Cybersecurity Awareness Modeling Associated with Influential Factors Using AHP Technique: A Case of Railway Organizations in Thailand

Ungkap, Pana; Daengsi, Therdpong

doi:10.1109/dasa54658.2022.9765092

Cited by 5 publications

(2 citation statements)

References 11 publications

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“…Similarly, Alghamdi [27] conducted a case study in Saudi Arabia to find out the effect of cybersecurity awareness on worker behavior with the temperance impact of cybersecurity policy awareness level. Likewise, Ungkap and Daengsi [28] proposed an approach to find out and assess the important factors that affect cybersecurity awareness of the internet users. They considered Thailand railway organization users to detect and evaluate the factors connected to cybersecurity awareness of the users successfully.…”

Section: Motivation and Related Workmentioning

confidence: 99%

Cybersecurity Awareness and Training (CAT) Framework for Remote Working Employees

Hijji

Alam

2022

Sensors

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Currently, cybersecurity plays an essential role in computing and information technology due to its direct effect on organizations’ critical assets and information. Cybersecurity is applied using integrity, availability, and confidentiality to protect organizational assets and information from various malicious attacks and vulnerabilities. The COVID-19 pandemic has generated different cybersecurity issues and challenges for businesses as employees have become accustomed to working from home. Firms are speeding up their digital transformation, making cybersecurity the current main concern. For software and hardware systems protection, organizations tend to spend an excessive amount of money procuring intrusion detection systems, antivirus software, antispyware software, and encryption mechanisms. However, these solutions are not enough, and organizations continue to suffer security risks due to the escalating list of security vulnerabilities during the COVID-19 pandemic. There is a thriving need to provide a cybersecurity awareness and training framework for remote working employees. The main objective of this research is to propose a CAT framework for cybersecurity awareness and training that will help organizations to evaluate and measure their employees’ capability in the cybersecurity domain. The proposed CAT framework will assist different organizations in effectively and efficiently managing security-related issues and challenges to protect their assets and critical information. The developed CAT framework consists of three key levels and twenty-five core practices. Case studies are conducted to evaluate the usefulness of the CAT framework in cybersecurity-based organizational settings in a real-world environment. The case studies’ results showed that the proposed CAT framework can identify employees’ capability levels and help train them to effectively overcome the cybersecurity issues and challenges faced by the organizations.

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Section: Motivation and Related Workmentioning

confidence: 99%

Cybersecurity Awareness and Training (CAT) Framework for Remote Working Employees

Hijji

Alam

2022

Sensors

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“…Second, research on the use of the analytical hierarchy process (AHP) to solve multicriteria decision-making (MCDM) problems in the context of cybersecurity in smart grids is relatively limited, as AHP is not commonly associated with cybersecurity specifically. However, AHP is a widely used decision-making tool that can be applied to various domains-such as renewable energy integration [88], the performance of residential energy management control algorithms [89], a day-ahead scheduling of electric vehicles and electrical storage systems in smart homes [90], optimization of the advanced metering infrastructure (AMI) customer ecosystem [91], including cybersecurity [92,93]. Therefore, the optimal cybersecurity options for smart grids, such as access control, authentication, encryption, intrusion detection systems (IDS), firewalls, security information and event management (SIEM), and others, need to be evaluated based on multiple criteria.…”

Section: Knowledge Gapsmentioning

confidence: 99%

Cyberattacks in Smart Grids: Challenges and Solving the Multi-Criteria Decision-Making for Cybersecurity Options, Including Ones That Incorporate Artificial Intelligence, Using an Analytical Hierarchy Process

Bouramdane

2023

JCP

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Smart grids have emerged as a transformative technology in the power sector, enabling efficient energy management. However, the increased reliance on digital technologies also exposes smart grids to various cybersecurity threats and attacks. This article provides a comprehensive exploration of cyberattacks and cybersecurity in smart grids, focusing on critical components and applications. It examines various cyberattack types and their implications on smart grids, backed by real-world case studies and quantitative models. To select optimal cybersecurity options, the study proposes a multi-criteria decision-making (MCDM) approach using the analytical hierarchy process (AHP). Additionally, the integration of artificial intelligence (AI) techniques in smart-grid security is examined, highlighting the potential benefits and challenges. Overall, the findings suggest that “security effectiveness” holds the highest importance, followed by “cost-effectiveness”, “scalability”, and “Integration and compatibility”, while other criteria (i.e., “performance impact”, “manageability and usability”, “compliance and regulatory requirements”, “resilience and redundancy”, “vendor support and collaboration”, and “future readiness”) contribute to the evaluation but have relatively lower weights. Alternatives such as “access control and authentication” and “security information and event management” with high weighted sums are crucial for enhancing cybersecurity in smart grids, while alternatives such as “compliance and regulatory requirements” and “encryption” have lower weighted sums but still provide value in their respective criteria. We also find that “deep learning” emerges as the most effective AI technique for enhancing cybersecurity in smart grids, followed by “hybrid approaches”, “Bayesian networks”, “swarm intelligence”, and “machine learning”, while “fuzzy logic”, “natural language processing”, “expert systems”, and “genetic algorithms” exhibit lower effectiveness in addressing smart-grid cybersecurity. The article discusses the benefits and drawbacks of MCDM-AHP, proposes enhancements for its use in smart-grid cybersecurity, and suggests exploring alternative MCDM techniques for evaluating security options in smart grids. The approach aids decision-makers in the smart-grid field to make informed cybersecurity choices and optimize resource allocation.

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Comparative Phishing Attack Simulations: A Case Study of Critical Information Infrastructure Organization Using Two Different Contents

Sirawongphatsara,

Prachayagringkai,

Pornpongtechavanich

et al. 2023

2023 10th International Conference on Electrical Engineering, Computer Science and Informatics (EECSI)

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Cybersecurity Awareness Modeling Associated with Influential Factors Using AHP Technique: A Case of Railway Organizations in Thailand

Cited by 5 publications

References 11 publications

Cybersecurity Awareness and Training (CAT) Framework for Remote Working Employees

Cybersecurity Awareness and Training (CAT) Framework for Remote Working Employees

Cyberattacks in Smart Grids: Challenges and Solving the Multi-Criteria Decision-Making for Cybersecurity Options, Including Ones That Incorporate Artificial Intelligence, Using an Analytical Hierarchy Process

Comparative Phishing Attack Simulations: A Case Study of Critical Information Infrastructure Organization Using Two Different Contents

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