Aman Chaudhary, Bhavy Singhal, Aryan Siwach, Priyanka Dhanraj
Abstract The rapid increase in digital data has led to heavy reliance on centralized cloud computing. Consequently, users are exposed to critical vulnerabilities, including unauthorized access, privacy invasion, and single points of failure. This study proposes a cloud storage system that is trustless to address these challenges that have persisted. The underlying methodology utilizes distributed data hosting based on the InterPlanetary File System (IPFS) and decentralized access control through Solidity smart contracts. Under this architecture, file metadata is stored safely on an unalterable blockchain registry, and the media files are stored off-chain. These contracts are automatically run by granular access controls like specific public and private visibility modes. At any point, no outside intervention of a third party is needed. The system was checked during the testing time in terms of a functional accuracy in regards to a secure storage, verifiable retrieval, and instant revocation of permissions. According to the key results, the elimination of intermediary control, prevention of unauthorized access to data attempts, and high data availability are achieved. In conclusion, this shows that a combination of programmable smart contracts and peer-to-peer storage will provide a potentially scalable and secure alternative to the traditional cloud architecture. This leads to a considerable improvement in user data sovereignty and systemic resilience as a whole. Keywords Ethereum, Solidity, IPFS, Smart Contracts, Decentralized Storage
The rapid growth of cloud computing has significantly transformed the way digital data is stored, managed, and accessed, enabling efficient sharing of information across distributed environments; however, this advancement introduces serious concerns related to data security, privacy, and trust, particularly when sensitive information is involved. Many cloud-based systems rely on centralized architectures, which increase the risk of single points of failure, unauthorized access, data tampering, and limited transparency in tracking data activities. These systems often depend on basic encryption techniques without strong auditing or verification mechanisms, making them vulnerable to insider misuse and external cyber threats, while the absence of immutable records reduces accountability and weakens user confidence. Such limitations highlight the need for a secure and transparent data-sharing framework that ensures confidentiality, integrity, and traceability of data transactions. To address these challenges, the proposed system introduces a secure cloud data sharing model developed using the Django framework, integrating Elliptic Curve Cryptography (ECC), blockchain technology, and the InterPlanetary File System (IPFS) to enhance data protection and decentralization. In this approach, ECC is used to generate cryptographic keys and encrypt user files before storage, ensuring that only authorized users can decrypt the data using the corresponding private key. The encrypted files are stored using IPFS for distributed and content-addressable storage, while file metadata such as username, filename, and timestamp is recorded on the blockchain through smart contracts using Web3, providing a decentralized and tamper-resistant record of all transactions. The system also supports user registration, authentication, secure file upload, and controlled file download functionalities, ensuring secure access and traceability. During file access, encrypted data is retrieved from IPFS and decrypted using ECC to maintain end-to-end security. By combining cryptographic encryption, decentralized storage, and blockchain-based verification, the proposed system enhances data confidentiality, prevents unauthorized modifications, and establishes a reliable and transparent framework for secure cloud data sharing.
Blockchain technology has become a game-changing way to solve long-standing problems with data security, integrity, and trust in distributed environments. Its decentralized structure, unchangeability, and cryptographic features make it a strong way to protect sensitive data from unauthorized access, tampering, and cyberattacks. This study investigates the function of blockchain in fortifying contemporary data security frameworks, analyzing the ways in which consensus algorithms, smart contracts, and distributed ledgers improve confidentiality, availability, and accountability. This study emphasizes blockchain's capacity to transform data governance through an in-depth examination of existing applications, limitations, and case studies, while also identifying the technical and operational challenges that must be resolved for widespread implementation. This study also highlights the role of the CoreDaoVip Global Curriculum in strengthening blockchain-based data security frameworks by integrating decentralization, cryptographic mechanisms, smart contracts, and ethical governance. The curriculum adopts a security-by-design approach aligned with the Satoshi 3.0 philosophy, enabling the development of tamper-resistant, transparent, and privacy-preserving data architectures. By bridging theoretical foundations with practical implementation, CoreDaoVip prepares a globally competent workforce capable of addressing emerging data security challenges across critical digital ecosystems.
Sahri Ramadan, Sawali Wahyu, Budi Tjahjono, Riya Widayanti
The increasing adoption of electronic certificates in academic and professional environments raises critical challenges related to authenticity, data integrity, and verification reliability. Conventional certificate management systems commonly rely on centralized architectures and manual validation procedures, which are vulnerable to manipulation, duplication, and single points of failure (SPoF). This study proposes a blockchain-based electronic certificate verification system implemented on a private Hyperledger Fabric network using smart contracts. The system records certificate verification metadata on a distributed ledger to ensure integrity and traceability while maintaining storage efficiency. Smart contracts automate the issuance and validation lifecycle, enabling transparent and tamper-resistant certificate management. The verification process is conducted by comparing document authentication data with records stored on the blockchain. Experimental evaluation demonstrates that the proposed system can accurately identify document alterations and consistently distinguish between valid and invalid certificates. The results indicate that the integration of blockchain and smart contracts as an active validation mechanism enhances transparency, reduces dependence on centralized authorities, and improves trust in mobile-based digital credential systems. Therefore, the proposed approach provides a secure and reliable framework for electronic certificate verification in academic environments.
J. Rekha J. Rekha, N. Soujanya N. Soujanya, R. Sai Deepthi R. Sai Deepthi, S. Praveen Kumar S. Praveen Kumar · 6 authors
Cloud computing has revolutionized the way organizations and individuals store, process, and manage data by offering scalable and cost-effective solutions over the internet. However, despite its widespread adoption, cloud computing faces critical challenges related to data security, privacy, trust, and centralized control. Centralized cloud architectures are highly susceptible to cyber-attacks, unauthorized access, and data breaches, which can compromise sensitive information. To address these issues, this project proposes a blockchain-integrated cloud system called Cloud Chain, which leverages Ethereum blockchain technology to enhance security and trust in cloud environments.The proposed system utilizes smart contracts to automate access control and ensure secure data transactions. Blockchain provides an immutable and decentralized ledger, making it nearly impossible to alter stored data without detection. This system enables secure file storage, transparent data access, and efficient verification mechanisms. By integrating blockchain with cloud computing, the project enhances data integrity, reduces dependency on centralized authorities, and improves overall system reliability. The experimental results demonstrate that the proposed system provides a more secure and scalable solution compared to traditional cloud systems.
However, the centralized cloud storage poses a great threat to the security and privacy of the user. In the digital world, cloud storage is one of the most fundamental components of data storage and online services. In the traditional centralized approach, the data, including user information, credentials, and other access information, is stored centrally. This approach is highly vulnerable to attacks and data breaches. The main objective of the proposed research is to develop a system that improves the security, privacy, and control of the data, as well as providing a secure environment for storing and sharing digital assets. The system uses the Blockchain technology and the InterPlanetary File System (IPFS) to provide secure and tamper-proof storage. In the proposed system, Elliptic Curve Cryptography (ECC) is used to ensure the highest level of encryption using the smallest key sizes. In addition, the proxy re-encryption method is used to ensure the secure sharing of data among authorized users without revealing the original encryption keys. Zero-Knowledge Proof (ZKP) is used to ensure the highest level of privacy by verifying the user's authorization without revealing the actual credentials. The combination of decentralized storage, blockchain-based verification, and advanced cryptographic techniques provides a robust solution for mitigating cloud security threats, ensuring confidentiality, integrity, and transparency, and fostering a trustworthy environment for both individuals and organizations.
P. Subramanya Sai, Bhukya Niranjan, Akula Tejaswini, A Varshitha · 5 authors
The exponential increase in digital data exchange and online communication has intensified the need for secure, transparent, and dependable file-sharing systems. Critical information such as financial records, healthcare data, confidential documents, and research outputs is frequently transmitted across distributed networks, where conventional centralized storage models introduce significant vulnerabilities. These traditional systems rely on single-point control, making them prone to data breaches, unauthorized access, service disruptions, and integrity violations. Furthermore, they lack transparency and robust audit mechanisms, raising concerns about data reliability and trustworthiness during storage and transmission. To overcome these limitations, this work proposes a decentralized and secure file-sharing framework that integrates blockchain technology, the Inter-Planetary File System (IPFS), and cryptographic techniques. The system ensures data confidentiality by encrypting files using the Elliptic Curve Integrated Encryption Scheme (ECIES) before storing them in the distributed IPFS network. Instead of placing the actual data on-chain, only essential metadata including file hash, ownership details, timestamps, and access permissions is maintained within a smart contract on the Ethereum blockchain. This design guarantees immutability, traceability, and protection against tampering, while enabling fine-grained access control. In addition to secure storage, the framework incorporates ChaCha20-based symmetric encryption to evaluate and compare computational performance with asymmetric methods. The combination of decentralized storage, cryptographic security, and immutable ledger technology eliminates reliance on centralized authorities, thereby reducing single points of failure and enhancing system resilience. The proposed approach ensures that only authorized entities can access and decrypt shared content while maintaining transparency of file transactions.
The rapid advancement of digital technologies in healthcare has increased the need for secure, transparent, and efficient management of medical data. However, most existing systems rely on centralized architectures, where sensitive patient information is controlled by a single authority. This creates vulnerabilities such as data breaches, unauthorized access, and single points of failure, which can compromise data integrity and patient privacy. The core problem addressed in this research is the lack of a decentralized and tamper-resistant mechanism for managing Electronic Health Records (EHR). Current solutions often suffer from limited transparency, inefficient data sharing between patients and doctors, risks of data manipulation, dependency on intermediaries, and scalability issues due to large medical files like reports and prescriptions. To address these challenges, this research proposes a blockchain-based healthcare management system integrated with the Inter-Planetary File System (IPFS). Blockchain technology, implemented using Ethereum and Web3, ensures secure, immutable, and transparent transaction handling through smart contracts. IPFS is used for decentralized storage of medical files, with only cryptographic hashes stored on the blockchain to reduce storage overhead while maintaining data integrity. The system enables patients to book appointments, upload medical reports, and securely share them with doctors. Doctors can access records, provide diagnoses, and generate prescriptions, which are also stored via IPFS and linked to the blockchain. This ensures that data cannot be altered without detection, enhancing trust. The proposed system improves data security, privacy, reliability, and scalability in healthcare data management.
Abuzar Khan, Ahmad Junaid, Abid Iqbal, Ghassan Husnain
This study proposes a Federated Cloud Intelligence for Privacy-Preserving AI, with new layered framework that can support secure and eco friendly learning across different cloud providers. Instead of centralizing data, our method trains models locally on varied client datasets and combines their updates using federated learning (FL) to stay compliant with data protection rules. The experiment have shown that the federated setup reached an average accuracy of 0.844 over five communication rounds, just slightly lower than the centralized baseline of 0.850. Meanwhile, the loss decreased from 0.367 to 0.285, coming close to the centralized value of 0.318. To build trust, a blockchain-based layer that permanently stored updates with little extra cost, adding blocks each round with an average consensus delay of 0.189 seconds. Tests showed that this consensus process reduced the impact of malicious client attacks, keeping accuracy stable around 0.827. Further it is then incorporated with zero-knowledge proofs (ZKM), where adds only 0.196 seconds of latency and 260–360 MB GPU memory overhead and showcases an accuracy up to 0.844. A reinforcement learning agent optimized workload scheduling by shifting the computation from AWS to GCP, reducing carbon scores by 20% with minimal accuracy trade-off. Finally, explainability analysis revealed balanced provider contributions from 0.021 to 0.023 and highlighted key features such as logPurchases and storePurchases.
T.A. Krithika, Muniappan Muniappan M, Mayank Raj, Naveen T · 5 authors
Abstract—This paper defines the privacy focused alternative for popular cloud storage providers. It differentiates itself from conventional service providers by incorporating client side encryption and zero knowledge proofings. It proposes a secure, private and trust-less system for photo storage and sharing. Keywords—End-to-End Encryption(E2EE), Zero-Knowledge, Cloud Computing, Photo Storage, Cryptography, Key Management, Client-side Encryption
In decentralized finance (DeFi), accidental cryptocurrency transfers to incorrect wallet addresses are a large usability and security issue, frequently causing permanent loss of funds. We present CryptoSafeSend, a smart contract-based safety protocol for transactions featuring a cryptographically secure passcode verification scheme supporting conditional transfers. This work addresses higher-level security issues by introducing a PBKDF2-based key derivation function, which generates strong encryption keys based on Firebase's Firebase Unique Identifier. Secret passcodes are encrypted in Advanced Encryption Standard operating in Galois/Counter Mode functions deployed underneath the Web Crypto API, and the initialization vector and ciphertext are Base64 encoded for off-chain reliable storage and Firebase Firestore-based messaging. The protocol prevents unauthorized exploitation by safely binding off-chain passcode transmission to a matching on-chain verification, reinforcing user trust without undermining decentralization. Also, to ensure recoverability, CryptoSafeSend integrates a 7-day on-chain escrow lock, after which unclaimed funds become permissionlessly refundable to the sender, preserving decentralization while eliminating reliance on trusted intermediaries. Testing on an Ethereum testnet confirms negligible gas overhead, immunity against double claims, and strong security guarantees, qualifying CryptoSafeSend as a valuable constituent in next-generation secure digital asset protocols.
Muhammad Ahmad, Hua Zhou, Tanzeela bibi, Haider Ali
In today's digital environment, the swift advancement of interconnected technologies has raised significant worries about data safety, privacy, and reliability. The Internet of Things (IoT), networking systems, and cloud services produce and transfer large quantities of sensitive information, leaving them susceptible to cyber threats and other security risks. This research offers a detailed evaluation of how cryptography, network protection, and digital forensics work together, highlighting their combined impact on securing communication, safeguarding data integrity, and ensuring effective investigation methods. The approach to research relies on a thorough examination and combination of available literature, with a focus on major developments in cryptographic methods, network defense strategies, and forensic analysis frameworks. Particular focus is given to Homomorphic Encryption (HE), which allows processing to occur directly on encrypted information without the need for decryption, thus increasing privacy in unreliable settings such as cloud services and IoT environments. Moreover, the research includes new strategies in blockchain-centered forensics, featuring automated cost management that aligns with regulations, mapping wallet interactions, and utilizing non-fungible tokens (NFTs) as reliable audit references to enhance transparency and responsibility. The results show that cryptographic methods ensure safe data transfer, while network security strategies defend systems against unauthorized access, misuse, and cyber intrusions. At the same time, digital forensics offers a scientifically supported method for finding, preserving, and examining digital proof, tackling key evidentiary issues in today's cyber landscape. The integration of blockchain forensics and NFTs further boosts auditability, traceability, and trust, especially within decentralized finance (DeFi) setups and intricate digital transactions. In summary, the alignment of cryptography, network protection, and digital forensics creates a strong and forward-thinking security framework that improves data safety, helps with regulatory adherence, and enhances the overall durability of contemporary digital systems.
The rapid proliferation of cloud storage services necessitates robust mechanisms for verifying data integrity without requiring complete data retrieval. Traditional Provable Data Possession schemes face significant challenges in achieving simultaneous decentralization, privacy preservation, and efficient dynamic data handling. We present a novel framework that integrates blockchain technology with zero-knowledge cryptography to comprehensively address these limitations. Our approach employs Ethereum smart contracts for decentralized verification orchestration, Groth16 zk-SNARKs for privacy-preserving proof generation, and IPFS for distributed metadata management. The system architecture features a hierarchical Merkle tree authentication structure combined with BLS signature aggregation, achieving logarithmic verification complexity that is independent of the dataset size. By leveraging blockchain's immutable ledger properties, we eliminate single points of failure inherent in centralized third-party auditor models while ensuring complete audit trail transparency. The protocol supports dynamic data operations, including insertions, deletions, and modifications, through efficient cryptographic re-authentication mechanisms. We implement homomorphic encryption to enable verification on encrypted data, ensuring cloud providers never access plain-text information. Experimental evaluation on realistic datasets demonstrates a 43% reduction in computational overhead, a 67% decrease in communication costs, and 99.9% verification accuracy compared to existing approaches. When processing 10,000 data blocks totalling 1 GB, our system achieves a 2.3 -second average verification time with only 1.2% storage overhead. Formal security analysis proves correctness, soundness under computational hardness assumptions, and zero-knowledge privacy guarantees.
In the context of banking systems increasingly relying on cloud computing platforms, protecting sensitive data while maintaining processing performance is a major challenge. This paper presents and evaluates a cloud banking data processing model that integrates Homomorphic Encryption (HE), Zero-Knowledge Proof (ZKP), and the ORAM protocol to achieve a balance between security and performance. Experiments were conducted on a real Bank Marketing (UCI) dataset with 5000 records, using DSL query operations to calculate the average balance, count high-balance customers, total call duration, and savings deposit acceptance rate. The results show that the combination of HE, ZKP, and ORAM significantly improves security but increases computational cost; however, a suitable configuration can significantly reduce latency while still meeting security requirements. A detailed analysis of the security-performance trade-off provides an important empirical basis for implementing banking data security solutions in the cloud.
Federated unlearning enables clients to withdraw their contributions from a global model.However, enabling clients to verify whether the server has honestly and effectively removed their contributions remains a critical challenge. To address this aspect, which has been largely overlooked in existing literature, a verification model based on zero-knowledge proofs was constructed, and a comprehensive framework for verifiable federated unlearning was proposed. Combined with a dynamically updated Merkle tree structure, a novel verifiable federated unlearning scheme was presented characterized by its zero-knowledge property. This allows for the efficient generation of cryptographic proofs for server unlearning operations while rigorously protecting the data privacy of other clients. We evaluate the effectiveness and computational overhead of the proposed scheme. Comparative experiments with Rivest-Shamir-Adleman (RSA) accumulator-based and Hash chain-based schemes demonstrate that, when the model parameter size reaches the order of <inline-formula><alternatives><math xmlns:mml="http://www.w3.org/1998/Math/MathML" id="M2"><msup><mrow><mn mathvariant="normal">10</mn></mrow><mrow><mn mathvariant="normal">5</mn></mrow></msup></math><graphic specific-use="big" xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="alternativeImage/B6D6E598-14B1-468e-9A32-73199F9CD69E-M002.jpg"><?fx-imagestate width="4.23333359" height="2.53999996"?></graphic><graphic specific-use="small" xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="alternativeImage/B6D6E598-14B1-468e-9A32-73199F9CD69E-M002c.jpg"><?fx-imagestate width="4.23333359" height="2.53999996"?></graphic></alternatives></inline-formula>, the proposed scheme improves proof generation speed by approximately two orders of magnitude and verification speed by 13.2 times compared to the RSA-based scheme. Furthermore, it effectively avoids the scalability bottleneck of data linear growth in verification overhead inherent in Hash chain-based schemes.
Cloud storage systems have become an integral part of modern data management by enabling users to store and access data remotely.However, traditional cloud storage architectures rely on centralized servers, which introduce several critical challenges such as single-point failure, redundant data storage, increased storage costs, and security vulnerabilities.In earlier systems, data was stored in centralized data centers where duplicate files were repeatedly maintained, leading to inefficient utilization of storage resources.Although basic deduplication methods were implemented, they often compromised data confidentiality and lacked transparency in metadata management.Furthermore, failure of the central server could result in permanent data loss.To overcome these issues, this research proposes the Blockchain-enabled Heuristic Optimized Deduplication Model (BHODM), which integrates blockchain technology, InterPlanetary File System (IPFS), Convergent Encryption (CE), and heuristic-based chunking techniques.In this model, files are divided into optimized chunks based on file size using a heuristic approach.Each chunk is encrypted using CE, where the encryption key is derived from the hash of the data itself, allowing secure deduplication without exposing plaintext data.Duplicate chunks are identified through hash comparison, ensuring that only unique data is stored.The encrypted chunks are stored in IPFS, a decentralized peer-to-peer storage network, while metadata such as file names, block numbers, and hash values are securely maintained in an Ethereum blockchain smart contract, ensuring immutability and transparency.The system is implemented using Django, Web3, IPFS API, and AES-CTR encryption.Experimental results based on storage utilization and computation time demonstrate improved efficiency over traditional approaches.
Cross-domain data exchange is an important technical approach for realizing the value of data assets. However, lacking a single trusted root CA across domains, cross-domain schemes often encounter difficulties in authentication, controlled data flow, and fine-grained authorization. We propose a cross-domain data sharing scheme that uses decentralized identifiers and threshold proxy re-encryption. This scheme adopts the intra-domain leader node to verify the user identity, and the inter-domain multi-agent nodes collaborate in a threshold manner to handle cross-domain registration requests and re-encryption requests. Through threshold cooperation, the problem of single point of failure is effectively solved. The hash value of cross-domain registration information is stored on the blockchain, leveraging the immutable and traceable characteristics of blockchain to achieve trusted cross-domain data sharing. In addition, we introduce a ciphertext version tag to enable fast updates of re-encryption keys and use zero-knowledge proofs to verify re-encrypted ciphertext correctness. The security analysis indicates that our scheme has IND-CCA2 security under the DBDH assumption and can effectively resist collusion attacks. Performance analysis shows that our scheme is efficient, and can better meet the needs of cross-domain data sharing.
The exponential growth of digital data has intensified reliance on cloud storage, yet conventional centralized architectures remain persistently vulnerable to unauthorized access, data tampering, and privacy violations. This paper presents a novel blockchain-driven approach for decentralized cloud storage that addresses these concerns through a multi-layered security mechanism. The proposed system fragments a user’s file into multiple independent blocks, encrypts each block using the AES-256 algorithm with PBKDF2-derived keys, and distributes them across distinct nodes of the InterPlanetary File System (IPFS). The corresponding IPFS hash addresses are then recorded on an Ethereum-based blockchain through a Solidity smart contract, ensuring immutability and tamper-resistance of the entire storage index. During file retrieval, the system queries the blockchain to collect all block hash addresses, fetches encrypted blocks from IPFS, reassembles them in the correct sequence, and delivers the decrypted output to the user. The implementation is built using Python, Django, Web3.py, and the Truffle/Ganache development environment, and has been functionally verified across all core user-facing modules.
To address the security risks in sharing medical imaging data and the challenges of insufficient data interoperability between heterogeneous systems, and to achieve secure sharing of medical information across institutions, this paper proposes a secure encryption scheme based on the characteristics of medical images, and uses cloud storage and smart contracts to build a secure framework for cross-institutional information sharing. First, in response to the regional characteristics and uneven information distribution of medical images, an innovative two-stage encryption scheme of “partitioning, diffusion, and coupled scrambling” is proposed. The first stage applies information entropy equalisation processing to non-ROI regions, enhancing their information effectiveness and generating dynamic parameters. The second stage utilises the cross-region coupling dynamic parameters generated in the first stage to optimise the encryption results within ROI regions. Finally, a key driven scrambling factor is employed to complete the global pixel position reconstruction, achieving high-security encryption. Each medical institution encrypts medical images and uploads them to unified cloud storage, along with binary thumbnails generated from the corresponding plaintext images. Simultaneously, essential metadata—including image hash values, ownership details, and access permission policies—is stored on the blockchain. After an authorized user selects the desired data by browsing cloud thumbnails, a smart contract automatically executes the transaction, completing on-chain permission verification, data traceability, and access authentication, thereby coordinating the user's secure access to the corresponding encrypted image data off-chain. Eight experiments have demonstrated the security of the encryption scheme and the proposed sharing framework.
Cloud storage systems have become an essential component of modern data management, enabling users to store and access data remotely. However, traditional cloud storage architectures rely on centralized servers, which introduce critical challenges such as single-point failure, redundant data storage, high storage costs, and security vulnerabilities. In earlier systems, data was stored in centralized data centers where duplicate files were often saved multiple times, leading to inefficient utilization of storage resources. Although basic deduplication techniques were used, they frequently compromised data confidentiality and lacked transparency in metadata management. Moreover, failure of the central server could result in permanent data loss. To overcome these limitations, this research system integrates blockchain technology, InterPlanetary File System (IPFS), Convergent Encryption (CE), and heuristic-based chunking techniques to create a secure and decentralized storage framework, hereafter named Blockchain-enabled Heuristic Optimized Deduplication Model (BHODM). In this system, files are divided into optimized chunks using a heuristic method based on file size. Each chunk undergoes CE, where the encryption key is derived from the hash of the data itself, enabling secure deduplication without exposing plaintext information. Duplicate chunks are identified using hash comparison, ensuring that only unique data is stored. The encrypted chunks are stored in IPFS, a decentralized peer-to-peer storage network that eliminates reliance on a single server. Metadata such as file names, block numbers, and hash values are securely stored in an Ethereum blockchain smart contract, ensuring immutability and transparency. The system is implemented using Django for the web application, Web3 for blockchain interaction, IPFS Application Program Interface (API) for distributed storage, and Advanced Encryption Standard in Counter Mode (AES-CTR) encryption for security. By combining decentralized storage, blockchainbased metadata management, and secure deduplication, the proposed model effectively reduces storage overhead, enhances data integrity, and mitigates single-point failures. The system is further evaluated using storage utilization and computation time analysis, demonstrating improved efficiency compared to traditional approaches
The rapid adoption of digital healthcare systems has significantly increased the use of Electronic Health Records (EHR), online appointment platforms, and digital prescription management. While these technologies enhance accessibility and operational efficiency, they also introduce critical challenges related to data confidentiality, secure authentication, record integrity, and protection against unauthorized access. Healthcare data contains highly sensitive personal and medical information, making security a primary concern. Ensuring secure communication and verified access between patients and doctors remains a major challenge in maintaining trust and privacy within digital healthcare environments. Many existing healthcare management systems rely on centralized storage models and basic authentication mechanisms, exposing them to risks such as data breaches, impersonation attacks, and unauthorized record modification. Although basic encryption mechanisms may be applied to protect stored data, key management and authentication processes often rely on standard approaches without decentralized verification or advanced cryptographic reinforcement. As a result, centralized architecture creates a single point of failure, increasing vulnerability to unauthorized access, data tampering, and weak identity verification. Limited transparency and auditability further restrict effective monitoring of data usage and system activities. To address these issues, the proposed system introduces Quantum Crypt (QC), a hybrid security approach that integrates blockchain technology with Post-Quantum Cryptography (PQC) concepts and advanced encryption mechanisms. Medical reports and prescriptions are secured using the Advanced Encryption Standard in Cipher Block Chaining mode (AES-CBC), with encryption keys generated through a quantum-inspired mechanism. Authentication is enhanced through a lattice-inspired model implemented via Qiskit-based quantum circuit simulation to ensure secure key validation between patients and doctors. Blockchain integration using Web3 and smart contracts ensures immutable storage of healthcare records, improving transparency, strengthening data integrity, and enabling controlled access within the digital healthcare ecosystem.
The rapid evolution of cloud computing has revolutionized digital data storage and sharing, enabling users to access information anytime and anywhere. Despite these advantages, cloud-based systems face major challenges related to data security, privacy protection, and trust management, particularly when handling sensitive user information. Conventional cloud storage solutions operate on centralized architectures, where a single cloud service provider manages and controls the stored data. This centralized model introduces significant risks, including single points of failure, unauthorized data access, data manipulation, and limited visibility into data-sharing activities. In many traditional systems, data protection mechanisms rely on basic encryption methods without strong auditing or verification features, leaving them vulnerable to insider attacks and external cyber threats. Furthermore, the absence of immutable transaction records and robust key management practices reduces accountability and weakens user confidence in cloud environments. To address these shortcomings, the proposed system presents a secure cloud data sharing framework that combines Elliptic Curve Cryptography (ECC) with blockchain technology. In this approach, user files are encrypted using ECC before being uploaded to the cloud, ensuring strong data confidentiality and protection against unauthorized access. Simultaneously, blockchain technology is employed to record file metadata and transaction details in a decentralized and tamper-resistant ledger, enabling transparent and verifiable audit trails. The decentralized architecture eliminates reliance on a single authority, enhances trust, and prevents unauthorized modification of stored records. Additionally, secure authentication and controlled access mechanisms further reinforce system security. By integrating advanced cryptographic encryption with decentralized verification, the proposed solution enhances data integrity, improves transparency, and establishes a reliable and accountable framework for secure cloud data sharing.
Abstract Non-Fungible Tokens (NFTs) are blockchain-based digital assets that provide verifiable proof of ownership and authenticity. Despite their rapid proliferation, NFT markets face ongoing challenges related to user trust, legal ambiguity, and sustainable technological integration. We offer a comprehensive hybrid review by combining bibliometric and systematic approaches of 190 peer-reviewed NFT-related articles published since 2022. Through structured keyword mining, abstract-level thematic classification, and co-occurrence network visualization, we trace the intellectual evolution of NFT research across disciplines and time. Our analysis spans 119 journals and identifies six major thematic clusters: User and Market Dynamics Legal and Ethical Considerations Blockchain and NFT Technology Applications and Use Cases Digital Transformation and Innovation and Challenges and Issues . Temporal keyword trends reveal a progression from foundational blockchain infrastructure to user adoption and experiential design, toward regulatory integration, metaverse ecosystems, and industry-specific deployments in the recent years. Network visualizations highlight converging interests in topics such as decentralized identity, interoperability, and sustainability. In addition to mapping existing knowledge, this review identifies critical research gaps in areas such as regulatory frameworks, long-term infrastructure design, socioeconomic inclusion, and trust verification mechanisms. These findings offer a forward-looking research agenda centered on standardization, interdisciplinary integration, and user-centric innovation, paving the way for a more resilient and inclusive NFT ecosystem.
The preservation of historical records is critical for maintaining cultural heritage and providing future generations with accurate historical insights. Traditional storage methods are vulnerable to tampering, loss, and unauthorized access, presenting challenges in safeguarding document authenticity. This paper proposes a hybrid blockchain-based document management system, utilizing Quorum as a private, permissioned blockchain for authorized modifications by trusted historians and institutions, and Ethereum as a public blockchain for immutable record verification. By integrating the InterPlanetary File System (IPFS) for decentralized storage and employing smart contracts to enforce access control, this system ensures secure modification and transparent public access for document verification. Can be developed in collaboration with entities such as the International Historical Research Consortium (IHRC) and the Indian Council of Historical Research, the proposed architecture facilitates a trustworthy digital archive that meets academic standards for historical document preservation.