Evidence map›Paper›PMID 35935783›Full record

ArticleFrontiers in medicine2022

SecAODV: A Secure Healthcare Routing Scheme Based on Hybrid Cryptography in Wireless Body Sensor Networks.

Heon Jeong, Sang-Woong Lee, Mazhar Hussain Malik, Efat Yousefpoor, Mohammad Sadegh Yousefpoor, Omed Hassan Ahmed, Mehdi Hosseinzadeh, Amir Mosavi

Abstract read
In one paragraph

Article in Frontiers in medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

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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

8 authors.

Heon JeongDepartment of Fire Service Administration, Chodang University, Muan-gun, South Korea.
Sang-Woong LeePattern Recognition and Machine Learning Lab, Gachon University, Seongnam, South Korea.
Mazhar Hussain MalikHoD Computing and IT (CIT) Global College of Engineering and Technology, Muscat, Oman.
Efat YousefpoorDepartment of Computer Engineering, Dezful Branch, Islamic Azad University, Dezful, Iran.
Mohammad Sadegh YousefpoorDepartment of Computer Engineering, Dezful Branch, Islamic Azad University, Dezful, Iran.
Omed Hassan AhmedDepartment of Information Technology, University of Human Development, Sulaymaniyah, Iraq.
Mehdi HosseinzadehPattern Recognition and Machine Learning Lab, Gachon University, Seongnam, South Korea.
Amir MosaviFaculty of Civil Engineering, Technische Universität Dresden, Dresden, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In recent decades, the use of sensors has dramatically grown to monitor human body activities and maintain the health status. In this application, routing and secure data transmission are very important to prevent the unauthorized access by attackers to health data. In this article, we propose a secure routing scheme called SecAODV for heterogeneous wireless body sensor networks. SecAODV has three phases: bootstrapping, routing between cluster head nodes, and communication security. In the bootstrapping phase, the base station loads system parameters and encryption functions in the memory of sensor nodes. In the routing phase, each cluster head node calculates its degree based on several parameters, including, distance, residual energy, link quality, and the number of hops, to decide for rebroadcasting the route request (RREQ) message. In the communication security phase, a symmetric cryptography method is used to protect intra-cluster communications. Also, an asymmetric cryptography method is used to secure communication links between cluster head nodes. The proposed secure routing scheme is simulated in the network simulator version 2 (NS2) simulator. The simulation results are compared with the secure multi tier energy-efficient routing scheme (SMEER) and the centralized low-energy adaptive clustering hierarchy (LEACH-C). The results show that SecAODV improves end-to-end delay, throughput, energy consumption, packet delivery rate (PDR), and packet loss rate (PLR).

Indexed as

healthcareInternet of things (IoT)secure routingsecuritywireless body sensor networks (WBSNs)

Identifiers

PMID35935783
PMCPMC9351592

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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.