E-Learning and Information Security Management

Alwi, Najwa Hayaati Mohd; Fan, Ip‐Shing

doi:10.20533/ijds.2040.2570.2010.0019

Cited by 46 publications

(19 citation statements)

References 9 publications

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“…The on-line learning management systems or e-learning systems are adopted but without a thorough understanding of the security aspects [29]. Bloggers, practitioners and researchers did not discuss the security as a big issue.…”

Section: Formulation Of the Fsrm Modelmentioning

confidence: 99%

“…3. For the functional components we have studied five primaries inspired by the qualitative risk analysis model [29] which are as the following: virtual library, on-line course administration, course management, registration and communications tool ( Table 1). 4.…”

Section: Formulation Of the Fsrm Modelmentioning

confidence: 99%

“…Indeed, they are threatened by a variety of vulnerabilities attacking examination, certification and privacy. It is strongly recommended to quantify the security and compromised risk of e-learning environments [21,29]. This paper is organized as follows.…”

Section: Introductionmentioning

confidence: 99%

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How Stakeholders Perceived Security Risks? A New Predictive Functional Level Model and its Application to E-Learning

Rjaibi¹,

Rabai²

2018

ICST Transactions on Security and Safety

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A new predictive functional level security risk management model is proposed in order to quantify the security level perception and the level of risk involved. It helps in defining the assets, measuring economically the risk, managing the risk toward decisions making. It is out of implementation and based on a functional level architecture. The paper defines a simple predictive model, it relies on a few number of inputs which form the system's security specifications and provides one output which is the average loss per unit of time ($/H) incurred by a stakeholder as a result of security threats. The obtained values represent how stakeholders perceived economically security risks and predict how it will change over time to implement in advance the needed security strategies. Our model is useful in any security context. We report it in practice originally to the level of e-Learning systems for current architectures because they lack a common measurable value and evidence of cyber security. Our model assists security experts from the early phases of system's development to implement future safe and secure platforms.

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Section: Formulation Of the Fsrm Modelmentioning

confidence: 99%

Section: Formulation Of the Fsrm Modelmentioning

confidence: 99%

See 1 more Smart Citation

How Stakeholders Perceived Security Risks? A New Predictive Functional Level Model and its Application to E-Learning

Rjaibi¹,

Rabai²

2018

ICST Transactions on Security and Safety

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“…As risk management models, we mention, the Single Loss Expectancy (SLE) [6], the Mean Failure Cost (MFC) [1,7] The Bayesian Defense Graphs and Architectural Models [14], the Availability, Integrity, Confidentiality and Authentication (AICA), the improving web application security model (IWAS) and AURUM [5] Ideally, information security will be enhanced by quantitative risk analyses [12,13] in different cases, it is difficult to exclude the risk but it can be reduced, then the assessment result is useful for future business decisions [18]. However, quantifying security is a hard task and it is harder when the related system is complex [21].…”

Section: Introductionmentioning

confidence: 99%

“…Our contribution can be generalized to other practical esystems because according to [18] an E-learning systems share similar characteristics with other e-services. These are the accessibility of service via the internet, the consumption of services by a person via the internet and the payment of a service by the consumer.…”

mentioning

confidence: 99%

Maximizing Security Management Performance and Decisions with the MFC Cyber Security Model: e- learning case study

Rjaibi¹,

Rabai²

2017

EAI Endorsed Transactions on e-Learning

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The Mean failure Cost (MFC) is a cascade of linear models that quantify security threats by taking into consideration the system's stakeholders, security requirements, architectural components and threats. This quantitative cyber security model monetizes system's security in terms of cost which may be lost due to security failure. The lack of quantitative security models in security decision making is a way to discover strengths and uniqueness of the MFC cyber security model. This paper intends to extend this measure into a security risk management model for ultra large systems and to exploit the previously presented MFC model's characteristics in security decision making relying on a rigorous and quantifiable analysis of financial returns. In fact, we intend to provide a possible solution to security problems using the MFC model in order to set the highest security priorities and choose the suitable countermeasures as well as computing the profitability of the proposed security countermeasures through the Return on Investment (ROI) based on the MFC's values for each stakeholder. This will lead to monitoring the effectiveness of the proposed security countermeasures, ensuring the best solution choice by saving both time and money and providing a security decision maker with adequate justification to perform his security choice. The practical investigation is to be conducted thought the context of e-learning platforms.

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Global Triumph or Exploitation of Security and Privacy Concerns in E-Learning Systems

Munawar

Baadel

Haq³

2016

Global Security, Safety and Sustainability - The Security Challenges of the Connected World

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E-Learning and Information Security Management

Abstract: Abstract

Cited by 46 publications

References 9 publications

How Stakeholders Perceived Security Risks? A New Predictive Functional Level Model and its Application to E-Learning

How Stakeholders Perceived Security Risks? A New Predictive Functional Level Model and its Application to E-Learning

Maximizing Security Management Performance and Decisions with the MFC Cyber Security Model: e- learning case study

Global Triumph or Exploitation of Security and Privacy Concerns in E-Learning Systems

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