On the public citation graph
Blockchain based context-aware CP-ABE schema for Internet of Medical Things security
Inferred edges come from two machine sources: sweeps of open repository
metadata (mostly SSRN and Zenodo), and a bulk OpenAlex citation snapshot. Every row below is
labelled with the one it came from. Neither is a complete citation index — absence here is not
evidence of absence.
1 of the 16 references listed on this page is in the Retraction Watch database as retracted (export 2026-11-11): 10.1155/2022/5038851 (notice 2023-12-29).
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Retraction Watch data via Crossref Labs, used with credit; OpenCitations Index (CC0) and Meta (CC BY 4.0);
dataset doi:10.7910/DVN/WT8VOA (CC BY 4.0).
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1002/ett.4112openalex-snapshotA Distributed framework for detecting DDoS attacks in smart contract‐based Blockchain‐IoT Systems by leveraging Fog computing
inferredcites →https://doi.org/10.1016/j.scs.2019.101522openalex-snapshotAn efficient anonymous mutual authentication technique for providing secure communication in mobile cloud computing for smart city applications
inferredcites →https://doi.org/10.3390/s22020572openalex-snapshotAn Industrial IoT-Based Blockchain-Enabled Secure Searchable Encryption Approach for Healthcare Systems Using Neural Network
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
inferred← citeshttps://doi.org/10.1007/s10207-024-00906-zopenalex-snapshotAn enhanced and verifiable lightweight authentication protocol for securing the Internet of Medical Things (IoMT) based on CP-ABE encryption
inferred← citeshttps://doi.org/10.1016/j.csi.2024.103929openalex-snapshotDBAC-DSR-BT: A secure and reliable deep speech recognition based-distributed biometric access control scheme over blockchain technology
inferred← citeshttps://doi.org/10.1049/cit2.12218openalex-snapshotUser privacy prevention model using supervised federated learning‐based block chain approach for internet of Medical Things
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