{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:ZWG6V4O3UXEBEFG36L4B2O5R3Y","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":"c19d97d9513cf4a71bbabe29a05871c0b25954bf0be54d378219de0141ab7198","cross_cats_sorted":["cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CR","submitted_at":"2025-02-10T23:20:59Z","title_canon_sha256":"8345d01a5aa9878a9e6bf156deb783063af51cae566d12777169de704e2bfd16"},"schema_version":"1.0","source":{"id":"2502.07119","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2502.07119","created_at":"2026-07-05T10:12:33Z"},{"alias_kind":"arxiv_version","alias_value":"2502.07119v1","created_at":"2026-07-05T10:12:33Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2502.07119","created_at":"2026-07-05T10:12:33Z"},{"alias_kind":"pith_short_12","alias_value":"ZWG6V4O3UXEB","created_at":"2026-07-05T10:12:33Z"},{"alias_kind":"pith_short_16","alias_value":"ZWG6V4O3UXEBEFG3","created_at":"2026-07-05T10:12:33Z"},{"alias_kind":"pith_short_8","alias_value":"ZWG6V4O3","created_at":"2026-07-05T10:12:33Z"}],"graph_snapshots":[{"event_id":"sha256:f42886fc8b10d455886151fa9d339978556cb095c837d8034b999c9fe7304221","target":"graph","created_at":"2026-07-05T10:12:33Z","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/2502.07119/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"The proliferation of IoT devices has significantly increased network vulnerabilities, creating an urgent need for effective Intrusion Detection Systems (IDS). Machine Learning-based IDS (ML-IDS) offer advanced detection capabilities but rely on labeled attack data, which limits their ability to identify unknown threats. Self-Supervised Learning (SSL) presents a promising solution by using only normal data to detect patterns and anomalies. This paper introduces SAFE, a novel framework that transforms tabular network intrusion data into an image-like format, enabling Masked Autoencoders (MAEs) t","authors_text":"Elvin Li, Onat Gungor, Tajana Rosing, Zhengli Shang","cross_cats":["cs.LG"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CR","submitted_at":"2025-02-10T23:20:59Z","title":"SAFE: Self-Supervised Anomaly Detection Framework for Intrusion Detection"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2502.07119","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":"sha256:27fde0f153f9c6436bb6a484ec8dbb332958b679fcc23cb3453cc04960331c99","target":"record","created_at":"2026-07-05T10:12:33Z","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":"c19d97d9513cf4a71bbabe29a05871c0b25954bf0be54d378219de0141ab7198","cross_cats_sorted":["cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CR","submitted_at":"2025-02-10T23:20:59Z","title_canon_sha256":"8345d01a5aa9878a9e6bf156deb783063af51cae566d12777169de704e2bfd16"},"schema_version":"1.0","source":{"id":"2502.07119","kind":"arxiv","version":1}},"canonical_sha256":"cd8deaf1dba5c81214dbf2f81d3bb1de2534e460762955a1e5ea337fbaf94bf1","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"cd8deaf1dba5c81214dbf2f81d3bb1de2534e460762955a1e5ea337fbaf94bf1","first_computed_at":"2026-07-05T10:12:33.136958Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T10:12:33.136958Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"jR1MjFSdNRKZLMjdAagFKGJiiUFSjvhLbMtZBfSHI014YLzWVIHC3mipT/hYXRNmeCENeJR2oAC9MNEo1DzjAg==","signature_status":"signed_v1","signed_at":"2026-07-05T10:12:33.137477Z","signed_message":"canonical_sha256_bytes"},"source_id":"2502.07119","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:27fde0f153f9c6436bb6a484ec8dbb332958b679fcc23cb3453cc04960331c99","sha256:f42886fc8b10d455886151fa9d339978556cb095c837d8034b999c9fe7304221"],"state_sha256":"250d6d0b4e9032e6070fbfecfb79a5dad97ff065e08426afc5fd1bb895305607"}