S Jayanthy, Arumugam Arunkumar, Mr. J. Judeson Antony Kovilpillai, M. Bhuvardhena · 5 authors
Transfer of data over the blockchain is significantly improved over the years. This proposed system gives a unique method of transferring patient health data to another hospital or to a peer, using a blockchain-based web application that places patient ownership and data security at the forefront. Patient data is stored in a decentralized and distributed manner using the Interplanetary File System (IPFS), eliminating the need for a central authority. Smart contracts written in Solidity facilitate transactions by checking for sufficient funds and managing the transaction process. A beacon proxy is used to automatically update patient ownership in the smart contract, reducing errors and inaccuracies resulting from manual intervention. The blockchain network offers a secure and decentralized solution for transferring patient health data, ensuring privacy and accessibility only to authorized individuals through advanced cryptographic techniques, distributed data storage, and smart contracts.
Md. Tauseef, Manjunath R Kounte, Abdul Haq Nalband, Mohammed Riyaz Ahmed
The emergence of the Internet of Things (IoT) has revolutionized the way we interact with the physical world. The rapid growth of IoT devices has led to a pressing need for robust security measures. Two promising approaches that can enhance IoT security are blockchain and artificial intelligence (AI). Blockchain can offer a decentralized and tamper-proof framework, ensuring the confidentiality and integrity of IoT data. AI can analyze large volumes of real-time data and detect anomalies in response to security threats in the IoT ecosystem. This paper explores the potential of these technologies and how they complement each other to provide a secured IoT system. Our main argument is that combining blockchain with AI can provide a robust solution for securing IoT networks and safeguarding the privacy of IoT users. This survey paper aims to provide a comprehensive understanding of the potential of these technologies for securing IoT networks and discuss the challenges and opportunities associated with their integration. It also provides a discussion on the current state of research on this topic and presents future research directions in this area.
A. Sasikumar, Logesh Ravi, Ketan Kotecha, Ajith Abraham · 6 authors
Data security and integrity are becoming increasingly important as the volume of data being created and stored grows. A controlled third party that provides most of the existing big data security systems makes them susceptible to several security risks. By resolving current technology challenges, including scalability, non-tampering, trustworthiness, data governance, and transparency, blockchain technology plays a vital role and has a significant potential to safeguard personal information. Therefore, this work focuses on addressing real-time big data storage issues based on a transdisciplinary research approach. This study introduces a brand-new approach to big data storage security that leverages blockchain technology and applies highway protocol to generate new blocks. The proposed highway protocol works based on the flexible finality condition to overcome issues of baseline models. The highway allows blocks to run the consensus mechanism to configure security thresholds more freely. The proposed protocol also allows blocks with lower thresholds to reach finality more quickly than blocks requiring greater degrees of confidence. Therefore, the proposed big data framework can dynamically control data manipulation and continuously support individuals to participate in the data-sharing process. A comparison was performed with the number of data requests in terms of hit ratio, and a highway protocol provides better results than baseline models. The proposed model provides a data processing period of 13 to 30 ms and an energy consumption of 32 to 41 mJ.
Blockchain consensus protocols are responsible for coordinating the nodes to make agreements on the transaction results. Their implementation bugs, including memory-related and consensus logic vulnerabilities, may pose serious threats. Fuzzing is a promising technique for protocol vulnerability detection. However, existing fuzzers cannot deal with complex consensus states of distributed nodes, thus generating a large number of useless packets, inhibiting their effectiveness in reaching the deep logic of consensus protocols.
Osama A. Khashan, Sultan Alamri, Waleed Alomoush, Mutasem K. Alsmadi · 6 authors
In recent times, technology has advanced significantly and is currently being integrated into educational environments to facilitate distance learning and interaction between learners. Integrating the Internet of Things (IoT) into education can facilitate the teaching and learning process and expand the context in which students learn. Nevertheless, learning data is very sensitive and must be protected when transmitted over the network or stored in data centers. Moreover, the identity and the authenticity of interacting students, instructors, and staff need to be verified to mitigate the impact of attacks. However, most of the current security and authentication schemes are centralized, relying on trusted third-party cloud servers, to facilitate continuous secure communication. In addition, most of these schemes are resource-intensive; thus, security and efficiency issues arise when heterogeneous and resource-limited IoT devices are being used. In this paper, we propose a blockchain-based architecture that accurately identifies and authenticates learners and their IoT devices in a decentralized manner and prevents the unauthorized modification of stored learning records in a distributed university network. It allows students and instructors to easily migrate to and join multiple universities within the network using their identity without the need for user re-authentication. The proposed architecture was tested using a simulation tool, and measured to evaluate its performance. The simulation results demonstrate the ability of the proposed architecture to significantly increase the throughput of learning transactions (40%), reduce the communication overhead and response time (26%), improve authentication efficiency (27%), and reduce the IoT power consumption (35%) compared to the centralized authentication mechanisms. In addition, the security analysis proves the effectiveness of the proposed architecture in resisting various attacks and ensuring the security requirements of learning data in the university network.
Asmaa Aldoubaee, Noor Hafizah Hassan, Fiza Abdul Rahim
Blockchain is an exciting new technology that has garnered attention across multiple industries. This new technology offers several advantages, including decentralization, transparency, and immutability. However, several issues limit the effectiveness of this technology, such as scalability, interoperability, and privacy. A systematic review of blockchain scalability research was conducted using three primary databases: ACM, Science Direct, and IEEE. The review examined the state of the art in blockchain scalability, identifying the most important research trends and challenges. The solutions that have been established can be categorized into two main groups: those that pertain to block storage and those that pertain to the underlying blockchain mechanism. Numerous solutions were suggested for each main group. The most common proposed solutions for improving the scalability of blockchain networks in the literature are improving the consensus algorithm and using sharding. Most of the solutions were proof of concept and need more investigation in the future.
Utilizing the 0.1 to 10 THz spectrum in the next-generation wireless communication networks holds potential for futuristic applications. However, managing resources to accommodate numerous devices raises privacy and security concerns. Further, technology proliferation entwines devices, infrastructure complexity, and resources. Indeed, the transition from 5G (fifth-generation) to 6G (sixth-generation) signifies a progression towards high-speed data rates, minimal latency, and seamless integration of artificial intelligence, enabling ground-breaking applications and services. However, it complicates network management, privacy, resource allocation, and data processing. Notably, integrating Blockchain Technology (BCT) and Machine Learning (ML) is a promising solution, enhancing security, decentralization, trust in ML decisions, and efficient data sharing. This survey thoroughly reviews the integrated ML and BCT, showcasing their collaborative enhancement of network security, decentralization, trust in ML decisions, immutability, and efficient model sharing. Furthermore, we also delve into various distinctive topics, such as BCT-enabled spectrum refarming, rate splitting multiple access, 6G radar-based communication, reconfigurable intelligent surfaces, visible light communication, and integrated sensing and communication. Moreover, it also explores the integration of ML and BCT in novel 6G communication technologies, including molecular, holographic, and semantic communication. Finally, critical open issues, challenges, solutions, and futuristic scope are identified for forthcoming researchers.
We are living in the age of various modern technologies and Blockchain is one of the newest among them. Smart contract are used with Blockchain as an add on which brings automation in application. Smart card are also used nowadays widely to access smart services in various domains. Since the vast majority of people nowadays do not want to carry a lot of cards with them at all times. As a result, we came up with a solution to this conundrum. A single Card, which will function as the key card for all municipal services, will serve as the core hub for all of this decentralization. Also planned is the development of a Cryptocurrency wallet, which will allow smart cities to access anything inside the Blockchain Network directly from peer to peer. There will be no intermediates who will be able to access any citizen’s information or data; yet, if an event happens, such as criminal activity, there will be no one to blame. Using blockchain technology, law enforcement will be able to follow down the perpetrators of these crimes since all timestamps will be saved on our platform. Because of this, smart cities will be less prone to criminal activity in general. We can ensure a more efficient smart city by using blockchain technology. Therefore, people will have a greater sense of security at every level of service where Card will play a vital part. Finally, we can say that a Blockchain-based Smart Card will serve as a one-stop solution for all of humanity. Consequently, we don’t have to be worried with all of the services that are offered in any certain place. Life will be far better than it has ever been in the past. Blockchain technology, which was initially introduced in 2008 and is based on cryptography, is the fundamental technology that underpins the bitcoin cryptocurrency. Initially, it was exclusively utilized by the cryptocurrency bitcoin.
The main objective of this article is to present a prototype that integrates blockchain and Internet-of-Things (IoT) devices to digitize information across a generic Supply Chain (SC). Blockchain bring many benefits to the operation of improving provenance and reliability, such as, digitizing the interaction among SC actors to allow implementation of smart contracts to support a secure and authenticated chain. In technical terms, blockchain is a decentralized database where information recording is secure and blockchain-based traceability in the SC can address shortcomings that exist in centralized solutions. Provenance could be achieved by implementing SC business logic within smart contracts using blockchains. This article presents an architecture of software that combines blockchain with IoT devices that allows traceability of a generic product from source to destination, through multi-echelon suppliers, logistics, manufacturers to the end-customer. The presented software architecture uses the Solana blockchain for the implementation of SC processes and business logic. This blockchain was selected from a review, reported in this article, of several widely used blockchain networks. It was selected mainly due to its speed and cost of transactions. Within the blockchain we store SC related data and events communicated over the internet and mobile application channels, in a Solana blockchain using Solana's native blockchain libraries. the IoT devices used are Sigfox cloud gateway, and Sensit that uses LPWAN (Low power wide area network) wireless telecommunication for data transfer. In our IoT device, the blockchain stores temperature, humidity, light, location, tilting, door opening, vibration, and magnetic field. The goal is to use existing technologies to develop a software architecture for a medium term objective of an implementable generic blockchain for SCs.
Megha Pandey, Manivannan Senthil Velmurugan, G. Sathi, Ahmed Radie Abbas · 6 authors
In the growth of computer science blockchain technology has emerged as a disruptive force that is enhancing various area of software and the way data is managed, stored, and safeguarded. This essay offers a thorough examination of the uses and difficulties of blockchain technology in computer science. In this essay, blockchain technology has shown itself to be a game-changing innovation with numerous computer science applications. It has the enormous potential to completely transform sectors including finance, supply chain management, healthcare, voting systems, and IoT devices. The software technology is completely achieved with blockchain technology and the main security issue is solved with energy use and scalability. The new opportunities are examined and addressed with this innovation sector for creating effective solutions.
Many blockchain initiatives significantly use the InterPlanetary File System (IPFS) to store user data off-chain. The centralized administration, ambiguous data, unreliable data, and ease of creating information islands are all issues with traditional traceability systems. This study develops a monitoring system using blockchain technology to record and inquire about product information in the supply network of Non-Perishable (NP) agro goods to address the above issues. The transparency and trustworthiness of traceability data were considerably improved by employing blockchain technology's distributed, tamper-proof, and traceable properties. To alleviate the strain on the blockchain and enable efficient information inquiry, a storage structure is built in which both public and private data are stored in the blockchain and the Inter Planetary File System (IPFS) using cryptography. Because of its ability to trace the origin of food, blockchain technology contributes to the development of reliable food supply chains and the establishment of rapport between farmers and their customers. Since it provides a secure location for data to be kept, it can pave the way for implementing data-driven farming techniques. In addition to improving data security, recording farm data in IPFS and storing encrypted file IPFS hashes in smart contracts solves the issue of blockchain storage explosion. And when used in tandem with smart contracts, it enables instantaneous outflows between parties in response to changes in data stored in the blockchain. The paper also offers simulations of the implementation and analysis of the performance. The findings validate that our system improves security for sensitive information, safeguards supply chain data, and meets the needs of real-world applications. Furthermore, it boosts throughput efficiency while reducing latency.
Vehicular adhoc networks (VANETs) are an interesting area of exploration among the intelligent transportation research community.Communication among vehicles with infrastructure units is an essential component.Thus, trust and privacy are important concerns in addition to dynamic topology, which is the main characteristic of VANETs.Ensuring the vehicles do not broadcast false information as well as protecting the identity of vehicles against tracking attacks are the objectives of this article.Here, a blockchain-based solution has been proposed to establish an identity-preserving trust model for VANETs.It preserves the real identities of vehicles with the utilization of Ethereum blockchain technology.A trust evaluation algorithm has been implemented to stop the dissemination of fraudulent messages.Validation of the algorithm has been conducted by running the algorithm in different VANET scenarios.
Cloud computing has revolutionized organizational operations by providing convenient, on-demand access to resources. The emergence of the Internet of Things (IoT) has introduced a new paradigm for collaborative computing, leveraging sensors and devices that generate and process vast amounts of data, thereby resulting in challenges related to scalability and security, making the significance of conventional security methods even more pronounced. Consequently, in this paper, we propose a novel Scalable and Secure Cloud Architecture (SSCA) that integrates IoT and cryptographic techniques, aiming to develop scalable and trustworthy cloud systems, thus enabling multi-user systems and facilitating simultaneous access to cloud resources by multiple users. The design adopts a decentralized approach, utilizing multiple cloud nodes to handle user requests efficiently and incorporates Multicast and Broadcast Rekeying Algorithm (MBRA) to ensure the privacy and confidentiality of user information, utilizing a hybrid cryptosystem that combines MBRA, Post Quantum Cryptography (PQC) and blockchain technology. Leveraging IoT devices, the architecture gathers data from distributed sensing resources and ensures the security of collected information through robust MBRA-PQC encryption algorithms, while the blockchain ensures that the confidential data is stored in distributed and immutable records. The proposed approach is applied to several datasets and the effectiveness is validated through various performance metrics, including response time, throughput, scalability, security, and reliability. The results highlight the effectiveness of the proposed SSCA, showcasing a notable reduction in response time by 1.67 seconds and 0.97 seconds for 250 and 1000 devices, respectively, in comparison to the MHE-IS-CPMT. Likewise, SSCA demonstrated significant improvements in the AUC values, exhibiting enhancements of 6.30%, 6.90%, 7.60%, and 7.30% at the 25-user level, and impressive gains of 5.20%, 9.30%, 11.50%, and 15.40% at the 50-user level when compared to the MHE-IS-CPMT, EAM, SCSS, and SHCEF models, respectively.
Aditya Pathak, Irfan Al‐Anbagi, Howard J. Hamilton
Recent research has focused on applying blockchain technology to solve security-related problems in Internet of Things (IoT) networks. However, implementing blockchain technology directly on IoT networks is prone to high overheads and energy-expensive operations. Therefore, in this paper, we use edge computing technology to avoid these problems. We also propose a novel Trust-based Access Control Mechanism for Edge-IoT Networks using Blockchain technology (named TABI) to implement end-to-end security in resource-constrained IoT networks. The TABI mechanism utilizes both access control and trust evaluation mechanisms to mitigate the impact of malicious IoT users and devices. Additionally, it incorporates permissioned Hyperledger blockchain technology to provide an added layer of security through authentication. The trust evaluation mechanism is implemented as a trust calculation contract (TCC) on the edge devices using Hyperledger Composer. The access control mechanism employs an Attribute-based Access Control (ABAC) mechanism, which is implemented on the Hyperledger blockchain using two smart contracts: the attribute contract (AC) and the access control contract (ACC). We implement a proof-of-concept (PoC) implementation using Hyperledger Caliper (a benchmark testing tool) and Docker images. Our evaluation includes five analyses: Trust Evaluation Mechanism, Access Control Mechanism, Security, Blockchain, and IoT Applications. Through this evaluation, we highlight the effectiveness of TABI in terms of throughput, latency, detection of malicious IoT devices, and resource consumption of the IoT devices. Our analyses demonstrate that TABI is particularly useful in IoT applications that require low latency and resource efficiency.
In the fire scene investigation, the firefighting Internet of Things (IoT) data is the key electronic evidence for event analysis and responsibility determination. However, the traditional centralized storage method leads to data easy to be tampered with and damaged. To solve these problems, this paper designs and implements a secure, reliable and low-cost distributed firefighting IoT data storage scheme based on the Fabric framework, combining blockchain technology, Interplanetary File System (IPFS) and Practical Byzantine Fault Tolerance (PBFT) consensus algorithm to provide a strong support for fire accident traceability. This scheme mainly includes the storage model, key algorithms and Fabric construction and improvement. IPFS stores the complete firefighting IoT data, as the off-chain storage system of the blockchain, and the blockchain only stores the storage address (IPFS hash) of data returned by IPFS, thus reducing the storage space overhead of the blockchain and ensuring data security. Further, we adopt the Fabric framework as the blockchain platform for firefighting IoT data, and embed the PBFT consensus algorithm into the framework to ensure the reliability of consensus nodes in Fabric, thus improving the availability of the blockchain. In addition, we use the AES and RSA algorithms to ensure the security of firefighting IoT data storage and transmission. Through system analysis and experimental testing, the proposed scheme meets the need for secure storage and traceability of firefighting IoT data. Compared with the storage scheme using only blockchain, the blockchain combined with IPFS technology has advantages in storage space occupation, significantly improved throughput, and lower latency overhead. Meanwhile, compared with the official Fabric, the improved Fabric supports Byzantine fault tolerance and has better security.
Raed Saeed Rasheed, Khalil Hamdi Ateyeh Al-Shqeerat, Ahmed S. Ghorab, Fuad Salama AbuOwaimer · 5 authors
There has been an increase in the adoption of mobile payment systems worldwide in the past few years. However, poor Internet connection in rural regions continues to be an obstacle to the widespread use of such technologies. On top of that, there are significant problems with the currently available offline wallets; for instance, the payee cannot verify the number of coins received without access to the Internet. Additionally, it has been demonstrated that some existing systems are susceptible to false token generation, and some do not even permit the user to divide the offline token into smaller portions to be used as change. This paper proposes a blockchain-based wallet system that provides a secure mobile payment service even if a user cannot access a reliable Internet connection. Our approach relies on Bluetooth and digital signatures to establish and build a trust connection between the parties. The proposed solution overcomes the main limitations of existing systems that use offline transactions, such as the generation of fake offline tokens and the indivisibility of offline tokens. The user buys Offline Tokens (OTs) from a server called an Offline Token Manager (OTM) to use them later to perform offline transactions. Each mobile device must store a single, signed offline token transaction to prevent fake tokens. On the other hand, all offline transactions will be kept as a history in a particular local database. Finally, when the receiver becomes online, it will send a convert request to the OTM to change the value of the OTs to the appropriate amount in real coins. This step requires a connection to the Internet. To evaluate the effectiveness of the system, the Solidity programming language was used to develop a smart contract on the Ethereum blockchain with a backend application programming interface (API) and an android mobile application. The proposed method has an advantage over other prominent wallets.
The convergence of blockchain and Machine Learning (ML) promises to reshape technological innovation by enhancing security, efficiency, and transparency in ML systems. This survey explores the transformative potential of integrating these two technologies. We outline the foundational principles of blockchain and ML, clarifying their capabilities and synergies. We examine how blockchain strengthens ML as a secure, immutable platform for data sharing, model validation, and executing tasks. We emphasize the opportunities for heightened data security, improved model validation, and decentralized, privacy-preserving systems. However, challenges exist like scalability, energy-wise, and the need for new tailored consensus mechanisms. We provide insights based on recent research at this intersection. Additionally, we explore emerging trends and future directions, like blockchain’s application in federated learning for secure, transparent data sharing and model validation. We also investigate privacy-preserving systems such as Proof of Learning, where blockchain enables secure execution while maintaining data privacy. Moreover, we examine the potential for decentralized AI systems leveraging blockchain to deploy and execute models. This survey offers a comprehensive overview of the evolving landscape at the intersection of blockchain and ML, highlighting opportunities and challenges while suggesting future research directions.
Patruni Muralidhara Rao, Srinivas Jangirala, P. Vidhya Saraswathi, Ashok Kumar Das · 5 authors
In V2X (vehicle-to-everything) communication, there is a two-way communication among the vehicle(s) and other Internet of Things (IoT)-enabled smart devices around it that may change how we need to drive. Due to the advancement of Information and Communications Technology (ICT) and the rapid development of IoT in transportation, traditional applications are converted to intelligent applications. In V2X communications, the collected information from the IoT smart devices and other sources passes through low-latency, high-bandwidth, high-reliability links. With the future adoption of the 5th generation mobile network (5G) and beyond networks, V2X continues to produce a huge volume of data. However, collecting and storing data securely in blockchain-based storage are extremely needed for immutability and transparency. In this survey article, the convergence of IoT, V2X and blockchain technologies, and various security challenges and their countermeasures are discussed. Next, we discuss various V2X applications and their respective services. Moreover, IoT-V2X architecture and its enabling technologies are discussed in this article. In addition, we also provide a comprehensive analysis of various security mechanisms. Finally, we provide some important challenges and issues of Blockchain for Intelligent Transportation System (BITS).
Mrs.R. Subapriya, S. Karthikeyan, S. Karthikeyan, A.Gokul Prasath · 5 authors
This article provides a comprehensive review on the use of blockchain technology in supply chain management, with a focus on product authentication and traceability. It then reviews the existing literature on the use of blockchain technology in supply chain management, including case studies and surveys. The product supply chain is a complex process that involves multiple stakeholders, including suppliers, manufacturers, distributors, retailers, and customers. Ensuring transparency, efficiency, and security throughout the supply chain is a challenging task. This paper proposes a decentralized blockchain-based product supply chain management system with QR code verification that can improve transparency, efficiency, and security. The system allows manufacturers to enter product details, including brand name, logo and generates a unique QR code for each product. The QR code can be used by buyers to verify the authenticity of the product and track its movement through the supply chain. The methodology used includes Ganache, IPFS, Blockchain, Ethereum and Truffle.
Cold-chain logistics system (CCLS) plays the role of collecting and managing the logistics data of frozen food. However, there always exist problems of information loss, data tampering, and privacy leakage in traditional centralized systems, which influence frozen food security and people’s health. The centralized management form impedes the development of the cold-chain logistics industry and weakens logistics data availability. This paper first introduces a distributed CCLS based on blockchain technology to solve the centralized management problem. This system aggregates the production base, storage, transport, detection, processing, and consumer to form a cold-chain logistics union. The blockchain ledger guarantees that the logistics data cannot be tampered with and establishes a traceability mechanism for food safety incidents. Meanwhile, to improve the value of logistics data, a Stackelberg game-based resource allocation model has been proposed between the logistics data resource provider and the consumer. The competition between resource price and volume balances the resource supplement and consumption. This model can help to achieve an optimal resource price when the Stackelberg game obtains Nash equilibrium. The two participants also can maximize their revenues with the optimal resource price and volume by utilizing the backward induction method. Then, the performance evaluations of transaction throughput and latency show that the proposed distributed CCLS is more secure and stable. The simulations about the variation trend of data price and amount, optimal benefits, and total benefits comparison of different forms show that the resource allocation model is more efficient and practical. Moreover, the blockchain-based CCLS and Stackelberg game-based resource allocation model also can promote the value of logistic data and improve social benefits.
Karlo Angelo F. Cabugwang, Raphael Christen K. Enriquez, Bienvenido E. Villabroza, Christian Pulmano
There are cases of corruption and fraud within the Philippine government that have gone under the radar, often due to a lack of transparency and verifiability. The objective of this study is to prototype a blockchain network that can run a government process as a decentralized application such that it can enhance transparency and verifiability in the public sector. This can be accomplished by identifying a government process that would be converted into a decentralized application. One of these processes would be converted into a decentralized application. Afterwards, a blockchain framework should be identified — one which can create a public permissioned blockchain network. This framework can be used to design and implement the prototype blockchain network which the decentralized application can run on. The final prototype constitutes of smart contracts deployed on an Ethereum test network with a web frontend to easily interact with it. Mechanisms of the application that are deemed necessary to transparency and verifiability of the system are also identified. Finally, the variable cost of the system and possible limitation is explored in the paper. In this regard, the prototype offers a foundation with which other decentralized applications can follow and build upon. This is to promote transparency and verifiability within and among government processes.
Several unique characteristics of Internet of Things (IoT) devices, such as distributed deployment and limited storage, make it challenging for standard centralized access control systems to enable access control in today’s large-scale IoT ecosystem. To solve these challenges, this study presents an IoT access control system called Ether-IoT based on the Ethereum Blockchain (BC) infrastructure with Attribute-Based Access Control (ABAC). Access Contract (AC), Cache Contract (CC), Device Contract (DC), and Policy Contract (PC) are the four central smart contracts (SCs) that are included in the proposed system. CC offers a way to save user characteristics in a local cache system to avoid delays during transactions between BC and IoT devices. AC is the fundamental program users typically need to run to build an access control technique. DC offers a means for storing the resource data created by devices and a method for querying that data. PC offers administrative settings to handle ABAC policies on users’ behalf. Ether-IoT, combined with ABAC and the BC, enables IoT access control management that is decentralized, fine-grained and dynamically scalable. This research gives a real-world case study to illustrate the suggested framework’s implementation. In the end, a simulation experiment is performed to evaluate the system’s performance. To ensure data integrity in dispersed systems, the results show that Ether-IoT can sustain high throughput in contexts with a large number of requests.
Internet of Things (IoT) devices are becoming increasingly ubiquitous in daily life. They are utilized in various sectors like healthcare, manufacturing, and transportation. The main challenges related to IoT devices are the potential for faults to occur and their reliability. In classical IoT fault detection, the client device must upload raw information to the central server for the training model, which can reveal sensitive business information. Blockchain (BC) technology and a fault detection algorithm are applied to overcome these challenges. Generally, the fusion of BC technology and fault detection algorithms can give a secure and more reliable IoT ecosystem. Therefore, this study develops a new Blockchain Assisted Data Edge Verification with Consensus Algorithm for Machine Learning (BDEV-CAML) technique for IoT Fault Detection purposes. The presented BDEV-CAML technique integrates the benefits of blockchain, IoT, and ML models to enhance the IoT network’s trustworthiness, efficacy, and security. In BC technology, IoT devices that possess a significant level of decentralized decision-making capability can attain a consensus on the efficiency of intrablock transactions. For fault detection in the IoT network, the deep directional gated recurrent unit (DBiGRU) model is used. Finally, the African vulture optimization algorithm (AVOA) technique is utilized for the optimal hyperparameter tuning of the DBiGRU model, which helps in improving the fault detection rate. A detailed set of experiments were carried out to highlight the enhanced performance of the BDEV-CAML algorithm. The comprehensive experimental results stated the improved performance of the BDEV-CAML technique over other existing models with maximum accuracy of 99.6%.