{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:72AVXX7UIDPA7SOOVOS5CTHJGX","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":"fbbf52708ff07edfea740281ad1895bedfee843fd7bf5aae11b94e62437c9d92","cross_cats_sorted":["cs.LG","cs.NI"],"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.CR","submitted_at":"2024-06-04T03:22:52Z","title_canon_sha256":"a8150783d6d5426a74fc7a3bcfbc07cad6b2e6a2de04ad63246876761085d821"},"schema_version":"1.0","source":{"id":"2406.02632","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2406.02632","created_at":"2026-07-05T09:06:42Z"},{"alias_kind":"arxiv_version","alias_value":"2406.02632v1","created_at":"2026-07-05T09:06:42Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2406.02632","created_at":"2026-07-05T09:06:42Z"},{"alias_kind":"pith_short_12","alias_value":"72AVXX7UIDPA","created_at":"2026-07-05T09:06:42Z"},{"alias_kind":"pith_short_16","alias_value":"72AVXX7UIDPA7SOO","created_at":"2026-07-05T09:06:42Z"},{"alias_kind":"pith_short_8","alias_value":"72AVXX7U","created_at":"2026-07-05T09:06:42Z"}],"graph_snapshots":[{"event_id":"sha256:a239b9bb6a0a1287ddb51dcb10d81693544cb75cf00e69b992810970810227a2","target":"graph","created_at":"2026-07-05T09:06:42Z","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"},"integrity":{"available":true,"clean":true,"detectors_run":[],"endpoint":"/pith/2406.02632/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Distributed Denial of Service (DDoS) attacks pose an increasingly substantial cybersecurity threat to organizations across the globe. In this paper, we introduce a new deep learning-based technique for detecting DDoS attacks, a paramount cybersecurity challenge with evolving complexity and scale. Specifically, we propose a new dual-space prototypical network that leverages a unique dual-space loss function to enhance detection accuracy for various attack patterns through geometric and angular similarity measures. This approach capitalizes on the strengths of representation learning within the ","authors_text":"Ali Alfatemi, Fernando Martinez, Kaiqi Xiong, Mariyam Mapkar, Mohamed Rahouti, Nasir Ghani, Yufeng Xin","cross_cats":["cs.LG","cs.NI"],"headline":"","license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.CR","submitted_at":"2024-06-04T03:22:52Z","title":"Redefining DDoS Attack Detection Using A Dual-Space Prototypical Network-Based Approach"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2406.02632","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":"sha256:31f2b6ed6e7b57c31cb3ee7ac60c0edaff451682b58dd668fce5abb4d8fc8d28","target":"record","created_at":"2026-07-05T09:06:42Z","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":"fbbf52708ff07edfea740281ad1895bedfee843fd7bf5aae11b94e62437c9d92","cross_cats_sorted":["cs.LG","cs.NI"],"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.CR","submitted_at":"2024-06-04T03:22:52Z","title_canon_sha256":"a8150783d6d5426a74fc7a3bcfbc07cad6b2e6a2de04ad63246876761085d821"},"schema_version":"1.0","source":{"id":"2406.02632","kind":"arxiv","version":1}},"canonical_sha256":"fe815bdff440de0fc9ceaba5d14ce935f1f8b6cbabe72a3ffe7337b719a8f196","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"fe815bdff440de0fc9ceaba5d14ce935f1f8b6cbabe72a3ffe7337b719a8f196","first_computed_at":"2026-07-05T09:06:42.017764Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T09:06:42.017764Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"fYuFv1jIioJtNvhoYZR2lIoeip8eINE31+ZZek7uVVKbQLDk3BJV/9jOPrix1boRLH2e6aDMpkSeypfnsFnVCQ==","signature_status":"signed_v1","signed_at":"2026-07-05T09:06:42.018232Z","signed_message":"canonical_sha256_bytes"},"source_id":"2406.02632","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:31f2b6ed6e7b57c31cb3ee7ac60c0edaff451682b58dd668fce5abb4d8fc8d28","sha256:a239b9bb6a0a1287ddb51dcb10d81693544cb75cf00e69b992810970810227a2"],"state_sha256":"43a8265d7fc7b102e48a237f1dbaa171a782da17f298dd0249c7c5f096568b00"}