Evidence map›Paper›PMID 41991540›Full record

ArticleScientific reports2026

Scalable and energy efficient hybrid cryptographic framework for IoT security using advanced symmetric and asymmetric techniques.

Bijie Huan, Haiyan Xie

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

2 authors.

Bijie HuanShenzhen Institute of Information Technology, Shenzhen University, Shenzhen, 050134, Hebei, China.
Haiyan XieUniversity of Electronic Science and Technology of China, Shenzhen, 050102, Hebei, China. huichanglih@gmail.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The rapid growth of the Internet of Things (IoT) demands robust yet lightweight cryptographic solutions to secure sensitive data on resource-constrained devices. This paper introduces the Hybrid Elliptic-AES Encryption (HEAE), a novel cryptographic framework that integrates AES-256’s robust symmetric encryption with Elliptic Curve Cryptography (ECC) for efficient key management. Unlike conventional hybrid approaches, HEAE innovates through a modified F-function with parallel processing, reducing execution time by 26% compared to RSA and 14% compared to DES for 5 MB datasets. Its lightweight design, optimized for IoT, achieves a 19% reduction in energy consumption compared to RSA and 6% compared to DES for 20 MB datasets. HEAE incorporates SHA-256 hashing for data integrity and is compatible with real-world IoT frameworks like LoRaWAN, Zigbee, and MQTT. Demonstrating resilience against chosen plaintext (CPA) and known plaintext (KPA) attacks, HEAE offers a scalable, energy-efficient, and secure solution tailored for IoT ecosystems, ensuring data confidentiality and system reliability.

Indexed as

AES-256Elliptic curve cryptographyEnergy-efficientIoT securityLightweight cryptography

Identifiers

PMID41991540
PMCPMC13247005

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.