Modeling Software Vulnerability Injection-Discovery Process Incorporating Time-Delay and VIKOR Based Ranking

Mohini Agarwal (), Deepti Aggrawal (), Subhrata Das (), Adarsh Anand () and Navneet Bhatt ()
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Mohini Agarwal: Amity School of Business, Amity University Uttar Pradesh
Deepti Aggrawal: University School of Management and Entrepreneurship, Delhi Technological University
Subhrata Das: University of Delhi
Adarsh Anand: University of Delhi
Navneet Bhatt: SVKM’s Narsee Monjee Institute of Management Studies (Deemed to be University)

A chapter in Reliability and Maintainability Assessment of Industrial Systems, 2022, pp 239-256 from Springer

Abstract: Abstract Researchers have widely focused on catering software quality attributes viz. reliability and maintainability. However, the reliance on software and software-based products have redirected the focus of researchers/ engineers towards security. The vulnerability in software can be due to design flaws, implementation errors, configuration errors, etc., making it prone to attacks and can be used for malicious activities. Timely detection and fixation of these loopholes can enhance the development of safe and secure software thereby minimizing the efforts and resources required to fix them afterwards. With the aim of modeling the discovery process of vulnerability, in this chapter time delay-based formulation for vulnerability injection and discovery has been proposed which has been modeled by considering the infinite server queuing theory. For the empirical validation two vulnerability discovery data has been used. Further VIKOR, a well-known Multi Criteria Decision Making (MCDM) technique has been used to rank the different proposed models.

Keywords: Discovery; Injection; Security breaching; VIKOR; Vulnerability (search for similar items in EconPapers)
Date: 2022
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Persistent link: https://EconPapers.repec.org/RePEc:spr:ssrchp:978-3-030-93623-5_10

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DOI: 10.1007/978-3-030-93623-5_10

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