StormShield: Fingerprint-Based Detection and Mitigation of RRC Signaling Storms in O-RAN 5G RANs
2026-05-15T07:23:59Z•fb17b51328f69e043bee3d7bd3b6e5e5cf1646bf7805fbdb24d73969bb3b6a58
5GCSICSI-JEPADTNDenial-of-ServiceEMAI2PICSIIoTO-RANOpenAirInterfaceRRC signaling stormSBFDSDRWirelessSenseLLManonymitydarknet traffic analysis','botnet','IDS evasion','micro-pacing'model adaptationnear-RT RICprivacyreinforcement learningself-supervised learningtsunami warningwireless sensingxApp
What happened
Collection of networking and security research (multiple arXiv submissions) covering 5G/O-RAN signaling DoS and a practical mitigation (StormShield), wireless sensing (zero-shot CSI→language and self-supervised CSI representations), predictive resource allocation for Sub-Band Full Duplex, geographic analysis of I2P peer selection, DTN assessment for tsunami warnings, model adaptation for learning-based systems (EMA), characterization of evolving AI-assisted darknet bot traffic and ICS/IIoT targeting, a quantum-network entanglement resource framework, and a tutorial on cognitive biases in agent
Why it matters
A reviewed impact interpretation has not been published for this record.
Evidence and limitations
- Source ID
- arxiv_cs_ni
- Record identifier
- fb17b51328f69e043bee3d7bd3b6e5e5cf1646bf7805fbdb24d73969bb3b6a58
- Enrichment time
- 2026-05-15T07:23:59Z
- AI-assisted enrichment
- Yes
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