{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2024:HP54K5ZB5MV6D24O35RRZ5UTK6","short_pith_number":"pith:HP54K5ZB","schema_version":"1.0","canonical_sha256":"3bfbc57721eb2be1eb8edf631cf69357aaeee0da2566c5823746dc7952425189","source":{"kind":"arxiv","id":"2412.10553","version":1},"attestation_state":"computed","paper":{"title":"Edge AI-based Radio Frequency Fingerprinting for IoT Networks","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.AI","cs.CR","cs.NI","eess.SP"],"primary_cat":"cs.LG","authors_text":"Ahmed Mohamed Hussain, Nada Abughanam, Panos Papadimitratos","submitted_at":"2024-12-13T20:55:10Z","abstract_excerpt":"The deployment of the Internet of Things (IoT) in smart cities and critical infrastructure has enhanced connectivity and real-time data exchange but introduced significant security challenges. While effective, cryptography can often be resource-intensive for small-footprint resource-constrained (i.e., IoT) devices. Radio Frequency Fingerprinting (RFF) offers a promising authentication alternative by using unique RF signal characteristics for device identification at the Physical (PHY)-layer, without resorting to cryptographic solutions. The challenge is two-fold: how to deploy such RFF in a la"},"verification_status":{"content_addressed":true,"pith_receipt":true,"author_attested":false,"weak_author_claims":0,"strong_author_claims":0,"externally_anchored":false,"storage_verified":false,"citation_signatures":0,"replication_records":0,"graph_snapshot":true,"references_resolved":false,"formal_links_present":false},"canonical_record":{"source":{"id":"2412.10553","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2024-12-13T20:55:10Z","cross_cats_sorted":["cs.AI","cs.CR","cs.NI","eess.SP"],"title_canon_sha256":"3677ea90a736c5752302dc81444214d6813b7a2ac443178bee0d440b89167dd9","abstract_canon_sha256":"9e47122752a2669e5969038bea32d27ac2ff00ccfb2a2dc170b5d55839f11a4d"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T09:49:17.712658Z","signature_b64":"gNNbboYnCozRc/aJlQ9PUROpqn4xgYqYpWo/L9IvLfrmC1Cl3cljCjjGehUNEDXt2AUPwe6L0+Ce2xEZEXCdDg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"3bfbc57721eb2be1eb8edf631cf69357aaeee0da2566c5823746dc7952425189","last_reissued_at":"2026-07-05T09:49:17.712222Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T09:49:17.712222Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Edge AI-based Radio Frequency Fingerprinting for IoT Networks","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.AI","cs.CR","cs.NI","eess.SP"],"primary_cat":"cs.LG","authors_text":"Ahmed Mohamed Hussain, Nada Abughanam, Panos Papadimitratos","submitted_at":"2024-12-13T20:55:10Z","abstract_excerpt":"The deployment of the Internet of Things (IoT) in smart cities and critical infrastructure has enhanced connectivity and real-time data exchange but introduced significant security challenges. While effective, cryptography can often be resource-intensive for small-footprint resource-constrained (i.e., IoT) devices. Radio Frequency Fingerprinting (RFF) offers a promising authentication alternative by using unique RF signal characteristics for device identification at the Physical (PHY)-layer, without resorting to cryptographic solutions. The challenge is two-fold: how to deploy such RFF in a la"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2412.10553","kind":"arxiv","version":1},"verdict":{"id":null,"model_set":{},"created_at":null,"strongest_claim":"","one_line_summary":"","pipeline_version":null,"weakest_assumption":"","pith_extraction_headline":""},"integrity":{"clean":true,"summary":{"advisory":0,"critical":0,"by_detector":{},"informational":0},"endpoint":"/pith/2412.10553/integrity.json","findings":[],"available":true,"detectors_run":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938"},"references":{"count":0,"sample":[],"resolved_work":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","internal_anchors":0},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"author_claims":{"count":0,"strong_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"builder_version":"pith-number-builder-2026-05-17-v1"},"aliases":[{"alias_kind":"arxiv","alias_value":"2412.10553","created_at":"2026-07-05T09:49:17.712273+00:00"},{"alias_kind":"arxiv_version","alias_value":"2412.10553v1","created_at":"2026-07-05T09:49:17.712273+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2412.10553","created_at":"2026-07-05T09:49:17.712273+00:00"},{"alias_kind":"pith_short_12","alias_value":"HP54K5ZB5MV6","created_at":"2026-07-05T09:49:17.712273+00:00"},{"alias_kind":"pith_short_16","alias_value":"HP54K5ZB5MV6D24O","created_at":"2026-07-05T09:49:17.712273+00:00"},{"alias_kind":"pith_short_8","alias_value":"HP54K5ZB","created_at":"2026-07-05T09:49:17.712273+00:00"}],"events":[],"event_summary":{},"paper_claims":[],"inbound_citations":{"count":1,"internal_anchor_count":1,"sample":[{"citing_arxiv_id":"2505.10273","citing_title":"AttentionGuard: Transformer-based Misbehavior Detection for Secure Vehicular Platoons","ref_index":10,"is_internal_anchor":true}]},"formal_canon":{"evidence_count":0,"sample":[],"anchors":[]},"links":{"html":"https://pith.science/pith/HP54K5ZB5MV6D24O35RRZ5UTK6","json":"https://pith.science/pith/HP54K5ZB5MV6D24O35RRZ5UTK6.json","graph_json":"https://pith.science/api/pith-number/HP54K5ZB5MV6D24O35RRZ5UTK6/graph.json","events_json":"https://pith.science/api/pith-number/HP54K5ZB5MV6D24O35RRZ5UTK6/events.json","paper":"https://pith.science/paper/HP54K5ZB"},"agent_actions":{"view_html":"https://pith.science/pith/HP54K5ZB5MV6D24O35RRZ5UTK6","download_json":"https://pith.science/pith/HP54K5ZB5MV6D24O35RRZ5UTK6.json","view_paper":"https://pith.science/paper/HP54K5ZB","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2412.10553&json=true","fetch_graph":"https://pith.science/api/pith-number/HP54K5ZB5MV6D24O35RRZ5UTK6/graph.json","fetch_events":"https://pith.science/api/pith-number/HP54K5ZB5MV6D24O35RRZ5UTK6/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/HP54K5ZB5MV6D24O35RRZ5UTK6/action/timestamp_anchor","attest_storage":"https://pith.science/pith/HP54K5ZB5MV6D24O35RRZ5UTK6/action/storage_attestation","attest_author":"https://pith.science/pith/HP54K5ZB5MV6D24O35RRZ5UTK6/action/author_attestation","sign_citation":"https://pith.science/pith/HP54K5ZB5MV6D24O35RRZ5UTK6/action/citation_signature","submit_replication":"https://pith.science/pith/HP54K5ZB5MV6D24O35RRZ5UTK6/action/replication_record"}},"created_at":"2026-07-05T09:49:17.712273+00:00","updated_at":"2026-07-05T09:49:17.712273+00:00"}