{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2018:3DDORVYAEDR6BYR5PQ4APJDSVR","short_pith_number":"pith:3DDORVYA","schema_version":"1.0","canonical_sha256":"d8c6e8d70020e3e0e23d7c3807a472ac5f15a0f20e2ac6fc3d6ed4e3eeb215b2","source":{"kind":"arxiv","id":"1810.05921","version":1},"attestation_state":"computed","paper":{"title":"Two Can Play That Game: An Adversarial Evaluation of a Cyber-alert Inspection System","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.AI","cs.GT"],"primary_cat":"cs.CR","authors_text":"Ankit Shah, Arunesh Sinha, Hasan Cam, Rajesh Ganesan, Sushil Jajodia","submitted_at":"2018-10-13T20:01:54Z","abstract_excerpt":"Cyber-security is an important societal concern. Cyber-attacks have increased in numbers as well as in the extent of damage caused in every attack. Large organizations operate a Cyber Security Operation Center (CSOC), which form the first line of cyber-defense. The inspection of cyber-alerts is a critical part of CSOC operations. A recent work, in collaboration with Army Research Lab, USA proposed a reinforcement learning (RL) based approach to prevent the cyber-alert queue length from growing large and overwhelming the defender. Given the potential deployment of this approach to CSOCs run by "},"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":"1810.05921","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CR","submitted_at":"2018-10-13T20:01:54Z","cross_cats_sorted":["cs.AI","cs.GT"],"title_canon_sha256":"37bf26ed595a019c5b11cddcd57cf0ed4601c6cf4d807a360f34ccd1f5cb5103","abstract_canon_sha256":"15f239736dbce7fd9763d48000f78a086da757b283ac8eb1c2179d3e0f91e355"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T00:03:21.914413Z","signature_b64":"JeYAsGvEy7I3IiemVC2EKUhyn8FpyXWFSIKEAZpGmcq+SVEGUsEa8zo1lkLlaY053BXJPE5OaHOr/hpqLFvKDg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"d8c6e8d70020e3e0e23d7c3807a472ac5f15a0f20e2ac6fc3d6ed4e3eeb215b2","last_reissued_at":"2026-05-18T00:03:21.913907Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T00:03:21.913907Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Two Can Play That Game: An Adversarial Evaluation of a Cyber-alert Inspection System","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.AI","cs.GT"],"primary_cat":"cs.CR","authors_text":"Ankit Shah, Arunesh Sinha, Hasan Cam, Rajesh Ganesan, Sushil Jajodia","submitted_at":"2018-10-13T20:01:54Z","abstract_excerpt":"Cyber-security is an important societal concern. Cyber-attacks have increased in numbers as well as in the extent of damage caused in every attack. Large organizations operate a Cyber Security Operation Center (CSOC), which form the first line of cyber-defense. The inspection of cyber-alerts is a critical part of CSOC operations. A recent work, in collaboration with Army Research Lab, USA proposed a reinforcement learning (RL) based approach to prevent the cyber-alert queue length from growing large and overwhelming the defender. Given the potential deployment of this approach to CSOCs run by "},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1810.05921","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":"1810.05921","created_at":"2026-05-18T00:03:21.913971+00:00"},{"alias_kind":"arxiv_version","alias_value":"1810.05921v1","created_at":"2026-05-18T00:03:21.913971+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1810.05921","created_at":"2026-05-18T00:03:21.913971+00:00"},{"alias_kind":"pith_short_12","alias_value":"3DDORVYAEDR6","created_at":"2026-05-18T12:32:02.567920+00:00"},{"alias_kind":"pith_short_16","alias_value":"3DDORVYAEDR6BYR5","created_at":"2026-05-18T12:32:02.567920+00:00"},{"alias_kind":"pith_short_8","alias_value":"3DDORVYA","created_at":"2026-05-18T12:32:02.567920+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/3DDORVYAEDR6BYR5PQ4APJDSVR","json":"https://pith.science/pith/3DDORVYAEDR6BYR5PQ4APJDSVR.json","graph_json":"https://pith.science/api/pith-number/3DDORVYAEDR6BYR5PQ4APJDSVR/graph.json","events_json":"https://pith.science/api/pith-number/3DDORVYAEDR6BYR5PQ4APJDSVR/events.json","paper":"https://pith.science/paper/3DDORVYA"},"agent_actions":{"view_html":"https://pith.science/pith/3DDORVYAEDR6BYR5PQ4APJDSVR","download_json":"https://pith.science/pith/3DDORVYAEDR6BYR5PQ4APJDSVR.json","view_paper":"https://pith.science/paper/3DDORVYA","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=1810.05921&json=true","fetch_graph":"https://pith.science/api/pith-number/3DDORVYAEDR6BYR5PQ4APJDSVR/graph.json","fetch_events":"https://pith.science/api/pith-number/3DDORVYAEDR6BYR5PQ4APJDSVR/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/3DDORVYAEDR6BYR5PQ4APJDSVR/action/timestamp_anchor","attest_storage":"https://pith.science/pith/3DDORVYAEDR6BYR5PQ4APJDSVR/action/storage_attestation","attest_author":"https://pith.science/pith/3DDORVYAEDR6BYR5PQ4APJDSVR/action/author_attestation","sign_citation":"https://pith.science/pith/3DDORVYAEDR6BYR5PQ4APJDSVR/action/citation_signature","submit_replication":"https://pith.science/pith/3DDORVYAEDR6BYR5PQ4APJDSVR/action/replication_record"}},"created_at":"2026-05-18T00:03:21.913971+00:00","updated_at":"2026-05-18T00:03:21.913971+00:00"}