The Degree of Privacy in Web-based Electronic Health Records

Slamanig, Daniel; Stingl, Christian

doi:10.1007/978-3-540-89208-3_232

Cited by 4 publications

(3 citation statements)

References 5 publications

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“…Same integrity obtained 2nd highest weight (0.3296) for level 1 and sub-factor of integrity, network security also obtained the second highest weights (0.1267), so we assigned the 2nd rank, control accessibility based on weight (0.1250) obtained 3rd rank, maintain efficiency obtains 4th rank based on weight (0.1174), paper security obtain 5th rank based on obtained weight (0.0855), eavesdropping obtain 6th rank based on weight (0.0823), encryption obtain 7th rank based on weight (0.0749), password changing remainder obtain8th rank based on weight (0.0685), Man in middle attacks and malware/phishing obtain 9th and 10th rank based on weight (0.0500) (0.0677), respectively. The authors have evaluated the performance of factors for securing the HIS with the help 4)- (9). By using the equation ( 15), we calculated the normalized weights of the matrix.…”

Section: Results and Outcomementioning

confidence: 99%

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Securing healthcare information system through fuzzy based decision-making methodology

Alharbi

Ahmad

Alosaimi

et al. 2022

Health Informatics J

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The purpose of the healthcare Information System (HIS) is to replace the conventional method of data gathering and organization in hospitals into a modern method of systematic data collection, maintenance and dissemination. There has been an unprecedented rise in the malware and cyber-attacks on HIS recently. Cyber-attacks have become a major crisis for the healthcare industry. To address this scenario, the present paper conducts a study on the security factors integral to the healthcare information system and conducts the performance analysis of these factors. For this intent, the study has employed the Fuzzy Analytic Hierarchy Process (F.AHP) integrated with Technique Order Preference by Similarity to Ideal Solution (TOPSIS) integrated framework for evaluating the performance of each factor. Thereafter, the factors that play a vital role in healthcare data security breaches have been prioritized as per their security weights. Furthermore, the validity of the results obtained by the stated methodology has been established by conducting the sensitivity analysis and comparison of results with the other methods by using the same data set. Based on results thus obtained, the access control and software security have been identified as the most promising security factors.

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Section: Results and Outcomementioning

confidence: 99%

“…Many researchers are already working on the MCDM approach with different aims in this league. 9 Rajeev et al (2020) applied fuzzy-based AHP-TOPSIS procedure for evaluating the impact of harmful factors of HIS. In this study, the authors prioritized the harmful factors which affect the data layers used in HIS.…”

Section: Introductionmentioning

confidence: 99%

Securing healthcare information system through fuzzy based decision-making methodology

Alharbi

Ahmad

Alosaimi

et al. 2022

Health Informatics J

View full text Add to dashboard Cite

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“…The study also tells that assuring data security and secure availability of data in between patient, doctor and healthcare service provider is a challenging Symmetry 2020, 12, 664 2 of 24 task in electronic healthcare environment. Thus, it is evident that the issue of information security is has been a contentious issue for a long time now and many researchers are working on this from different perspectives [3,4]. But the challenges and criticalness of this issue demand a more justified solution for information security assurance in healthcare [5,6].…”

Section: Introductionmentioning

confidence: 99%

Fuzzy-Based Symmetrical Multi-Criteria Decision-Making Procedure for Evaluating the Impact of Harmful Factors of Healthcare Information Security

et al. 2020

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Growing concern about healthcare information security in the wake of alarmingly rising cyber-attacks is being given symmetrical priority by current researchers and cyber security experts. Intruders are penetrating symmetrical mechanisms of healthcare information security continuously. In the same league, the paper presents an overview on the current situation of healthcare information and presents a layered model of healthcare information management in organizations. The paper also evaluates the various factors that have a key contribution in healthcare information security breaches through a hybrid fuzzy-based symmetrical methodology of AHP-TOPSIS. Furthermore, for assessing the effect of the calculated results, the authors have tested the results on local hospital software of Varanasi. Tested results of the factors are validated through the comparison and sensitivity analysis in this study. Tabulated results of the proposed study propose a symmetrical mechanism as the most conversant technique which can be employed by the experts and researchers for preparing security guidelines and strategies.

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