Rethinking Tamper-Evident Logging: A High-Performance, Co-Designed Auditing System
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Abstract (arXiv)
Existing tamper-evident logging systems suffer from high overhead and severe data loss in high-load settings, yet only provide coarse-grained tamper detection. Moreover, installing such systems requires recompiling kernel code. To address these challenges, we present Nitro, a high-performance, tamper-evident audit logging system that supports fine-grained detection of log tampering. Even better, our system avoids kernel recompilation by using the eBPF technology. To formally justify the security of Nitro, we provide a new definitional framework for logging systems, and give a practical cryptographic construction meeting this new goal. Unlike prior work that focus only on the cryptographic processing, we codesign the cryptographic part with the pre- and post-processing of the logs to exploit all system-level optimizations. Our evaluations demonstrate Nitro's superior performance, achieving 10X-25X improvements in high-stress conditions and 2X-10X in real-world scenarios while maintaining near-zero data loss. We also provide an advanced variant, Nitro-R that introduces in-kernel log reduction techniques to reduce runtime overhead even further.
Key facts. Cited by 4 papers in the map (data through 14 Oct 2026). First posted on arXiv 4 Sep 2025.
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Citing papers per year: 2025: 1; 2026: 3.
4 papers.
- 2025Trusted AI Agents in the Cloudcited by 6
- 2026Agent Flight Recorder: Tamper-Evident Audit Trails with On-Chain Anchoring for Long-Horizon Tool-Using Agentscited by 2
- 2026Agent Harness Distillation: Inference-Time Harness Extraction and Exploitation in Autonomous Multi-Agent Systemscited by 1
- 2026The Acknowledgment Point Is the System: Durable Policy-Decision Receipts for AI Audit Evidencecited by 0
- 2026Agent Flight Recorder: Tamper-Evident Audit Trails with On-Chain Anchoring for Long-Horizon Tool-Using Agents1 Sep 2026
- 2026The Acknowledgment Point Is the System: Durable Policy-Decision Receipts for AI Audit Evidence17 Aug 2026
- 2026Agent Harness Distillation: Inference-Time Harness Extraction and Exploitation in Autonomous Multi-Agent Systems30 Jul 2026
- 2025Trusted AI Agents in the Cloud5 Dec 2025