Identifying potential DDoS cases based on ASN with KQL Queries

Identifying potential DDoS cases based on ASN with KQL Queries

DDoS attacks flood systems with excessive requests, causing service disruption, and monitoring Autonomous System Numbers (ASNs) helps identify malicious activity. Effective mitigation involves redirecting traffic based on ASN reputation to maintain service performance and resilience. #DDoS #AutonomousSystemNumbers

Keypoints

  • DDoS attacks overwhelm systems by flooding them with requests from external sources.
  • Using ASN and ISP data as indicators can help detect suspicious and malicious activity.
  • Blocking entire ASNs isn’t always practical; redirecting traffic to isolated backends is more effective.
  • Monitoring connection patterns and anomalies at the ASN level enhances attack detection.
  • Proactive traffic segmentation based on ASN reputation helps maintain service quality during attacks.

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