{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:TXZZG4OASSPBUJAKFLLOM7IXKQ","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":"59740442cc27891d730f6211519c663a906b6ad783916d2a18216693d0708a12","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.NI","submitted_at":"2025-09-13T17:28:17Z","title_canon_sha256":"44b75f78c6b826ea5987d3772121bb6f137a70106c82738aa5e380f907eda25b"},"schema_version":"1.0","source":{"id":"2509.10914","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2509.10914","created_at":"2026-07-05T12:11:30Z"},{"alias_kind":"arxiv_version","alias_value":"2509.10914v1","created_at":"2026-07-05T12:11:30Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2509.10914","created_at":"2026-07-05T12:11:30Z"},{"alias_kind":"pith_short_12","alias_value":"TXZZG4OASSPB","created_at":"2026-07-05T12:11:30Z"},{"alias_kind":"pith_short_16","alias_value":"TXZZG4OASSPBUJAK","created_at":"2026-07-05T12:11:30Z"},{"alias_kind":"pith_short_8","alias_value":"TXZZG4OA","created_at":"2026-07-05T12:11:30Z"}],"graph_snapshots":[{"event_id":"sha256:2a0d8aa804635fd0d6092590214fdd704f51ac342610512a4e9b17e692c5ea2a","target":"graph","created_at":"2026-07-05T12:11:30Z","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/2509.10914/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Collaboration opportunities for devices are facilitated with Federated Learning (FL). Edge computing facilitates aggregation at edge and reduces latency. To deal with model poisoning attacks, model-based outlier detection mechanisms may not operate efficiently with hetereogenous models or in recognition of complex attacks. This paper fosters the defense line against model poisoning attack by exploiting device-level traffic analysis to anticipate the reliability of participants. FL is empowered with a topology mutation strategy, as a Moving Target Defence (MTD) strategy to dynamically change th","authors_text":"JaeSeung Song, Jari Iinatti, Somayeh Kianpisheh, Tarik Taleb","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.NI","submitted_at":"2025-09-13T17:28:17Z","title":"Deep Learning based Moving Target Defence for Federated Learning against Poisoning Attack in MEC Systems with a 6G Wireless Model"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2509.10914","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":"sha256:0b1d47c5ece695882c2cf89986cf26867c5a8d635347bb17a5b509bbeff0e2bd","target":"record","created_at":"2026-07-05T12:11:30Z","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":"59740442cc27891d730f6211519c663a906b6ad783916d2a18216693d0708a12","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.NI","submitted_at":"2025-09-13T17:28:17Z","title_canon_sha256":"44b75f78c6b826ea5987d3772121bb6f137a70106c82738aa5e380f907eda25b"},"schema_version":"1.0","source":{"id":"2509.10914","kind":"arxiv","version":1}},"canonical_sha256":"9df39371c0949e1a240a2ad6e67d17543b5215a2258d0400d1d829095a310527","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"9df39371c0949e1a240a2ad6e67d17543b5215a2258d0400d1d829095a310527","first_computed_at":"2026-07-05T12:11:30.304454Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T12:11:30.304454Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"fCcAO51djQqz0ox49YldFmaMY66D9S4IR54sQrX88bpHGvOPk/spBckIThBa8+oik62N+7v2qZEUJlixTNDMBA==","signature_status":"signed_v1","signed_at":"2026-07-05T12:11:30.304856Z","signed_message":"canonical_sha256_bytes"},"source_id":"2509.10914","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:0b1d47c5ece695882c2cf89986cf26867c5a8d635347bb17a5b509bbeff0e2bd","sha256:2a0d8aa804635fd0d6092590214fdd704f51ac342610512a4e9b17e692c5ea2a"],"state_sha256":"2f4f011eb5a491b2f9ee438295eb5172b853e9b3df986a852fd1e0bfdeefec70"}