{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2023:P6YJBA7WJA7RYQ4A3MZIK5ZMN6","short_pith_number":"pith:P6YJBA7W","schema_version":"1.0","canonical_sha256":"7fb09083f6483f1c4380db3285772c6f9d714f4b6f635bc2ae150fe22a5dcba5","source":{"kind":"arxiv","id":"2311.02929","version":1},"attestation_state":"computed","paper":{"title":"SoK: Evaluations in Industrial Intrusion Detection Research","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.CR","authors_text":"Eric Wagner, Jan Bauer, Jan Pennekamp, Klaus Wehrle, Konrad Wolsing, Martin Henze, Olav Lamberts","submitted_at":"2023-11-06T07:49:58Z","abstract_excerpt":"Industrial systems are increasingly threatened by cyberattacks with potentially disastrous consequences. To counter such attacks, industrial intrusion detection systems strive to timely uncover even the most sophisticated breaches. Due to its criticality for society, this fast-growing field attracts researchers from diverse backgrounds, resulting in 130 new detection approaches in 2021 alone. This huge momentum facilitates the exploration of diverse promising paths but likewise risks fragmenting the research landscape and burying promising progress. Consequently, it needs sound and comprehensi"},"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":"2311.02929","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CR","submitted_at":"2023-11-06T07:49:58Z","cross_cats_sorted":[],"title_canon_sha256":"4b8acaca7ff6872303940a82508a1f23b2c3ad4b74878e3265934a3f64451640","abstract_canon_sha256":"b75474188feccef484aff06888063df5aa67adec90699ff344c1cc5a19928534"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T07:09:19.839004Z","signature_b64":"kLTs2/cPSjya1wZkYdlZczSa1uDL8Ylty4M+zDqzwR+qF4ErnIhTCTO1VB25CcWXJoFZdxkFCC0sJH+BowETAw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"7fb09083f6483f1c4380db3285772c6f9d714f4b6f635bc2ae150fe22a5dcba5","last_reissued_at":"2026-07-05T07:09:19.838580Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T07:09:19.838580Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"SoK: Evaluations in Industrial Intrusion Detection Research","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.CR","authors_text":"Eric Wagner, Jan Bauer, Jan Pennekamp, Klaus Wehrle, Konrad Wolsing, Martin Henze, Olav Lamberts","submitted_at":"2023-11-06T07:49:58Z","abstract_excerpt":"Industrial systems are increasingly threatened by cyberattacks with potentially disastrous consequences. To counter such attacks, industrial intrusion detection systems strive to timely uncover even the most sophisticated breaches. Due to its criticality for society, this fast-growing field attracts researchers from diverse backgrounds, resulting in 130 new detection approaches in 2021 alone. This huge momentum facilitates the exploration of diverse promising paths but likewise risks fragmenting the research landscape and burying promising progress. Consequently, it needs sound and comprehensi"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2311.02929","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/2311.02929/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":"2311.02929","created_at":"2026-07-05T07:09:19.838640+00:00"},{"alias_kind":"arxiv_version","alias_value":"2311.02929v1","created_at":"2026-07-05T07:09:19.838640+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2311.02929","created_at":"2026-07-05T07:09:19.838640+00:00"},{"alias_kind":"pith_short_12","alias_value":"P6YJBA7WJA7R","created_at":"2026-07-05T07:09:19.838640+00:00"},{"alias_kind":"pith_short_16","alias_value":"P6YJBA7WJA7RYQ4A","created_at":"2026-07-05T07:09:19.838640+00:00"},{"alias_kind":"pith_short_8","alias_value":"P6YJBA7W","created_at":"2026-07-05T07:09:19.838640+00:00"}],"events":[],"event_summary":{},"paper_claims":[],"inbound_citations":{"count":1,"internal_anchor_count":0,"sample":[{"citing_arxiv_id":"2606.30493","citing_title":"Between Zeros and Ones: Behavioral Characterization Beyond Binary Labeling Across Public ICS Datasets","ref_index":12,"is_internal_anchor":false}]},"formal_canon":{"evidence_count":0,"sample":[],"anchors":[]},"links":{"html":"https://pith.science/pith/P6YJBA7WJA7RYQ4A3MZIK5ZMN6","json":"https://pith.science/pith/P6YJBA7WJA7RYQ4A3MZIK5ZMN6.json","graph_json":"https://pith.science/api/pith-number/P6YJBA7WJA7RYQ4A3MZIK5ZMN6/graph.json","events_json":"https://pith.science/api/pith-number/P6YJBA7WJA7RYQ4A3MZIK5ZMN6/events.json","paper":"https://pith.science/paper/P6YJBA7W"},"agent_actions":{"view_html":"https://pith.science/pith/P6YJBA7WJA7RYQ4A3MZIK5ZMN6","download_json":"https://pith.science/pith/P6YJBA7WJA7RYQ4A3MZIK5ZMN6.json","view_paper":"https://pith.science/paper/P6YJBA7W","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2311.02929&json=true","fetch_graph":"https://pith.science/api/pith-number/P6YJBA7WJA7RYQ4A3MZIK5ZMN6/graph.json","fetch_events":"https://pith.science/api/pith-number/P6YJBA7WJA7RYQ4A3MZIK5ZMN6/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/P6YJBA7WJA7RYQ4A3MZIK5ZMN6/action/timestamp_anchor","attest_storage":"https://pith.science/pith/P6YJBA7WJA7RYQ4A3MZIK5ZMN6/action/storage_attestation","attest_author":"https://pith.science/pith/P6YJBA7WJA7RYQ4A3MZIK5ZMN6/action/author_attestation","sign_citation":"https://pith.science/pith/P6YJBA7WJA7RYQ4A3MZIK5ZMN6/action/citation_signature","submit_replication":"https://pith.science/pith/P6YJBA7WJA7RYQ4A3MZIK5ZMN6/action/replication_record"}},"created_at":"2026-07-05T07:09:19.838640+00:00","updated_at":"2026-07-05T07:09:19.838640+00:00"}