Cyber Security Risk Management Strategy for VG Trading Company

This chapter is about a new security risk management strategy for financial services institutions. The proper strategy presented here takes the systematic and cybernetics theory as the instruction, regards the risk analysis process, the management strategy implementation, and the monitor and audit as an organic security management system. Thus the strategy is an auto adapted open system to defeat various safety threats dynamically. By comparing management of electronic commerce (e-commerce) security risks with that of traditional financial risks, this chapter suggests accurate security risk measurement using quantitative analysis and further integration of the e-commerce security risk with traditional financial risks.

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IoT Security Risk Management Strategy Reference Model (IoTSRM2)

Future Internet ◽

10.3390/fi13060148 ◽

2021 ◽

Vol 13 (6) ◽

pp. 148

Author(s):

Traian Mihai Popescu ◽

Alina Madalina Popescu ◽

Gabriela Prostean

Keyword(s):

Risk Management ◽

Management Strategy ◽

Reference Model ◽

Management Strategies ◽

Critical Evaluation ◽

Security Risk ◽

Risk Management Strategy ◽

Iot Security ◽

Risk Management Strategies ◽

Security Risk Management

Nowadays, Internet of Things (IoT) adoptions are burgeoning and deemed the lynchpin towards achieving ubiquitous connectivity. In this context, defining and leveraging robust IoT security risk management strategies are paramount for secure IoT adoptions. Thus, this study aims to support IoT adopters from any sector to formulate or reframe their IoT security risk management strategies to achieve robust strategies that effectively address IoT security issues. In a nutshell, this article relies on a mixed methods research methodology and proposes a reference model for IoT security risk management strategy. The proposed IoT security risk management strategy reference model (IoTSRM2) relies on the 25 selected IoT security best practices which are outlined using a proposed taxonomic hierarchy, and on the proposed three-phased methodology that consists of nine steps and outputs. The main contribution of this work is the proposed IoTSRM2 which consists of six domains, 16 objectives, and 30 prioritized controls. Furthermore, prior to providing the related work, this article provides a critical evaluation of selected informative references of IoTSRM2 based on their percentage-wise linkage to the IoTSRM2 domains and to the entire IoTSRM2. The findings of the critical evaluation illustrate, inter alia, the selected informative references that are the top three most and least linked to the entire IoTSRM2.

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The Rigorous Security Risk Management Model

Global Business Expansion ◽

10.4018/978-1-5225-5481-3.ch060 ◽

2018 ◽

pp. 1299-1317

Author(s):

Neila Rjaibi ◽

Latifa Ben Arfa Rabai

Keyword(s):

Risk Management ◽

Cyber Security ◽

Linear Models ◽

Management Model ◽

Security Risk ◽

Security Threat ◽

Risk Management Process ◽

Failure Cost ◽

The Mean ◽

Security Risk Management

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.

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Introducing Hilbert Space and Quantum Cognition to Cyber Security Risk Management

Letters of the IEEE Computer Society ◽

10.1109/locs.2019.2963875 ◽

2020 ◽

Vol 3 (1) ◽

pp. 1-4

Author(s):

Fariborz Farahmand

Keyword(s):

Hilbert Space ◽

Risk Management ◽

Cyber Security ◽

Security Risk ◽

Quantum Cognition ◽

Security Risk Management

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A Study on Cyber Security Risk Management for Diffusion of Korean Smart Factories

The Journal of Korean Institute of Communications and Information Sciences ◽

10.7840/kics.2018.43.10.1741 ◽

2018 ◽

Vol 43 (10) ◽

pp. 1741-1750

Author(s):

Song-ha Lee ◽

Hyo-Jung Jun ◽

Tae-Sung Kim

Keyword(s):

Risk Management ◽

Cyber Security ◽

Security Risk ◽

Security Risk Management ◽

Smart Factories

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Real-Time Cyber Security Risk Management

ITNOW ◽

10.1093/itnow/bwv097 ◽

2015 ◽

Vol 57 (4) ◽

pp. 26-27 ◽

Cited By ~ 1

Author(s):

S. Marvell

Keyword(s):

Risk Management ◽

Real Time ◽

Cyber Security ◽

Security Risk ◽

Security Risk Management

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The Rigorous Security Risk Management Model

Cyber Security and Threats ◽

10.4018/978-1-5225-5634-3.ch024 ◽

2018 ◽

pp. 452-470

Author(s):

Neila Rjaibi ◽

Latifa Ben Arfa Rabai

Keyword(s):

Risk Management ◽

Cyber Security ◽

Linear Models ◽

Management Model ◽

Security Risk ◽

Security Threat ◽

Risk Management Process ◽

Failure Cost ◽

The Mean ◽

Security Risk Management

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.

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The Mean Failure Cost Cybersecurity Model to Quantify Security in E-Learning Environments

Developing Successful Strategies for Global Policies and Cyber Transparency in E-Learning - Advances in Educational Marketing, Administration, and Leadership ◽

10.4018/978-1-4666-8844-5.ch007 ◽

2016 ◽

pp. 95-120

Author(s):

Neila Rjaibi ◽

Latifa Ben Arfa Rabai ◽

Ali Mili

Keyword(s):

Risk Management ◽

Cyber Security ◽

Learning Systems ◽

Security Requirements ◽

Security Threats ◽

Security Risk ◽

Failure Cost ◽

E Learning ◽

The Mean ◽

Security Risk Management

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.

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