[HTML][HTML] Artificial intelligence for cybersecurity: Literature review and future research directions

R Kaur, D Gabrijelčič, T Klobučar - Information Fusion, 2023 - Elsevier
Artificial intelligence (AI) is a powerful technology that helps cybersecurity teams automate
repetitive tasks, accelerate threat detection and response, and improve the accuracy of their …

A typology of disinformation intentionality and impact

A French, VC Storey, L Wallace - Information Systems Journal, 2024 - Wiley Online Library
In contemporary society, the increased reliance on social media as a vital news source has
facilitated the spread of disinformation that has potential polarising effects. Disinformation …

Leveraging Deep Learning to Strengthen the Cyber-Resilience of Renewable Energy Supply Chains: A Survey

MN Halgamuge - IEEE Communications Surveys & Tutorials, 2024 - ieeexplore.ieee.org
Deep learning shows immense potential for strengthening the cyber-resilience of renewable
energy supply chains. However, research gaps in comprehensive benchmarks, real-world …

Risk-management framework and information-security systems for small and medium enterprises (SMES): A meta-analysis approach

K AL-Dosari, N Fetais - Electronics, 2023 - mdpi.com
Information-technology (IT) security standards are regularly updated in a rapidly changing
technological world to maintain pace with advanced technologies. This study was motivated …

Integrating business impact analysis and risk assessment for physical asset criticality analysis: A framework for sustainable operations in process industries

M Aghabegloo, K Rezaie, SA Torabi… - Expert Systems with …, 2024 - Elsevier
The paper tackles the issue of managing physical assets in asset-intensive industries, where
continuity plans are crucial for business operations during disruptions. However, resource …

A BIA-based quantitative framework for built physical asset criticality analysis under sustainability and resilience

M Aghabegloo, K Rezaie, SA Torabi, SM Khalili - Buildings, 2023 - mdpi.com
Asset-intensive industries, such as the construction industry, have experienced major
catastrophes that have led to significant operational disruptions. Physical asset failure has …

CyberTOMP: A novel systematic framework to manage asset-focused cybersecurity from tactical and operational levels

M Domínguez-Dorado, J Carmona-Murillo… - IEEE …, 2022 - ieeexplore.ieee.org
Currently different reference models are used to manage cybersecurity, although practically
none are applicable “as is” to lower levels as they do not detail specific procedural aspects …

How do organizations seek cyber assurance? Investigations on the adoption of the common criteria and beyond

N Sun, CT Li, H Chan, MZ Islam, MR Islam… - Ieee …, 2022 - ieeexplore.ieee.org
Cyber assurance, which is the ability to operate under the onslaught of cyber attacks and
other unexpected events, is essential for organizations facing inundating security threats on …

Minimally supervised learning using topological projections in self-organizing maps

Z Lyu, A Ororbia, R Li, T Desell - arXiv preprint arXiv:2401.06923, 2024 - arxiv.org
Parameter prediction is essential for many applications, facilitating insightful interpretation
and decision-making. However, in many real life domains, such as power systems …

Research Progress of Urban Park Microclimate Based on Quantitative Statistical Software

J Lin, Y Deng, S Chen, K Li, W Ji, W Li - Buildings, 2023 - mdpi.com
Urban parks, as an important component of urban green spaces, play a crucial role in
improving the urban environment and enhancing residents' quality of life. This review …