A secure and auditable logging infrastructure based on a permissioned blockchain
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Blockchain-backed logging infrastructures can satisfy integrity requirements but impose consensus overhead, network dependencies, and deployment complexity that can be prohibitive at the IoT edge.
“Blockchain-backed logging infrastructures can satisfy this requirement but impose consensus overhead, network dependencies, and deployment complexity that can be prohibitive at the IoT edge.”
From Lightweight Tamper-Evident Log Integrity Verification for IoT Edge Environments: A Merkle Tree Pipeline with Adaptive Chunking (2026) · cites this paper as Putz et al., 2019
Blockchain systems such as Putz et al. (2019) report throughput in the hundreds to low thousands of transactions per second, bounded by consensus round-trip latency.
“Blockchain systems such as Putz et al. (2019) report throughput in the hundreds to low thousands of transactions per second, bounded by consensus round-trip latency.”
From Lightweight Tamper-Evident Log Integrity Verification for IoT Edge Environments: A Merkle Tree Pipeline with Adaptive Chunking (2026) · cites this paper as Putz et al. (2019)
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- Authors
- Putz, B., Menges, F., & Pernul, G.
- Affiliations
- University of Regensburg (DE)
- Corresponding author
- Putz, Benedikt
- Venue
- Computers & Security
- Publisher
- Elsevier BV
- Published
- 2019-11
- Volume
- 87
- Pages
- 101602
- ISSN
- 0167-4048 (ISSN-L)
- OpenAlex
- W2971553341
- Cited by
- 77
- References
- 29
- Citations by year
- 2026: 20 · 2025: 8 · 2024: 10 · 2023: 12 · 2022: 10 · 2021: 12 · 2020: 5
- FWCI
- 8.40
- Type
- journal article
- Language
- en
- Open access
- green
- doi.org
- Locations
- Computers & Security (publishedVersion)
- University of Regensburg Publication Server (University of Regensburg) (acceptedVersion)
- University of Regensburg Publication Server (University of Regensburg)
- Funders
- Bundesministerium für Bildung und Forschung (16KIS0501K)
- Topics
- Physical Sciences › Computer Science › Information Systems › Blockchain Technology Applications and Security
- Physical Sciences › Computer Science › Artificial Intelligence › Cryptography and Data Security
- Physical Sciences › Computer Science › Artificial Intelligence › Security and Verification in Computing
- Keywords
- secure logging, log integrity, permissioned blockchain, existence proof, non-repudiation, software security, audit trail
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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