{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2024:EFWKTMUEJSFH4HPCNXQNEZWLC3","short_pith_number":"pith:EFWKTMUE","schema_version":"1.0","canonical_sha256":"216ca9b2844c8a7e1de26de0d266cb16c170589b98f54f24bfec652259a5f012","source":{"kind":"arxiv","id":"2410.22602","version":1},"attestation_state":"computed","paper":{"title":"A Cascade Approach for APT Campaign Attribution in System Event Logs: Technique Hunting and Subgraph Matching","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CR","authors_text":"Guo-Wei Wong, Meng Chang Chen, Ying-Ren Guo, Yi-Ting Huang","submitted_at":"2024-10-29T23:49:28Z","abstract_excerpt":"As Advanced Persistent Threats (APTs) grow increasingly sophisticated, the demand for effective detection methods has intensified. This study addresses the challenge of identifying APT campaign attacks through system event logs. A cascading approach, name SFM, combines Technique hunting and APT campaign attribution. Our approach assumes that real-world system event logs contain a vast majority of normal events interspersed with few suspiciously malicious ones and that these logs are annotated with Techniques of MITRE ATT&CK framework for attack pattern recognition. Then, we attribute APT campa"},"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":"2410.22602","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CR","submitted_at":"2024-10-29T23:49:28Z","cross_cats_sorted":[],"title_canon_sha256":"2d07303464e20414d94839c7072582fbce9ab3f5b3144d6852a59341d8988eac","abstract_canon_sha256":"fff87b8d7c7efbf2a9719778c07b1da974e3ff4278515180c5c8801e753845bc"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T09:28:19.105708Z","signature_b64":"D5gG715kVXCl90YGZkQ2X2Tu5qOwNne1ICUQU3wyOAABNF4cfMKFbhx2KCPHSehjs+6nviV3OkA+xhLNNokpCQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"216ca9b2844c8a7e1de26de0d266cb16c170589b98f54f24bfec652259a5f012","last_reissued_at":"2026-07-05T09:28:19.105261Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T09:28:19.105261Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"A Cascade Approach for APT Campaign Attribution in System Event Logs: Technique Hunting and Subgraph Matching","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CR","authors_text":"Guo-Wei Wong, Meng Chang Chen, Ying-Ren Guo, Yi-Ting Huang","submitted_at":"2024-10-29T23:49:28Z","abstract_excerpt":"As Advanced Persistent Threats (APTs) grow increasingly sophisticated, the demand for effective detection methods has intensified. This study addresses the challenge of identifying APT campaign attacks through system event logs. A cascading approach, name SFM, combines Technique hunting and APT campaign attribution. Our approach assumes that real-world system event logs contain a vast majority of normal events interspersed with few suspiciously malicious ones and that these logs are annotated with Techniques of MITRE ATT&CK framework for attack pattern recognition. Then, we attribute APT campa"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2410.22602","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/2410.22602/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":"2410.22602","created_at":"2026-07-05T09:28:19.105322+00:00"},{"alias_kind":"arxiv_version","alias_value":"2410.22602v1","created_at":"2026-07-05T09:28:19.105322+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2410.22602","created_at":"2026-07-05T09:28:19.105322+00:00"},{"alias_kind":"pith_short_12","alias_value":"EFWKTMUEJSFH","created_at":"2026-07-05T09:28:19.105322+00:00"},{"alias_kind":"pith_short_16","alias_value":"EFWKTMUEJSFH4HPC","created_at":"2026-07-05T09:28:19.105322+00:00"},{"alias_kind":"pith_short_8","alias_value":"EFWKTMUE","created_at":"2026-07-05T09:28:19.105322+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/EFWKTMUEJSFH4HPCNXQNEZWLC3","json":"https://pith.science/pith/EFWKTMUEJSFH4HPCNXQNEZWLC3.json","graph_json":"https://pith.science/api/pith-number/EFWKTMUEJSFH4HPCNXQNEZWLC3/graph.json","events_json":"https://pith.science/api/pith-number/EFWKTMUEJSFH4HPCNXQNEZWLC3/events.json","paper":"https://pith.science/paper/EFWKTMUE"},"agent_actions":{"view_html":"https://pith.science/pith/EFWKTMUEJSFH4HPCNXQNEZWLC3","download_json":"https://pith.science/pith/EFWKTMUEJSFH4HPCNXQNEZWLC3.json","view_paper":"https://pith.science/paper/EFWKTMUE","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2410.22602&json=true","fetch_graph":"https://pith.science/api/pith-number/EFWKTMUEJSFH4HPCNXQNEZWLC3/graph.json","fetch_events":"https://pith.science/api/pith-number/EFWKTMUEJSFH4HPCNXQNEZWLC3/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/EFWKTMUEJSFH4HPCNXQNEZWLC3/action/timestamp_anchor","attest_storage":"https://pith.science/pith/EFWKTMUEJSFH4HPCNXQNEZWLC3/action/storage_attestation","attest_author":"https://pith.science/pith/EFWKTMUEJSFH4HPCNXQNEZWLC3/action/author_attestation","sign_citation":"https://pith.science/pith/EFWKTMUEJSFH4HPCNXQNEZWLC3/action/citation_signature","submit_replication":"https://pith.science/pith/EFWKTMUEJSFH4HPCNXQNEZWLC3/action/replication_record"}},"created_at":"2026-07-05T09:28:19.105322+00:00","updated_at":"2026-07-05T09:28:19.105322+00:00"}