A Fuzzy Multi-Objective Covering-based Security Quantification Model for Mitigating Risk of Web based Medical Image Processing System

Algarni, Abdullah; Ahmad, Masood; Attaallah, Abdulaziz; Agrawal, Alka; Kumar, Rajeev; Ahmad, Raees

doi:10.14569/ijacsa.2020.0110159

Cited by 20 publications

(27 citation statements)

References 14 publications

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“…The reader receives the carrier signal from the tag, enters the radio frequency unit through the antenna, and converts it into a digital signal. The digital signal processing unit performs the necessary processing and composition, deforms the final returned information, and completes the identification or reading and operation of the RFID tag record [ 22 ]. The received signal is decoded and sent to the central computer for processing.…”

Section: Research and Design Methods Of Image Data Security Mechanimentioning

confidence: 99%

Image Data Security Mechanism Based on the Internet of Things Cardiac Catheterization Laboratory Information Management System Research and Design

Zhang

2021

Journal of Healthcare Engineering

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With the development of science and technology, more and more operations are performed in the cardiac catheterization laboratory. During such operations, a lot of relevant imaging data need to be retained. These imaging data can be used for clinical and scientific research and teaching applications, but imaging data security has also become an increasingly important issue. This article is based on the Internet of Things cardiac catheterization laboratory information management system image data security mechanism system research. First of all, this article adopts the literature method to study the application research of the Internet of Things technology in the medical field, as well as the relevant medical imaging data security technology methods. Then, the medical image data security mechanism was designed, and the image data security model of the cardiac catheterization laboratory information management system based on the Internet of Things was established. Finally, the application of decentralized management of the Internet of Things RFID technology on medical equipment and the security of the application of this technology on medical imaging data are analyzed, and finally a conclusion is drawn. The image data security mechanism established in this article is based on the Internet of Things technology. The security rate of image information data reaches more than 95%, the information data security level reaches level 1, and the average data missing rate is only 4.7%. It is a brand-new breakthrough, hoping to further improve the efficiency of hospital information management and protect the safety of medical information.

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Section: Research and Design Methods Of Image Data Security Mechanimentioning

confidence: 99%

Image Data Security Mechanism Based on the Internet of Things Cardiac Catheterization Laboratory Information Management System Research and Design

Zhang

2021

Journal of Healthcare Engineering

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“…Fuzzy-AHP is useful in eliciting precise values/facts during making decisions [34]. A commonly applied priority evaluation tool is Fuzzy-AHP.…”

Section: Ranking/priority Analysismentioning

confidence: 99%

“…A commonly applied priority evaluation tool is Fuzzy-AHP. The researchers of this work have previously used this procedure [34] to perform the Fuzzy-AHP approach and have gathered data from 75 experts from various areas. This approach focuses on giving the prioritized data procedure in healthcare with the aid of feedback from experts.…”

Section: Ranking/priority Analysismentioning

confidence: 99%

“…The fuzzy based pair-wise comparison matrix for data backup at level-1depicts in Table 5 that contains data soundness, data robustness, data auditability, privacy-preserving, data honesty 11. The authors followed [34] processes to test the defuzzify and RC values of the matrix. This study used the alpha cut procedure [34] for the defuzzification process.…”

Section: Ranking/priority Analysismentioning

confidence: 99%

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Ensuring data integrity of healthcare information in the era of digital health

Zarour

Alenezi

Ansari

et al. 2021

Healthcare Tech Letters

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Data integrity continues to be a persistent problem in the current healthcare sector. It ensures that the data is correct and has not even in any manner been improperly changed. Incorrect data might become significant health threats for patients and a big responsibility for clinicians, resulting in problems such as scam, misconduct, inadequate treatment and data theft. This sort of endangering scenario causes tremendous difficulty in handling healthcare data. This research intends to describe the threat plot of data integrity in healthcare through numerous attack statistics from around the world and Saudi Arabia and identify the criticality in Saudi Arabia in particular. A literature review by descriptive analysis, unit analysis and rating analysis to achieve the planned systematic literature review goal is outlined. The outcome of ranking analysis using a fuzzy analytical hierarchy process methodology offers a route for Saudi Arabian researchers to promote medical records or data security in Arabic healthcare. It is suggested that blockchain is the most prioritized method for regular use and adaptation across Saudi Arabia in all data integrity management techniques. To address the challenges of data integrity and future path, the authors critically examine the challenges posed by data integrity in the healthcare sector.This is an open access article under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.

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“…Fuzzy-AHP is methodology that is pre-verified and authors has expertise in fuzzy-based various MCDM approaches through their previous experience [53][54][55][56]. Fuzzy-AHP methodology works on triangular fuzzy numbers and provides some crisp and effective outcomes [57][58][59][60][61]. Authors strongly believe that fuzzy-AHP is the most promising and effective technique for assessing the priority of malware analysis techniques and types.…”

Section: Ranking Examinationmentioning

confidence: 99%

Malware Analysis in Web Application Security: An Investigation and Suggestion

Pandey¹,

Alsolami²

2020

IJACSA

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Malware analysis is essentially used for the identification of malware and its objectives. However, the present era has seen the process of malware analysis being used for enhancing security methods for different domains of technology. This study has attempted to analyze the current situation and status of malware analysis in web application security through some objectives. These objectives helps the authors to analyze the purpose, used methodology of malware analysis in web application security previously as well as authors select and find a prioritized technique of malware analysis through a hybrid multi criteria decision making procedure called fuzzy-Analytical Hierarchy Process. This fuzzy-AHP methodology helps the authors to find and recommend a most prioritized malware analysis techniques and type as well as suggest a ranking of various malware analysis techniques that used in web application security frequently for experts and developers use. Furthermore, second section of paper forecast the attack statistics and publication statistics of malwares and malware analysis in web application security respectively for understanding the sensitivity of topic and need of investigation. The proposed tactic intends to be an effective reckoner for web developers and facilitate in malware analysis for securing web applications. Additionally, the study also forecast the publication and attack scenario of malware and malware analysis for web application security that gives a complimentary overview of domain.

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A Fuzzy Multi-Objective Covering-based Security Quantification Model for Mitigating Risk of Web based Medical Image Processing System

Cited by 20 publications

References 14 publications

Image Data Security Mechanism Based on the Internet of Things Cardiac Catheterization Laboratory Information Management System Research and Design

Image Data Security Mechanism Based on the Internet of Things Cardiac Catheterization Laboratory Information Management System Research and Design

Ensuring data integrity of healthcare information in the era of digital health

Malware Analysis in Web Application Security: An Investigation and Suggestion

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