Blockchain Papers

Jakub Cwirlej

No abstract is available for this record.

Aaditya Chomal, Snehil Gamit, Sidharth Panda, Aqsa Rangrez · 6 authors

In the modern digital landscape, traditional cen- tralized storage models are increasingly vulnerable to security breaches, suffer from single points of failure, incur high main- tenance costs, and present scalability limitations. The Decen- tralized Storage System (DSS) is proposed as an alternative solution, utilizing distributed ledger technologies, peer-to-peer (P2P) networks, and advanced cryptographic mechanisms to establish a fault-tolerant, secure, and highly available data storage infrastructure. This paper presents the design and imple- mentation of a decentralized storage framework that integrates key blockchain concepts—such as immutability, transparency, and consensus validation—to enhance data integrity and security. The system enables users to store, retrieve, and share data in a fully decentralized manner while ensuring confidentiality through encryption. The work includes a comprehensive architectural and functional analysis of a full-stack, decentralized file storage platform built specifically on the Filecoin Protocol, leveraging the InterPlanetary File System (IPFS) for distributed content addressing and efficient data retrieval. The platform employs a hybrid architecture combining Web2 technologies—Next.js for the frontend, Node.js/Express for the backend, and MongoDB for centralized metadata management—with core Web3 protocols. The analysis confirms the project's success in creating a practical, non-custodial storage solution that abstracts the complexities of the decentralized web. However, a key architectural trade-off is identified: the system's reliance on provider-centric tooling (Boost CLI) and third-party Remote Procedure Call (RPC) endpoints (Glif API) simplifies development but introduces dependencies that compromise the ideal of full, end-to-end decentralization.

Ali Kassar, Tarek Barhoum

System based on blockchain technology and smart contracts. The system aims to address the growing problem of managing and transferring digital assets such as cryptocurrency wallets, domains, cloud storage, NFTs, and gaming assets after the owner’s death. The proposed solution introduces a Dead Man’s Switch mechanism, where users are required to perform periodic check-ins. In case of prolonged inactivity, the system automatically triggers a smart contract that securely transfers access to designated heirs. The system leverages blockchain technology to ensure transparency, immutability, and security, while decentralized storage (IPFS) is used to protect sensitive data through encryption. The platform integrates modern technologies including Ethereum, Solidity, Web3.js, and decentralized storage solutions to provide a fully automated, secure, and trustless inheritance process without relying on centralized authorities or complex legal procedures. This work was conducted at Arab International University (AIU), Syria. The official website of the university is: https://www.aiu.edu.sy

Asif Saeed, Marco Cipriani, Massimiliano Nibid

No abstract is available for this record.

Nuha Omran Abokhdair, Ali Alissawi Ahmed AlQudairi

Decentralized storage networks increasingly rely on blockchain-based verification to ensure data integrity without centralized control; however, proof-intensive workloads introduce significant latency and on-chain cost overhead. This paper presents a lifecycle-based comparative analysis of major zero-knowledge proof (ZKP) models used in decentralized storage, focusing on zk-SNARK frameworks and transparent zk-STARK constructions. A multi-layer evaluation framework is introduced, aligning performance analysis with the core stages of the proof lifecycle: generation, aggregation, and on-chain verification. Building on this analysis, the paper proposes a hybrid architecture that combines parallel STARK-based proof generation with recursive SNARK-based compression, reducing on-chain verification complexity to near-constant. A Filecoin-inspired case study, supported by a quasi-empirical performance model, demonstrates that the proposed hybrid approach significantly reduces verification latency and data overhead while mitigating the linear growth of verification costs. The results indicate that hybrid ZKP architectures offer a scalable and economically viable solution for decentralized storage systems and large-scale blockchain networks. Keywords: Zero-knowledge proofs, zk-SNARKs, zk-STARKs, recursive aggregation, decentralized storage, verifiable cryptography, scalability, gas cost.

Venkata Raghava Kurada, Pallav Kumar Baruah

No abstract is available for this record.

Umar Khalid

As the digital transformation accelerates, the security of cloud-based data storage and transmission has become a critical concern. Traditional cryptographic models often fail to ensure data integrity, privacy, and non-repudiation in distributed environments. This study proposes a blockchain-based security framework that integrates smart contracts, hash-based consensus, and distributed ledger technology (DLT) to enhance cloud data protection. The framework leverages immutable storage for audit trails, consensus validation for tamper detection, and homomorphic encryption for privacy-preserving computations. Experiments using Hyperledger Fabric and Ethereum private testbeds reveal that blockchain integration improves data integrity verification efficiency by 42% and reduces unauthorized modification risks by 35% compared to conventional systems. The findings underscore blockchain’s role as a cornerstone of trustworthy cloud architectures, ensuring both transparency and confidentiality in global digital ecosystems..

Steven Antwan

The fast digitalization of contemporary society has changed the data into a valuable resource, and it has been the key to the innovation in the financial sector, healthcare, politics, and industries, and it has also increased risks both in terms of misusing it, stealing it, and using it. Information security through maintaining confidentiality, integrity and availability of information has thus become a pre-requisite to trust in digital infrastructures. The present paper gives a detailed discussion of how cryptography, cybersecurity, and data privacy come into convergence and have a central role to play in protecting the digital ecosystems. Basic cryptographic primitives such as symmetric and asymmetric encryption, hash functions as well as digital signatures are discussed as the foundation of secure communication. With these, more complex privacy-sensitive technology like homomorphic encryption, zero-knowledge proofs, and differential privacy is discussed as technology that could offer the opportunity to perform safe computation and share data without jeopardizing the privacy of individuals.The paper also explores the disruptive potential of quantum computing, specifically how it can render the popular public-key systems insecure by figuring out ways to break them, e.g. the Shor algorithm, and assesses the new paradigm of post-quantum cryptography as a reaction to this existential risk. The examples are discussed within various fields such as secure communication schemes, data-at-rest security, cloud computing, and the Internet of things (IoT), e.g., in which cryptographic efficiency and versatility are most crucial. It is a synthesis of these factors that the paper highlights that cryptography is not only a technical protection but it is a cornerstone enabling resiliency, trust, and privacy-by-design in the digital era. This paper then ends with a discussion on the challenges that still need to be tackled, including scalability, usability and compliance with regulations, and how future research will be needed to define the future of secure and privacy-preserving technologies in the increasingly interconnected world.

Shaojie Geng, Jing Tu

Conventional educational accreditation systems face significant challenges, including issues of data integrity, procedural inefficiencies, and insufficient privacy protection. This study introduces a lifelong learning accreditation framework based on a Decentralized Autonomous Organization (DAO). Our approach leverages blockchain technology and smart contracts to create a decentralized and immutable credentialing infrastructure. Our work addresses critical vulnerabilities such as single-point-of-failure trust risks, inefficiencies in manual verification, and data privacy breaches. To counter these issues, we propose three key innovations: A hybrid IPFS-blockchain architecture for efficient and permanent data storage. A threshold signature scheme to enable multi-party governance and prevent centralized control. An NFT-based protocol for the automated issuance of credentials. The proposed framework provides a practical solution for enhancing transparency and security in lifelong learning. Future work will focus on improving the efficiency of the cryptographic mechanisms and enabling cross-chain interoperability.

U. A. Vishniakou, YiWei Xia

This article examines the integration of blockchain, distributed file system, and virtualization technologies (including Virtual SAN, VSAN) to improve data storage privacy and efficiency. The limitations of traditional centralized storage models are presented, such as vulnerability to tampering, limited flexibility in access control, difficulty in auditing, and low resource efficiency. A concept for an integrated data storage system based on blockchain smart contracts is proposed. This system incorporates data encryption, implementation of an access control strategy based on blockchain attributes, the use of virtualization optimized through VSAN, distributed key management, and privacy-enhancing technologies (zero-knowledge proof, trusted computing environment). The proposed architecture provides flexible access control, efficient data processing, and a high level of security in a public or private blockchain environment.

Liaqat Ali, Ahmad Alshamayleh, Amer Ibrahim, Syed Muqtar Ahmed

Cloud technologies have dramatically altered the data storage, access, and scalability landscape, but the resultant dependence on centralized systems creates immense challenges for security, privacy, and unauthorized access. This paper introduces a new framework for enabling information management in cloud environments using blockchain-enabled secure access control. By integrating distributed ledger technology and highly cryptographic access control methods, this framework will facilitate immutable record-keeping, real-time verification of access rights, and the ability to audit user activity. This framework will substantially reduce the risk of data breaches, insider threats, and unauthorized access through its transparency and overall operational reliance. The empirical evaluations confirm that blockchain-enabled access control provides an impressive level of security, while smoothing information management processes and establishing trust and resilience in cloud environments. The results will demonstrate that blockchain can disrupt cloud information management and provide a scalable, privacy-preserving solution for any enterprise or multi-tenant cloud application.

H. P. Yu, Yinglong Gao, Shen Su, Zhen Yang · 6 authors

Decentralized storage auditing approaches are designed to ensure data security in dishonest decentralized storage providers. However, the need for data updates introduces new challenges to the design of decentralized storage auditing approaches. Existing approaches can support dynamic auditing for updated files. Unfortunately, they can only deal with block-level updating, which is counter-intuitive and requires conversion from semantic changes to binary changes. Furthermore, existing dynamic auditing approaches require the recalculation of auxiliary auditing information (e.g., auditing authenticators) in data owners, which imposes unnecessary additional burdens on data owners, particularly those with constrained resources in decentralized storage environments. In this paper, we focus on image files and propose iAudit, an efficient pixel-level dynamic image auditing approach in decentralized storage. We first design a novel image authenticator with image pixels for efficient dynamic auditing, which combines convolution operations and polynomial commitment in authenticator construction. Additionally, we build an owner-free dynamic mechanism in dynamic decentralized storage auditing approach by utilizing zero-knowledge proof techniques. In this way, the dynamic operation overheads incurred by auditing can be completely eliminated from the data owners. A prototype of iAudit is implemented, and extensive experimental results demonstrate that iAudit outperforms state-of-the-art works, achieving over a 210× speedup for data owner in dynamic update phase.

R.I. Mordvinov

The article systematizes modern methods of zero-knowledge proof (ZKP). Classification features are considered: protocol interactivity, algebraic or stochastic basis, need for trusted setup, type of zero-knowledge, and proof model. Classical schemes (Fiat–Shamir, Schnorr, Blum), modern zk-SNARK and zk-STARK, as well as novel approaches – PLONK, Halo 2, Bulletproofs, lattice-based ZKPs, and machine learning proofs are described. A comparative analysis is conducted according to efficiency, proof size, generation and verification complexity. It is shown that SNARKs provide compactness but require a trusted setup, while STARKs are transparent and post-quantum secure but large. Open problems are highlighted: recursive proofs, standardization, metadata protection, and applications in machine learning. It is concluded that further research in this field is aimed at creating scalable, secure, and quantum-resistant protocols for digital technologies.

Sarvesh Sinha Rahul Kumar Gupta

Document verification in traditional systems suffers from centralized control, single points of failure, and lack of user sovereignty over personal credentials. This paper presents a novel decentralized document verification system based on Self-Sovereign Identity (SSI) principles, integrating IPFS for dis- tributed storage with smart contracts for immutable verification. Our three-tier architecture comprises users who maintain full control over their documents, verifiers who can authenticate document integrity through QR code scanning, and authori- ties who manage verifier permissions through blockchain-based access control. The system stores document content on IPFS while maintaining metadata and cryptographic hashes on-chain, ensuring both privacy and verifiability. Users upload documents to IPFS, generate QR codes containing document identifiers, and register hash values in smart contracts. Verifiers scan QR codes to retrieve documents and verify authenticity by comparing stored hashes with computed values through smart contract functions. Security analysis demonstrates resistance to tampering, unauthorized access, and single points of failure. Performance evaluation shows efficient gas usage, scalable verification times, and reduced storage costs compared to fully on-chain approaches. The system addresses critical limitations of existing identity management solutions by providing genuine user sovereignty, eliminating central authorities, and enabling privacy-preserving verification. This work contributes a practical SSI implementa- tion suitable for academic credentials, government documents, and enterprise certificate management, advancing the field of decentralized identity systems.

Medini Gupta, Sarvesh Tanwar, Ravindra Kumar Singh Rajput

Blockchain is the root behind rise of cryptocurrencies. Blockchain minimizes the dependency of intermediaries that are required to accomplish a transaction, thus moving towards a more simplified procedure with reduced price and increased speed. It acts as a distributed ledger where each and every transaction or procedure is auditable and verified in real time. Once the data is recorded on the ledger then it can’t be altered later on. Along with rapid digitalization, the rise of cyber vulnerabilities can adversely impact organizations, resulting in detrimental outcomes. Organizations must be prepared with an effective cyber strategy so that they don’t fall prey to cybersecurity breach. Blockchain’s unique features can be considered as defensive wall that promotes robust workflow within the organizations against cyber attackers. Decentralization and enhanced security of blockchain can evolve the area of cybersecurity. Scalability is a substantial problem in blockchain. With the increase in total number of records, the block size also expands, that leads to slower verification procedure. Flaws in digital signatures, weak or inaccurate keys and incompetent encryption strength can result in critical security concerns. Downsides of transparent ledger should be considered to gain wider acknowledgment. In this chapter we will go through introduction to blockchain and cybersecurity, literature work conducted by different researchers in this domain, comparative analysis of different blockchain solutions, blockchain cybersecurity concerns, real-world case studies of this area, prevention of security issues of blockchain and conclusion.

Tapan Kumar Jain

The security of a patient’s clinical records and their confidentiality is a crucial responsibility for any medical orga- nization seeking to operate optimally and protect the privacy of its patients. The loss of a patient’s clinical record in a data breach can have disastrous consequences. According to the 2022 Data Breaches Investigations Report by Verizon, human error contributed to 82% of data breaches. To address this issue, this research paper proposes a system that integrates user- side inspection software and blockchain technology to prevent data breaches by leveraging blockchain’s transparency and immutability. Our proposed system can prevent data breaches by protecting sensitive files from unauthorized access within the organization as well as outside the organization while also ensuring the secure transmission of cryptographically-secured files. The system utilizes a Proof of Stake (PoS) consensus algorithm to enhance security, scalability, and efficiency so that it can even be used by organizations without considerable computer architecture.

Dev Verma, Lokesh Thakare, Prathmesh Marathe, Anany Agrawal · 5 authors

The global insurance sector continues to be hampered by legacy systems characterized by operational inefficiencies, asymmetric information, and excessive administrative overhead. This paper presents ChainCare, a decentralized insurance platform designed to overcome these limitations by leveraging blockchain technology. Built on the Ethereum public blockchain, ChainCare employs smart contracts written in Solidity to automate insurance policy creation, claims processing, and settlements while ensuring transparency and auditability. The system integrates a React.js-based user interface with blockchain-backed transactions to deliver a secure and user-centric experience. By recording all operations on a distributed ledger, the platform minimizes fraudulent activities, reduces manual intervention, and accelerates claim resolution. Experimental validation of the prototype demonstrates that ChainCare significantly reduces administrative complexity and enhances trust through immutable, verifiable transactions. The proposed architecture establishes a practical framework for decentralized insurance, offering a scalable and transparent alternative to traditional systems.

Vinoth Punniyamoorthy, Ashok Gadi Parthi, Mayilsamy Palanigounder, Ravi Kiran Kodali · 6 authors

Distributed machine learning systems require strong privacy guarantees, verifiable compliance, and scalable deployment across heterogeneous and multi-cloud environments. This work introduces a cloud-native privacy-preserving architecture that integrates federated learning, differential privacy, zero-knowledge compliance proofs, and adaptive governance powered by reinforcement learning. The framework supports secure model training and inference without centralizing sensitive data, while enabling cryptographically verifiable policy enforcement across institutions and cloud platforms. A full prototype deployed across hybrid Kubernetes clusters demonstrates reduced membership-inference risk, consistent enforcement of formal privacy budgets, and stable model performance under differential privacy. Experimental evaluation across multi-institution workloads shows that the architecture maintains utility with minimal overhead while providing continuous, risk-aware governance. The proposed framework establishes a practical foundation for deploying trustworthy and compliant distributed machine learning systems at scale.

Himanshu Sharma

Cloud Computing (CC) is an excellent platform that is widely used to share information as well as services between various departments, customers, and other parties. However, during the transmission of sensitive data, effective security management is essential to ensure data privacy by avoiding unauthorised access. To address this, an efficient key agreement protocol, which is a combination of Elliptic Curve Cryptography with Zero Knowledge Proof (ECC-ZKP) model, is proposed to enhance security management in a cloud environment. The ECC-based encryption model provides equivalent security with much smaller key sizes compared to traditional cryptography approaches. Moreover, this lightweight model reduces computational load and speeds up operations in large-scale cloud environments. The integration of the ZKP model allows users to prove their identity and get access without disclosing any sensitive credentials, which leads to an increase the data confidentiality. Initially, the login and registration of users in the cloud is done by submitting all their details to the service provider. Then, a hash value and bound values are computed, and a secret key is generated by the service provider, which is sent to the client for accessing the data from the cloud. The experiment results of the proposed ECC-ZKP model achieved Makespan of 4.8 ms for 100 tasks, which is better than traditional key agreement models, such as ECC-based authenticated key agreement, respectively.

R Udayakumar, A Haja Alaudeen, Anjali Goswami, N Arvinth · 5 authors

Blockchain technologies incorporated with decentralized energy grids can offer new paradigms in energy management, distribution, and consumption. Trust building among participants in decentralized energy systems is a critical challenge in the absence of a central authority. Foremost, the self-executing, fully autonomous blockchain-based smart contracts and the decentralized automated systems enable real-time, secure, and transparent business transactions. This paper examines the domain of smart blockchain contracts in decentralized energy grids. Smart contracts facilitate self-enforcement, aiding trust-building. Invoice blockchain contracts enable automated energy exchange, thereby facilitating contract execution without third-party involvement. Trust-building, system decentralization, energy producers and consumers bypassing operators, and operational cost reduction for self-sustainability provide system autonomy. The paper also discusses self-governing blockchain contract systems engineering. In smart energy contracts, the paper outlines system challenges, which include load, interoperable infrastructure, and energy consumption. Empirical and case study research, which are the primary focus of the paper, present blockchain contracts for decentralized energy systems as a trust-management and transaction-integration technology.

Kadhim Abdulfadhil Gatea, Ehsan Shoja, Parviz Rashidi Khazaee, Hossein Nahid-Titkanlue

The digital transformation of education necessitates secure, private, and learner-centric methods for verifying academic credentials. Conventional verification processes expose sensitive personally identifiable information, creating privacy risks that conflict with data protection regulations like GDPR. Existing blockchain solutions for educational credential verification face persistent challenges including prohibitive transaction costs, privacy vulnerabilities, and inflexible verification models. This paper presents VeriZKP, a proof-of-concept architecture demonstrating gas-free credential verification on Ethereum using zero-knowledge proofs. The core innovation lies in separating on-chain trust anchoring from off-chain cryptographic computation, enabling a novel cost-elimination mechanism. The system leverages Ethereum’s view functions through pre-compiled verifier contracts to achieve zero gas consumption for verification operations while preserving privacy through selective disclosure mechanisms. Our prototype, evaluated on Ethereum Sepolia testnet, validates the fundamental feasibility of this approach. Results demonstrate complete elimination of verification costs, practical client-side proof generation times of 1.02-1.63 seconds on standard hardware, and support for multi-attribute credential verification. The architecture proves both economically viable and performant for blockchain-based identity systems.

Dinesh K, Uma Mahesh, T Naresh

Access to digital services requires entities, such as users or software services, to establish their identities before interacting with service providers. Conventional identity management systems typically maintain separate identity records for each application, often resulting in multiple accounts for the same entity within a single service provider. When identical personally identifiable information and attributes are reused across platforms, these fragmented records can be correlated, increasing the risk of identity exposure and privacy breaches. This work presents an entity-centric identity management model tailored for cloud environments, designed to enhance privacy and reduce unnecessary information disclosure. The proposed approach is founded on two core components. The first is anonymous identification, which enables entities to interact with cloud services based on predefined privacy preferences without revealing their true identities. The second component introduces active bundles, which encapsulate personally identifiable information, usage policies, and an embedded execution environment responsible for enforcing privacy constraints. These bundles autonomously apply protection mechanisms to safeguard sensitive data, even when deployed on untrusted platforms. The proposed model offers several advantages, including reduced dependence on external identity providers, controlled disclosure of identity attributes to service providers, and secure utilization of identity data in untrusted cloud environments. By integrating privacy-enhancing technologies such as zero-knowledge proofs, the framework provides a robust and flexible solution for privacy-aware identity management in modern cloud-based systems.

Sowmini Bandaru, Sheetal Anand Tigadikar, Chennaiah Madduri, K. Tara Shankar · 6 authors

The protection of sensitive assets through confidentiality, integrity, and accountability in distributed computing environments is one of the most important factors to consider because the threats to cloud infrastructures keep changing. To lessen these issues, the current work proposes a consensus based confidential data orchestration model (CD-COF) that employs demoralized trust enforcement and adapt meter of encryption that is used to bolster the safety of data. As in the suggested approach, every data item will be in a dynamic encryption cycle to integrate lattice-based post-quantum cryptography with the homomorphic encryption algorithm, allowing secure data storage and computation against aspiring cryptanalytic algorithms. The require cipher fragments or data is irreversibly encoded into a distributed registry replicated by cluster of validators in such a way that they result in tamper-proof inspection without revealing the data. To regulate access control, smart contracts authenticate zero-knowledge compliance proofs to ensure that a requester who wishes to gain access without supplying credentials does it. More importantly the ephemeral session tokens generated by verifiable random functions prevent attacks of re-play and collusion and a multi-dimensional trust scoring degree that a-dynamically reallocates access rights to the user, based on his or her usage habits. With the adaptive encryption and immutable anchoring implemented and verifiable access orchestration exploited, the new solution forms a robust and resilient security model in data protection of the decentralized domain of the cloud environment in the future. In it integrated domain of encoding, anchorage with ledgers and trust-based enforcement of access controls, the proposed CD-COF method has a total accuracy of 97 percent in protecting data at the cloud based.

Mingxuan Chen, Puhe Hao, Weizhi Meng, Yasen Aizezi · 5 authors

No abstract is available for this record.