Quality Dimensions for Automatic Assessment of Structured Cyber Threat Intelligence Data
Cyber threat intelligence (CTI) has emerged as a promising approach to mitigating the effect of malicious activities. However, the potential usability of CTI data depends largely on their quality. The available CTI data quality assessment methods are either not fully automatic or deliver just a few...
Saved in:
| Main Authors: | Algimantas Venčkauskas, Vacius Jusas, Dominykas Barisas |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2025-04-01
|
| Series: | Applied Sciences |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2076-3417/15/8/4327 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Real-Time Automated Cyber Threat Classification and Emerging Threat Detection Framework
by: Alemayehu Tilahun Haile, et al.
Published: (2025-01-01) -
SISTEM DETEKSI AKTIVITAS BERBAHAYA PADA SERVER MENGGUNAKAN CROWDSEC
by: Muhammad Arif Fadhly Ridha, et al.
Published: (2025-06-01) -
Proactive Cyber Resilience: A Unified Assessment Methodology for Incident Forecasting With Cyber Threat Intelligence Integration
by: Hayat Abdulla Asad Cue, et al.
Published: (2025-01-01) -
Federated Conditional Variational Auto Encoders for Cyber Threat Intelligence: Tackling Non-IID Data in SDN Environments
by: Syed Hussain Ali Kazmi, et al.
Published: (2025-01-01) -
CYBER THREAT INTELLIGENCE AND INFORMATION SHARING IN CLOUD ECOSYSTEMS
by: Ankur Mahida, et al.
Published: (2025-03-01)