Evidence map›Paper›PMID 41703014›Full record

ArticleScientific reports2026

Blockchain-driven smart contract with key exchange protocol for secure device-to-device communication using verkle tree K-ary structures.

A Simbu, S Nandakumar, K Saravanan

Abstract read
In one paragraph

Article in Scientific reports, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

A SimbuSchool of Electronic Engineering, Vellore Institute of Technology, Vellore, 632014, India.
S NandakumarSchool of Electronic Engineering, Vellore Institute of Technology, Vellore, 632014, India. snandakumar@vit.ac.in.
K SaravananSchool of Electronic Engineering, Vellore Institute of Technology, Vellore, 632014, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In the rapidly evolving landscape of wireless communication, the traditional model of data exchange predominantly relies on a centralized infrastructure, where all communications, even between nearby devices, are routed through a base station (BS) and potentially the core network. Device-to-device (D2D) communication emerges as a transformative paradigm that challenges this conventional model. The concept of D2D communication has gained considerable traction, especially with the advent of 4G LTE and its crucial role in 5G and beyond. D2D aims to unlock numerous benefits, including improved spectral efficiency, increased throughput, reduced latency, enhanced energy efficiency, and better network offloading. In this paper, we focus on secure D2D communication using D2D-ECDH key exchange protocol with blockchain smart contracts along with blockchain Verkle tree data structure. This approach helps to improve secure communication between IoT devices and avoids Man-in-the-Middle (MITM) attacks, replay attacks, and central points of failure. The Verkle tree approach provides a smaller proof size to verify the root commitment value compared to the traditional Merkle tree data structure. The simulation has been executed in both Python and Solidity coding. Python has executed in VS Code generator, and Solidity code has executed in Remix IDE, Ethereum network V0.65.0. The Remix IDE was developed in Ganache V2.7.1 for blockchain smart contracts. Compared to the traditional Merkle tree approach, the Verkle tree provides less proof size up to 33 times.

Indexed as

BlockchainCommunicationD2DECDHKey exchangeMerkle treeSmart contractVerkle tree

Identifiers

PMID41703014
PMCPMC13004948

What OpenQuestion holds

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LicenceCC BY-NC-ND
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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.