How does AI detect and mitigate DDoS attacks by analyzing traffic patterns and identifying malicious activity?
What is the role of AI in detecting and mitigating distributed denial-of-service (DDoS) attacks?
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AI can detect and mitigate DDoS attacks by continuously monitoring network traffic patterns and identifying abnormal activities that are indicative of a DDoS attack. Through machine learning algorithms and AI models, the system can learn the normal behavior of the network and distinguish it from suspicious traffic patterns associated with DDoS attacks. Once such patterns are detected, AI can automatically take actions to mitigate the attack by rerouting traffic, implementing filtering rules, or scaling resources to handle the increased load. This proactive approach allows AI to respond to DDoS attacks in real-time, minimizing their impact on the network.