{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2026:LE4AUF5GTF23BMQWRJC3PXFTEV","short_pith_number":"pith:LE4AUF5G","schema_version":"1.0","canonical_sha256":"59380a17a69975b0b2168a45b7dcb32569179e4241de09f252a137c0a5525124","source":{"kind":"arxiv","id":"2606.11803","version":1},"attestation_state":"computed","paper":{"title":"SwarmSense-DNN: A Trustworthy and Decentralized Neural Framework for Proactive Anomaly Defense in Consumer IoT","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.NI"],"primary_cat":"cs.CR","authors_text":"Chunhong Yuan, Jing Yang, Lip Yee Por, Mohamed Kallel, Saad Arif, Vijay Govindarajan, Xu Xu, Zaffar Ahmed Shaikh, Zhe Liu","submitted_at":"2026-06-10T08:35:31Z","abstract_excerpt":"The rapid growth of consumer IoT devices has introduced unprecedented challenges in trustworthy anomaly detection against AI-enabled cyber threats, requiring real-time, privacy-preserving, and scalable defense mechanisms. Traditional centralized strategies face critical limitations, including communication bottlenecks, single points of failure, and privacy vulnerabilities when processing distributed consumer data. We propose SwarmSense-DNN, a novel decentralized neural framework employing swarm intelligence for secure, cooperative anomaly detection across distributed IoT environments. The fram"},"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":"2606.11803","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CR","submitted_at":"2026-06-10T08:35:31Z","cross_cats_sorted":["cs.NI"],"title_canon_sha256":"721e2a7e933a69bba62102a0b6134f0179d4e7be1713b9bc6914d2ff04506dab","abstract_canon_sha256":"274e9b99a913b35ca446b42dfe01e8d2779d9213ca7266bcfb63bf42478ef406"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-06-11T01:10:08.878735Z","signature_b64":"XifWBl2FftdmHE53GCBjz7vTCgNkQYBfYGXLlhPQB8MnPc+mYVygqoMD32It9N6xq6O3zGZu5lylQnH/J3IxBQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"59380a17a69975b0b2168a45b7dcb32569179e4241de09f252a137c0a5525124","last_reissued_at":"2026-06-11T01:10:08.877873Z","signature_status":"signed_v1","first_computed_at":"2026-06-11T01:10:08.877873Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"SwarmSense-DNN: A Trustworthy and Decentralized Neural Framework for Proactive Anomaly Defense in Consumer IoT","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.NI"],"primary_cat":"cs.CR","authors_text":"Chunhong Yuan, Jing Yang, Lip Yee Por, Mohamed Kallel, Saad Arif, Vijay Govindarajan, Xu Xu, Zaffar Ahmed Shaikh, Zhe Liu","submitted_at":"2026-06-10T08:35:31Z","abstract_excerpt":"The rapid growth of consumer IoT devices has introduced unprecedented challenges in trustworthy anomaly detection against AI-enabled cyber threats, requiring real-time, privacy-preserving, and scalable defense mechanisms. Traditional centralized strategies face critical limitations, including communication bottlenecks, single points of failure, and privacy vulnerabilities when processing distributed consumer data. We propose SwarmSense-DNN, a novel decentralized neural framework employing swarm intelligence for secure, cooperative anomaly detection across distributed IoT environments. The fram"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2606.11803","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/2606.11803/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":"2606.11803","created_at":"2026-06-11T01:10:08.878031+00:00"},{"alias_kind":"arxiv_version","alias_value":"2606.11803v1","created_at":"2026-06-11T01:10:08.878031+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2606.11803","created_at":"2026-06-11T01:10:08.878031+00:00"},{"alias_kind":"pith_short_12","alias_value":"LE4AUF5GTF23","created_at":"2026-06-11T01:10:08.878031+00:00"},{"alias_kind":"pith_short_16","alias_value":"LE4AUF5GTF23BMQW","created_at":"2026-06-11T01:10:08.878031+00:00"},{"alias_kind":"pith_short_8","alias_value":"LE4AUF5G","created_at":"2026-06-11T01:10:08.878031+00:00"}],"events":[],"event_summary":{},"paper_claims":[],"inbound_citations":{"count":0,"internal_anchor_count":0,"sample":[]},"formal_canon":{"evidence_count":0,"sample":[],"anchors":[]},"links":{"html":"https://pith.science/pith/LE4AUF5GTF23BMQWRJC3PXFTEV","json":"https://pith.science/pith/LE4AUF5GTF23BMQWRJC3PXFTEV.json","graph_json":"https://pith.science/api/pith-number/LE4AUF5GTF23BMQWRJC3PXFTEV/graph.json","events_json":"https://pith.science/api/pith-number/LE4AUF5GTF23BMQWRJC3PXFTEV/events.json","paper":"https://pith.science/paper/LE4AUF5G"},"agent_actions":{"view_html":"https://pith.science/pith/LE4AUF5GTF23BMQWRJC3PXFTEV","download_json":"https://pith.science/pith/LE4AUF5GTF23BMQWRJC3PXFTEV.json","view_paper":"https://pith.science/paper/LE4AUF5G","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2606.11803&json=true","fetch_graph":"https://pith.science/api/pith-number/LE4AUF5GTF23BMQWRJC3PXFTEV/graph.json","fetch_events":"https://pith.science/api/pith-number/LE4AUF5GTF23BMQWRJC3PXFTEV/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/LE4AUF5GTF23BMQWRJC3PXFTEV/action/timestamp_anchor","attest_storage":"https://pith.science/pith/LE4AUF5GTF23BMQWRJC3PXFTEV/action/storage_attestation","attest_author":"https://pith.science/pith/LE4AUF5GTF23BMQWRJC3PXFTEV/action/author_attestation","sign_citation":"https://pith.science/pith/LE4AUF5GTF23BMQWRJC3PXFTEV/action/citation_signature","submit_replication":"https://pith.science/pith/LE4AUF5GTF23BMQWRJC3PXFTEV/action/replication_record"}},"created_at":"2026-06-11T01:10:08.878031+00:00","updated_at":"2026-06-11T01:10:08.878031+00:00"}