{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2019:X7ZQLFLIIAMINYX5JPABKP4F7I","short_pith_number":"pith:X7ZQLFLI","schema_version":"1.0","canonical_sha256":"bff3059568401886e2fd4bc0153f85fa1fc9f2852d3ea52abf7248170a5e8286","source":{"kind":"arxiv","id":"1901.04531","version":1},"attestation_state":"computed","paper":{"title":"Statistical Models for the Number of Successful Cyber Intrusions","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["stat.AP"],"primary_cat":"cs.CR","authors_text":"Alexander Kott, Lawrence P. Knachel, Nandi O. Leslie, Richard E. Harang","submitted_at":"2019-01-14T19:35:57Z","abstract_excerpt":"We propose several generalized linear models (GLMs) to predict the number of successful cyber intrusions (or \"intrusions\") into an organization's computer network, where the rate at which intrusions occur is a function of the following observable characteristics of the organization: (i) domain name server (DNS) traffic classified by their top-level domains (TLDs); (ii) the number of network security policy violations; and (iii) a set of predictors that we collectively call \"cyber footprint\" that is comprised of the number of hosts on the organization's network, the organization's similarity to"},"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":"1901.04531","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CR","submitted_at":"2019-01-14T19:35:57Z","cross_cats_sorted":["stat.AP"],"title_canon_sha256":"87ba12fd74a3d1316f0775260240fd61bf93bf36d79be1f681f6f350b978be1a","abstract_canon_sha256":"5f6cba8c8ddc132a9b3e611bbd07490623db5e6da459698a4fc71ef50ded0aee"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-17T23:54:38.834882Z","signature_b64":"3LvFodxiKR8z1GxQE9GDDGWluWf0a46hdSBour2lTJvxIBq32fKusXFzqQhqL09Yw6h2Hk+1TfXc9o34UjSeBA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"bff3059568401886e2fd4bc0153f85fa1fc9f2852d3ea52abf7248170a5e8286","last_reissued_at":"2026-05-17T23:54:38.834415Z","signature_status":"signed_v1","first_computed_at":"2026-05-17T23:54:38.834415Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Statistical Models for the Number of Successful Cyber Intrusions","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["stat.AP"],"primary_cat":"cs.CR","authors_text":"Alexander Kott, Lawrence P. Knachel, Nandi O. Leslie, Richard E. Harang","submitted_at":"2019-01-14T19:35:57Z","abstract_excerpt":"We propose several generalized linear models (GLMs) to predict the number of successful cyber intrusions (or \"intrusions\") into an organization's computer network, where the rate at which intrusions occur is a function of the following observable characteristics of the organization: (i) domain name server (DNS) traffic classified by their top-level domains (TLDs); (ii) the number of network security policy violations; and (iii) a set of predictors that we collectively call \"cyber footprint\" that is comprised of the number of hosts on the organization's network, the organization's similarity to"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1901.04531","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":"1901.04531","created_at":"2026-05-17T23:54:38.834487+00:00"},{"alias_kind":"arxiv_version","alias_value":"1901.04531v1","created_at":"2026-05-17T23:54:38.834487+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1901.04531","created_at":"2026-05-17T23:54:38.834487+00:00"},{"alias_kind":"pith_short_12","alias_value":"X7ZQLFLIIAMI","created_at":"2026-05-18T12:33:33.725879+00:00"},{"alias_kind":"pith_short_16","alias_value":"X7ZQLFLIIAMINYX5","created_at":"2026-05-18T12:33:33.725879+00:00"},{"alias_kind":"pith_short_8","alias_value":"X7ZQLFLI","created_at":"2026-05-18T12:33:33.725879+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/X7ZQLFLIIAMINYX5JPABKP4F7I","json":"https://pith.science/pith/X7ZQLFLIIAMINYX5JPABKP4F7I.json","graph_json":"https://pith.science/api/pith-number/X7ZQLFLIIAMINYX5JPABKP4F7I/graph.json","events_json":"https://pith.science/api/pith-number/X7ZQLFLIIAMINYX5JPABKP4F7I/events.json","paper":"https://pith.science/paper/X7ZQLFLI"},"agent_actions":{"view_html":"https://pith.science/pith/X7ZQLFLIIAMINYX5JPABKP4F7I","download_json":"https://pith.science/pith/X7ZQLFLIIAMINYX5JPABKP4F7I.json","view_paper":"https://pith.science/paper/X7ZQLFLI","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=1901.04531&json=true","fetch_graph":"https://pith.science/api/pith-number/X7ZQLFLIIAMINYX5JPABKP4F7I/graph.json","fetch_events":"https://pith.science/api/pith-number/X7ZQLFLIIAMINYX5JPABKP4F7I/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/X7ZQLFLIIAMINYX5JPABKP4F7I/action/timestamp_anchor","attest_storage":"https://pith.science/pith/X7ZQLFLIIAMINYX5JPABKP4F7I/action/storage_attestation","attest_author":"https://pith.science/pith/X7ZQLFLIIAMINYX5JPABKP4F7I/action/author_attestation","sign_citation":"https://pith.science/pith/X7ZQLFLIIAMINYX5JPABKP4F7I/action/citation_signature","submit_replication":"https://pith.science/pith/X7ZQLFLIIAMINYX5JPABKP4F7I/action/replication_record"}},"created_at":"2026-05-17T23:54:38.834487+00:00","updated_at":"2026-05-17T23:54:38.834487+00:00"}