Learn how DDoS attacks work and how systems defend against them.
19 modules · 152 lessons
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Volume, protocol, and application-layer pressures differ in symptoms and mitigations—naming them correctly speeds response.
Filtering, rate limits, and upstream coordination buy time while teams identify root causes.
Latency spikes, queue depth, and error budgets often reveal stress before users flood support channels.
Graceful degradation and failover paths reduce downtime when edges absorb unexpected traffic.
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Understanding Denial of Service, attack types, and impact on services.
TCP/IP, HTTP, DNS, and how protocols relate to DDoS attacks.
Volumetric, protocol, and application-layer attack types.
Understanding attack tools for defensive and educational purposes.
Measuring downtime, revenue loss, and business impact.
TCP handshake exploitation, half-open connections, and SYN cookies.
DNS, NTP, Memcached amplification and reflection attacks.
Application-layer attacks, slowloris, and request flooding.
Botnet architecture, C2, and distributed attack coordination.
Traffic analysis, anomaly detection, and baseline establishment.
Rate limiting, blackholing, scrubbing, and traffic filtering.
Cloudflare, Akamai, and edge-based DDoS mitigation.
Redundancy, failover, and resilient infrastructure design.
Playbooks, escalation, and real-time response procedures.
Laws, regulations, and ethical boundaries in DDoS research.
ML-based detection, behavioral analysis, and adaptive defense.
Legitimate load testing, chaos engineering, and capacity planning.
Attack attribution, log analysis, and post-incident investigation.
Multi-layer defense, hybrid solutions, and managed services.
8 lessons·Beginner · Level 1
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