Architectural Invariant Design: eBPF XDP Line-Rate Stateful DDoS Quarantine and Pre-SKB Shedding
eBPF XDP Line-Rate Stateful DDoS Quarantine and Pre-SKB Shedding defines an industrial-grade behavioral standard for security engineering. Enforces pre-allocation packet filtering directly in the network driver RX ring buffer via eBPF XDP (eXpress Data Path). Eliminates Linux kernel socket buffer (sk_buff) allocation overhead and ksoftirqd CPU starvation under high-throughput Layer-4 amplification floods by tracking state inside LRU per-CPU maps and shedding malicious flows with XDP_DROP before kernel stack ingress. Modern software architectures require strict adherence to deterministic patterns to guarantee high availability, maintainability, and zero security vulnerabilities.
Hazard Analysis: What Breaks Without This Rule
The following failure modes have been cataloged from hundreds of hours of production code reviews where AI assistants produced non-compliant implementations:
| Failure Mode | AI Symptom (The Anti-Pattern) | Severity | Production Impact & Remedy |
|---|---|---|---|
| AI Hallucination & Deprecation Drift | Deferring Volumetric Mitigation to Netfilter or Using Unbounded BPF Maps In Ingress Pipeline | Critical | Violating this industrial standard introduces regression bugs, security risks, and unexpected runtime failures in production. Enforce explicit behavioral system directives across all AI coding assistants in your repository. |
| Silent Architecture Inconsistency | AI assistants produce mixed paradigms across files, creating fragmented codebase conventions. | Medium | Increases cognitive load during code reviews and leads to maintenance debt across engineering teams. Pin project conventions in .cursor/rules, CLAUDE.md, and AGENTS.md so all team agents follow identical guardrails. |
Step-by-Step Production Directives
Each rule constraint below is injected into the AI agent's system prompt to establish deterministic boundaries:
Engineers MUST ALWAYS execute volumetric packet dropping within native driver-mode XDP (XDP_DRV) before memory allocation for struct sk_buff occurs.
Engineers MUST ALWAYS execute volumetric packet dropping within native driver-mode XDP (XDP_DRV) before memory allocation for struct sk_buff occurs.
Engineers MUST verify packet boundaries (data + offset > data_end) before dereferencing any byte in Ethernet, IPv4, IPv6, UDP, or TCP headers to satisfy the BPF verifier.
Engineers MUST verify packet boundaries (data + offset > data_end) before dereferencing any byte in Ethernet, IPv4, IPv6, UDP, or TCP headers to satisfy the BPF verifier.
Engineers MUST NOT use BPF_MAP_TYPE_HASH with standard spinlocks on line-rate hot paths
Engineers MUST NOT use BPF_MAP_TYPE_HASH with standard spinlocks on line-rate hot paths; per-CPU hash maps (BPF_MAP_TYPE_PERCPU_HASH) or LRU maps (BPF_MAP_TYPE_LRU_HASH) MUST be utilized to prevent inter-core cache line bouncing.
Code MUST strictly validate L4 header length fields against total IP payload sizes to prevent malformed fragmentation bypasses.
Code MUST strictly validate L4 header length fields against total IP payload sizes to prevent malformed fragmentation bypasses.
Services MUST implement sliding-window rate limiters using hardware timestamping or bpf_ktime_get_ns() directly within the quarantine map entry.
Services MUST implement sliding-window rate limiters using hardware timestamping or bpf_ktime_get_ns() directly within the quarantine map entry.
Components NEVER fall back to XDP_PASS when a flow exceeds stateful burst thresholds
Components NEVER fall back to XDP_PASS when a flow exceeds stateful burst thresholds; packets meeting quarantine criteria MUST yield XDP_DROP.
Frequently Asked Technical Questions
Common questions developers face when configuring AI coding assistants for this stack:
Q:Why is eBPF XDP Line-Rate Stateful DDoS Quarantine and Pre-SKB Shedding critical for AI coding assistants?
Enforces pre-allocation packet filtering directly in the network driver RX ring buffer via eBPF XDP (eXpress Data Path). Eliminates Linux kernel socket buffer (sk_buff) allocation overhead and ksoftirqd CPU starvation under high-throughput Layer-4 amplification floods by tracking state inside LRU per-CPU maps and shedding malicious flows with XDP_DROP before kernel stack ingress. Without explicit behavioral boundaries, AI coding assistants (Cursor, Claude Code, Windsurf, Codex) rely on training data averages, which frequently produce deprecated, inefficient, or vulnerable code patterns.
Q:How does adopting this rule prevent AI hallucinations?
This rule explicitly declares what the AI must avoid (Deferring Volumetric Mitigation to Netfilter or Using Unbounded BPF Maps In Ingress Pipeline) and prescribes verified positive examples. Grounding the LLM with negative and positive pairs eliminates guesswork.
Q:Which AI coding environments are supported?
This specification is multi-platform compatible: Cursor (.cursor/rules/*.mdc & .cursorrules), Anthropic Claude Code (CLAUDE.md), Windsurf (.windsurfrules), Codex / Cline (AGENTS.md), and GitHub Copilot (.github/copilot-instructions.md).
Q:Can I combine this rule with other technology stacks?
Yes. Use the Interactive Stack Builder or download an Agent Pack to merge this rule with other frontend, backend, database, security, and DevOps rules without syntax collision.