{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2017:BMGN3GE7VNYG3F72WPNRS6LS4I","short_pith_number":"pith:BMGN3GE7","canonical_record":{"source":{"id":"1704.02278","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.DC","submitted_at":"2017-04-07T16:21:26Z","cross_cats_sorted":["cs.CR"],"title_canon_sha256":"090dcfa60abc8ec12bdf9c78bcbf4cfdc1b27da14a0e4466a94045bf32417768","abstract_canon_sha256":"6b49cb3ffb1e3b9f7311cd89297235114eefa89e4df0814e416ccd71af62a22a"},"schema_version":"1.0"},"canonical_sha256":"0b0cdd989fab706d97fab3db197972e217955200e074d95fa6de5c8d0835b96b","source":{"kind":"arxiv","id":"1704.02278","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1704.02278","created_at":"2026-05-18T00:46:50Z"},{"alias_kind":"arxiv_version","alias_value":"1704.02278v1","created_at":"2026-05-18T00:46:50Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1704.02278","created_at":"2026-05-18T00:46:50Z"},{"alias_kind":"pith_short_12","alias_value":"BMGN3GE7VNYG","created_at":"2026-05-18T12:31:08Z"},{"alias_kind":"pith_short_16","alias_value":"BMGN3GE7VNYG3F72","created_at":"2026-05-18T12:31:08Z"},{"alias_kind":"pith_short_8","alias_value":"BMGN3GE7","created_at":"2026-05-18T12:31:08Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2017:BMGN3GE7VNYG3F72WPNRS6LS4I","target":"record","payload":{"canonical_record":{"source":{"id":"1704.02278","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.DC","submitted_at":"2017-04-07T16:21:26Z","cross_cats_sorted":["cs.CR"],"title_canon_sha256":"090dcfa60abc8ec12bdf9c78bcbf4cfdc1b27da14a0e4466a94045bf32417768","abstract_canon_sha256":"6b49cb3ffb1e3b9f7311cd89297235114eefa89e4df0814e416ccd71af62a22a"},"schema_version":"1.0"},"canonical_sha256":"0b0cdd989fab706d97fab3db197972e217955200e074d95fa6de5c8d0835b96b","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T00:46:50.223069Z","signature_b64":"H9kBHCTC44/50Nal86Sw0mEnGuMEz8pCfeG7HPElbY+yf0S5bW2wFHvsNER9XIDEPjOfu2XHAnsqTI6wQj5SBg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"0b0cdd989fab706d97fab3db197972e217955200e074d95fa6de5c8d0835b96b","last_reissued_at":"2026-05-18T00:46:50.222297Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T00:46:50.222297Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1704.02278","source_version":1,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-05-18T00:46:50Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"/bh9Enefj2rCcC1U5FjsredeESbZZRKJIZzI4y91I7JPfb43NKxefoQjM0dj1JJRUpYpi0e0ZRda+UEIa3huAw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-28T14:41:48.256099Z"},"content_sha256":"4748abe24bee50fda6b242389d818a707996d89b5d336c98099f692d06a4f51c","schema_version":"1.0","event_id":"sha256:4748abe24bee50fda6b242389d818a707996d89b5d336c98099f692d06a4f51c"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2017:BMGN3GE7VNYG3F72WPNRS6LS4I","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"GLoP: Enabling Massively Parallel Incident Response Through GPU Log Processing","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.CR"],"primary_cat":"cs.DC","authors_text":"Christos Tachtatzis, Craig Renfrew, Robert Atkinson, Tony Kirkham, Xavier Bellekens","submitted_at":"2017-04-07T16:21:26Z","abstract_excerpt":"Large industrial systems that combine services and applications, have become targets for cyber criminals and are challenging from the security, monitoring and auditing perspectives. Security log analysis is a key step for uncovering anomalies, detecting intrusion, and enabling incident response. The constant increase of link speeds, threats and users, produce large volumes of log data and become increasingly difficult to analyse on a Central Processing Unit (CPU). This paper presents a massively parallel Graphics Processing Unit (GPU) LOg Processing (GLoP) library and can also be used for Deep"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1704.02278","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"},"verdict_id":null},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-05-18T00:46:50Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"xTUjsGOpX8H3XZVACIqaZR1g2yQaNov/HbKft9PT/14K9pOdrU/f66zHaOcEPJv8nzHPd7L8VK1TaMc9tx90DQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-28T14:41:48.256451Z"},"content_sha256":"76740b7a3b3491f566b837e6370a815d8fabb42dcf116bd3ae4547a880533b6f","schema_version":"1.0","event_id":"sha256:76740b7a3b3491f566b837e6370a815d8fabb42dcf116bd3ae4547a880533b6f"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/BMGN3GE7VNYG3F72WPNRS6LS4I/bundle.json","state_url":"https://pith.science/pith/BMGN3GE7VNYG3F72WPNRS6LS4I/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/BMGN3GE7VNYG3F72WPNRS6LS4I/bundle.json","status":"primary"}],"public_keys":[{"key_id":"pith-v1-2026-05","algorithm":"ed25519","format":"raw","public_key_b64":"stVStoiQhXFxp4s2pdzPNoqVNBMojDU/fJ2db5S3CbM=","public_key_hex":"b2d552b68890857171a78b36a5dccf368a953413288c353f7c9d9d6f94b709b3","fingerprint_sha256_b32_first128bits":"RVFV5Z2OI2J3ZUO7ERDEBCYNKS","fingerprint_sha256_hex":"8d4b5ee74e4693bcd1df2446408b0d54","rotates_at":null,"url":"https://pith.science/pith-signing-key.json","notes":"Pith uses this Ed25519 key to sign canonical record SHA-256 digests. Verify with: ed25519_verify(public_key, message=canonical_sha256_bytes, signature=base64decode(signature_b64))."}],"merge_version":"pith-open-graph-merge-v1","built_at":"2026-05-28T14:41:48Z","links":{"resolver":"https://pith.science/pith/BMGN3GE7VNYG3F72WPNRS6LS4I","bundle":"https://pith.science/pith/BMGN3GE7VNYG3F72WPNRS6LS4I/bundle.json","state":"https://pith.science/pith/BMGN3GE7VNYG3F72WPNRS6LS4I/state.json","well_known_bundle":"https://pith.science/.well-known/pith/BMGN3GE7VNYG3F72WPNRS6LS4I/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2017:BMGN3GE7VNYG3F72WPNRS6LS4I","merge_version":"pith-open-graph-merge-v1","event_count":2,"valid_event_count":2,"invalid_event_count":0,"equivocation_count":0,"current":{"canonical_record":{"metadata":{"abstract_canon_sha256":"6b49cb3ffb1e3b9f7311cd89297235114eefa89e4df0814e416ccd71af62a22a","cross_cats_sorted":["cs.CR"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.DC","submitted_at":"2017-04-07T16:21:26Z","title_canon_sha256":"090dcfa60abc8ec12bdf9c78bcbf4cfdc1b27da14a0e4466a94045bf32417768"},"schema_version":"1.0","source":{"id":"1704.02278","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1704.02278","created_at":"2026-05-18T00:46:50Z"},{"alias_kind":"arxiv_version","alias_value":"1704.02278v1","created_at":"2026-05-18T00:46:50Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1704.02278","created_at":"2026-05-18T00:46:50Z"},{"alias_kind":"pith_short_12","alias_value":"BMGN3GE7VNYG","created_at":"2026-05-18T12:31:08Z"},{"alias_kind":"pith_short_16","alias_value":"BMGN3GE7VNYG3F72","created_at":"2026-05-18T12:31:08Z"},{"alias_kind":"pith_short_8","alias_value":"BMGN3GE7","created_at":"2026-05-18T12:31:08Z"}],"graph_snapshots":[{"event_id":"sha256:76740b7a3b3491f566b837e6370a815d8fabb42dcf116bd3ae4547a880533b6f","target":"graph","created_at":"2026-05-18T00:46:50Z","signer":{"key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signer_id":"pith.science","signer_type":"pith_registry"},"payload":{"graph_snapshot":{"author_claims":{"count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","strong_count":0},"builder_version":"pith-number-builder-2026-05-17-v1","claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"paper":{"abstract_excerpt":"Large industrial systems that combine services and applications, have become targets for cyber criminals and are challenging from the security, monitoring and auditing perspectives. Security log analysis is a key step for uncovering anomalies, detecting intrusion, and enabling incident response. The constant increase of link speeds, threats and users, produce large volumes of log data and become increasingly difficult to analyse on a Central Processing Unit (CPU). This paper presents a massively parallel Graphics Processing Unit (GPU) LOg Processing (GLoP) library and can also be used for Deep","authors_text":"Christos Tachtatzis, Craig Renfrew, Robert Atkinson, Tony Kirkham, Xavier Bellekens","cross_cats":["cs.CR"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.DC","submitted_at":"2017-04-07T16:21:26Z","title":"GLoP: Enabling Massively Parallel Incident Response Through GPU Log Processing"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1704.02278","kind":"arxiv","version":1},"verdict":{"created_at":null,"id":null,"model_set":{},"one_line_summary":"","pipeline_version":null,"pith_extraction_headline":"","strongest_claim":"","weakest_assumption":""}},"verdict_id":null}}],"author_attestations":[],"timestamp_anchors":[],"storage_attestations":[],"citation_signatures":[],"replication_records":[],"corrections":[],"mirror_hints":[],"record_created":{"event_id":"sha256:4748abe24bee50fda6b242389d818a707996d89b5d336c98099f692d06a4f51c","target":"record","created_at":"2026-05-18T00:46:50Z","signer":{"key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signer_id":"pith.science","signer_type":"pith_registry"},"payload":{"attestation_state":"computed","canonical_record":{"metadata":{"abstract_canon_sha256":"6b49cb3ffb1e3b9f7311cd89297235114eefa89e4df0814e416ccd71af62a22a","cross_cats_sorted":["cs.CR"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.DC","submitted_at":"2017-04-07T16:21:26Z","title_canon_sha256":"090dcfa60abc8ec12bdf9c78bcbf4cfdc1b27da14a0e4466a94045bf32417768"},"schema_version":"1.0","source":{"id":"1704.02278","kind":"arxiv","version":1}},"canonical_sha256":"0b0cdd989fab706d97fab3db197972e217955200e074d95fa6de5c8d0835b96b","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"0b0cdd989fab706d97fab3db197972e217955200e074d95fa6de5c8d0835b96b","first_computed_at":"2026-05-18T00:46:50.222297Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T00:46:50.222297Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"H9kBHCTC44/50Nal86Sw0mEnGuMEz8pCfeG7HPElbY+yf0S5bW2wFHvsNER9XIDEPjOfu2XHAnsqTI6wQj5SBg==","signature_status":"signed_v1","signed_at":"2026-05-18T00:46:50.223069Z","signed_message":"canonical_sha256_bytes"},"source_id":"1704.02278","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:4748abe24bee50fda6b242389d818a707996d89b5d336c98099f692d06a4f51c","sha256:76740b7a3b3491f566b837e6370a815d8fabb42dcf116bd3ae4547a880533b6f"],"state_sha256":"a33271298809e7a4d81a46b4e0f3ab90c2c313b622dd49980cf094f64a4dec84"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"TojqHCVqxHs7Ed95vsuLPcSz1gxHdGTbfKGGH2Pzt93968u+egaAWHcA5/yEJjvHJpg7qdwFltccH5wJ66MnCA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-05-28T14:41:48.258619Z","bundle_sha256":"80a065530bcdaf781ec82ecfc5fa1b5bb024e6b4379a78ec68f73d8e5102e513"}}