CAMASA: A CAM-based Dataset from the MASA Living Lab

2026-06-10T07:23:56Zc788a37cb54314b357fefa985a1e9c2fd1f32b386a808b3255ea315b765f59ee
CAM/DENM datasetCAMASACoAPDDoSDNS-privacyIntel TofinoIoTLLM-XAIP4P4TGSafecloudV2XXDP-edge-mitigation','ASTRA-sim','distributed-ML-simulation','IQconvergent-encryptiondeduplicationeBPFencrypted-storageexplainabilitymicroburstnetwork-testingoptical-networkssiamese-networktraffic-generatortrajectory-predictionzero-day-detection

What happened

This collection of recent networking and systems papers covers datasets, traffic-generation, detection, privacy, secure storage, simulation, and explainability for modern networked systems. Key items: CAMASA — a large (40M CAMs, 2M DENMs) V2X dataset with pseudonym reconciliation for trajectory prediction and ITS digital twins; P4TG extension — a P4/Tofino data-plane mechanism to generate periodic, time-varying traffic patterns (including microbursts and DDoS-like loads) up to 4 Tbit/s that can evade conventional rate monitors; a Siamese zero-day anomaly detector for optical networks achieving

Why it matters

A reviewed impact interpretation has not been published for this record.

Evidence and limitations

Source ID
arxiv_cs_ni
Record identifier
c788a37cb54314b357fefa985a1e9c2fd1f32b386a808b3255ea315b765f59ee
Enrichment time
2026-06-10T07:23:56Z
AI-assisted enrichment
Yes

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