{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2014:FKIQI4AZ5LKHKYOLTPT7ZNVBUV","short_pith_number":"pith:FKIQI4AZ","schema_version":"1.0","canonical_sha256":"2a91047019ead47561cb9be7fcb6a1a542f58cd881d6ee846600e82de02c3aa7","source":{"kind":"arxiv","id":"1412.7682","version":1},"attestation_state":"computed","paper":{"title":"Accelerating Correlation Power Analysis Using Graphics Processing Units","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.PF","authors_text":"Darshana Jayasinghe, Hasindu Gamaarachchi, Roshan Ragel","submitted_at":"2014-12-24T15:10:03Z","abstract_excerpt":"Correlation Power Analysis (CPA) is a type of power analysis based side channel attack that can be used to derive the secret key of encryption algorithms including DES (Data Encryption Standard) and AES (Advanced Encryption Standard). A typical CPA attack on unprotected AES is performed by analysing a few thousand power traces that requires about an hour of computational time on a general purpose CPU. Due to the severity of this situation, a large number of researchers work on countermeasures to such attacks. Verifying that a proposed countermeasure works well requires performing the CPA attac"},"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":"1412.7682","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.PF","submitted_at":"2014-12-24T15:10:03Z","cross_cats_sorted":[],"title_canon_sha256":"f5435f659bb4bdb2afbc4c427b0d93edf5a42eee899f4a5c0c953d5f58174f6b","abstract_canon_sha256":"d733203db1bc5cd1689517fe3d3cd07da7d8c2b56139bd9e2c2a5b28c60bb6a5"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T02:30:33.271888Z","signature_b64":"HcH2pv4iQsSX691K2cH8CZTBNZhKRD8eTyuLeKwBUHvYjgmgaYR/vLk7PvEtGKljaXOYN0T2QPZXgB8fXYbMCQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"2a91047019ead47561cb9be7fcb6a1a542f58cd881d6ee846600e82de02c3aa7","last_reissued_at":"2026-05-18T02:30:33.271501Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T02:30:33.271501Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Accelerating Correlation Power Analysis Using Graphics Processing Units","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.PF","authors_text":"Darshana Jayasinghe, Hasindu Gamaarachchi, Roshan Ragel","submitted_at":"2014-12-24T15:10:03Z","abstract_excerpt":"Correlation Power Analysis (CPA) is a type of power analysis based side channel attack that can be used to derive the secret key of encryption algorithms including DES (Data Encryption Standard) and AES (Advanced Encryption Standard). A typical CPA attack on unprotected AES is performed by analysing a few thousand power traces that requires about an hour of computational time on a general purpose CPU. Due to the severity of this situation, a large number of researchers work on countermeasures to such attacks. Verifying that a proposed countermeasure works well requires performing the CPA attac"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1412.7682","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":"1412.7682","created_at":"2026-05-18T02:30:33.271562+00:00"},{"alias_kind":"arxiv_version","alias_value":"1412.7682v1","created_at":"2026-05-18T02:30:33.271562+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1412.7682","created_at":"2026-05-18T02:30:33.271562+00:00"},{"alias_kind":"pith_short_12","alias_value":"FKIQI4AZ5LKH","created_at":"2026-05-18T12:28:28.263976+00:00"},{"alias_kind":"pith_short_16","alias_value":"FKIQI4AZ5LKHKYOL","created_at":"2026-05-18T12:28:28.263976+00:00"},{"alias_kind":"pith_short_8","alias_value":"FKIQI4AZ","created_at":"2026-05-18T12:28:28.263976+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/FKIQI4AZ5LKHKYOLTPT7ZNVBUV","json":"https://pith.science/pith/FKIQI4AZ5LKHKYOLTPT7ZNVBUV.json","graph_json":"https://pith.science/api/pith-number/FKIQI4AZ5LKHKYOLTPT7ZNVBUV/graph.json","events_json":"https://pith.science/api/pith-number/FKIQI4AZ5LKHKYOLTPT7ZNVBUV/events.json","paper":"https://pith.science/paper/FKIQI4AZ"},"agent_actions":{"view_html":"https://pith.science/pith/FKIQI4AZ5LKHKYOLTPT7ZNVBUV","download_json":"https://pith.science/pith/FKIQI4AZ5LKHKYOLTPT7ZNVBUV.json","view_paper":"https://pith.science/paper/FKIQI4AZ","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=1412.7682&json=true","fetch_graph":"https://pith.science/api/pith-number/FKIQI4AZ5LKHKYOLTPT7ZNVBUV/graph.json","fetch_events":"https://pith.science/api/pith-number/FKIQI4AZ5LKHKYOLTPT7ZNVBUV/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/FKIQI4AZ5LKHKYOLTPT7ZNVBUV/action/timestamp_anchor","attest_storage":"https://pith.science/pith/FKIQI4AZ5LKHKYOLTPT7ZNVBUV/action/storage_attestation","attest_author":"https://pith.science/pith/FKIQI4AZ5LKHKYOLTPT7ZNVBUV/action/author_attestation","sign_citation":"https://pith.science/pith/FKIQI4AZ5LKHKYOLTPT7ZNVBUV/action/citation_signature","submit_replication":"https://pith.science/pith/FKIQI4AZ5LKHKYOLTPT7ZNVBUV/action/replication_record"}},"created_at":"2026-05-18T02:30:33.271562+00:00","updated_at":"2026-05-18T02:30:33.271562+00:00"}