This paper synthesizes the emerging field of blockchain and AI for securing intelligent networks by providing a comprehensive taxonomy, integration patterns, and an evaluation blueprint.

This paper proposes a decentralized, blockchain-based protocol using both public and private blockchains to enhance the cyber resilience and security of IoT data transfer for digital building twins an…

This paper proposes a self-adaptive block creation process for blockchain systems that automatically optimizes configurations to reduce transaction latency by predicting performance based on workload…

This paper analyzes the technical challenges of auditing novel cryptoassets and custody mechanisms by employing an autoethnographic framework derived from the author's multi-role professional experien…

The paper systematizes the interaction between autonomous AI agents and blockchain platforms using a bidirectional trust framework, identifying significant gaps in current standards and proposing a ta…

This survey analyzes various novel cross-chain interoperability protocols to provide a comprehensive framework for evaluating their performance and financial impact within the fragmented on-chain fina…

This paper analyzes 48 large, active DAOs on Ethereum and finds that common governance mechanisms like token registration, staking, and delegation systematically reinforce the centralization of voting…

The paper systematically analyzes 36 existing and proposed digital payment system designs to identify recurring patterns, technical trade-offs, and implementation challenges relevant for future Centra…

Obscura is a novel, decentralized privacy protocol for the Algorand blockchain that achieves transaction anonymity using LSAG ring signatures, overcoming the limitations of existing zk-SNARK-based met…

The paper introduces LOCARD, an agentic framework that models blockchain forensics as a sequential decision-making process, demonstrating its effectiveness in complex cross-chain transaction tracing.

This paper proposes a comprehensive framework utilizing AI and machine learning to enhance cybersecurity and mitigate fraud risks in the emerging field of cardless artificial intelligence banking.

The paper introduces Bitcoin Smart Accounts (BSA), a novel, trust-minimized protocol enabling native Bitcoin to participate in DeFi while maintaining self-custody of funds.

The paper introduces KindHML, an automated formal verification approach that uses Hennessy-Milner Logic and the Kind 2 model checker to verify complex temporal properties of smart contracts, detecting…

The paper proposes a new cryptographic bearer token design enabling fully offline e-cash withdrawals from ATMs, thereby removing the central bank as a critical dependency.

The paper introduces ClawCoin, a novel tokenized, compute-cost-indexed unit of account designed to solve the problem of non-transferable compute costs in decentralized AI agent economies.

The paper introduces Ark, a novel Bitcoin-compatible commit-chain that enables offchain transaction batching of virtual UTXOs (VTXOs) with a constant onchain footprint, solving scalability issues with…

This paper advances the lightweight blockchain verification protocol, FlyClient, by addressing technical challenges, introducing a new adversary model, and providing practical implementations and opti…

zk-X509 is a privacy-preserving identity system that uses zero-knowledge proofs to prove ownership of standard X.509 certificates on a public blockchain without revealing private keys or personal data…

The paper proposes BitSov, an eight-layer, Bitcoin-native architectural framework designed to build sovereign internet infrastructure by composing existing decentralized technologies.

The paper proposes a novel decentralized framework that uses blockchain and Multi-task Peer Prediction to incentivize and manage the computationally intensive process of Federated Learning.