We need the modifiable, reproducible, and extensible dataset to learn and tackle sophisticated attackers who can easily bypass basic intrusion detection systems (IDS). This is where machine learning comes into play.
Read full article on Dzone
Evaluation of ML Algorithms for Intrusion Detection Systems
Date:
Categorie(s):
Tag(s):
- Scumbag puts ‘stolen’ Nokia source code, SSH and RSA keys, more up for sale
- Canada arrests suspected hacker over breach of 160+ Snowflake users’ data
- Cyberthreats linked to foreign actors aim to hinder Election Day proceedings
- DocuSign’s API used to lure victims into e-signing fake invoices
- Schneider Electric ransomware crew demands $125k paid in baguettes