[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 …

CRUSOE: A toolset for cyber situational awareness and decision support in incident handling

M Husák, L Sadlek, S Špaček, M Laštovička… - Computers & …, 2022 - Elsevier
The growing size and complexity of today's computer network make it hard to achieve and
maintain so-called cyber situational awareness, ie, the ability to perceive and comprehend …

'We Do Not Have the Capacity to Monitor All Media': A Design Case Study on Cyber Situational Awareness in Computer Emergency Response Teams

MA Kaufhold, T Riebe, M Bayer, C Reuter - Proceedings of the CHI …, 2024 - dl.acm.org
Computer Emergency Response Teams (CERTs) provide advisory, preventive and reactive
cybersecurity services for authorities, citizens, and businesses. However, their responsibility …

Anomaly Detection for Space Information Networks: A Survey of Challenges, Schemes, and Recommendations

A Diro, S Kaisar, AV Vasilakos, A Anwar, A Nasirian… - 2023 - dro.deakin.edu.au
Space anomaly detection is of paramount importance in ensuring the safety and reliability of
space systems, particularly in the face of increasing threats. This comprehensive survey …

A Multi-Feature Fusion and Situation Awareness-Based Method for Fatigue Driving Level Determination

FF Wei, T Chi, X Chen - Electronics, 2023 - mdpi.com
The detection and evaluation of fatigue levels in drivers play a crucial role in reducing traffic
accidents and improving the overall quality of life. However, existing studies in this domain …

Enhancing Security in Cloud Computing Using Artificial Intelligence (AI)

D Stutz, JT de Assis, AA Laghari… - … Analytics and Cyber …, 2024 - Wiley Online Library
Cloud computing (CC) technologies (viz artificial intelligence (AI), data science,
blockchain,“big data”(BD), etc.) are progressively widespread and practically applied …

MULTI-CASE: A Transformer-based Ethics-aware Multimodal Investigative Intelligence Framework

MT Fischer, Y Metz, L Joos, M Miller… - arXiv preprint arXiv …, 2024 - arxiv.org
AI-driven models are increasingly deployed in operational analytics solutions, for instance,
in investigative journalism or the intelligence community. Current approaches face two …

Multiscale geovisual analysis of knowledge innovation patterns using big scholarly data

C Zuo, L Ding, Z Yang, L Meng - Annals of GIS, 2022 - Taylor & Francis
Knowledge innovation is a key factor in industrial development and regional economic
growth. Understanding regional knowledge innovation and its dynamic changes is one of …

Mod2Dash: A framework for model-driven dashboards generation

L Jiang, NK Tran, M Ali Babar - Proceedings of the ACM on Human …, 2022 - dl.acm.org
The construction of an interactive dashboard involves deciding on what information to
present and how to display it and implementing those design decisions to create an …

A Multi-Feature Fusion and Situation Awareness-Based Method for Fatigue Driving Level Determination

W Fei-Fei, T Chi, X Chen - Electronics, 2023 - search.proquest.com
The detection and evaluation of fatigue levels in drivers play a crucial role in reducing traffic
accidents and improving the overall quality of life. However, existing studies in this domain …