Cybersecurity Risk Assessment for Insurance in Thailand using Bayesian Network Model

Jeamaon, Aomduan; Khemapatapan, Chaiyaporn

doi:10.1109/ectidamtncon53731.2022.9720387

Cited by 2 publications

(2 citation statements)

References 3 publications

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“…The urgent implementation of technology brought other risks such as cybersecurity. The diversity and scope of technology available and used by the small business highlighted that there must be a clear understanding of the risks and a multifaceted strategy is required to manage the environment (Aomduan & Chaiyaporn, 2022;Griffy-Brown et al, 2021;Laurent et al, 2022).…”

Section: Literature Reviewmentioning

confidence: 99%

Black Sme’s and Covid-19: A South African Perspective on Risks in the Automotive Industry and Why Those Risks Should Be Managed

Peterson,

Chinyamurindi

2024

JoM SME's

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The research identifies risks (and response to this) that Black-owned Small and Medium Enterprises (SMEs) in the automotive industry face in South Africa. The context is a business environment affected by the COVID-19 pandemic. Semi-structured interviews were used for the study with a sample of 11 businesses (6 micro-businesses and 5 small businesses). All the businesses were based either in the Gauteng Province or Eastern Cape Province of South Africa. Thematic analysis was used to analyze the collected data. The findings highlight the vulnerability of Black SMEs in the face of the Covid-19 pandemic through a set of factors inherent in the business environment. The participating Black SMEs narrated their response to the shocks created by the identified set of factors. The findings of the study provide vital information for policymakers, business leaders, and other stakeholders, to create contingencies, policies, and frameworks necessary to support small businesses. Keywords: Small Business; Risk; Covid-19; Automotive Industry

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Section: Literature Reviewmentioning

confidence: 99%

Black Sme’s and Covid-19: A South African Perspective on Risks in the Automotive Industry and Why Those Risks Should Be Managed

Peterson,

Chinyamurindi

2024

JoM SME's

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“…The Bayesian Network Model used by [15] can model Conditional Probability based on hazards, peril, and impact from cyber-attacks. Risk level impact based on nine cyber-attacks illustrated in Figure 2.…”

Section: Contamination Of Third-party Datamentioning

confidence: 99%

An Active Cyber Insurance Policy Against Cybersecurity Risks Using Fuzzy Q-Learning

Ramli

2023

ARASET

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Insurance is an extremely diversified from one clear-cut policy to another depending on a rising demand. Internet based businesses are a booming industry and falls under categories of small, medium and enterprise. It is no exception that cybersecurity risks are exponentially presents as a continues fears in this business environment. To ensure this insecurity is handled effectively, cyber insurance policies introduced by insurance companies. However, the nature of cyber risks must be addressed in much more robust and complex algorithms. Autonomic computing with the combination of Fuzzy and Q-Learning is introduced to ensure active policies are ready to handle the uncertainty and together with the ability to learn and mitigate the unrest situation.

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Cybersecurity Risk Assessment for Insurance in Thailand using Bayesian Network Model

Cited by 2 publications

References 3 publications

Black Sme’s and Covid-19: A South African Perspective on Risks in the Automotive Industry and Why Those Risks Should Be Managed

Black Sme’s and Covid-19: A South African Perspective on Risks in the Automotive Industry and Why Those Risks Should Be Managed

An Active Cyber Insurance Policy Against Cybersecurity Risks Using Fuzzy Q-Learning

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