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Systematic Review: eBPF Security Mechanisms Across 54 Studies (2018-2026)
- Engineer — Learn: A thorough taxonomy of eBPF security applications across DDoS, container, and microservice domains with benchmarked overhead (median 2.4% CPU); useful for evaluating eBPF-based tooling or informing system design, but the notable finding that 96.2% of surveyed research ignores eBPF’s own attack surface is worth factoring into adoption decisions.
- SOC/IR — Learn: Provides a structured overview of eBPF’s role in intrusion detection and real-time packet inspection with high reported accuracy (94-99%), which is useful background when evaluating eBPF-backed EDR or detection tools, though there are no actionable IOCs or detection content here.
- Leader — Skip
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