Evidence map›Paper›PMID 41224907›Full record

ArticleScientific reports2025

Authentication mechanism based on distributed blockchain for secure and energy efficient mobile ad-hoc networks.

V R Sugumaran, E Dinesh, R Ramya, Elangovan Muniyandy

Abstract read
In one paragraph

Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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

4 authors.

V R SugumaranDepartment of Computer Science and Engineering, E.G.S. Pillay Engineering College, Nagapattinam, Tamil Nadu, India, 611002. sugumaran@egspec.org.
E DineshDepartment of Electronics and Communication Engineering, M.Kumarasamy College of Engineering, Karur, Tamil Nadu, India, 639113.
R RamyaDepartment Artificial Intelligence and Data Science, St Joseph's College of Engineering, Old Mahabalipuram Road, Chennai, Tamil Nadu, India, 600119.
Elangovan MuniyandyDepartment of Biosciences, Saveetha School of Engineering, Saveetha Institute of Medical and Technical Sciences, Chennai, Tamil Nadu, India, 602105.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This work addresses the security issues which occurred in the Mobile Adhoc Networks (MANETs). The earlier efforts seen in MANET are more centralized and use more power. Therefore, the objective of this study is to offer high levels of security with minimal energy usage. This work creates a unique DBlock-Auth technique for MANETs to accomplish this objective. According to the Similarity Score (Sim-Score), the total networks are separated into several zones and every zone is further converted into numerous clusters. Prior to that, each node is verified through the Blockchain based PUF (BPUF) method and that authenticates each node's Physical Unclonable Functions (PUF). The Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) multi-criteria method is used to choose the best CH from among the numerous clusters created by each of the acceptable node. The MuMoT technique selects the best path for data transfer inside each cluster. Finally, the Light HB technique ensures the security of data. This result of simulation is executed by using the ns2 network's simulators and that computes efficiency of Quality of Service (QoS) parameters. These simulations' results also obtained the best security levels, Packet Delivery Ratio (PDR), efficiency of energy, latency, accuracy of detections, energy usages, and throughput.

Indexed as

BPUFDBlock-AuthMANETMuMoT

Identifiers

PMID41224907
PMCPMC12612231

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.