Ransomware Detection Using Aggregated Random Forest Technique with Recent Variants
The increasing sophistication and frequency of ransomware attacks have posed significant challenges to existing cybersecurity measures, highlighting the need for more effective detection techniques. A novel approach is presented that leverages an aggr
Authors
- Julian Rafapa
- Arthur Konokix
Institutions
- Emera (Canada) (CA)
Publication Details
- Published
- 2024-08-21
- DOI
- https://doi.org/10.22541/au.172426891.14153527/v1
- Citations
- 4
- Primary Topic
- Advanced Malware Detection Techniques
- Type
- article
- Field-Weighted Citation Impact
- 1.40