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Blockchains

Blockchains is an international, peer-reviewed, open access journal on blockchain and its applications published quarterly online by MDPI.
  • Open Access— free for readers, with article processing charges (APC) paid by authors or their institutions.
  • Rapid Publication: manuscripts are peer-reviewed and a first decision is provided to authors approximately 23.8 days after submission; acceptance to publication is undertaken in 5.7 days (median values for papers published in this journal in the first half of 2026).
  • Recognition of Reviewers: Reviewers whose reports are timely and of high quality receive an APC discount voucher for a future publication in an MDPI journal. Become a reviewer.

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All Articles (66)

  • Review
  • Open Access

Blockchain and machine learning (ML) are combined in systems that must learn from multi-party data and keep a verifiable record of what was used and decided. This scoping-style review of a ranked sample covers seven domains: healthcare, finance, supply chain, energy, smart contracts, transportation and education. We searched Scopus and IEEE Xplore on 15 October 2026, ranked 5195 candidate records, read 345 abstracts in rank order, coded a core corpus of 192 studies and read 38 in full. Federated learning is the most common method (93 of 192 core studies name it), and detection of fraud, intrusions and vulnerabilities is the most common task among the 38. None of the 38 reports a deployment, 24 report a measured ledger figure and two measure ledger energy. Ten use more than one privacy mechanism, and only two report accuracy with and without it. Attack tests are small, and one study tests a Sybil attacker. Studies differ too much to compare, so we do not rank domains. A ledger shows that a record has not changed, not that it was correct when written. The main gaps are realistic evaluation, shared benchmarks and reporting standards, and tested explanations for decisions made inside contracts.

Blockchains

5 November 2026

Flow diagram of the search and selection process, adapted from PRISMA 2020 [18]. Blue boxes show screening stages; pink boxes indicate exclusions; gray boxes show records not screened or retained; and green boxes represent included studies. Colored sidebars identify the review phases. Downward arrows show progression, while rightward arrows indicate records removed or set aside. The core corpus comprises 192 studies, with 38 full texts examined (36 core and 2 additional studies).
  • Article
  • Open Access

Document validation and authenticity remain critical challenges due to the risk of fraud and the need for secure and trustworthy processes. This paper presents RadChain, a system that links physical documents to a blockchain record through radio-frequency tags. The proof of concept implements the Near-Field Communication (NFC) pathway; other Radio-Frequency Identification (RFID) tags that can provide the same URL or hash are supported by design but were not tested. RadChain places a lightweight edge service close to the user, with the intended benefit of reducing latency and load on the blockchain node, and uses Alastria, a hybrid public–private blockchain platform, to balance security, privacy and transparency. Each physical document carries an NFC tag storing a URL that embeds the SHA-256 hash of the document, which can be certified, signed and queried against a smart contract through a decentralized application. A successful verification shows that the hash was registered, and by which accounts and when; whether those accounts are trusted is decided by an explicit on-chain authorization registry plus the verifier’s policy, and the check relies on the assumption that the tag is securely bound to the physical document, since retrieving a registered hash does not verify the current printed content. A functional evaluation on the Alastria network covers valid, modified, unregistered and duplicate-operation cases and reports preliminary measurements of the edge service on a Raspberry Pi 4 and a Raspberry Pi 5 (a registered-hash verification takes a median of 28 and 14.5 ms, respectively, measured on the device with a localhost client and therefore excluding the smartphone-to-device hop) and of the blockchain operations. The results show that combining NFC tags with blockchain provides a practical mechanism to trace documents and check the registration of their hash, which may help reduce document fraud in sectors that demand high levels of security, such as the legal system.

Blockchains

2 November 2026

RadChain architecture.
  • Article
  • Open Access

A common worry about depeg predictors is that an adversary who manipulates oracle prices can blind them. We test it on a new multi-source corpus of twelve historical stress episodes across nine assets and three chains. Under retrospective leave-one-event-out testing, the reconstructed models span 0.558–0.772 ROC-AUC, with our reference predictor at 0.762; the source papers report different metrics and tasks that are not directly comparable. Manipulable price features hurt out-of-event generalization: on the seven-episode live-feed subgroup, retained features reach 0.75 AUC versus 0.72 for the full model, directional, not significant at seven events. We define the Oracle Manipulation Index (OMI), prove that shifting the aggregate by δ while one honest feed survives forces the unnormalized cross-feed price range to be at least δ/L for L-Lipschitz aggregators, and measure on a Foundry mainnet fork (Curve 3pool, block 25,238,878) that a 0.1% move requires about USD 50 M in deployed capital. Excluding individually affordable channels gives a sufficient input-invariance rule under fixed channel costs; the robust subset matches clean accuracy and degrades less under tested synthetic attacks in point estimate (directional, not significant at seven events). OMI’s empirical lift is modest and regime-dependent (pooled 0.0037, not significant; it helps off-chain and multi-venue settings, not single-venue on-chain ones), and precision is low (about 33 false-positive windows per true-positive window at 10% recall). Within this early-warning setting, oracle manipulation is a weak evasion vector because the tested subset is empirically less sensitive to the evaluated perturbations.

Blockchains

25 October 2026

Foundry-measured cost of suppressing USDC on Curve 3pool. The feasible region (green) covers moves up to ∼
  
    0.1
    %
  
 for approximately USD 50 M; beyond that, costs rise sharply and the pool exhausts (the next sampled point at USD 200 M is already 99.99% drained).
  • Article
  • Open Access

Double counting in supply-chain carbon accounting can arise when an emission-related claim remains usable after splitting or integration. Existing systems can strengthen traceability, evidence integrity, or ex-post auditing without defining whether a consumed claim remains valid for reuse. We model this gap as a lifecycle-state consistency problem and present a three-tier framework compatible with Ethereum Request for Comments 1155 (ERC-1155), with three non-fungible token (NFT) lifecycle roles: parent NFT (P-NFT), child NFT (C-NFT), and integrated NFT (I-NFT). The execution-time control layer enforces quantity conservation, immediate parent retirement, and complete-set same-transaction consumption, rejecting violations before state commitment. I-NFT verification binds each integrated claim to its consumed input set through a compact header and issuance-transaction events. Functional validation shows that quantity inflation, parent reuse, partial integration, and consumed-child reuse revert with unchanged checked post-state, while a valid lifecycle passes consistency checks. Gas evaluation over shows near-linear growth: Split at n=50 uses 12.91 M gas, while n=100 uses 25.75 M and exceeds the current 16.78 M Ethereum transaction cap. Blockchain and ERC-1155 are deployment and representation choices rather than correctness mechanisms. The security claim is limited to on-chain lifecycle consistency; physical-world input authenticity remains external.

Blockchains

21 October 2026

Illustrative claim-reuse path underlying duplicate reporting. Emission Information A is reused in Report B after its first use in Report A. Solid black arrows indicate the intended reporting flow, whereas the red dashed arrow indicates the improper reuse path that can lead to duplicate reporting.

Featured Articles of Last Quarter

Content and organization of this paper: Applications of blockchain for the management of GHG emissions, carbon, solid waste, plastic waste, water management, food waste, and circular economy.
Classification of federated learning in [10]. (a) Horizontal federated learning (HFL), partitioned by samples. (b) Vertical federated learning (VFL), partitioned by features. (c) Federated transfer learning (FTL).

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Blockchains - ISSN 2813-5288