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Rizqi, Pranata, Khairul, Umam
This material has been presented on 1st International Conference on Communication and Digital Multimedia ( ICCDM ) 2025, 19 November, 2025
Ziling Wu, Xiaohan Liu, Ruiting Zhang
No abstract is available for this record.
Seyed Ahmadreza Abtahi, Reza Abtahi, Bruno Rodrigues, B. Stiller
This demo paper presents DappTweet, a Web3 app that lets any blockchain address send posts and direct messages on Twitter/X via a MetaMask wallet using an addressproven posting workflow. A relay account publishes on the userâs behalf and embeds the senderâs address and the transaction hash for public verification. The prototype implements three flows: public post, private message, and verification.
Antonino Iaria, Mirko Zichichi, Vittorio Ghini, Stefano Ferretti
The inherent complexity of cryptographic addresses in Web3 ecosystems poses significant usability problems. Decentralized Domain Services attempt to solve this challenge yet, in the meantime, jeopardize usersâ pseudo-anonymity. This paper investigates the design and implementation of a decentralized naming system leveraging IOTAâs Move smart contract framework. We analyze the system architecture and provide a comparative evaluation against established domain name services such as ENS, SuiNS, SolanaNS, and Avvy, highlighting the unique advantages and limitations of our proposed solution. Moreover, we introduce a novel committee-bridge architecture managing off-chain hashed name storage, enabling selective disclosure of domain information while maintaining low computational overhead. We also present results from an evaluation that assesses the functioning and the performance of the system, which confirm the viability of the proposal.
Ji, Charles Cheng, Kong, Brandon
Mobile Web3 faces catastrophic retention (< 5%) yielding effective acquisition costs of \$500 - \$1,000 per retained user. Existing solutions force an impossible tradeoff: embedded wallets achieve moderate usability but suffer inherent click-jacking vulnerabilities; app wallets maintain security at the cost of 2 - 3% retention due to download friction and context-switching penalties. We present SecureSign, a PWA-based architecture that adapts desktop browser extension security to mobile via EIP-6963 provider sandboxing. SecureSign isolates dApp execution in iframes within a trusted parent application, achieving click-jacking immunity and transaction integrity while enabling native mobile capabilities (push notifications, home screen installation, zero context-switching). Our drop-in SDK requires no codebase changes for existing Web3 applications. Threat model analysis demonstrates immunity to click-jacking, overlay, and skimming attacks while maintaining wallet interoperability across dApps.
Stuti Pandey, Akhilendra Pratap Singh, Dharmender Singh Kushwaha, Ashish Pandey
Audio piracy detection is increasingly complex in decentralised distribution settings, where mainstream approaches fail to ensure robustness, verifiability, or computational efficiency. Conventional Digital Rights Management (DRM) systems mainly enforce licensed access, but once content is copied or redistributed outside their control they offer little protection. Classical fingerprinting approaches such as MFCC based hashes can detect near-exact duplicates, yet they often fail under signal edits like pitch shifting, time stretching or equalisation. Deep learning embeddings improve robustness but demand heavy computation and centralised resources, making them less suitable for edge or decentralised deployments. These limitations call for a solution that is both edit resilient and verifiable. We propose HashWave, a blockchain-integrated perceptual hashing framework that combines robust audio fingerprinting with tamper-proof verification. The system fuses MFCC, chroma and chroma CENS, CQT, spectral contrast, and lightweight tempo/energy cues, applying operation-aware weighting via [Formula: see text] and constrained DTW for time-scale edits. Evaluated across GTZAN, FMA-A Dataset for Music Analysis, and MUSAN (SLR17) with over twenty signal-processing transformations, HashWave achieves AUC 0.957 and TPR@1%FPR 0.952, outperforming MFCC-only baselines and approaching deep embeddings at lower CPU cost. The blockchain layer, built on Ethereum and IPFS, ensures decentralised hash storage, duplication control, and verifiable authorship with average upload and contract execution times of 0.017 s and 0.044 s. Together, these results establish HashWave as a practical, scalable, and secure framework for piracy detection across streaming, podcasting, and Web3 ecosystems.
Adrian Ho
Paradigm shifts in digital media, specifically the World Wide Web, directly influence paradigm shifts in brand models and the branding practices attached to them. This paper explains the transformation in brand models that is being driven by the move from Web 2.0 to web3 and the implications of the transition from a participatory Internet to an ownership Internet. The full implications are significant and still evolving, but one of the biggest challenges for brand owners and managers is the continued shift from centrally managed and owned brands to distributed collaboration, contribution and ownership for brands. This paper proposes that this may require moving from conceptualising brands as monolithic entities and instead viewing them as modular collections of attributes and assets that can operate and evolve independently yet are still able to resolve into a unified idea or set of ideas. Looking at emerging ideas in art and creativity, this paper presents a set of potential implications for the future of the brand. This article is also included in The Business & Management Collection which can be accessed at https://hstalks.com/business/
Sizheng Fan, Tian Min
Recent advances in large language models (LLMs) have enabled the emergence of intelligent agents capable of performing complex multi-step tasks across various domains. In parallel, the growth of Web3 has introduced a decentralized web infrastructure, yet remains largely inaccessible to non-technical users due to operational complexity, fragmented information, and security risks. In this article, we present Web3Agent , an AI agent system that integrates LLM-based interaction with blockchain environments to enable language-driven on-chain operations. Web3Agent automatically decomposes user instructions into structured workflows, dynamically queries blockchain data and APIs, and performs multi-step operations such as asset transfers, token swaps, and smart contract execution. Web3Agent incorporates real-time inspection, error handling, and interaction transparency across its operation log, and flow visualization components. We evaluate the system and perform ablation study with customized dataset in a simulated environment, demonstrating its feasibility in orchestrating complex Web3 tasks and highlighting implications for agent-based abstraction in decentralized systems.
Kairan Sun, Zhengzi Xu, Kaixuan Li, Lyuye Zhang · 7 authors
Web3 applications, particularly decentralized finance (DeFi) protocols, have grown rapidly with over $100 billion locked in smart contracts, attracting sophisticated attacks causing billions in losses. When attack occur, security analysts need to perform fault localization to identify vulnerable functions and understand attack vectors. This critical process currently requires an average of 16.7 analyst hours per incident due to complex blockchain execution models, rapidly evolving protocol interactions, and multi-contract attack patterns that exceed existing analytical capabilities. Despite its critical importance, blockchain fault localization has received limited attention due to fundamental challenges requiring semantic understanding of economic models and protocol-specific logic. Existing blockchain-specific tools target only single vulnerability types, while the only comprehensive solution, DAppFL, relies on machine learning model that may miss sophisticated exploits and lacks interpretability in results. Recent advances in large language models (LLMs) demonstrate remarkable code comprehension capabilities, but existing applications focus on proactive vulnerability detection with minimal exploration of post-incident fault localization.We present FaultSeeker, an LLM-empowered framework for blockchain transaction fault localization. Our two-stage architecture combines transaction-level forensics for strategic scoping with coordinated specialist agents for sustained reasoning. This design provides long-term memory management via orchestrator agents and specialized attention allocation through coordinated workers, enabling comprehensive analysis across complex multi-contract transactions without context loss. We evaluate Fault-Seeker on a compiled dataset of 115 real-world malicious transactions with expert-validated annotations spanning diverse attack patterns and complexity levels. Results demonstrate that FaultSeeker significantly outperforms existing approaches, including DAppFL and leading native LLMs (GPT-4o, Claude 3.7 Sonnet, DeepSeek R1), while maintaining practical efficiency (4.4- 8.6 minutes) and cost-effectiveness ($1.55-$4.53 per transaction).
Martin Monperrus
Web3 applications, built on blockchain technology, manage billions of dollars in digital assets through decentralized applications (dApps) and smart contracts. These systems rely on complex, software supply chains that introduce significant security vulnerabilities. This paper examines the software supply chain security challenges unique to the Web3 ecosystem, where traditional Web2 software supply chain problems intersect with the immutable and high-stakes nature of blockchain technology. We analyze the threat landscape and propose mitigation strategies to strengthen the security posture of Web3 systems.
Cheng Pan, C. ZHANG, F. Wang, Edith C.H. Ngai
With the rise of Web3, Non-Fungible Tokens (NFTs) have become a new class of digital assets, driving demand for large-scale NFT recommendation systems. Each NFT can be associated to a rich set of semantic, stylistic, and thematic labels, forming a highly complex label space. Similar to e-commerce platforms where detailed product labels enable personalized recommendations, such semantic dependencies between labels can potentially enhance NFT recommendation performance. Thus, NFT recommendation can be naturally formulated as an extreme multi-label (XML) classification problem. Many existing probabilistic label tree (PLT)-based approaches address XML problem by recursively partitioning the label space, which greatly alleviates the demands on expensive computer resources. Yet, the highly skewed distribution of labels in datasets in XML makes tail labels more challenging to predict than head labels. In this paper, Our preliminary analysis reveals that inherent label dependencies can be leveraged to improve tail label recommendations for NFTs. We propose ChainTail, a dependency-aware framework that enhances PLT-based NFT label partitioning and prediction re-scoring. It includes: (1) a Dependency-aware partition module that partitions highly dependent NFT labels into subsets. (2) a Dependency-aware ReScore module that re-ranks prediction scores of labels to eliminate the label-priors. Our experimental results show that ChainTail boosts tail label recommendation on widely used item recommendation datasets.
C. Sathiyamoorthy, Mohammad Musa Al-Momani, Suseendran Surendran, J Adilakshmi · 6 authors
The blockchain technology is now widely accepted as an innovation in various areas such as finance, healthcare, logistics, and supply chain domain. Nevertheless, the interconnection of diverse blockchains is still an existing problem, which contributes to the impedance of seamless data and asset exchange between multiple blockchains. This paper proposes a new paradigm of the Protection of Communication Between Chains by Intelligent Translation Protocols system using Artificial Intelligence to achieve secure, efficient and scalable cross-chain interaction. Utilizing smart translation algorithms based on machine learning the system adapts to the underlying consensus rules, data structures and messaging patterns on multiple blockchains without any security or data integrity implications. This approach focuses on adaptive learning for multiple evolving chain standards, real-time verification to stop forged translations, and smart routing to maximize cross-chain transaction paths. Experimental results confirm that the AI-based interoperability tier achieves lower latency, higher translation accuracy, and less computation costs than the bridge-based access layer. They also include secure communication and cryptographic protection for the data in transit inter chaining. The findings of this research further the technological frontier of blockchain interoperability, while also presenting a foundational solution for developing the next-generation of decentralized applications (dApps) that can run across multiple blockchains. We conclude that intelligence protocol translation is a promising approach to secure, scalable and robust integration of blockchains with the Web3.
Jiajie Shi, Yuyang Qin, Hengming Dai, Xiaoyi Fan · 5 authors
Airdrops are a widely used mechanism in Web3 ecosystems to incentivize early users by distributing governance tokens. However, these mechanisms are increasingly targeted by airdrop huntersâmalicious actors who exploit token distribution systems through address farming, automated scripts, and behavioral camouflage. While prior work such as ARTEMIS leverages multimodal features and local transaction patterns to detect such behavior, it lacks a global understanding of wallet influence in the transaction graph. In this paper, we propose an enhanced detection framework that augments the ARTEMIS by incorporating PageRank-based global centrality as an additional structural feature. This allows the model to better distinguish superficially active wallets from those with broader influence in the network. We evaluate our method on real-world Non-Fungible Token (NFT) data from the Blur marketplace and achieve state-of-the-art performance. Furthermore, a feature substitution experiment reveals that simple degree-based features alone can achieve near-perfect performance, even outperforming PageRank, suggesting that the labels are strongly coupled with topological properties. These findings highlight both the effectiveness of structural augmentation and the potential risks of shortcut learning in graph-based detection systems.
Salim Yousif Mustafa, Tavga Nasradin Rahman, Zana Abdulrahman Hakeem
The manuscript should contain an abstract. The abstract should be self-contained and citation-free and should not exceed 300 âwords. The abstract should state the purpose, approach, results, and conclusions of the paper. The author should assume that the reader has âsome knowledge of the subject but has not read the paper. Thus, the abstract should be intelligible and complete in itself (no numerical âreferences); it should not cite figures, tables, or sections of the paper. The abstract should be written using the third person instead of first per-âson.â This study examines the potential of Web3 technologies to enhance accounting transparency in government budgets through a survey of âacademics and professionals in Erbil, Kurdistan Region of Iraq. A structured questionnaire with 25 statements across five dimensions was âadministered to 55 respondents (74.55% academics in accounting/finance, 20% professionals from the Board of Supreme Audit) using a âfive-point Likert scale, with data analyzed via SPSS V.27.â âThe empirical results extensively validate Web3's application in enhancing governmental financial transparency. Although the theoretical âframework emphasized blockchain immutability as the foundation, statistical evidence revealed stronger endorsement for smart contracts ââ(mean = 4.167) and real-time access (mean = 4.06) compared to blockchain immutability (mean = 4.047). All hypotheses were validated at a p ââ< 0.000 significance level. Decentralized recordkeeping (mean = 4.12) and interoperability (mean = 4.116) also received strong support, âhighlighting the need for internal control and cross-government reconciliation.â âThe stronger support for smart contracts and real-time access reflects stakeholders' prioritization of practical, user-facing applications over âunderlying infrastructure. These tools offer immediate automation of budget controls, measurable cost savings, and direct citizen engage-âmentâaddressing urgent transparency challenges in the Kurdistan Region context more directly than blockchain's foundational security âfeatures.â âFrom an accounting perspective, Web3 supports fundamental financial reporting principles: blockchain immutability aligns with reliability âof accounting records; smart contracts function as programmed spending controls enhancing compliance and restricting unauthorized ex-âpenditures; real-time access corresponds to timeliness and disclosure principles, enabling continuous monitoring by citizens and oversight âagencies; while decentralization and interoperability strengthen internal control and promote consistency across governmental financial sys-âtems.â âWhile blockchain provides essential recordkeeping infrastructure for transparent records, stakeholder priorities emphasize automation, âaccessibility, and integration. These findings suggest governmental accounting reforms should prioritize smart contracts and real-time reporting systems as primary drivers of financial transparency, with blockchain serving as the supporting foundation. The study recommends âincremental adoption, development of real-time dashboards, integration with existing infrastructure, and establishment of supportive institutional frameworks.
Duc-Ly Vu, Thanh-Cong Nguyen, Minh-Khanh Vu, Ngoc-Thanh Nguyen · 5 authors
The increasingly sophisticated environment in which attackers operate makes software security an even greater challenge in open-source projects, where malicious packages are prevalent. Static analysis tools, such as Malcontent, are highly useful but are often incapable of dealing with obfuscated malware. Such situations lead to an unreasonably high rate of false positives. This paper highlights that dynamic analysis, rather than static analysis, provides greater insight but is also more resource-intensive for understanding software behaviour during execution. In this study, we enhance a dynamic analysis tool, package-analysis, to capture key runtime behaviours, including commands executed, files accessed, and network communications. This modification enables the use of container sandboxing technologies, such as gVisor, to analyse potentially malicious packages without significantly compromising the host system.
Jane Thomason
No abstract is available for this record.
Jane Thomason
No abstract is available for this record.
Jane Thomason
No abstract is available for this record.
Benson Okpara, Zia Ush Shamszaman, Shatha Ghareeb, Jamila Mustafina Kazan
This project develops a blockchain-based web application aimed at verifying pharmaceutical products, a critical step in combating counterfeit drugs. By leveraging Ethereum's Sepolia test network and the power of smart contracts, the system facilitates secure, transparent processes for registering, verifying, and tracking pharmaceutical items. The application combines a PHP-based backend with a JavaScript-powered frontend, seamlessly integrating tools like MetaMask for user authentication and Web3.js to enable blockchain communication. The study underscores the significant advantages blockchain offers over traditional verification methods, particularly in terms of data integrity, transparency, and security. As a result, it meets the CIA triad model's requirements for confidentiality and integrity in information security. The novel features of the project include the use of optimism roll-ups for scalability, two-factor authentication (2FA), and data encryption to address critical challenges often overlooked in similar proposals for blockchainbased authentication systems. The results of the project demonstrate a tangible improvement in supply chain transparency and fraud prevention within the pharmaceutical industry. This work lays a strong foundation for further exploration of decentralised applications, not only in pharmaceutical validation but also across other essential sectors.
A. Marques, Luiz Eduardo Terra de Faria, Diogo S. Mendonça
The exponential growth of the cryptoasset market and the advancement of decentralized technologies have challenged traditional models of tax collection. In particular, self-custody wallets, which allow users to maintain direct control over their digital assets without the mediation of financial institutions, pose significant obstacles to oversight and tax compliance. This paper proposes an approach for the automatic collection of taxes on foreign exchange operations with stablecoins, using smart contracts on decentralized exchanges (DEXs). Through the implementation of a Proof of Concept (PoC), based on the Split Payment logic, we demonstrate the technical feasibility of applying a tax rate, analogous to the IOF, directly during transactions carried out by self-custody wallets, without the need for prior user identification. Experimental results, validated on the Polygon mainnet, reinforce the potential of the proposed model as a practical solution aligned with the principles of Web3, contributing to the debate on automated tax compliance mechanisms in decentralized environments.
Marc Jansen, Christophe Verdot
This paper introduces a structured approach to improving decision making in Decentralized Autonomous Organizations (DAO) through the integration of the Question-Option-Criteria (QOC) model and AI agents. We outline a stepwise governance framework that evolves from human led evaluations to fully autonomous, AI-driven processes. By decomposing decisions into weighted, criterion based evaluations, the QOC model enhances transparency, fairness, and explainability in DAO voting. We demonstrate how large language models (LLMs) and stakeholder aligned AI agents can support or automate evaluations, while statistical safeguards help detect manipulation. The proposed framework lays the foundation for scalable and trustworthy governance in the Web3 ecosystem.
FabrĂcio Barbosa Viegas, Murilo Costa Salem, Tatiana Aires Tavares
Digital messaging plays a central role in modern society, but it is currently dominated by centralized platforms that compromise user privacy and control. This position paper argues that decentralized messaging systems, based on open protocols and free software, can serve as public communication infrastructure and exemplify Web3 as a digital common good. We discuss the limitations of current services (identity lock-in, user fragmentation, data exposure) and present decentralized approaches (peer-to-peer, federated, blockchain-based) according to recent literature. We relate these models to the concept of public digital infrastructure, essential communication systems managed in a non-exclusive manner, and the notions of digital commons. As illustrative cases, we cite open protocols like Matrix and Web3 initiatives that adopt blockchain-based identity (e.g., XMTP), showing that such systems exhibit the characteristics of common resources: public specification, collective governance, and open-source software.
Swati Kumari, Hridoy Sankar Dutta, Hitesh Tewari
Contemporary Online Social Networks (OSNs) present critical vulnerabilities in user authentication and data integrity protocols. Since the social network is a multi-user platform, it requires a well-performing authentication mechanism that works along with the blockchain to ensure secure transactions. The existing methodologies exhibit significant limitations, particularly susceptibility to quantum cryptanalysis and privacy vector compromises. This study proposes a novel blockchain-based framework for decentralized OSNs, implementing smart contracts and InterPlanetary File System (IPFS) protocols to establish a distributed authentication architecture that mitigates these vulnerabilities while maintaining computational efficiency. Initially, we propose a post-quantum digital signature followed by a blockchain system using the signatures. Unlike previous OSNs, our solution uses post-quantum approaches, making it secure against both classical and quantum attacks. To enhance the data authentication of social network users, this research leverages the post-quantum multimodal biometric-based approach, where an improved version of Crystals Dilithium 3 is utilized in place of ECDSA in the XRP Ledger (XRPL) blockchain. We have integrated different post-quantum algorithms with XRPL using the open quantum safe library (liboqs) and compared the results in terms of resource consumption. The research explores the advantages of the proposed approach, highlighting its potential to mitigate the shortcomings of conventional methods and ensure secure data transmission in the era of quantum computing.
Luiz Eduardo Folly de Campos, Reinaldo CĂ©zar de Morais Gomes
Trust on the internet is an essential pillar for online interactions, and blockchain technologies offer a new paradigm of trust based on data integrity and decentralization, enabling innovative solutions such as theWeb3 applications. This paper presents the experimental infrastructure for blockchain research and development currently being built within the ILIADA project at RNP, and its use for the development of new Web3 applications.