A Knowledge-Based Integrated System of Hesitant Fuzzy Set, AHP and TOPSIS for Evaluating Security-Durability of Web Applications

Kumar, Rajeev; Khan, Asif Irshad; Abushark, Yoosef B.; Alam, Manawwer; Agrawal, Alka; Khan, Raees Ahmad

doi:10.1109/access.2020.2978038

Cited by 57 publications

(70 citation statements)

References 26 publications

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“…For medical device software security assessment, we have used the Fuzzy ANP-TOPSIS approach. ANP refers to the goal, criteria, and alternatives in the form of network [21,22]. The analysis of outcomes in distinct applications with the help of TOPSIS approach shows the quality assessment indicators which affect the calculating of U(x) Figure. 2 Triangular fuzzy number…”

Section: Methodsmentioning

confidence: 99%

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

Algarni¹,

Ahmad²,

Attaallah³

et al. 2020

IJIES

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The third party software components for medical devices are a critical issue because the hackers can send the updates for medical device software which may contain malware that can affect the medical devices. To quote an instance in this regard is the report generated by Zoll, a supplier of medical devices, which states that several patients' data was exposed in 2019 due to an error which occurred at the time of software updating. In this paper we have attempted the assessment the security of medical devices software from different suppliers. We applied the Fuzzy Analytic Network Process (ANP) and Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) methodology for the assessment of third party software component of medical imaging devices. We have listed the criteria and alternatives for the assessment of the software security. The tabulated results that have been presented in the study are evidently showing the satisfaction degree and the ranking of the software security in the obtained order of A6, A1, A2, A5, A4, and A3. Furthermore, the ranking of the software shows that Rank 1 obtained A6 alternatives, which implies that it is absolutely important. Likewise, Rank 2 implies strongly important, 3rd Rank shows fairly important, 4th shows weakly, 5th shows equally and the 6th Rank equates with bad. Use of our framework would be an apt guideline for the manufacturers and users in developing software that is efficacious while being secure for all the stakeholders associated with the use of medical devices. Should the developers adhere to the suggested framework in this study, they can be assured of developing secure medical device software at the initial level of development of the software.

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Section: Methodsmentioning

confidence: 99%

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

Algarni¹,

Ahmad²,

Attaallah³

et al. 2020

IJIES

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“…In 2006, authors determined that the most significant resources for context modeling are found in the ontology-based models [11]. The study listed six criteria that would be best for context modeling and these six were: richness and quality of information, distributed composition, level of formality, incompleteness, and ambiguity, partial validation and applicability to existing environments [12][13][14][15]. In addition, the study analyzed the markup scheme, key-value, logic-based, graphical, and object-oriented models.…”

Section: Proposed Methods 21 Needs and Significancementioning

confidence: 99%

“…Hence, it is significant to deliberate it in the preparation of the ontology-based context model [22]. -Security Error: Security error is a noticeable fault during the development of software that may become the cause of a future software weakness [12]. In our ontology, a software security error can be: -Design Flaw: Design flaw is an unsuitable logical judgment at the design level.…”

Section: B Production Practicesmentioning

confidence: 99%

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Ontology-based context-sensitive software security knowledge management modeling

Alenezi¹

2020

IJECE

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The disconcerting increase in the number of security attacks on software calls for an imminent need for including secure development practices within the software development life cycle. The software security management system has received considerable attention lately and various efforts have been made in this direction. However, security is usually only considered in the early stages of the development of software. Thus, this leads to stating other vulnerabilities from a security perspective. Moreover, despite the abundance of security knowledge available online and in books, the systems that are being developed are seldom sufficiently secure. In this paper, we have highlighted the need for including application context sensitive modeling within a case-based software security management system. Furthermore, we have taken the context-driven and ontology-based frameworks and prioritized their attributes according to their weights which were achieved by using the Fuzzy AHP methodology.

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“…This paper covers the previous trends and attributes of malware attacks on the healthcare services and then tries to provide some significant factors with the help of experts' opinion that are affecting the healthcare organizations rapidly [16]. The article will also provide a scientific analysis of those factors through the hybrid approach of fuzzy AHP-TOPSIS methodology [17,18]. Fuzzy AHP-TOPSIS methodology is a pre-verified and old scientific multi criteria decision making technique that gives accurate as well as effective results in multi criteria decision situation [19][20][21].…”

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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A Knowledge-Based Integrated System of Hesitant Fuzzy Set, AHP and TOPSIS for Evaluating Security-Durability of Web Applications

Cited by 57 publications

References 26 publications

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

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

Ontology-based context-sensitive software security knowledge management modeling

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

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