{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2019:ECLADK5T5BHMZPCSP5ZBJC4EBS","short_pith_number":"pith:ECLADK5T","schema_version":"1.0","canonical_sha256":"209601abb3e84eccbc527f72148b840cb45203aa4d3eac271cbe570525b706b4","source":{"kind":"arxiv","id":"1905.04796","version":1},"attestation_state":"computed","paper":{"title":"Identifying Security-Critical Cyber-Physical Components in Industrial Control Systems","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.NI","cs.SY"],"primary_cat":"cs.CR","authors_text":"Chris Hankin, Demetrios G. Eliades, Mart\\'in Barr\\`ere, Nicolas Nicolau, Thomas Parisini","submitted_at":"2019-05-12T21:53:16Z","abstract_excerpt":"In recent years, Industrial Control Systems (ICS) have become an appealing target for cyber attacks, having massive destructive consequences. Security metrics are therefore essential to assess their security posture. In this paper, we present a novel ICS security metric based on AND/OR graphs that represent cyber-physical dependencies among network components. Our metric is able to efficiently identify sets of critical cyber-physical components, with minimal cost for an attacker, such that if compromised, the system would enter into a non-operational state. We address this problem by efficient"},"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":"1905.04796","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CR","submitted_at":"2019-05-12T21:53:16Z","cross_cats_sorted":["cs.NI","cs.SY"],"title_canon_sha256":"8cfaf6ef257bd58700953c4d43dd32df7e83e678e509b353ecaf24dd62241a35","abstract_canon_sha256":"939d80d30a5597bf19f85f5279caa810db78c591a8ed4fdc050e6a283837600e"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-17T23:46:23.480045Z","signature_b64":"OEYAlqJMIEEQHw6XzYgozUbkfOxvfNN6WMFgU2ZLvrH4riqEb09lywpxA6m/RzCKPiLzpw/0v9EOACJK/O4qBg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"209601abb3e84eccbc527f72148b840cb45203aa4d3eac271cbe570525b706b4","last_reissued_at":"2026-05-17T23:46:23.479339Z","signature_status":"signed_v1","first_computed_at":"2026-05-17T23:46:23.479339Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Identifying Security-Critical Cyber-Physical Components in Industrial Control Systems","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.NI","cs.SY"],"primary_cat":"cs.CR","authors_text":"Chris Hankin, Demetrios G. Eliades, Mart\\'in Barr\\`ere, Nicolas Nicolau, Thomas Parisini","submitted_at":"2019-05-12T21:53:16Z","abstract_excerpt":"In recent years, Industrial Control Systems (ICS) have become an appealing target for cyber attacks, having massive destructive consequences. Security metrics are therefore essential to assess their security posture. In this paper, we present a novel ICS security metric based on AND/OR graphs that represent cyber-physical dependencies among network components. Our metric is able to efficiently identify sets of critical cyber-physical components, with minimal cost for an attacker, such that if compromised, the system would enter into a non-operational state. We address this problem by efficient"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1905.04796","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":""},"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":"1905.04796","created_at":"2026-05-17T23:46:23.479461+00:00"},{"alias_kind":"arxiv_version","alias_value":"1905.04796v1","created_at":"2026-05-17T23:46:23.479461+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1905.04796","created_at":"2026-05-17T23:46:23.479461+00:00"},{"alias_kind":"pith_short_12","alias_value":"ECLADK5T5BHM","created_at":"2026-05-18T12:33:15.570797+00:00"},{"alias_kind":"pith_short_16","alias_value":"ECLADK5T5BHMZPCS","created_at":"2026-05-18T12:33:15.570797+00:00"},{"alias_kind":"pith_short_8","alias_value":"ECLADK5T","created_at":"2026-05-18T12:33:15.570797+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/ECLADK5T5BHMZPCSP5ZBJC4EBS","json":"https://pith.science/pith/ECLADK5T5BHMZPCSP5ZBJC4EBS.json","graph_json":"https://pith.science/api/pith-number/ECLADK5T5BHMZPCSP5ZBJC4EBS/graph.json","events_json":"https://pith.science/api/pith-number/ECLADK5T5BHMZPCSP5ZBJC4EBS/events.json","paper":"https://pith.science/paper/ECLADK5T"},"agent_actions":{"view_html":"https://pith.science/pith/ECLADK5T5BHMZPCSP5ZBJC4EBS","download_json":"https://pith.science/pith/ECLADK5T5BHMZPCSP5ZBJC4EBS.json","view_paper":"https://pith.science/paper/ECLADK5T","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=1905.04796&json=true","fetch_graph":"https://pith.science/api/pith-number/ECLADK5T5BHMZPCSP5ZBJC4EBS/graph.json","fetch_events":"https://pith.science/api/pith-number/ECLADK5T5BHMZPCSP5ZBJC4EBS/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/ECLADK5T5BHMZPCSP5ZBJC4EBS/action/timestamp_anchor","attest_storage":"https://pith.science/pith/ECLADK5T5BHMZPCSP5ZBJC4EBS/action/storage_attestation","attest_author":"https://pith.science/pith/ECLADK5T5BHMZPCSP5ZBJC4EBS/action/author_attestation","sign_citation":"https://pith.science/pith/ECLADK5T5BHMZPCSP5ZBJC4EBS/action/citation_signature","submit_replication":"https://pith.science/pith/ECLADK5T5BHMZPCSP5ZBJC4EBS/action/replication_record"}},"created_at":"2026-05-17T23:46:23.479461+00:00","updated_at":"2026-05-17T23:46:23.479461+00:00"}