SCB-HC-ECC–Based Privacy Safeguard Protocol for Secure Cloud Storage of Smart Card–Based Health Care System

Senthilkumar, S.; Brindha, K.; Kryvinska, Natalia; Bhattacharya, Sweta; Bojja, Giridhar Reddy

doi:10.3389/fpubh.2021.688399

Cited by 8 publications

(3 citation statements)

References 54 publications

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“…It is a method that determines the credentials of a user to access and obtain information [25], [26] Custom security checks…”

Section: Software Securitymentioning

confidence: 99%

“…Therefore, they consider that security solutions and authentication schemes are effective ways to address this problem. On the other hand, cloud computing is widely used in the healthcare sector, so it is especially important to implement the mechanism of a remote authentication scheme for secure transfer of confidential files, especially patient health information [26]. Similarly, the adoption of a security verification mechanism for medical devices, along with verified data security parameters and appropriate custom controls, is crucial to preventing cyber-attacks [27].…”

Section: Rq2: What Computer Security Mechanisms Are Most Commonly Imp...mentioning

confidence: 99%

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A critical review of the state of computer security in the health sector

Jáuregui-Velarde,

Hernández Celis,

Yactayo Arias

et al. 2023

Bulletin EEI

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There is growing concern about IT security in the healthcare sector due to the number of cyberattacks. The objective of the review is to analyze the state of adoption of computer security in the healthcare sector and provide valuable knowledge to researchers and health organizations interested in this field of study. An exhaustive search of international and regional articles on computer security in healthcare organizations was conducted using Scopus, Dimensions, and pubMed databases. Preferred reporting items for systematic reviews and meta-analysis (PRISMA) statement was used for the selection of articles published between 2018 and 2022. The final number of articles considered is 50. The review explored approaches related to computer security types, mechanisms, and technologies. The findings reveal that blockchain is the most widely used technology to protect medical information. In addition, network, software, and hardware security approaches are employed, using mechanisms such as data encryption, authentication, and access control. Based on these findings, a perimeter security model for the protection of medical information is proposed. In conclusion, these results highlight the importance of adopting robust security measures in terms of networks, software, and hardware, as well as adopting blockchain technology to improve data security in the healthcare sector.

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“…It is a method that determines the credentials of a user to access and obtain information [25], [26] Custom security checks…”

Section: Software Securitymentioning

confidence: 99%

Section: Rq2: What Computer Security Mechanisms Are Most Commonly Imp...mentioning

confidence: 99%

A critical review of the state of computer security in the health sector

Jáuregui-Velarde,

Hernández Celis,

Yactayo Arias

et al. 2023

Bulletin EEI

View full text Add to dashboard Cite

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“…Organizations usually use diversified protocols to encrypt their data and maintain confidentiality. Volume, heterogeneity of protocols, and encryption have posed several new challenges before the IDS system in detecting malicious activities (Resende & Drummond, 2018;Senthilkumar et al, 2021). An intruder attempts to gain unauthorized access to a system or network with malafide intentions and disrupt the normal execution (Butun et al, 2014;Liao et al, 2013;Low, 2005;Mitchell & Chen, 2014).…”

Section: Introductionmentioning

confidence: 99%

Intrusion Detection System

Singh,

Prakash,

Kumar

et al. 2024

Journal of Database Management

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The use of encrypted data, the diversity of new protocols, and the surge in the number of malicious activities worldwide have posed new challenges for intrusion detection systems (IDS). In this scenario, existing signature-based IDS are not performing well. Various researchers have proposed machine learning-based IDS to detect unknown malicious activities based on behaviour patterns. Results have shown that machine learning-based IDS perform better than signature-based IDS (SIDS) in identifying new malicious activities in the communication network. In this paper, the authors have analyzed the IDS dataset that contains the most current common attacks and evaluated the performance of network intrusion detection systems by adopting two data resampling techniques and 10 machine learning classifiers. It has been observed that the top three IDS models—KNeighbors, XGBoost, and AdaBoost—outperform binary-class classification with 99.49%, 99.14%, and 98.75% accuracy, and XGBoost, KNneighbors, and GaussianNB outperform in multi-class classification with 99.30%, 98.88%, and 96.66% accuracy.

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IT Decision Support System and Modeling of Medical Processes

Stachlewski

Sajbidor

2022

Studies in Systems, Decision and Control

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SCB-HC-ECC–Based Privacy Safeguard Protocol for Secure Cloud Storage of Smart Card–Based Health Care System

Cited by 8 publications

References 54 publications

A critical review of the state of computer security in the health sector

A critical review of the state of computer security in the health sector

Intrusion Detection System

IT Decision Support System and Modeling of Medical Processes

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