The MFC cybersecurity model extension and diagnostic toward a depth measurement: E-learning systems case study

Neila Rjaibi, Latifa Ben Arfa Rabai, Ali Mili

Research output: Chapter in Book/Report/Conference proceedingChapter

Abstract

This chapter presents a quantitative security risk management cybersecurity measure namely the Mean Failure Cost (MFC). We illustrate it to quantify the security of an e-Learning application while taking account of its respective stakeholders, security requirements, architectural components and the complete list of security threats. Moreover, in the mean time, security requirements are considered as appropriate mechanisms for preventing, detecting and recovering security attacks, for this reason an extension of the MFC measure is presented in order to detect the most critical security requirements to support the quantitative decision-making. Our focus is widespread to offer a diagnostic of the non secure system's problems and a depth insight interpretation about critical requirements, critical threats and critical components. This extension is beneficial and opens a wide range of possibilities for further economics based analysis. Also this chapter highlights the security measures for controlling e-Learning security problems regarding the most critical security requirements.

Original languageEnglish (US)
Title of host publicationAchieving Enterprise Agility through Innovative Software Development
PublisherIGI Global
Pages179-198
Number of pages20
ISBN (Electronic)9781466685116
ISBN (Print)1466685107, 9781466685109
DOIs
StatePublished - Aug 7 2015

All Science Journal Classification (ASJC) codes

  • Computer Science(all)

Fingerprint Dive into the research topics of 'The MFC cybersecurity model extension and diagnostic toward a depth measurement: E-learning systems case study'. Together they form a unique fingerprint.

Cite this