{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2023:GPHT7WLADUOWQIUNTQNT5WEVZX","merge_version":"pith-open-graph-merge-v1","event_count":2,"valid_event_count":2,"invalid_event_count":0,"equivocation_count":0,"current":{"canonical_record":{"metadata":{"abstract_canon_sha256":"1ec5aec63ba30d020376e6ce68d070e1d8553b873ef2c5fbd622667615d41048","cross_cats_sorted":["cs.IT","math.IT"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CR","submitted_at":"2023-05-16T18:45:34Z","title_canon_sha256":"aa8aad4e64240d4cdc0a4e62ce671ec3cdabf6c349159b830888ba1d6a80d20a"},"schema_version":"1.0","source":{"id":"2305.09748","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2305.09748","created_at":"2026-07-05T06:10:53Z"},{"alias_kind":"arxiv_version","alias_value":"2305.09748v1","created_at":"2026-07-05T06:10:53Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2305.09748","created_at":"2026-07-05T06:10:53Z"},{"alias_kind":"pith_short_12","alias_value":"GPHT7WLADUOW","created_at":"2026-07-05T06:10:53Z"},{"alias_kind":"pith_short_16","alias_value":"GPHT7WLADUOWQIUN","created_at":"2026-07-05T06:10:53Z"},{"alias_kind":"pith_short_8","alias_value":"GPHT7WLA","created_at":"2026-07-05T06:10:53Z"}],"graph_snapshots":[{"event_id":"sha256:3b2cb3042722ffdfe5d25ef4701399cebe81812a4bfec9ad2c1eb519581e3299","target":"graph","created_at":"2026-07-05T06:10:53Z","signer":{"key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signer_id":"pith.science","signer_type":"pith_registry"},"payload":{"graph_snapshot":{"author_claims":{"count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","strong_count":0},"builder_version":"pith-number-builder-2026-05-17-v1","claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"integrity":{"available":true,"clean":true,"detectors_run":[],"endpoint":"/pith/2305.09748/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Security at the physical layer (PHY) is a salient research topic in wireless systems, and machine learning (ML) is emerging as a powerful tool for providing new data-driven security solutions. Therefore, the application of ML techniques to the PHY security is of crucial importance in the landscape of more and more data-driven wireless services. In this context, we first summarize the family of bespoke ML algorithms that are eminently suitable for wireless security. Then, we review the recent progress in ML-aided PHY security, where the term \"PHY security\" is classified into two different types","authors_text":"Alireza Vahid, Hoang Duong Tuan, Lajos Hanzo, Tiep M. Hoang","cross_cats":["cs.IT","math.IT"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CR","submitted_at":"2023-05-16T18:45:34Z","title":"Physical Layer Authentication and Security Design in the Machine Learning Era"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2305.09748","kind":"arxiv","version":1},"verdict":{"created_at":null,"id":null,"model_set":{},"one_line_summary":"","pipeline_version":null,"pith_extraction_headline":"","strongest_claim":"","weakest_assumption":""}},"verdict_id":null}}],"author_attestations":[],"timestamp_anchors":[],"storage_attestations":[],"citation_signatures":[],"replication_records":[],"corrections":[],"mirror_hints":[],"record_created":{"event_id":"sha256:eefba90d9d14282b565bacae16557f9e0092dcabf93dd5585075eb1860cf97c5","target":"record","created_at":"2026-07-05T06:10:53Z","signer":{"key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signer_id":"pith.science","signer_type":"pith_registry"},"payload":{"attestation_state":"computed","canonical_record":{"metadata":{"abstract_canon_sha256":"1ec5aec63ba30d020376e6ce68d070e1d8553b873ef2c5fbd622667615d41048","cross_cats_sorted":["cs.IT","math.IT"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CR","submitted_at":"2023-05-16T18:45:34Z","title_canon_sha256":"aa8aad4e64240d4cdc0a4e62ce671ec3cdabf6c349159b830888ba1d6a80d20a"},"schema_version":"1.0","source":{"id":"2305.09748","kind":"arxiv","version":1}},"canonical_sha256":"33cf3fd9601d1d68228d9c1b3ed895cdc9f73c8a6fbfd1c5173df5217406a82f","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"33cf3fd9601d1d68228d9c1b3ed895cdc9f73c8a6fbfd1c5173df5217406a82f","first_computed_at":"2026-07-05T06:10:53.381456Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T06:10:53.381456Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"/21mDdrdlnZ7eefmCgsqE2YB7Ja4msJHn3UR7ZolYAyo1ca6nDNyFf6iyReCsDLpZjn1+AnzCPZFPF9YWrpoDg==","signature_status":"signed_v1","signed_at":"2026-07-05T06:10:53.381932Z","signed_message":"canonical_sha256_bytes"},"source_id":"2305.09748","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:eefba90d9d14282b565bacae16557f9e0092dcabf93dd5585075eb1860cf97c5","sha256:3b2cb3042722ffdfe5d25ef4701399cebe81812a4bfec9ad2c1eb519581e3299"],"state_sha256":"797e734ff738c5d05c3741b77b729d0b2f86639ba81c7b89f323b776e205a4fd"}