Follow blockchain research across journals, conferences, and preprint repositories.
96,040 results · page 270 of 4,002
Joan Ferré-Queralt, Jordi Castellà‐Roca, Alexandre Viejo
No abstract is available for this record.
Mohammad Raeini
No abstract is available for this record.
Tyler Nicewarner, Ali Allami, Dan Lin
Ensuring efficient task assignment and secure payment in mobile crowdsensing while preserving worker location privacy remains a challenging problem. Existing solutions either rely on expensive encryption schemes, employ blockchain-based verification that incurs high computational and gas costs, or use differential privacy techniques that degrade spatial accuracy. This paper introduces the Privacy-preserving Task Assignment and Payment (PTAP) framework, a lightweight solution built upon secure multi-party computation (SMPC). PTAP employs additive secret sharing and a challenge-response mechanism across three semi-honest servers to achieve anonymous task allocation and payment without blockchain or zero-knowledge proofs. The framework guarantees full unlinkability between worker identities, task locations, and payment records while maintaining accurate location-based assignment and supporting traceability for dispute resolution. Experimental evaluation using the MP-SPDZ framework demonstrates scalability to over 1.5 million workers and 7 million payment tokens. The average end-to-end completion time is approximately 35.4 seconds, with zero gas cost. Compared to the state-of-the-art AVeCQ system [15], which requires about 13 minutes and 37 MWei per transaction on the Goerli network for only 1,024 users. The results confirm PTAP's efficiency, scalability, and strong privacy guarantees for large-scale mobile crowdsensing deployments.
Qiang Zhi, Yixin Liu, Xiaoting Hu, Yi Zhu
In highly dynamic and interference-prone environments, secure access to wireless communication spectrum and protection of user privacy present significant challenges. To address these issues, this paper proposes a novel framework called the Secure and Privacy-Enhanced Channel Transmission Architecture (SPECTRA). SPECTRA enables fine-grained access control policies defined by a trusted authority and enforces them through distributed Semi-Trusted Distributed Servers (STDSs) using Attribute-Based Encryption and Zero-Knowledge Proofs. This design allows for dynamic spectrum authorization without revealing the requester's sensitive attributes. Furthermore, the frequency-hopping process is modeled as a Markov Decision Process (MDP), and optimized through Proximal Policy Optimization (PPO) to adaptively enhance communication reliability and resistance to interference. SPECTRA also supports both secure replacement and secure incremental update mechanisms, incorporating hash aggregation and elliptic curve signature-based batch verification to improve the efficiency and security of multi-request authentication. Extensive simulations demonstrate that SPECTRA achieves high-accuracy access control, effective communication privacy preservation, and stable frequency-hopping performance under adversarial and uncertain conditions.
Mohamed Amine Issami
No abstract is available for this record.
Emmanuel Gobet, Louis Latournerie
Decentralized Finance (DeFi) lending and borrowing protocols enable investors to take leveraged long and short positions on digital assets without centralized intermediaries, but expose them to a distinctive form of risk: on-chain liquidation triggered by debt and collateral value fluctuations. In this work, we provide a detailed formalization of Aave's lending, borrowing, and liquidation mechanisms, grounded in the protocol's open-source implementation. In doing so, we propose a mathematical modeling of the risk of liquidation, including some stochastic approximations with the purpose of efficient analysis, with different applications. Among them, portfolio optimization problem.
uthman Kamorudeen
This whitepaper introduces a new scientific framework for risk analysis in decentralized finance (DeFi) and cryptocurrency systems through the integration of artificial intelligence and robotic technologies. The research proposes an autonomous risk intelligence architecture that combines machine learning prediction models with robotic execution agents for real-time monitoring and mitigation of systemic financial risks. Key risk domains including market volatility, smart contract vulnerabilities, liquidity instability, oracle manipulation, governance threats, and regulatory uncertainty are formally classified and mapped to AI-driven detection and response mechanisms. The paper further introduces the Autonomous Risk Response Protocol (ARRP), a novel model for automated intervention using smart contracts, positioning AI-driven robotics as a foundational layer for next-generation decentralized financial security infrastructure.
Amelia Lo, Clarie Ku
No abstract is available for this record.
Archana Parashar, Tanvi Gupta
No abstract is available for this record.
Sam Warner-Baker
No abstract is available for this record.
Steven Paul Nohr
<b><i>Bribe-Based Oracle Echoes</i></b> describe a class of incentive-layer attacks in which economically rational adversaries influence oracle participants to repeatedly reinforce distorted data outputs without directly compromising oracle infrastructure. Unlike overt oracle manipulation, these attacks exploit incentive alignment and tolerance-band logic to create feedback loops in which biased signals are echoed, amplified, and normalized across decentralized finance (DeFi) and stablecoin systems. This paper formalizes the threat model, identifies structural enablers, and demonstrates why decentralization alone is insufficient to prevent economically induced oracle drift.
Jian Zheng, Xiaofei Luo, Enyuan Zhou, Bin Xiao
No abstract is available for this record.
Derek Maurice
No abstract is available for this record.
Theocharis Grigoriadis
Why does industrialization in some cases generate social consolidation and in other cases political conflict? This paper argues that the answer depends on how industrial finance is allocated. I develop a dynamic political-economy model in which the government channels external liquidity into industry under either centralized or decentralized finance. Under decentralization, adverse shocks harden budget constraints and permit replacement of inefficient incumbents by new entrepreneurs. Under centralization, by contrast, the government is more likely to refinance inefficient incumbents, soften budget constraints, and block entry. Industrialization then generates concentrated rents and a higher risk of conflict. I interpret late imperial Russia as a historically revealing case of this mechanism. Rather than treating Russia as the sole object of interest, the paper uses it to motivate a general theory of industrialization under monopoly.
Mariam H.Eram
No abstract is available for this record.
Amit Kumar Jaiswal
No abstract is available for this record.
Esmot Ara Tuli, Mohtasin Golam, Dong-Seong Kim
No abstract is available for this record.
Ambati Satya Sai Vaishnavi, M. Veera kumari, K. Akash Sai, G. Pavan Kiran · 7 authors
Peer-to-peer (P2P) energy trading has emerged as an innovative solution to modern energy challenges by enabling decentralized electricity exchange among users. The Small-scale market allows prosumers to sell excess energy directly to consumers without relying on centralized authorities. Blockchain ensures transparency, security, and immutability of transactions, while smart contracts automate trading operations based on predefined conditions. A MATLAB-based simulation environment is developed to model energy generation, consumption, and transaction processes, along with a digital ledger for recording trades. The results of different case studies demonstrate efficient energy utilization, reduced transaction costs, and improved reliability. The system promotes renewable energy adoption and supports the transition toward decentralized smart grids. This work highlights the feasibility of integrating blockchain technology with energy systems for sustainable and scalable power trading solutions.
Aqeel Ahmed, Kamran Taj, Farhan Hyder
This study introduces a blockchain-based system for digital identification and verification of educational documents in Pakistan. The solution tackles ongoing issues like document fraud, slow manual verification, lack of transparency, and poor interoperability among institutions. The system uses the Ethereum blockchain for smart contracts as well as IPFS for decentralized storage to provide secure, tamper-proof, and highly efficient access to academic records. A prototype with a simple web interface that was user-friendly was designed for students, institutions, and recruiters. The questionnaire USE was used to assess usability and 204 respondents claimed to have high satisfaction with ease of use, learnability, usefulness, and overall experience. The system not only saves the organizations of the administrative overhead but also inspires stakeholders to trust digital means and at the same time, the paperless process of environmental exposure ultimately leads to sustainability. By making use of the most up-to-date technology, it deals with historic issues in the educational systems. The findings of the study underscore the potential of the blockchain in the transformation of educational document verification in least developed areas whereby global academic ecosystems can scale up become transparent, affordable, and reliable.
Brooks Mcadam
ii ABSTRACT Survival in the Stigmatized Industry (Bitcoin ATM) Brooks McAdam This paper examines how companies can survive in a stigmatized industry where the same message may attract customers while simultaneously generating skepticism. The study posed the following research question using the Bitcoin ATM industry as the context: Does the message presented on company websites influence the degree of exit risk in a market characterized by moral concerns, exposure to fraud, and unstable regulation? The answer is clear. Messaging is important; however, not every message is equally important. Fee-related messaging emerged as the most consistent predictor of exit risk. Messaging emphasizing ease of use showed a recurring but less consistent association with elevated exit risk, while security messaging demonstrated only limited evidence of a protective effect among the 71 operators analyzed. The message about freedom or privacy did not have a significant impact. These findings change the agenda of the survival research not only to the broad characteristics of firms but also to the assertions that firms wish to make publicly.
Joshua S. Gans, Scott Duke Kominers
No abstract is available for this record.
Matúš Maďar
Discreet Log Contracts (DLCs) enable conditional Bitcoin payments using external oracles, but their efficiency depends on cryptography, system design, and oracle interac- tion. This thesis introduces a lightweight, modular Rust framework for prototyping and benchmarking DLC components, with parsing, computation, storage, and oracle inter- faces separated. We implement optimizations for anticipation point computation, parallel processing, and Schnorr adaptor signatures, while outlining theoretical improvements. In collaboration with the community, we integrate a performant Schnorr adaptor and pro- vide, to our knowledge, the first direct comparison of Schnorr- and ECDSA-based adaptor signatures. Benchmarks show Schnorr pre-signing up to five times faster than ECDSA, with further gains from parallelism and basis optimization, demonstrating how careful design improves the practicality of DLCs for advanced Bitcoin contracts.
Evan Foster
No abstract is available for this record.
Dipabali Nath, Rajat Rajoria, Nidhi Shah, Dibyabrata Panja · 6 authors
No abstract is available for this record.