Evidence map›Paper›PMID 40280989›Full record

ArticleScientific reports2025

Low power IoT device communication through hybrid AES-RSA encryption in MRA mode.

Qiang Chang, Tianqi Ma, Wenzhong Yang

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 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

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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

2 citing papers in PubMed.

  1. Article
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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.

Qiang ChangXinjiang Transportation Investment Technology Co. Ltd, Urumqi, 830000, XinJiang, China.
Tianqi MaSchool of Computer Science and Technology (School of cyberspace Security), XinJiang University, Huarui street, Urumqi, 10587, China. 107552304112@stu.xju.edu.cn.
Wenzhong YangSchool of Computer Science and Technology (School of cyberspace Security), XinJiang University, Huarui street, Urumqi, 10587, China. yangwenzhong@xju.edu.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In modern edge scenarios, the security of sensor networks plays a pivotal role in ensuring the safe communication of IoT data. Therefore, deploying encryption algorithms among edge devices is of paramount importance. However, most existing research predominantly emphasizes the efficiency of data transmission while often overlooking critical aspects of data integrity and confidentiality. The communication between sensor nodes and from sensors to end nodes necessitates additional robust security measures.This paper presents an enhanced approach to the RSA and AES algorithms, tailored for deployment on low-energy IoT devices commonly found in edge environments. The improved AES algorithm transitions from a single-threaded encryption and decryption process to a three-threaded design, reducing the ten-round operation to seven rounds to enhance both speed and energy efficiency. The enhanced RSA algorithm replaces the traditional dual-prime system with a triple-prime system, increasing the number of primes while reducing the bit length of each prime. This modification optimizes computational efficiency and strengthens security.Furthermore, we investigate the feasibility of integrating the RSA and AES algorithms and propose a novel RSA-AES hybrid algorithm MRA. This fusion approach leverages the strengths of both algorithms, encrypting the AES key using the improved RSA algorithm to bolster data security while maintaining efficient transmission.Performance evaluations of the RSA-AES hybrid algorithm demonstrate its exceptional capability in securing data transmission within edge scenarios,and the security of this hybrid algorithm is analyzed. The experimental results highlight that this algorithm not only ensures robust data security but also achieves high transmission efficiency, offering a reliable and practical solution for secure communication in edge environments.

Indexed as

Data transferEdge networkHybrid encryptionRSA-AESSecurity analysis

Identifiers

PMID40280989
PMCPMC12032356

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.