption. These are problems that would call for more research into quantum-resistant systems and strategic implementation. Actualization of a secure, efficient, and patient-centered Healthcare 4.0 will call for proactive research collaboration and strategic efforts towards ensuring technological and environmental sustainability.
Aparna Vijayakumar, S. V. Annlin Jeba, Aneetta Ann Mathew, Megha Ann Raju · 5 authors
The healthcare sector is confronting a number of difficulties, including the vulnerability of sensitive patient data, privacy breaches, and medical record theft. Healthcare data is particularly sensitive and requires fail-safe measures to avoid unauthorized access, leakage, and modification. The existing environment is riddled with errors, interoperability challenges, complicated compliance laws, and poor data sharing procedures, all of which dramatically increase the danger of data theft. Recognizing the crucial need for revolutionary action, a paradigm change is advocated for healthcare data security. The suggested approach seeks not only to prevent fraud, but also to build a framework for assuring the absolute integrity and validity of shared patient data. This unique technology goes beyond security by providing the secure transmission of critical health information with access restricted to authorized persons. Adopting a blockchain architecture, like as Ethereum, creates a decentralized and tamper-resistant ledger that allows for the transparent and safe recording of patient-doctor interactions.
Burhan Ul Islam Khan, Khang Wen Goh, Abdul Raouf Khan, Megat F. Zuhairi · 5 authors
Blockchain is recognized for its robust security features, and its integration with Internet of Things (IoT) systems presents scalability and operational challenges. Deploying Artificial Intelligence (AI) within blockchain environments raises concerns about balancing rigorous security requirements with computational efficiency. The prime motivation resides in integrating AI with blockchain to strengthen IoT security and withstand multiple variants of lethal threats. With the increasing number of IoT devices, there has also been a spontaneous increase in security vulnerabilities. While conventional security methods are inadequate for the diversification of IoT devices, adopting AI can assist in identifying and mitigating such threats in real time, whereas integrating AI with blockchain can offer more intelligent decentralized security measures. The paper contributes to a three-layered architecture encompassing the device/sensory, edge, and cloud layers. This structure supports a novel method for assessing legitimacy scores and serves as an initial security measure. The proposed scheme also enhances the architecture by introducing an Ethereum-based data repositioning framework as a potential trapdoor function, ensuring maximal secrecy. To complement this, a simplified consensus module generates a conclusive evidence matrix, bolstering accountability. The model also incorporates an innovative AI-based security optimization utilizing an unconventional neural network model that operates faster and is enhanced with metaheuristic algorithms. Comparative benchmarks demonstrate that our approach results in a 48.5% improvement in threat detection accuracy and a 23.5% reduction in processing time relative to existing systems, marking significant advancements in IoT security for smart cities.