With the rapid proliferation of artificial intelligence generated content (AIGC), non‑fungible tokens (NFTs), and blockchain‑based services, creative works are increasingly born digital and managed as intellectual property (IP) digital assets. However, the assetization of content has outpaced the maturity of the supporting legal, technical, and educational infrastructures. Content creators and learners face fragmented tools for creation, registration, traceability, and infringement detection, which leads to weak evidence chains and high transaction costs in rights protection. This paper proposes an integrated framework for intelligent generation and security protection of IP digital assets that tightly couples AIGC engines with multi‑modal watermarking, blockchain‑based registration, and privacy‑preserving analytics. On this basis, a teaching‑oriented implementation is designed and deployed in a university course on digital media and IP management. The system supports full‑lifecycle management of images, text, code, and multimedia works, enabling students to experience rights creation, proof‑of‑ownership, risk diagnosis, and evidence preservation in realistic project tasks. Experimental results on a mixed benchmark of 4,200 assets show that the proposed scheme improves watermark robustness by 7.5% on average and shortens rights registration latency by 68% compared with traditional workflows, while significantly enhancing students’ IP literacy and compliance intention. The study demonstrates that IP digital‑asset technology can be transformed from a purely legal or technical topic into an operational teaching infrastructure, supporting both innovation and compliance in the AIGC era.
Open access
Blockchain Technology Applications and Security
Digital Rights Management and Security
Physical Unclonable Functions (PUFs) and Hardware Security
Protocol-level validity mechanisms, such as validity rollups and STARK-based proving systems, improve blockchain scalability, but do not remove the cost of executing computation-intensive application logic inside smart contracts. At the application layer, a meaningful class of structured arithmetic workloads—including polynomial evaluations, cryptographic primitive computations, and signal-processing operations over finite fields—arises naturally in contract logic, yet remains subject to the on-chain fee model regardless of protocol-level optimizations. This paper investigates whether outsourcing such workloads and replacing direct execution with transparent on-chain verification can provide a practical cost advantage under realistic smart-contract fee models. We present a cross-platform implementation of GKR-based transparent on-chain verification for outsourced structured arithmetic circuits on the Ethereum Virtual Machine (Solidity) and Starknet (Cairo). GKR requires no trusted setup, which makes it particularly suitable for deployment in permissionless public blockchain environments where trust assumptions must be minimized. The design targets layered circuits with regular structure and incorporates implementation techniques that reduce verifier-side overhead and eliminate the linear input-handling bottleneck in naive deployments. These workloads can be represented as layered arithmetic circuits with regular wiring and logarithmic depth. Our evaluation shows that direct execution cost increases rapidly with input size, whereas GKR-based verification scales much more favorably. At size 4096, verification reduces execution cost by approximately 84% on the EVM and 91% on Starknet. These results identify outsourced execution with on-chain GKR verification as a practical design point for application-layer verifiable computation, especially in public blockchain environments where transparency and the absence of trusted setup are important.
Andreu Pere Isern-Deyà, M. Francisca Hinarejos, Josep Lluís Ferrer Gomila
Online transactions are becoming increasingly popular, and the purchase and delivery of digital assets is a prominent example. In these transactions, buyers are hesitant to pay for an asset until they receive it, whereas sellers are reluctant to send the asset until they are paid. Unfortunately, actual solutions do not always meet all the requirements to conduct a secure exchange, with fairness being one of the requirements that needs more attention. Historically, solutions to this problem have relied on trusted third parties (TTPs) serving as trusted intermediaries among participants, but the advent of blockchain has enabled the reduction or elimination of TTP involvement in many cases. In this paper, we present a fair blockchain-based solution that does not require any TTP for the secure delivery of digital assets, proving its technical feasibility and cost-effectiveness through assessments on blockchains based on the Ethereum Virtual Machine.
Damaris Jepkurui Kangogo, Bertalan Zoltán Péter, Attila Klenik, Imre Kocsis
<title>Abstract</title> Smart contracts in blockchains often implement critical functionality; consequently, their development time software fault detection, removal, and avoidance have been the target of intensive research. However, the applicability of runtime dependability mechanisms to smart contracts has not been explored systematically, mainly due to the transaction pricing models of public blockchains. In this paper, we propose a novel and practical runtime verification approach for Hyperledger Fabric, the leading cross-organizational blockchain platform, as an error detection facility for fault tolerance mechanisms; building on the proposition that, in contrast to the public setting, cross-organizational blockchains have ample computational headroom for their systematic use. We introduce a smart contract entity framework architecture with reusable domain models and encapsulated runtime verification. We describe Hypernate, our open-source implementation of the approach for Java smart contracts, which uses the Java Modelling Language for requirement specification and integrates the OpenJML verification tool. We demonstrate and evaluate the approach on a Fabric implementation of the TPC-C benchmark.
The growth of decentralized data ecosystems has increased the need for transparent and traceable contract agreements between organizations. Although the Eclipse Dataspace Components offer a flexible, open-source framework for sovereign data exchange, they present limitations in terms of end-to-end transparency and traceability of these agreements. This thesis explores how blockchain technologies, specifically smart contracts and tokenized assets, can enhance the Eclipse Dataspace Components to address these limitations. We introduce a model in which contract agreements are represented as non-fungible tokens. These tokens represent uniquely identifiable off-chain contracts whose state changes are immutably recorded on the blockchain. This allows for contract life-cycle monitoring and tamper-proof traceability across dataspace participants. The implementation includes a custom ERC-721 smart contract deployed on the Sepolia Testnet, as well as a decentralized application that connects its functionality to the Eclipse Dataspace Components. The evaluation is conducted using a Minimum Viable Dataspace hosted on two separate servers, representing one data provider and one data consumer. The evaluation demonstrates that agreements based on smart contracts significantly improve transparency and traceability while maintaining data sovereignty. Overall, the results show that blockchain-based contract agreements build trust without modifying the existing workflows of the Eclipse Dataspace Components. This provides a viable path toward the management of trustworthy and sovereign contracts in future dataspaces.
This paper introduces DNET (Dual Network Exchange Technology), an interface architecture that unifies Settlement, Exchange, and Record generation into a single transaction structure for digital payments. Modern payment systems often treat exchange and settlement as separate backend processes, leading to fragmented identifiers, inconsistent idempotency behavior, and operational divergence across implementations. DNET resolves these issues by binding Payment Intent, Exchange Decision, and Settlement Outcome under a single TxID, enabling atomic SER‑coupling across Web2 and Web3 environments. The architecture provides a protocol‑level foundation for multi‑asset payments, ensuring traceability, auditability, and interoperability while reducing operational complexity. This work positions DNET as an OS‑layer interface for value transfer, offering a structural standard for future financial infrastructure.
This paper presents the design, implementation, and evaluation of a decentralized system for issuing and verifying academic certificates based on blockchain technology. The proposed solution addresses common limitations of traditional certification models, such as susceptibility to forgery, reliance on centralized infrastructures, and inefficient verification processes. The system is built on the TRON blockchain and integrates smart contracts written in Solidity, a decentralized web application (dApp) for user interaction, and the InterPlanetary File System (IPFS) for decentralized storage of certificate metadata. The methodology comprised architectural design, smart contract development, and the implementation of a web-based interface, followed by functional, security, performance, and usability evaluations. Experimental results show that the system correctly supports certificate issuance and public verification, enforces access control, and resists common misuse scenarios. Performance analysis indicates low confirmation latency and negligible transaction costs, making the solution suitable for large-scale academic environments. Additionally, usability assessment using the System Usability Scale (SUS) resulted in a score of 76.67, indicating good user acceptance. Overall, the results demonstrate the technical feasibility and practical viability of the proposed approach, highlighting the TRON blockchain as an effective and cost-efficient infrastructure for decentralized academic certification systems.
Prof. Sampada S. Kapse, Nithin C, Nithin C, Pavan Adithya V · 5 authors
Abstract In recent years, the protection and management of Intellectual Property Rights (IPR) have become challenging due to the rapid growth of digital content, ownership disputes, and lack of transparency in traditional systems. Most existing IPR management frameworks rely on centralized authorities and manual verification processes, which are inefficient, time-consuming, and vulnerable to tampering. This paper introduces IPR Management Using Blockchain, a decentralized system designed to securely register and manage intellectual property assets. The system uses blockchain technology to ensure immutability, transparency, and tamper-proof ownership records. Smart contracts are employed to automate IP registration, ownership verification, licensing, and royalty distribution without third-party involvement. The proposed system enables creators to securely register digital assets and provides verifiable proof of ownership through cryptographic hashing and distributed ledgers. Experimental evaluation shows improved security, transparency, and efficiency compared to traditional IPR management approaches. The blockchain-based IPR system offers a scalable and reliable solution for modern digital rights protection. Keywords: Blockchain; Intellectual Property Rights; Smart Contracts; Digital Ownership; Decentralized Ledger chatbot
The rapid expansion of the Non-Fungible Token (NFT) market has underscored significant challenges in copyright protection and ownership authentication. While blockchain technology ensures the immutability and transparency of token transactions, the off-chain storage of metadata and original content remains a critical vulnerability, exposing NFTs to risks such as data loss, manipulation, and copyright disputes. In response to these challenges, this study proposes a blockchain-integrated watermarking framework that embeds resilient copyright information into digital assets via a general frequency-domain approach. The watermark is stored off-chain within the InterPlanetary File System (IPFS), while its associated Content Identifier (CID) is anchored in a smart contract, ensuring traceability of provenance and verification of authenticity. Comparative experiments with the Least Significant Bit (LSB) method demonstrate the superior robustness of the proposed frequency-domain technique against various attacks, including compression, noise, and image manipulation. The proposed framework significantly enhances copyright protection, facilitates transparent NFT provenance, and provides a scalable foundation for secure digital asset management within blockchain-based ecosystems.
Open access
Blockchain Technology Applications and Security
Advanced Steganography and Watermarking Techniques
The thesis deals with the development of a decentralized Ethereum-based application for purchasing, selling and playing music. The goal of the application is to demonstrate the use of a blockchain-based platform that can replace corporate intermediaries.
One of the main Web3 applications is Non-Fungible Tokens, blockchain-based certificates to keep track of the ownership of unique digital or physical assets. Nowadays, there is no standard method to evaluate an NFT, and only for a trait-based collection can we rely on the rarity score, which estimates the scarcity of the traits of the NFT. However, rarity is unsuitable for describing the price of a token in a volatile market, and it is not a good price indicator because a token’s price is strictly related to external unpredictable events and the interest people have in specific assets. In this paper, we propose an evaluation model called The Popularity Model , that aims to evaluate NFTs based on marketability The Popularity Model is based on a set of indices which define a dynamic, socioeconomic indicator, with an antifraud system. We formalised and compared our popularity model and the rarity score to show their differences. Finally, we propose two applicable use cases in which the popularity index can be applied. The experiments show and confirm the utility and efficacy of the proposed evaluation model.
Raghavan Sheeja, Sherwin Richard R., Shreenidhi Kovai Sivabalan, Srinivas Madhavan
<p>The generational improvement has significantly converted several industries, and the area of intellectual property rights (IPR) isn’t any exception. IPRs, being as important as they are, need to be securely managed in some way. Blockchain, with its decentralized and immutable nature, gives a promising answer for enhancing the management of intellectual property (IP). This paper explores the strategic integration of blockchain generation for the control of IPR. The proposed system consists of a complete system, from registration and validation to predictive evaluation and royalty distribution, all facilitated through clever contracts. The use of zero-knowledge proofs guarantees the safety and confidentiality of sensitive information. The paper discusses the advantages and future implications of implementing this type of device.</p>
In the case of upgrading smart contracts on blockchain systems, it is essential to consider the continuity of upgrades and subsequent maintenance. In practice, upgrade operations often introduce new vulnerabilities. Existing static analysis tools usually only scan a single version and are unable to capture the correlation between code changes and emerging risks. To address this, we propose an Upgradeable Smart Contract Security Analyzer, USCSA, which uses Abstract Syntax Tree (AST) difference analysis to assess risks associated with the upgrade process and utilizes large language models (LLMs) for assisted reasoning to achieve high-confidence vulnerability attribution. We collected and analyzed 3,546 cases of vulnerabilities in upgradeable contracts, covering common vulnerability categories such as reentrancy, access control flaws, and integer overflow. Experimental results show that USCSA achieves a precision of 92.26%, a recall of 89.67%, and an F1-score of 90.95% in detecting upgrade-induced vulnerabilities. As a result, USCSA provides a significant advantage to improve the security and integrity of upgradeable smart contracts, offering a novel and efficient solution for security auditing on blockchain applications.
With the rapid evolution of the Decentralized Web (DWeb), decentralized technologies have paved new avenues for Web3 applications and the authentication of digital assets. Among them, Non-Fungible Tokens (NFTs) have gained significant popularity due to their immutability and uniqueness, reshaping the landscape of artistic creation, marketing, and intellectual property protection. However, current blockchain-based NFT implementations still face core challenges within decentralized architecture: how to maintain decentralization while ensuring the visual uniqueness of digital assets and reducing storage costs. The rampant issue of duplication undermines the scarcity of digital art and erodes market confidence in copyright authenticity. Moreover, high gas fees and energy consumption further hinder the widespread adoption of NFTs, while reliance on external storage solutions like InterPlanetary File System (IPFS) introduces risks of data instability and loss. To address these challenges, this article presents the UniqueNFT framework, a novel architecture that deeply integrates blockchain oracles with decentralized storage verification mechanisms. The framework achieves three key technological breakthroughs: Using image inversion and generation techniques based on Encoder for Editing (E4E) and StyleGAN3, it extracts compact and expressive semantic features from NFT images, enabling efficient data compression and significantly reducing on-chain storage volume; The Crypto-Mask algorithm, by utilizing the hash value of blockchain user information (user-controlled SHA-256 digest of Ethereum address, user nickname, and registration time), ensures the visual uniqueness of NFTs; A smart contract extension compatible with the ERC721 standard, demonstrating UniqueNFT’s seamless integration within the blockchain ecosystem. By leveraging the technologies of the Decentralized Web, our framework represents an important step forward in enhancing the security and uniqueness of digital assets. It not only innovatively resolves the issues of NFT duplication and homogenization but also injects new vitality and long-term momentum into the creation of a trusted, sustainable blockchain-based digital asset ecosystem.
Michele Pasqua, Sofia Mari, Ferdinando Santoro, Mariano Ceccato
With Ethereum’s rise as the leading platform for decentralized applications, securing Ethereum smart contracts, very often having a financial impact, becomes paramount. Existing research lacks a comprehensive overview of Ethereum defects (and the terminology is often inconsistent), making it difficult for researchers, developers, and industry professionals to navigate this nowadays critical topic. This necessitates a unified source of information detailing defects affecting Ethereum and its smart contracts, along with their root causes, impact, and mitigation strategies. In this paper, we propose a knowledge base of defects , encompassing security vulnerabilities and code flaws found in the Ethereum blockchain and its smart contracts. We started by performing a systematic literature review to identify the currently known defects and then created a hierarchical tag system to classify them. This system was then used to build an ontology allowing users to easily search and learn about Ethereum defects. We also implemented EDOV, a tool to graphically navigate and explore the ontology, perform search queries, and visualize defect details, such as examples of defective/fixed code. As new defects may appear in the future, the ontology and the tool are built with extensibility in mind. We believe this research is a valuable contribution to helping developers and practitioners avoid common mistakes, improving the overall security and reliability of the Ethereum ecosystem.
This poster introduces HarvETHter, a smart contract decompiler for EVM-based platforms such as Ethereum, Binance, and Polygon. We present the corpus completeness hypothesis, which we investigate through HarvETHter. Relying on our hypothesis, HarvETHter sources knowledge of the Ethereum blockchain and leverages it to decompile smart contracts to Solidity source code.
The NFT ecosystem represents an interconnected, decentralized environment that encompasses the creation, distribution, and trading of Non-Fungible Tokens (NFTs), where key actors, such as marketplaces, sellers, and buyers, utilize smart contracts to facilitate secure, transparent, and trustless transactions. Scam tokens are deliberately created to mislead users and facilitate financial exploitation, posing significant risks in the NFT ecosystem. Prior work has explored the NFT ecosystem from various perspectives, including security challenges, actor behaviors, and risks from scams and wash trading, leaving a gap in understanding the semantics and interactions of smart contracts during transactions, and how the risks associated with scam tokens manifest in relation to the semantics and interactions of contracts. To bridge this gap, we conducted a large-scale empirical study on smart contract semantics and interactions in the NFT ecosystem, using a curated dataset of nearly 100 million transactions across 20 million blocks on Ethereum. We observe a limited semantic diversity among smart contracts in the NFT ecosystem, dominated by proxy, token, and DeFi contracts. Marketplace and proxy registry contracts are the most frequently involved in smart contract interactions during transactions, engaging with a broad spectrum of contracts in the ecosystem. Token contracts exhibit bytecode-level diversity, whereas scam tokens exhibit bytecode convergence. Certain interaction patterns between smart contracts are common to both risky and non-risky transactions, while others are predominantly associated with risky transactions. Based on our findings, we provide recommendations to mitigate risks in the blockchain ecosystem, and outline future research directions.
Abstract This research presents the Aegis Framework, a groundbreaking secure and upgradeable digital token contract system that fundamentally addresses cryptocurrency scam prevention through innovative smart contract architecture. The framework implements a novel timelock-protected proxy pattern that eliminates instant rug pull vulnerabilities while maintaining essential upgrade capabilities. Developed through systematic implementation of advanced smart contract patterns, the Aegis Framework comprises three core components: AegisToken (a secure, pausable ERC20 token with role-based access control), AegisProxy (an upgradeable proxy system using UUPS pattern), and AegisTimelock (a revolutionary mandatory delay mechanism for all upgrades). Technical validation confirms successful compilation of all contracts with AegisToken (2782 bytes, 17 functions), AegisProxy (1771 bytes, 8 functions), and AegisTimelock (680KB comprehensive security contract). The framework's security architecture prevents single-point-of-failure risks by separating roles (Owner, Minter, Pauser, Upgrader) and enforcing minimum delay periods (configurable from 1–7 days) for all contract upgrades. Implementation results demonstrate complete prevention of instant malicious upgrades, transparent upgrade processes with community notification periods, and emergency response capabilities through instant pausable mechanisms. Compared to existing solutions, the Aegis Framework introduces the first integrated timelock security system specifically designed for token contracts, addressing critical gaps identified in recent smart contract security literature. The complete system includes Python-based deployment tools, comprehensive validation scripts, and production-ready compiled contracts, establishing a new standard for secure token implementations in decentralized finance applications.
A presente dissertação propõe o desenvolvimento de uma plataforma designada SoundSlice, que visa automatizar a gestão de direitos de autor em conteúdos musicais reutilizados e na criação de mixes, através da integração de tecnologias blockchain e contratos inteligentes. O sistema permite o registo de obras originais, reutilizações parciais, a combinação de múltiplas faixas em novas composições (mixes) e a atribuição automática de compensações aos titulares de direitos, assegurando transparência e rastreabilidade em todo o processo. A solução combina uma infraestrutura centralizada, suportada por uma base de dados MongoDB e armazenamento de ficheiros GridFS, com uma camada descentralizada baseada em Ethereum, responsável pela execução dos contratos inteligentes que formalizam a partilha de royalties. A nível prático, foi implementado um frontend web que permite o upload, análise, reutilização e criação de mixes musicais, bem como um backend Node.js que gere a lógica de negócio e a comunicação com a blockchain. O desenvolvimento da plataforma baseou-se nos conceitos teóricos e modelos de integração propostos pelos padrões Smart Contracts for Media (SC4M) e Interactive Music Application Format (IMAF), os quais orientaram a estruturação de metadados, a modelação de contratos e o desenho da arquitetura da plataforma. Por fim, foram conduzidos testes funcionais, de desempenho e de usabilidade que demonstraram o correto funcionamento da plataforma, a eficiência na execução de transações e a aceitação positiva por parte dos utilizadores, validando a viabilidade e o contributo da abordagem proposta.
With the introduction of blockchain technology and the emergence of non-fungible tokens (NFTs), users can prove ownership of digital content by cryptographically tokenizing the content they create, and it becomes possible to trade digital content. As user-generated digital content is frequently traded online, many scholars have analyzed the factors of user transactions, but there is a limitation that they have not been able to analyze the direct relationship between the sentiments of users and price. Therefore, this study uses multi-layer perceptron so as to analyze the factors that affect the price of profile picture (PFP) NFTs by using not only collectable market indicators and technical indicators but also sentiment indicators. As a result, it was found that PFP NFTs are closely correlated with various indicators, and a model was developed to accurately predict the price fluctuations of PFP NFTs using these indicators. The empirical results demonstrate that the proposed MLP model achieved prediction accuracies of 81.49% for BAYC and 93.39% for Cryptopunks. Furthermore, stock indices were found to exert a positive influence on NFT prices, whereas increases in cryptocurrency values, interest rates, and discussion volume acted as negative determinants. By contrast, the interaction of positive and objective sentiment contributed positively to price formation.
The contemporary Internet, a cornerstone of modern society, is characterized by a high degree of centralization. This centralization concentrates data and power within a few large corporations, raising significant concerns regarding data privacy, censorship, single points of failure, and monopolistic control. The "Decentralized Internet," often associated with the Web3 paradigm, proposes a fundamental shift toward a more open, trustless, and user-centric network. This paper presents a comprehensive survey of the decentralized Internet, beginning with an exploration of its core principles—trustlessness, censorship resistance, and user-controlled data. We then examine the key enabling technologies that underpin the decentralized Internet, including distributed ledger technologies (DLT), peer-to-peer (P2P) data protocols such as the InterPlanetary File System (IPFS), and smart contracts. Finally, we discuss the significant open challenges and research questions that must be addressed, including scalability, usability, governance, and regulatory uncertainty. This paper aims to provide a structured overview for researchers, developers, and policymakers interested in the future of Internet architecture. Index Terms—Decentralized Internet, Web3, Blockchain, Peer-to-Peer (P2P), IPFS, Distributed Ledger Technology (DLT), Smart Contracts, Decentralized Applications (dApps), Scalability, Governance.
The rapid evolution of blockchain technology has revolutionized digital asset ownership through NonFungible Tokens (NFTs). NFTs enable creators to tokenize unique digital assets such as art, music, and collectibles, ensuring authenticity, transparency, and verifiable ownership. This research paper presents the design and development of a decentralized NFT Marketplace using Solidity Smart Contracts and Pinata IPFS (InterPlanetary File System) integration. The proposed system eliminates the need for intermediaries by leveraging blockchain-based automation, allowing creators to mint, list, and sell NFTs securely while maintaining full ownership control. The marketplace integrates MetaMask wallet authentication for secure transactions and employs Solidity smart contracts to handle NFT minting, transfer, and royalty distribution on the Ethereum blockchain. Additionally, Pinata IPFS provides decentralized storage for digital media and metadata, ensuring data permanence and tamper-proof accessibility. The system architecture combines transparency, security, and user-friendliness, empowering creators with fair compensation and buyers with verifiable proof of ownership. Experimental implementation results demonstrate that the proposed NFT Marketplace provides a reliable, transparent, and scalable environment for digital asset exchange. This study highlights the potential of decentralized systems in reshaping the digital economy and sets the foundation for future enhancements such as multi-chain support, AI-based recommendations, and mobile integration.
Chong Chen, Jiachi Chen, Lingfeng Bao, David F. Lo · 10 authors
Smart contract vulnerabilities, particularly improper Access Control that allows unauthorized execution of restricted functions, have caused billions of dollars in losses. GitHub hosts numerous smart contract repositories containing source code, documentation, and configuration files-these serve as intermediate development artifacts that must be compiled and packaged before deployment. Third-party developers often reference, reuse, or fork code from these repositories during custom development. However, if the referenced code contains vulnerabilities, it can introduce significant security risks. Existing tools for detecting smart contract vulnerabilities are limited in their ability to handle complex repositories, as they typically require the target contract to be compilable to generate an abstract representation for further analysis. This paper presents TRACE, a tool designed to secure non-compilable smart contract repositories against access control vulnerabilities. TRACE employs LLMs to locate sensitive functions involving critical operations (e.g., transfer) within the contract and subsequently completes function snippets into a fully compilable contract. TRACE constructs a function call graph from the abstract syntax tree (AST) of the completed contract. It uses the control flow graph (CFG) of each function as node information. The nodes of the sensitive functions are then analyzed to detect Access Control vulnerabilities. Experimental results demonstrate that TRACE outperforms state-of-the-art tools on an open-sourced CVE dataset, detecting 14 out of 15 CVEs. In addition, it achieves 89.2% precision on 5,000 recent on-chain contracts, far exceeding the best existing tool at 76.9%. On 83 real-world repositories, TRACE achieves 87.0% precision, significantly surpassing DeepSeek-R1's 14.3%.
In the digital era, managing royalties for creative works remains a major challenge. Existing systems are often outdated and lack the transparency and efficiency required to meet the growing demands of digital content distribution. This paper presents BlockRoyalty, an application based on blockchain and smart contract technologies, designed to modernize royalty management for digital books. The system automates the registration of authors, publishers and buyers. It manages book publication, applies dynamic pricing based on sales trends and ensures real-time royalty distribution. All transactions are securely and recorded in a verifiable manner on the blockchain, fostering trust among stakeholders.