scholarly journals A Fog-based Cyber Security Risk Management System using Bayesian Games

2021 ◽  
Vol 7 (35) ◽  
pp. 1-8
Author(s):  
Akinwunmi D.A. ◽  
Gabriel A.J. ◽  
Oluwadare S.A. ◽  
Akinyede R.O. ◽  
Alese B.K.
Author(s):  
Володимир Володимирович Мохор ◽  
Василь Васильович Цуркан ◽  
Ярослав Юрійович Дорогий ◽  
Ольга Миколаївна Крук

2018 ◽  
pp. 1299-1317
Author(s):  
Neila Rjaibi ◽  
Latifa Ben Arfa Rabai

This chapter presents the security concepts terminologies (threat, risk, security risk management, security risk management process, security threat model) and present the state of the art of security risk management models, compare and discuss strengths and weaknesses of such models. Then it presents the Mean Failure Cost (MFC) model for quantifying security threats as a rigorous measure of cyber security, and as a cascade of linear models in order to estimate the system security using the loss of a given stakeholders as a result of security breakdown. Finally it presents an overview of the applicability of the MFC measure to e-systems. In the conclusion, the chapter criticizes the MFC Cyber Security Measure and presents an overview of different perspectives.


ITNOW ◽  
2015 ◽  
Vol 57 (4) ◽  
pp. 26-27 ◽  
Author(s):  
S. Marvell

2018 ◽  
pp. 452-470
Author(s):  
Neila Rjaibi ◽  
Latifa Ben Arfa Rabai

This chapter presents the security concepts terminologies (threat, risk, security risk management, security risk management process, security threat model) and present the state of the art of security risk management models, compare and discuss strengths and weaknesses of such models. Then it presents the Mean Failure Cost (MFC) model for quantifying security threats as a rigorous measure of cyber security, and as a cascade of linear models in order to estimate the system security using the loss of a given stakeholders as a result of security breakdown. Finally it presents an overview of the applicability of the MFC measure to e-systems. In the conclusion, the chapter criticizes the MFC Cyber Security Measure and presents an overview of different perspectives.


Author(s):  
Neila Rjaibi ◽  
Latifa Ben Arfa Rabai ◽  
Ali Mili

This chapter presents an overview of security challenges in e-Learning systems, and discusses a recent review related research on security risk management approaches in e-Learning to give a proper context to our work. The literature review proves a lack in quantitative security risk management models applied to e-learning system and presents the strengths of the Mean Failure Cost model in quantifying security threats with a financial risk measure. Moreover, we focus on presenting security aspects of e-Learning applications, and analyze its respective stakeholders, security requirements, architectural components and threats. The Mean Failure Cost (MFC) cyber security measure suitable for e-Learning systems is defined and computed. We adapt it to quantify security threats and risk within e-learning systems. It is based on the identification of system's architecture, the well-defined classes of stakeholders, the list of possible threats and vulnerabilities and the specific security requirements related to e-Learning systems and applications.


Author(s):  
Neila Rjaibi ◽  
Latifa Ben Arfa Rabai

This chapter presents the security concepts terminologies (threat, risk, security risk management, security risk management process, security threat model) and present the state of the art of security risk management models, compare and discuss strengths and weaknesses of such models. Then it presents the Mean Failure Cost (MFC) model for quantifying security threats as a rigorous measure of cyber security, and as a cascade of linear models in order to estimate the system security using the loss of a given stakeholders as a result of security breakdown. Finally it presents an overview of the applicability of the MFC measure to e-systems. In the conclusion, the chapter criticizes the MFC Cyber Security Measure and presents an overview of different perspectives.


Author(s):  
Robert Oates ◽  
Victor Malysz ◽  
Robert Melville

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