Analyzing the Implications of Healthcare Data Breaches through Computational Technique

Almulihi, Ahmed; Alassery, Fawaz; Khan, Asif Irshad; Shukla, Sarita; Gupta, Bineet Kumar; Kumar, Rajeev

doi:10.32604/iasc.2022.023460

Cited by 56 publications

(21 citation statements)

References 15 publications

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“…The basic process of comprehensive risk management is divided into five steps. The implementation of risk management is inseparable from the communication of information [ 8 ]. Therefore, a complete risk management information system must be established [ 9 ], as shown in Figure 2 .…”

Section: Methodsmentioning

confidence: 99%

“…e basic process of comprehensive risk management is divided into ve steps. e implementation of risk management is inseparable from the communication of information [8].…”

Section: Basic Methodsmentioning

confidence: 99%

“…Taking the criterion-level indicator of policy and legal risk as an example, according to formula (8), its membership algorithm is…”

Section: Fuzzy Operationsmentioning

confidence: 99%

See 2 more Smart Citations

The Establishment of Risk Evaluation Index System for Small- and Medium-Sized Agency Bookkeeping Companies

Zhang

2022

Computational Intelligence and Neuroscience

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In recent years, China’s economy has developed rapidly; many small companies have risen rapidly; and the tax system has become more and more standardized. Because many small businesses cannot afford to hire full-time accountants, they opt to outsource accounting services, giving small- and medium-sized bookkeeping firms a large market space. However, these opportunities also bring huge operational risks to small- and medium-sized bookkeeping companies. The purpose of this research is to help such enterprises carry out risk management and reduce operational risks. This study uses an analytic hierarchy process and a fuzzy comprehensive assessment approach to successfully combine quantitative and qualitative analysis and create a multilevel analysis structure model of the risk management evaluation index system of small- and medium-sized agency accounting firms. The structural model is verified by a case, the specific risk score of each factor is calculated through the scores of 20 experts, and the importance of risk is judged according to the size of the score, indicating that the structural model is feasible.

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Section: Methodsmentioning

confidence: 99%

“…e basic process of comprehensive risk management is divided into ve steps. e implementation of risk management is inseparable from the communication of information [8].…”

Section: Basic Methodsmentioning

confidence: 99%

See 1 more Smart Citation

The Establishment of Risk Evaluation Index System for Small- and Medium-Sized Agency Bookkeeping Companies

Zhang

2022

Computational Intelligence and Neuroscience

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“…This information is generated from various sources such as social media, hospital databases, bank transactions, etc. Thus, it's totally up to the users to decide whether the information is worthless or valuable [1,2].…”

Section: Introductionmentioning

confidence: 99%

Evaluating Security of Big Data Through Fuzzy Based Decision-Making Technique

Alassery¹,

Alzahrani²,

Khan³

et al. 2023

Computer Systems Science and Engineering

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In recent years, it has been observed that the disclosure of information increases the risk of terrorism. Without restricting the accessibility of information, providing security is difficult. So, there is a demand for time to fill the gap between security and accessibility of information. In fact, security tools should be usable for improving the security as well as the accessibility of information. Though security and accessibility are not directly influenced, some of their factors are indirectly influenced by each other. Attributes play an important role in bridging the gap between security and accessibility. In this paper, we identify the key attributes of accessibility and security that impact directly and indirectly on each other, such as confidentiality, integrity, availability, and severity. The significance of every attribute on the basis of obtained weight is important for its effect on security during the big data security life cycle process. To calculate the proposed work, researchers utilised the Fuzzy Analytic Hierarchy Process (Fuzzy AHP). The findings show that the Fuzzy AHP is a very accurate mechanism for determining the best security solution in a real-time healthcare context. The study also looks at the rapidly evolving security technologies in healthcare that could help improve healthcare services and the future prospects in this area.

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“…So, our requirement engineer cannot just simply avoid any of the operations and continue with the next operation because there will be connectivity between the operations if they skip any of those mentioned in the security requirement engineering, which was designed by the requirement engineer with the help of the partners who were well aware of the security of the software product [ 15 ].…”

Section: Introduction Of Identification Of Security Threats During Re...mentioning

confidence: 99%

An Efficient Identification of Security Threats in Requirement Engineering Methodology

Subha¹,

Haldorai²

2022

Computational Intelligence and Neuroscience

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Today, we completely rely on Information Technology (IT) applications for every aspect of daily life, including business and online transactions. In addition to using these IT-enabled applications for business purposes, we also use WhatsApp, Facebook, and a variety of other IT applications to communicate with others. However, there will undoubtedly be a drawback to every benefit. Since everything is linked to the Internet, there are many opportunities for security to be compromised. To address this, we are working to identify security threats early on in the software development process, specifically during the requirements phase. During the requirement engineering process, an engineer can recognize the security specifications in a more structured manner to create threat-free software. In our research work, we suggest the Identification of Security Threats during Requirement Engineering (ISTDRE) technique for detecting security risks throughout the requirement engineering process. The four points that make up this ISTDRE technique are Hack Point (HP), Speculation Point (SP), Trust Point (TP), and Reliable Point (RP). The new ISTDRE methodology will be validated using a case study of an ERP system involving two currently used methodologies: Model Oriented Security Requirements Engineering (MOSRE) and System Quality Requirements Engineering (SQUARE).

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Analyzing the Implications of Healthcare Data Breaches through Computational Technique

Cited by 56 publications

References 15 publications

The Establishment of Risk Evaluation Index System for Small- and Medium-Sized Agency Bookkeeping Companies

The Establishment of Risk Evaluation Index System for Small- and Medium-Sized Agency Bookkeeping Companies

Evaluating Security of Big Data Through Fuzzy Based Decision-Making Technique

An Efficient Identification of Security Threats in Requirement Engineering Methodology

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