Revisiting Software Reliability

Sahu, Kavita; Srivastava, R. Κ.

doi:10.1007/978-981-13-1402-5_17

Cited by 59 publications

(56 citation statements)

References 23 publications

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“…In this paper, the authors have postulated a framework for security of the third party software of medical imaging devices by using Fuzzy ANP-TOPSIS methodology. Security assessment of third party software component goal is divided into criteria, sub-criteria, and alternatives [15,19]. All of these have been explained in section-III in this paper and in Fig.…”

Section: Discussionmentioning

confidence: 99%

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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: Discussionmentioning

confidence: 99%

“…The reason behind it is the denial of service attacks, information leaks and logical flaws in the device. We used Fuzzy ANP-TOPSIS methods for assessing the software security in medical device provided by the medical device manufacturers and third party software providers [14,15].…”

Section: Literature Reviewmentioning

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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“…Interrelation between software security management and context-driven ontologies Figure 1 shows the relationship between software security management, context-driven ontology, and ontology for security management. The concept of ontology plays an important role in the semantic web and particularly in universal computing and next-generation mobile communication systems [16][17][18][19][20]. Ontology can provide a better way of creating associations.…”

Section: Proposed Methods 21 Needs and Significancementioning

confidence: 99%

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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“…As per the findings of the authors, statistics and data show that research trends are focusing on the security aspect of the web, Android and other relevant areas of computer. For example, Brandon Amos et al has proposed a technique by combining machine learning and dynamic analysis approach for better detection of malware online [47,[72][73][74].…”

Section: Security Will Remain a Strong Focus For Malware Analysismentioning

confidence: 99%

Malware Analysis in Web Application Security: An Investigation and Suggestion

Pandey¹,

Alsolami²

2020

IJACSA

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Malware analysis is essentially used for the identification of malware and its objectives. However, the present era has seen the process of malware analysis being used for enhancing security methods for different domains of technology. This study has attempted to analyze the current situation and status of malware analysis in web application security through some objectives. These objectives helps the authors to analyze the purpose, used methodology of malware analysis in web application security previously as well as authors select and find a prioritized technique of malware analysis through a hybrid multi criteria decision making procedure called fuzzy-Analytical Hierarchy Process. This fuzzy-AHP methodology helps the authors to find and recommend a most prioritized malware analysis techniques and type as well as suggest a ranking of various malware analysis techniques that used in web application security frequently for experts and developers use. Furthermore, second section of paper forecast the attack statistics and publication statistics of malwares and malware analysis in web application security respectively for understanding the sensitivity of topic and need of investigation. The proposed tactic intends to be an effective reckoner for web developers and facilitate in malware analysis for securing web applications. Additionally, the study also forecast the publication and attack scenario of malware and malware analysis for web application security that gives a complimentary overview of domain.

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Revisiting Software Reliability

Cited by 59 publications

References 23 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

Malware Analysis in Web Application Security: An Investigation and Suggestion

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