A Hybrid Fuzzy Rule-Based Multi-Criteria Framework for Security Assessment of Medical Device Software

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

doi:10.22266/ijies2020.1031.06

Cited by 11 publications

(9 citation statements)

References 9 publications

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“…11 for level 2. A normalized fuzzy decision matrix was constructed after normalizing the cognition matrix and calculating the normalized fuzzy weights of the decision matrix for level 2 with the help of [18,19] (as shown in Tabs. 12 and 13).…”

Section: Data Analysis and Resultsmentioning

confidence: 99%

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Estimating the Impact of COVID-19 Pandemic on the Research Community in the Kingdom of Saudi Arabia

Attaallah¹,

Ahmad²,

Seh³

et al. 2021

Computer Modeling in Engineering &Amp; Sciences

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Ever since its outbreak in Wuhan, COVID-19 has cloaked the entire world in a pall of despondency and uncertainty. The present study describes the exploratory analysis of all COVID cases in Saudi Arabia. Besides, the study has executed the forecasting model for predicting the possible number of COVID-19 cases in Saudi Arabia till a defined period. Towards this intent, the study analyzed different age groups of patients (child, adult, elderly) who were affected by COVID-19. The analysis was done city-wise and also included the number of recoveries recorded in different cities. Furthermore, the study also discusses the impact of COVID-19 on the economy. For conducting the stated analysis, the authors have created a list of factors that are known to cause the spread of COVID-19. As an effective countermeasure to contain the spread of Coronavirus in Saudi Arabia, this study also proposes to identify the most effective Computer Science technique that can be used by healthcare professionals. For this, the study employs the Fuzzy-Analytic Hierarchy Process integrated with the Technique for Order Performance by Similar to Ideal Solution (F.AHP.TOPSIS). After prioritizing the various Computer Science techniques, the ranking order that was obtained for the different techniques/tools to contain COVID-19 was: A4 > A1 > A2 > A5 > A3. Since the Blockchain technique obtained the highest priority, the study recommends that it must be used extensively as an efficacious and accurate means to combat COVID-19.

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Section: Data Analysis and Resultsmentioning

confidence: 99%

“…It took some time for the experts to ascertain the exact cause of the contagion [2]. On 7 January 2020, the virus was identified as the Novel Coronavirus (COVID- 19). COVID-19 is different from SARA-CoV and MERS-CoV, but the virus is closely related to both of them [3].…”

Section: Introductionmentioning

confidence: 99%

Estimating the Impact of COVID-19 Pandemic on the Research Community in the Kingdom of Saudi Arabia

Attaallah¹,

Ahmad²,

Seh³

et al. 2021

Computer Modeling in Engineering &Amp; Sciences

Self Cite

View full text Add to dashboard Cite

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“…In our paper, selecting an appropriate membership function (MF) holds paramount importance for ensuring an accurate and efficient evaluation. As emphasized by the authors in [24,25], the primary requirement for an MF is its ability to range between 0 and 1.…”

Section: Applications Of Fuzzy Logicmentioning

confidence: 99%

Risk Evaluation and Attack Detection in Heterogeneous IoMT Devices Using Hybrid Fuzzy Logic Analytical Approach

Pritika,

Shanmugam,

Azam

2024

Sensors

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The rapidly expanding Internet of Medical Things (IoMT) landscape fosters enormous opportunities for personalized healthcare, yet it also exposes patients and healthcare systems to diverse security threats. Heterogeneous IoMT devices present challenges that need comprehensive risk assessment due to their varying functionality, protocols, and vulnerabilities. Hence, to achieve the goal of having risk-free IoMT devices, the authors used a hybrid approach using fuzzy logic and the Fuzzy Analytical Hierarchy Process (FAHP) to evaluate risks, providing effective and useful results for developers and researchers. The presented approach specifies qualitative descriptors such as the frequency of occurrence, consequence severity, weight factor, and risk level. A case study with risk events in three different IoMT devices was carried out to illustrate the proposed method. We performed a Bluetooth Low Energy (BLE) attack on an oximeter, smartwatch, and smart peak flow meter to discover their vulnerabilities. Using the FAHP method, we calculated fuzzy weights and risk levels, which helped us to prioritize criteria and alternatives in decision-making. Smartwatches were found to have a risk level of 8.57 for injection attacks, which is of extreme importance and needs immediate attention. Conversely, jamming attacks registered the lowest risk level of 1, with 9 being the maximum risk level and 1 the minimum. Based on this risk assessment, appropriate security measures can be implemented to address the severity of potential threats. The findings will assist healthcare industry decision-makers in evaluating the relative importance of risk factors, aiding informed decisions through weight comparison.

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“…Step-III: Defuzzification method is taken from [22][23][24] where TFN values are aggregated in common values. Further, defuzzification is determined through Eqs.…”

Section: Fuzzy Topsismentioning

confidence: 99%

Analyzing the Implications of COVID-19 Pandemic: Saudi Arabian Perspective

Ahmed¹,

Alhumam²

2021

Intelligent Automation &Amp; Soft Computing

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Most of the patients diagnosed with COVID-19 pandemic usually suffer from mild-to-serious respiratory illness and become stable without any specific care. In fact, in some countries like India the mortality rate is as low. Those who are amongst the most vulnerable groups are the elderly and the ones with chronic ailments like diabetes, heart ailments, and respiratory ailments. However, apart from the impact on the physical health of the patients, this disease has had a more debilitating affect on the mental as well as emotional well-being of the people. Due to continuous watching and protection programs to fight the pandemic, people have been forced into isolation for months and follow social distancing norms without any group interactions. With minimal human-to-human contact and almost no group activities, people are battling with issues of angst, fear and uncertainty. The pandemic has shoved the entire planet into an unstable state. Moreover, the living conditions of everyone have become similar. This research work estimates the impact of COVID-19 pandemic on different aspects of Saudi Arabia's research society. The impact has been evaluated in two dimensions: the early approach, and the late approach of COVID-19 pandemic and the consequent effects in different areas of the research society of Saudi Arabia. In this analysis, we have applied the integrated fuzzy based ANP-TOPSIS approach to evaluate the COVID-19 impact on different aspects of human life. Hence, our study is an attempt to engage the attention of both the government and the policymakers to strategise for an expeditious planning and implementation of measures that will ease the financial duress of the individuals and people of Saudi Arabia.

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A Hybrid Fuzzy Rule-Based Multi-Criteria Framework for Security Assessment of Medical Device Software

Cited by 11 publications

References 9 publications

Estimating the Impact of COVID-19 Pandemic on the Research Community in the Kingdom of Saudi Arabia

Estimating the Impact of COVID-19 Pandemic on the Research Community in the Kingdom of Saudi Arabia

Risk Evaluation and Attack Detection in Heterogeneous IoMT Devices Using Hybrid Fuzzy Logic Analytical Approach

Analyzing the Implications of COVID-19 Pandemic: Saudi Arabian Perspective

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