InterPlanetary File System Research Articles

Patient centric decentralizing health records: a gas-efficient Soulbound token framework for EHR management

Abstract The management of electronic health records (EHR) presents ongoing challenges, particularly concerning the security, ownership, and ease of access to medical data. This paper proposes a novel framework for EHR management, utilizing blockchain technology, the InterPlanetary File System (IPFS), and ERC721A-based Soulbound tokens (SBTs) to give patients full control of their health records. These records are securely stored in a decentralized system, which also protects against tampering. Healthcare providers act as custodians to ensure data availability by pinning these records on IPFS. By leveraging ERC721A-based SBTs, we enable efficient linkage of medical data to non-transferable tokens, lowering gas costs and ensuring privacy. This approach enhances the scalability and efficiency of medical data management in line with current demands in healthcare.

Secure Certificate Management using Blockchain Technology

Certificates are crucial in daily life, serving as proof of academic achievement or professional qualifications. However, verifying these documents is often slow, complicated, and prone to fraud, with alarming numbers of fake certificates circulating globally. Such fraudulent activities, including academic certificate fraud, cost employers significantly and pose serious societal threats, particularly in critical fields like medicine. This paper proposes a transformative solution using blockchain technology to address these issues. Our system leverages a decentralized database where certificate records, stored as immutable blocks, are virtually impossible to tamper with. By integrating Ethereum smart contracts for secure record-keeping and the InterPlanetary File System (IPFS) for decentralized file storage, the system ensures secure, permanent storage of credentials, simplifies the authentication process, and significantly mitigates certificate forgery. The proposed methodology utilizes Solidity for smart contract development, Hardhat for deployment, and Ethers.js for blockchain interaction. Testing on the Sepolia testnet confirmed the system's effectiveness, demonstrating successful, immutable, and verifiable certificate registration transactions, proving its robust security and transparency.

Efficient Blockchain-Based Data Storage and Retrieval: Introducing a Novel Fair Chance Consensus Mechanism

There is a rising need for secure and effective ways to store and retrieve data as data privacy takes on more significance. Due to its decentralized and unchangeable nature, blockchain technology has shown potential in this sector. However, the efficiency and scalability of conventional Blockchain systems are constrained. It is suggested an Inter Planetary File System (IPFS) storage and retrieval system on the Blockchain using Elliptic Curve Cryptography (ECC) with Advanced Encryption Standard (AES) for file encryption, Access Control Lists (ACLs) for data access management, a Name Server for decentralized naming, Layered Radix Tree with Adaptive Hashing (LRT-AH) for indexing and Proof of Fair Chance (PoFC) consensus mechanism to overcome these restrictions. Before storing the data on the IPFS network, the system encrypts it using ECC-AES and uses ACLs to restrict access to only approved users. The Name Server offers a practical method of accessing the saved information without jeopardizing user privacy.. PoFC is a fair and effective consensus process since the PoFC algorithm, a revolutionary approach, guarantees that each user has an equal probability of being chosen as the next block minor. LRT-AH provides a scalable and adaptive indexing structure, optimizing data storage and retrieval operations in blockchain environments. The proposed system has demonstrated 50% improvement in efficiency for both insertion and retrieval times over traditional blockchain systems and those utilizing only IPFS. The system performance is analyzed along with scalability and efficiency, proving that it is appropriate for applications requiring massive amounts of data storage and retrieval.

A Review of Blockchain Based Solutions for Intellectual Property Rights Protection and Management

The fast and unbridled growth of digital content presents enormous difficulties for intellectual property (IP) rights management. Conventional systems find it difficult with the natural digital complexity, simplicity of replication, and broad illegal use. This paper uses a methodical literature review and an analysis of more than 39 research publications released between 2018 and 2024 to handle this. These were assembled using especially pertinent keywords taken from main scholarly databases. Our study of these published works reveals that the IP recording and verification process is much enhanced by blockchain's distributed, open, immutable architecture. Smart contracts automate agreements; non-fungible tokens (NFTs) offer special ownership proof and the Interplanetary File System (IPFS) guarantees consistent, distributed storage for digital assets. Still, this paper emphasizes continuing problems including user adoption, legal uncertainty, and scalability constraints. Future studies have to aggressively close these gaps by creating scalable, legally strong, and easily Blockchain solutions. Moreover, incorporating artificial intelligence will be crucial for their widespread and efficient application.

Smart traceable framework for transportation of transplantable organs using IPFS, iot, and smart contracts

Existing organ transportation management systems face significant limitations as they do not allow patients to monitor the condition of the transplantable organ during its transportation from the donor’s place to the recipient’s venue. This undermines patients’ confidence that the organ allotted to them remains uncontaminated, healthy, and unaffected by fluctuations in parameters including temperature, humidity, and the container’s vibration, and orientation. Additionally, there is a lack of technology to ensure that the organ container remains securely closed throughout the shipment. Furthermore, the shipment data is often stored in centralized or with third-party systems, which are potentially vulnerable to security risks and single points of failure. These limitations highlight the need for a more secure, transparent, and reliable solution to improve organ transportation safety and data integrity. This paper addresses these challenges by proposing a cost-efficient, decentralized, and transparent framework for managing organ transportation that enhances data security and traceability. The proposed framework integrates Internet of Things sensors within the organ container and connects them to smart contracts via the InterPlanetary File System. The blockchain ensures data security, immutability, and decentralization, while sensors safeguard the organ by providing real-time updates on its condition. The smart contracts generate alerts for issues and notify stakeholders for prompt action. A key contribution of this work is the novel use of IPFS for off-chain data storage, which reduces blockchain storage requirements, Ether consumption, and overall system costs. A comparative analysis with existing IoT, IPFS, and blockchain-based transportation approaches demonstrates that the proposed framework consumes a negligible amount of Ether; approximately, 0.000023004, equivalent to approximately 5.52 INR; for deployment, while ensuring safe, transparent, cost-effective, and traceable organ transportation.

Large-scale Android malware detection by integrating Blockchain and IPFS for secure virus signature distribution

The growing threat of Android malware underscores the limitations of centralized antivirus systems, which face challenges such as latency, single points of failure, and susceptibility to attacks. To address these issues, this paper introduces a decentralized framework leveraging blockchain technology via Hyperledger Fabric and the InterPlanetary File System (IPFS). The system, HypatiaX, provides secure, efficient, and transparent virus signature distribution while ensuring scalable and resilient data storage. By utilizing blockchain for virus signature management and IPFS for decentralized storage, HypatiaX supports real-time updates in distributed environment. Performance evaluations reveal low resource consumption, near-instantaneous query responses, and efficient virus scanning under diverse conditions. Advanced components, including a ledger controller, signature crawler, key manager, and IPFS client, further strengthen decentralized storage, secure key management, and automatic signature updates. This framework demonstrates significant improvements in combating Android malware while addressing the inherent flaws of traditional antivirus solutions.

Decentralized Trust Architecture for Enhancing Security and Scalability in Cloud Computing

Cloud computing provides scalable and cost-efficient storage, but it also introduces significant security risks due to its reliance on centralized servers vulnerable to cyberattacks and insider threats. Traditional encryption techniques, while essential, are often insufficient in ensuring complete data integrity and protection. This project proposes a decentralized trust architecture that enhances both security and scalability in cloud environments by integrating Ethereum blockchain technology with cloud services. To ensure tamper-proof data storage, the system utilizes the Interplanetary File System (IPFS) for decentralized file hosting, significantly reducing the cost and inefficiency of storing large files. Only the unique hash addresses of encrypted files are stored on the Ethereum blockchain. These hashes act as immutable references, making unauthorized modifications instantly detectable. Smart contracts written in Solidity manage user interactions and data transactions, enforcing integrity through hashcode verification and eliminating reliance on centralized authorities. The system architecture involves launching an IPFS node, deploying the Ethereum blockchain network (either testnet or private), and configuring a cloud-based frontend where users can register, log in, and upload files. Prior to upload, files are encrypted locally, ensuring data confidentiality even before they reach the IPFS network. Once uploaded, the file’s hash is generated and stored on the blockchain via a smart contract, enabling verifiable, secure, and transparent access. This end-to-end decentralized model not only enhances data security but also ensures scalability and trust among users. It effectively bridges blockchain immutability, IPFS efficiency, and cloud accessibility, providing a robust solution for secure cloud storage. The architecture promotes data ownership, resilience against tampering, and user privacy, offering a significant advancement in secure cloud computing infrastructures.

A Privacy-Preserving Record Linkage Method Based on Secret Sharing and Blockchain

Privacy-preserving record linkage (PPRL) aims to link records from different data sources while ensuring sensitive information is not disclosed. Utilizing blockchain as a trusted third party is an effective strategy for enhancing transparency and auditability in PPRL. However, to ensure data privacy during computation, such approaches often require computationally intensive cryptographic techniques. This can introduce significant computational overhead, limiting the method’s efficiency and scalability. To address this performance bottleneck, we combine blockchain with the distributed computation of secret sharing to propose a PPRL method based on blockchain-coordinated distributed computation. At its core, the approach utilizes Bloom filters to encode data and employs Boolean and arithmetic secret sharing to decompose the data into secret shares, which are uploaded to the InterPlanetary File System (IPFS). Combined with masking and random permutation mechanisms, it enhances privacy protection. Computing nodes perform similarity calculations locally, interacting with IPFS only a limited number of times, effectively reducing communication overhead. Furthermore, blockchain manages the entire computation process through smart contracts, ensuring transparency and correctness of the computation, achieving efficient and secure record linkage. Experimental results demonstrate that this method effectively safeguards data privacy while exhibiting high linkage quality and scalability.

Blockchain-Based Identity Management System Prototype for Enhanced Privacy and Security

An Identity Management System (IDMS) is responsible for managing and organizing identities and credentials exchanged between users, Identity Providers (IDPs), and Service Providers (SPs). The primary goal of IDMS is to ensure the confidentiality and privacy of users’ personal data. Traditional IDMS relies on a third party to store user information and authenticate the user. However, this approach poses threats to user privacy and increases the risk of single point of failure (SPOF), user tracking, and data unavailability. In contrast, decentralized IDMSs that use blockchain technology offer potential solutions to these issues as they offer powerful features including immutability, transparency, anonymity, and decentralization. Despite its advantages, blockchain technology also suffers from limitations related to performance, third-party control, weak authentication, and data leakages. Furthermore, some blockchain-based IDMSs still exhibit centralization issues, which can compromise user privacy and create SPOF risks. This study proposes a decentralized IDMS that leverages blockchain and smart contract technologies to address the shortcomings of traditional IDMSs. The proposed system also utilizes the Interplanetary file system (IPFS) to enhance the scalability and performance by reducing the on-chain storage load. Additionally, the proposed IDMS employs the Elliptic Curve Integrated Encryption Scheme (ECIES) to provide an extra layer of security to protect users’ sensitive information while improving the performance of the systems’ transactions. Security analysis and experimental results demonstrated that the proposed IDMS offers significant security and performance advantages compared to its counterparts.

A Novel Blockchain-Based Model for Secure Genomic Data Management.

Advancements in personalized medicine require secure, transparent, and privacy-preserving genomic data management systems. This study proposes a novel hybrid blockchain-based genomic data model integrating Self-Sovereign Identity (SSI), Decentralized Identifiers (DIDs), Verifiable Credentials (VCs), and decentralized storage Interplanetary File System (IPFS) to enable secure, privacy-compliant, patient-controlled genomic data exchange. The model leverages Polygon Proof-of-Stake (PoS) blockchain by deploying a smart contract that enforces fully access control functions applied on 100 samples of synthetic genomic data, ensuring only authorized researchers with valid DIDs and VCs can retrieve genomic data. Later, we performed five tests to evaluate our model performance. Security evaluations confirmed 100% data integrity validation through SHA-256 hash validation on-chain, ensuring tamper-proof genomic data storage. Unauthorized access attempts resulted in zero successful breaches, demonstrating the robustness of SSI-based authentication by showing revoked access. Additionally, IPFS data availability testing confirmed reliable and decentralized data retrieval through the Content Identifier (CID) on-chain. The model's access revocation mechanism enabled real-time patient control over genomic data access, ensuring compliance with GDPR privacy regulations. The proposed model provides a scalable, secure, and privacy-compliant solution for genomic data sharing in precision medicine, empowering patients with full control over their genetic data while facilitating researchers to trustworthy, decentralized data useability for precision research.

A Framework for Blockchain-based Secure Management of Mobile Healthcare (mHealth) Systems

In recent years, several research and development initiatives have focused on developing secure and trustworthy systems for the healthcare industry via pervasive and mobile healthcare (mHealth) solutions. State-of-the-art mHealth solutions primarily rely on centralized storage, such as cloud computing servers, which may escalate the maintenance costs, require ever-increasing storage infrastructure, and pose privacy and security risks to the health-critical data produced, consumed, and transmitted over ad hoc networks. To overcome these limitations, we conducted this study intending to synergize mobile computing (devices to process health-critical data) and blockchain technology (infrastructure to secure storage and retrieval of health-critical data), specifically addressing data security and privacy using a blockchain mHealth system. The research employs an incremental method by (i) developing a framework that acts as a blueprint to architect blockchain-enabled mHealth systems, (ii) implementing a suite of algorithms as a proof-of-concept to automate the framework, and (iii) experimental evaluations to validate the scalability, computation, and energy efficiency of the proposed solution. The proposed framework has been implemented as a frontend using a mobile application interface that exploits the backend via the InterPlanetary File System (IPFS) system and Ethereum blockchain for secure management of mHealth data. We use a case-study-based approach demonstrating how health units, medics, and patients can securely access and distribute health-critical data. For evaluation, we deployed a smart contract prototype on the Ethereum TESTNET network in a Windows environment to test the proposed framework. Results of the evaluation indicate (a) scalability with query response time (range: 10–41 ms), (b) computational performance (CPU utilization: 1.5% – 2.5%), and (c) energy efficiency (gas consumption: 40000 units for 1000 bytes). The proposed solution – framework, algorithms, and experimental evaluation – aims to advance state-of-the-art architecting and implementing cybersecurity mHealth solutions using blockchain technology.

A Blockchain Based Secure and Privacy Preserving Smart E-Government Application Execution System with Reduced Service Completion Delay

In today’s world, e-government services are critical for assisting citizens with their daily activities such as visa applications, tax submission, emergency security assistance, and electronic tendering. By combining blockchain and IoT technologies, e-government services can be made far more secure and efficient. Existing e-government applications suffered from a number of limitations, including a lack of privacy and security, increased job processing time, a lack of coordination among various parties, and a lack of services. More specifically, they did not conduct simultaneous investigations into citizen service, employee service, and business service while comparing performance. To conquer these issues, this article proposes a decentralized blockchain-based secure and privacy-preserving smart e-government system that considers the interactions between informers, government, smart contracts, MetaMask-based public and private wallets, Ethereum, and the Interplanetary File System. We investigated the time and cost delays associated with employee, business, and citizen services in the proposed blockchain-based e-government system. This paper provides appropriate security measures for mitigating malware attacks, DDoS attacks, and Sybil attacks. Our simulation results show that the proposed blockchain-based e-government system can reduce the completion time of existing works by at least 33%. Received: 2 November 2024 | Revised: 6 February 2025 | Accepted: 23 May 2025 Conflicts of Interest The author declares that he has no conflicts of interest to this work. Data Availability Statement The data that support this work are available upon reasonable request to the corresponding author. Author Contribution Statement Nahid Imtiaz: Conceptualization, Methodology, Software, Validation, Formal analysis, Investigation, Resources, Data curation, Visualization. Mahfuzulhoq Chowdhury: Conceptualization, Methodology, Investigation, Resources, Data curation, Writing – original draft, Writing – review & editing, Visualization, Supervision, Project administration.

Blockchain-enabled sustainability of Li-ion batteries supply chain: tracking and sourcing eco-friendly materials

The urgency to combat climate change and reduce greenhouse gas emissions has led to increased global demand for Lithium-ion (Li-ion) batteries. Such batteries are widely used in portable electronics and electric vehicles. However, their adoption encounters challenges related to mining ethics, supply chain transparency, sustainability, and waste management. This paper proposes a blockchain-based solution that addresses these challenges in the Li-ion battery supply chain. Using the ERC-721 standard for Non-fungible tokens (NFTs), we tokenize all items/materials in the supply chain, ensuring data management, transparency, and ownership control. We integrate the Ethereum blockchain with the Interplanetary File System (IPFS) to handle NFT metadata and large-sized files, reducing storage costs and network congestion. We develop ten smart contracts (SCs) to facilitate various Li-ion supply chain functionalities, managing items/materials data and ownership. By leveraging NFTs, our solution promotes circular economy principles by facilitating secondary market trading, asset reuse, and sustainable recycling practices. We introduce a structured decision framework that empowers stakeholders to navigate operational and ethical challenges effectively. The effectiveness and practicality of the solution are demonstrated through system architecture, sequence diagrams, algorithms, and testing results. Furthermore, we assess our proposed solution’s affordability, efficiency, security, and generalizability across different industries.

Implementing a Block Chain-Based Secure File Storage System with Enhanced User Authentication

Abstract—File storage platforms face inherent challenges such as censorship, limited transparency, vulnerability to single points of failure, and restricted user control over data. To address these limitations, this paper proposes a decentralized file-sharing system that integrates the Ethereum blockchain with the InterPlanetary File System (IPFS). Our design leverages smart contracts to securely manage file metadata and enforce access controls, providing an immutable and tamper-resistant record of data ownership and permissions. IPFS is utilized for efficient, distributed file storage, enhancing scalability and availability. User authentication is handled through wallet-based cryptographic verification, eliminating reliance on centralized identity providers. Additionally, the system supports micropayment- based monetization via smart contracts, enabling direct and transparent transactions between content creators and consumers. The proposed platform delivers a secure, censorship-resistant, and user-empowered file-sharing environment consistent with the principles of Web3. Keywords- Blockchain, IPFS, Smart Contracts,

"Intellect Chain: Decentralized IP Trading and Licensing via Blockchain and Tokenization"

Abstract: Intellect Chain: Decentralized IP Trading and Licensing via Blockchain and Tokenization. is a Web3 platform designed to revolutionize the intellectual property (IP) ecosystem. By utilizing blockchain technology, the platform enables the secure tokenization, licensing, and trading of IP assets such as books, films, music, and digital media. It creates an inclusive environment where creators can directly control, validate, and monetize their IP without relying on intermediaries, empowering them to retain ownership and earn royalties in a transparent and secure manner. Developed using the MERN stack (MongoDB, Express, React, Node.js), Genesis Protocol ensures high performance and scalability for seamless user interaction. Ethereum-based smart contracts manage the licensing process, ownership verification, and royalty distribution, while IPFS (InterPlanetary File System) is used for decentralized hosting, guaranteeing tamper-proof and secure access to digital content. NFTs play a critical role in validating and minting IP assets, offering both identity tokens and access rights, and enabling creators to directly interact with consumers and other stakeholders in the ecosystem. Intellect Chain: Decentralized IP Trading and Licensing via Blockchain and Tokenization aims to empower creators, reduce dependency on traditional intermediaries, and enable the transparent, secure, and efficient exchange of IP assets. By creating a decentralized marketplace for IP, the platform fosters innovation, ensures fair compensation for creators, and redefines the way intellectual property is managed, licensed, and traded globally. Keywords: Decentralized IP Trading, Web3, NFT Licensing, Creator Economy, Blockchain Tokenization, Smart Contracts, IPFS Hosting, MERN Stack, Intellectual Property.

Blockchain-Based Social Networking Model Empowered by Non-Fungible Tokens

The increasing reliance on the internet has escalated the frequency and sophistication of cyber threats, making timely identification and mitigation essential. This research presents an AI-powered framework for cyber threat detection and profiling using Natural Language Processing (NLP) and Machine Learning (ML) techniques. By utilizing Twitter as an Open Source Intelligence (OSINT) platform, the system collects real-time threat intelligence, classifies threats, and maps them to the MITRE ATT&CK framework to provide actionable insights. Key processes include data preprocessing, feature extraction using advanced NLP models, and threat profiling to assess intent, origins, and potential impacts. The automated approach reduces analyst workload, enhances accuracy, and accelerates response times, addressing the limitations of manual threat analysis and noisy data sources. This framework aims to advance proactive cybersecurity by delivering real-time, context-aware threat intelligence. Keywords: Blockchain, Non-Fungible Tokens(NFTS), InterPlanetary File System(IPFS), Social Networking, Online Social Networks, Decentralization, Data Ownership, Content Monetization, Reputation Sytsem, NFT

Design, Implementation and Practical Energy-Efficiency Evaluation of a Blockchain Based Academic Credential Verification System for Low-Power Nodes

The educational system manages extensive documentation and paperwork, which can lead to human errors and sometimes abuse or fraud, such as the falsification of diplomas, certificates or other credentials. In fact, in recent years, multiple cases of fraud have been detected, representing a significant cost to society, since fraud harms the trustworthiness of certificates and academic institutions. To tackle such an issue, this article proposes a solution aimed at recording and verifying academic records through a decentralized application that is supported by a smart contract deployed in the Ethereum blockchain and by a decentralized storage system based on Inter-Planetary File System (IPFS). The proposed solution is evaluated in terms of performance and energy efficiency, comparing the results obtained with a traditional Proof-of-Work (PoW) consensus protocol and the new Proof-of-Authority (PoA) protocol. The results shown in this paper indicate that the latter is clearly greener and demands less CPU load. Moreover, this article compares the performance of a traditional computer and two Single-Board Computers (SBCs) (a Raspberry Pi 4 and an Orange Pi One), showing that is possible to make use of the latter low-power devices to implement blockchain nodes but at the cost of higher response latency. Furthermore, the impact of Ethereum gas limit is evaluated, demonstrating its significant influence on the blockchain network performance. Thus, this article provides guidelines, useful practical evaluations and key findings that will help the next generation of green blockchain developers and researchers.

A Private Permissioned Blockchain-Based Architecture for Secure Personal Healthcare Data Sharing in Telemedicine

Blockchain technology has garnered significant attention for its potential to enhance the security, transparency, and trust of data-sharing frameworks. Its applicability spans diverse sectors, effectively addressing concerns such as data centralization, compliance, and traceability. In healthcare, managing Personal Health Records(PHR) poses challenges related to ownership, confidentiality, and accuracy. Integrating blockchain with telemedicine opens new avenues for secure remote healthcare services. This paper proposes a permission blockchain framework utilizing Hyperledger Fabric to safeguard PHR transactions among healthcare entities. The model adopts Byzantine Fault Tolerance (BFT) to maintain system integrity even under node failure or malicious activity. Off-chain data storage is handled using the Interplanetary File System (IPFS), ensuring decentralized and secure file management. Smart contracts offer fine-grained access control to empower patients with data autonomy. The framework's performance is evaluated using Hyperledger Caliper, focusing on latency, CPU usage, and memory efficiency during record access and update operations. Overall, the system enhances data security and efficiency in telemedicine, promoting patient empowerment and reliable health data sharing.

The YouGovern Secure Blockchain-Based Self-Sovereign Identity (SSI) Management and Access Control

Self-sovereign identity (SSI) is an emerging model for digital identity management that empowers individuals to control their credentials without reliance on centralized authorities. This work presents YouGovern, a blockchain-based SSI system deployed on Binance Smart Chain (BSC) and compliant with W3C Decentralized Identifier (DID) standards. The architecture includes smart contracts for access control, decentralized storage using the Inter Planetary File System (IPFS), and long-term persistence via Web3.Storage. YouGovern enables users to register, share, and revoke identities while preserving privacy and auditability. The system supports role-based permissions, verifiable claims, and cryptographic key rotation. Performance was evaluated using Ganache and Hardhat under controlled stress tests, measuring transaction latency, throughput, and gas efficiency. Results indicate an average DID registration latency of 0.94 s and a peak throughput of 12.5 transactions per second. Compared to existing SSI systems like Sovrin and uPort, YouGovern offers improved revocation handling, lower operational costs, and seamless integration with decentralized storage. The system is designed for portability and real-world deployment in academic, municipal, or governmental settings.

A blockchain based deep learning framework for a smart learning environment

In the contemporary digital age, education is no longer limited to traditional educational environments. Many educational institutions shifted to depend on the smart learning process but expressed concern about this solution due to its various challenges in securing the learning process and learners’ data. By virtue of the most recent technologies like blockchain and artificial intelligence, which played a significant role in solving many challenges that faced the educational sector and overcoming issues like fake certificates, manipulation, tracking learners’ activities, and predicting learners’ academic performance. The study proposed a smart framework based on blockchain and deep learning to enhance smart learning processes and provide solutions for challenges in the field. The framework is intended to store the learner’s data on the blockchain through the interplanetary file system and reap the benefits of securing the learner’s data and ensuring its integrity, as well as ensuring the confidentiality and authentication of the users through the wallets that are created on the Ethereum private blockchain platform. Then apply the deep learning model to this secured data to predict the learner’s performance. The smart contract functions also play a role in enabling the university to issue learners’ certificates that are stored on the blockchain to be available and verifiable by all the nodes in the network. Based on the experimental results, deep neural networks were used to model the encrypted data that was stored on the blockchain and predict the learner’s performance and achieved a high degree of accuracy (91.29%) and low loss (about 0.18) in comparison to other studies that depended on the centralized nature of the data. As well, the university blockchain’s functionality was tested, and it successfully returned all the functional requirements and showed its legitimacy.