Safa Hussein Oleiwi, Saraswathy Shamini Gunasekaran, Karrar Ibrahim Abdulameer, Mazin Abed Mohammed · 5 authors
The increasing number of Internet of Things (IoT) devices in healthcare applications, particularly during emergencies, necessitates safe protocols for transmitting real-time data. Medical data are essential for healthcare applications, and reliance on IoT devices to control information flow necessitates the consideration of five critical areas. This work addresses the security challenges associated with the transmission and storage of copyrighted healthcare data, as well as the inadequacy of the present methods in facilitating real-time data transfer given the volume of data and network conditions. This research provides a theoretical framework for the secure and immediate offloading of computations in IoT healthcare systems. The objective is to implement secure communication and networking technologies to ensure the security and integrity of medical data, maintain confidentiality, and facilitate real-time transmission of information. The proposed framework is simulated in MATLAB for system model implementation. A blockchain network sandbox was established with the delegated proof-of- stake (DPoS) consensus method, supplemented by proof-of-work (PoW) and proof-of-validation (PoV) for enhanced security. To assess the efficacy of this framework, multiple test scenarios focused on the number of nodes, the volume of data, and the conditions of network connectivity. The results demonstrated the system's efficacy in facilitating the offloading of real-time data in IoT healthcare applications. The aforementioned study demonstrated that the framework exhibited rapid transaction processing, efficient resource use, and energy conservation while also enhancing secure data transmission across various network conditions. The findings confirm that the proposed architecture can effectively and securely transmit real-time data in IoT healthcare applications without jeopardizing data authenticity, privacy, or integrity. The system's ability to address security challenges and manage substantial data volumes under varying settings indicates that it can be effectively deployed in healthcare systems, particularly in critical situations.
Christian Delgado‐von‐Eitzen, Luis Anido, María Ruiz‐Molina, Manuel J. Fernández Iglesias
ABSTRACT Introduction The popularization of blockchain‐based applications made evident a critical challenge, namely the inherent isolation of these decentralized systems, akin to the disconnected and technologically diverse local area networks of the 1970s. This lack of interoperability limits the potential for widespread adoption and innovation in the blockchain space. While various initiatives aim to bridge this gap, many remain nascent. Methods This article addresses this issue by proposing a robust architecture and practical implementation to interconnect two Ethereum‐based blockchains, enabling seamless smart contract interactions across these chains, and facilitating the exchange of complex information beyond mere token transfers. Results Our work explores the emerging landscape of inter‐blockchain communication, highlighting their current maturity and potential, and providing insights on how to overcome the technical hurdles associated with these protocols, particularly in the context of transmitting complex data and executing cross‐chain function calls. Additionally, we illustrate with a case study the challenges posed by linking private blockchains with public ones, ensuring secure and efficient data exchange. Conclusion This article aims to inspire blockchain researchers and practitioners, presenting a foundational framework for enhancing blockchain interoperability, including detailed, practical steps for its implementation. By laying the groundwork for more connected blockchain ecosystems, we intend to support the continued evolution and widespread adoption of blockchain technology.
In recent years, the emergence of blockchain technology has catalyzed significant transformations across various sectors. Traditional methods of electronic data management have often been susceptible to security breaches, inefficient data access, and unauthorized exposure to third parties. Consequently, there's a pressing need for the development of a resilient, secure, and scalable approach to managing sensitive data, particularly in the realm of healthcare. This research paper introduces an innovative framework known as MediSecure, which amalgamates blockchain technology, specifically Ethereum, with the Inter-Planetary File System (IPFS) to fortify the security and scalability of Electronic Health Records (EHR). The findings of the study underscore the efficacy of the MediSecure framework, showcasing notable improvements in scalability, robust security features, and sustained data integrity. Through its innovative approach,
The development of medical data and resources has become essential for enhancing patient outcomes and operational efficiency in an age when digital innovation in healthcare is becoming more important. The rapid growth of the Internet of Medical Things (IoMT) is changing healthcare data management, but it also brings serious issues like data privacy, malicious attacks, and service quality. In this study, we present EdgeGuard, a novel decentralized architecture that combines blockchain technology, federated learning, and edge computing to address those challenges and coordinate medical resources across IoMT networks. EdgeGuard uses a privacy-preserving federated learning approach to keep sensitive medical data local and to promote collaborative model training, solving essential issues. To prevent data modification and unauthorized access, it uses a blockchain-based access control and integrity verification system. EdgeGuard uses edge computing to improve system scalability and efficiency by offloading computational tasks from IoMT devices with limited resources. We have made several technological advances, including a lightweight blockchain consensus mechanism designed for IoMT networks, an adaptive edge resource allocation method based on reinforcement learning, and a federated learning algorithm optimized for medical data with differential privacy. We also create an access control system based on smart contracts and a secure multi-party computing protocol for model updates. EdgeGuard outperforms existing solutions in terms of computational performance, data value, and privacy protection across a wide range of real-world medical datasets. This work enhances safe, effective, and privacy-preserving medical data management in IoMT ecosystems while maintaining outstanding standards for data security and resource efficiency, enabling large-scale collaborative learning in healthcare.
Article investigates a blockchain-based framework for enhancing data security in Internet of Things (IoT) systems. Employing a qualitative research methodology, the study explores the integration of blockchain technology to address vulnerabilities in IoT ecosystems, including data breaches, unauthorized access, and the challenges of centralized data storage. By analyzing existing literature, case studies, and expert opinions, the research identifies blockchain's potential to provide secure, decentralized, and immutable data management in IoT systems. The findings highlight blockchain's ability to enhance data integrity through distributed ledgers, ensure data confidentiality via advanced cryptographic techniques, and improve accountability with transparent transaction records. Additionally, the research underscores the scalability challenges of blockchain in IoT, proposing hybrid architectures that combine private and public blockchain systems to optimize performance and resource utilization. Real-world applications such as smart home systems, healthcare IoT, and industrial IoT demonstrate the practical viability of blockchain integration for improving security. The study also emphasizes the importance of regulatory frameworks and cross-industry collaboration to address interoperability and privacy concerns. This research contributes to the growing discourse on secure IoT infrastructure by presenting a comprehensive blockchain-based security framework. The proposed framework offers actionable insights for IoT developers, researchers, and policymakers seeking to enhance trust, reliability, and resilience in IoT systems.
Alaa Awad Abdellatif, Khaled Shaban, Ahmed Massoud
This study introduces a secure, adaptable, and decentralized learning framework empowered by blockchain technology to enhance smart grid security and efficiency. Security is achieved through blockchain’s ledger, ensuring data integrity, privacy, and resilience. Adaptability refers to the framework’s ability to adjust to changing conditions, supporting multiple learning paradigms . Decentralization enhances fault tolerance by distributing control across nodes. Our framework excels in scalability, data-exchange security, and rapid response times , aiming to establish an intelligent blockchain-based smart grid supporting centralized learning (CL), federated learning (FL), and active federated learning (AFL). We present an innovative blockchain-based architecture customized to optimize information sharing and security within the blockchain. Our solution addresses various learning paradigm requirements by: (i) Selecting reliable entities for participation based on high-quality training data models; (ii) Acquiring a reliable subset of data for CL and AFL, balancing learning performance , latency, and cost; (iii) Adjusting blockchain configuration to align with specific learning paradigm requirements. Results from real-world datasets demonstrate superior performance compared to existing solutions. Our framework achieves high learning performance while minimizing latency and blockchain costs.
The Internet of Things (IoT) is now causing a massive wave of digitization, creating vast amounts of data in the Internet of Everything era. Distributed ledger technologies like blockchains and IOTA are essential to IoT data services. The IOTA Foundation has completely redesigned distributed ledger technology to enable secure cash and data exchange, fee-free microtransactions, and scalable network growth for IoT device networks. It provides an approach and transaction confirmations to enable smart device microtransactions. The quicker the network uses the IOTA Tangle, the more transactions are verified. However, IOTA’s maximum transaction rate of approximately seven transactions per second (TPS) limits its potential. In May 2020, the community network achieved 600 confirmed Transactions Per Second (CTPS), showcasing progress. Motivated by the need to enhance IoT scalability and efficiency, this research proposes a methodology to integrate Tangle into IoT blockchains, leveraging Tangle as the backbone for IoT devices. The approach addresses message flooding, reducing overhead while offering a distinct web interface cost-cutting strategy to minimize transaction time and storage for microtransactions. Experimental results demonstrate that the framework improves transaction throughput, substantially reducing processing time and resource usage. These findings underscore its efficacy in enabling efficient and scalable IoT microtransactions. The research concludes that the proposed integration of Tangle enhances IoT transaction efficiency and sets a foundation for future innovations in secure, lightweight IoT data exchange.
Dec 18, 2024·Advances in knowledge acquisition, transfer, and management book series/Advances in knowledge acquisition, transfer and management book series
Blockchain technology is a distributed, decentralized ledger system that securely and openly records transactions across numerous computers, or “nodes.” The importance of blockchain goes beyond virtual currency. Voting systems, healthcare, supply chain management, banking, identity verification, and other industries are all revolutionized by it. Blockchain guarantees data provenance, trust, and decentralized knowledge repositories in the context of knowledge management. Blockchain has a considerably wider impact than just digital currency; it is influencing a future in which cooperation, security, and trust are valued in a variety of industries. Blockchain ensures transparency, trust, and cooperation, which strengthens knowledge management. By adopting this technology, we open the door to a decentralized future in which information is securely and freely exchanged. This study explores the decentralized concept of blockchain technology, discuss the various aspects of it, the impact of blockchain in contemporary applications and provide hints towards formation of Knowledge Ecosystems.
Dec 18, 2024·Advances in knowledge acquisition, transfer, and management book series/Advances in knowledge acquisition, transfer and management book series
This chapter explores the intersection of blockchain technology and knowledge sharing systems, examining how distributed ledger technology can revolutionize collaboration and information exchange across various domains. We investigate the potential of blockchain to create secure, transparent, and decentralized platforms for knowledge management, addressing current challenges in traditional systems such as data silos, lack of trust, and inefficient information flow. Through a comprehensive literature review, methodology discussion, and analysis of relevant case studies and experimental research, we demonstrate the transformative impact of blockchain on knowledge sharing practices. The chapter also delves into future trends and potential applications, providing insights into the evolving landscape of blockchain-based collaboration systems.
Tiago Guimarães, Ricardo Duarte, Francini Hak, Manuel Filipe Santos
Hospital inpatient care relies on constant monitoring and reliable real-time data. Continuous improvement, adaptability, and state-of-the-art technologies are critical for ongoing efficiency, productivity, and readiness growth. When appropriately used, technologies, such as blockchain and IoT-enabled devices, can change the practice of medicine and ensure that it is performed based on correct assumptions and reliable data. The proposed electronic health record (EHR) can obtain context information from beacons, change the user interface of medical devices according to their location, and provide a more user-friendly interface for medical devices. The data generated, which are associated with the location of the beacons and devices, were stored in Hyperledger Fabric, a permissioned distributed ledger technology. Overall, by prompting and adjusting the user interface to context- and location-specific information while ensuring the immutability and value of the data, this solution targets a decrease in medical errors and an increase in the efficiency in healthcare inpatient care by improving user experience and ease of access to data for health professionals. Moreover, given auditing, accountability, and governance needs, it must ensure when, if, and by whom the data are accessed.
Juan Minango, Henry Carvajal Mora, Marcelo Zambrano, Nathaly Orozco Garzón · 5 authors
This paper evaluates the technical feasibility of blockchain technology within the healthcare ecosystem, with a focus on the use of Corda Distributed Ledger Technology (DLT) to ensure data integrity, security, and trustworthiness. Key attributes examined include the guarantee of data integrity—ensuring that transmitted data remains unaltered; authenticity through the implementation of digital signatures and certificates; confidentiality achieved via secure peer-to-peer communication accessible only to authorized parties; and traceability and auditing mechanisms that enable tracking of information changes and accountability. To validate these features, a Corda Distributed Application (CorDapp) was developed to manage the core logic of the healthcare ecosystem. The CorDapp was deployed across nodes and executed within the Corda Network. Its performance was assessed using metrics such as throughput, latency, CPU usage, and memory consumption in both local and cloud network environments. Results demonstrate the feasibility of using Corda blockchain technology in healthcare, effectively addressing critical requirements such as integrity, authenticity, confidentiality, traceability, and auditing while maintaining satisfactory performance across diverse deployment scenarios.
The abstract highlights the potential of integrating blockchain into 5G networks and the Metaverse and proposes an enhanced blockchain protocol for various applications. It emphasizes the transformative nature of 5G and blockchain technologies and their ability to revolutionize industries. It also discusses the capabilities of blockchain, such as smart contracts and decentralized storage, and the opportunities it presents for in- novative 5G services. It also addresses the challenges and open research problems in this domain. Furthermore, it explores the application of blockchain in the Metaverse, focusing on security, privacy, and scalability concerns. The proposed innovation aims to improve the blockchain protocol to effectively support 5G, Web3, Edge Computing, Metaverse, and many more applications. It prioritizes immutability, confidentiality, and availability and offers advantages to interaction and digital experiences. The objective is to create a protocol that meets diverse industry requirements while considering different approaches to achieve its goals.
2 source records
Blockchain Technology Applications and Security
Advanced Steganography and Watermarking Techniques
Routing protocol for low-power and lossy network (RPL) is a routing protocol for resource-constrained Internet of Things (IoT) network devices. RPL has become a widely adopted protocol for routing in low-powered device networks. However, it lacks essential security features, including end-to-end security, robust authentication, and intrusion detection capabilities. Blockchain is a decentralized and immutable digital ledger that records transactions across multiple computers. It provides privacy, transparency, security, and trust. In this work, we proposed a blockchain-based reliable RPL protocol called reliable-RPL, which uses node reliability, link reliability, and relative trust scores of RPL-enabled IoT devices. The parent selection and network topology formulation are based on the proposed reliability-aware objective function. A lightweight ECC-based scheme performs registration, identification, and authentication of RPL-enabled IoT devices. The consistent topological updates from these authenticated IoT devices are used to secure routing paths in RPL-enabled networks. Using a modified trickle algorithm, we employed a reputation-based trust system that monitors and labels malicious nodes based on their reliable activities. The novelty of the proposed framework relies on integrating Contiki-NG (as fronted for IoT network simulation) and Hyperledger Fabric (as a backend for blockchain-based device authentication and trust-based attack resilience regarding rank, replay, sinkhole, and route poisoning attacks). The experimental evaluation of reliable-RPL has demonstrated its effectiveness compared to state-of-the-art methods regarding significant performance metrics, including packet loss, routing overhead, and throughput on Hyperledger Caliper.
The Internet of Things (IoT) has witnessed exponential growth, connected billions of devices, and enabled various applications of distributed and heterogeneous nature. The extensive embrace of IoT devices has sparked noteworthy apprehensions regarding security. The majority of these devices prioritize user-friendliness during manufacturing rather than robust security. Consequently, conventional security measures frequently prove inadequate in safeguarding the integrity, confidentiality, and accessibility of IoT networks. Together, these issues give rise to substantial threats to the entire system. Each IoT device generates a cryptographic hash of its data and records it on the blockchain. Smart contracts and consensus mechanisms can be utilized to facilitate node status management and consensus on the state of the IoT network. Integration of blockchain technology for detecting malicious activity in IoT networks brings several benefits, including increased transparency, data integrity assurance, and decentralized trust. Blockchain technology offers a trustless environment in which multiple parties can collaboratively verify and confirm the legitimacy of data and transactions. This characteristic is achieved through consensus algorithms like proof-of-work and proof-of-stake, effectively thwarting attempts by malicious entities to manipulate or jeopardize the integrity of the system. Blockchain&s;s resilience to attacks and tampering provides an additional layer of security for IoT systems. Nodes can refer to the blockchain for verifying the integrity and authenticity of the data generated by other nodes, enabling the identification and isolation of malicious actors in the network.
The rapid deployment of 5G networks necessitates the development of secure, scalable, and efficient Internet of Vehicles (IoV) systems. Existing IoV solutions often struggle with real-time threat detection, scalability, efficient resource allocation, and privacy preservation. This work proposes an integrated framework leveraging blockchain technology, AI-driven anomaly detection, dynamic network slicing, and secure multi-party computations. We introduce AI-Driven Anomaly Detection and Mitigation (ADAM) to identify and respond to security threats in real-time. Utilizing Convolutional Neural Networks (CNNs) and Recurrent Neural Networks (RNNs), ADAM analyzes network traffic data to detect anomalies with a detection accuracy of 95%, a false positive rate of 2%, and an average response timestamp of 50 ms. To tackle scalability and latency issues inherent in traditional blockchain systems, we propose Edge-Based Blockchain Sharding (EBBS).The innovative use of a modified Proof-of-Stake (PoS) mechanism tailored for edge environments further enhances the scalability of the IoV system. AI-Enabled Dynamic Network Slicing (ADNS) is implemented to optimize resource allocation based on real-time traffic demands and QoS requirements. Finally, we incorporate Secure Multi-Party Computation for Collaborative Data Processing (SMPC-CDP) to enable secure, privacy-preserving data analysis among IoV entities ensuring privacy with a computation overhead of 20%, and data utility preservation of 95%.
In the Web3.0 era, which does not rely on any centralized organization and emphasizes user control, security, trustworthiness and the importance of data privacy, blockchain plays a key role. Its decentralization, security and trustworthiness and other characteristics have become Building the infrastructure of trusted interconnection and value interconnection in the Web3.0 era has laid the foundation for the development of Web3.0. With the development of Web3.0, blockchain technology itself is also continuing to develop. There are more and more researches on the integration and innovative development of blockchain technology with big data, artificial intelligence, metaverse, Internet of Things and privacy computing. In this context, the basic principles and characteristics of Web3.0 and blockchain technology are first explained, focusing on the decentralization, traceability and non-tampering characteristics of blockchain, and then an overview of the relationship between blockchain and The advantages of the integrated innovation and development of big data, artificial intelligence, metaverse, Internet of Things and privacy computing are analyzed.The standardization construction situation and future work prospects of the integrated innovation and development of blockchain technology under Web3.0 are analyzed.
Growing Internet Of Things (IoT) boosts rapid development Of smart home technologies.. Yet it brings new security challenges.. Centralized architectures frequently used in smart home networks are particularly at risk through gateways. .Such networks are exposed to numerous security threats. These include unauthorized access, data tampering And single points of failure. In this study we suggest decentralized blockchain-based system to reinforce security in smart home environments .Through integration of blockchain technology we seek to handle problems like data integrity. Also authentication and availability. Adopting Our proposed architecture plays upon use Of Ethereum blockchain.. It utilizes smart contracts to manage and secure interactions Between devices in the household.. Furthermore employing SHA-256 hashing guarantees privacy to sensitive data exchanged between devices. .It also makes the transmitted data tamper-proof. We perform real-time validation of data over distributed ledgers. This considerably diminishes chance of cyber-attacks .Our strategy is Scalable and Safe for management of Smart homes.