AI and Machine Learning: Essential shields against DDoS attacks
Distributed Denial of Service (DDoS) attacks have become a major threat to businesses and websites worldwide. These attacks aim to render a service unavailable by overwhelming a target system with a massive flood of Internet traffic. Detecting and preventing these attacks requires advanced technologies and robust solutions. This is where artificial intelligence (AI) and machine learning play a crucial role. We explore how these innovative technologies help detect and prevent DDoS attacks.
What is a DDoS attack?
A DDoS attack occurs when several compromised systems, often computers or other devices connected to the Internet, are used to flood the bandwidth or resources of a target server.
Types of DDoS attacks
Volume attacks, Protocol attacks and Application attacks
The role of AI in detecting DDoS attacks
AI enables advanced behavioral analysis, capable of distinguishing legitimate from malicious traffic.
