How do detection strategies for DoS attacks differ from those for DDoS attacks?

Detection for DoS attacks often involves monitoring for unusually high traffic from a single IP address or subnet, or a sudden spike in requests to a specific service. Simple threshold-based alerts on network devices or intrusion detection systems (IDS) can often identify these. DDoS detection is far more complex, requiring sophisticated algorithms that can identify abnormal traffic patterns across multiple sources. This involves analyzing traffic volume, connection rates, packet characteristics, and geographical origins to distinguish legitimate traffic spikes from a malicious distributed attack. Machine learning and behavioral analytics are increasingly employed for advanced DDoS detection.