TL;DR
This paper formalizes the property of integrity completeness against such an adversary and compares three trust models under this threat: symmetric hashing with HMAC chains, per-record ECDSA signatures, and blockchain with application-level Merkle trees.
It is proved that on-chain hashes form a conflict-complete proxy for private state—optimistic concurrency control (OCC) based serializability checks on hashed state detect exactly the same conflicts as checks on the underlying data, enabling the entire network to verify private transactions without accessing private da...
This study examines the technological, financial, and regulatory obstacles of blockchain-based food traceability and proposes a new architecture called the Dynamic Trust-Weighted Oracle Consensus (DTW-OC) framework, which introduces a reputation-weighted, cross-validated oracle layer that scores every IoT sensor and hu...
Existing blockchain credential systems still face two coupled problems: transparent on-chain data may disclose holder privacy, while immutable records make invalid credentials difficult to revoke. This paper implements a privacy-preserving revocable credential system in an EVM-compatible simulated blockchain environmen...
A privacy-preserving blockchain-based traceability framework that integrates the InterPlanetary File System (IPFS) with Zero-Knowledge Proofs (ZKPs) for immutable record-keeping, while zk-SNARK-based proofs enable compliance verification without revealing sensitive underlying data is proposed.
Data integrity in multi-stage government licensing services is a critical challenge, particularly when each stage involves different actors with distinct authority. Without a permanent recording mechanism for every action in the workflow, licensing data remains vulnerable to manipulation. This study develops a web-base...
\RC, a participant trust framework that uses blockchain as an evidence and provenance layer rather than as the source of trust, and supports a bounded reduction in reputation distortion, not attacker detection.
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