{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2017:FHUAKSY6A242IFR5EFA66V6JZX","short_pith_number":"pith:FHUAKSY6","canonical_record":{"source":{"id":"1709.02656","kind":"arxiv","version":3},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2017-09-08T11:40:37Z","cross_cats_sorted":["cs.CR","cs.NI"],"title_canon_sha256":"d49a8a9bc7967ae328e5724aac14725834e1fd78914f7fe37823bbc6c5814706","abstract_canon_sha256":"7e4698b5fa75c7e043fcc42314857c25e3995463ae55c12ac58dc837a86519ae"},"schema_version":"1.0"},"canonical_sha256":"29e8054b1e06b9a4163d2141ef57c9cddb1baa7d22f817cccd65f51cf6c32113","source":{"kind":"arxiv","id":"1709.02656","version":3},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1709.02656","created_at":"2026-05-18T00:11:32Z"},{"alias_kind":"arxiv_version","alias_value":"1709.02656v3","created_at":"2026-05-18T00:11:32Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1709.02656","created_at":"2026-05-18T00:11:32Z"},{"alias_kind":"pith_short_12","alias_value":"FHUAKSY6A242","created_at":"2026-05-18T12:31:15Z"},{"alias_kind":"pith_short_16","alias_value":"FHUAKSY6A242IFR5","created_at":"2026-05-18T12:31:15Z"},{"alias_kind":"pith_short_8","alias_value":"FHUAKSY6","created_at":"2026-05-18T12:31:15Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2017:FHUAKSY6A242IFR5EFA66V6JZX","target":"record","payload":{"canonical_record":{"source":{"id":"1709.02656","kind":"arxiv","version":3},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2017-09-08T11:40:37Z","cross_cats_sorted":["cs.CR","cs.NI"],"title_canon_sha256":"d49a8a9bc7967ae328e5724aac14725834e1fd78914f7fe37823bbc6c5814706","abstract_canon_sha256":"7e4698b5fa75c7e043fcc42314857c25e3995463ae55c12ac58dc837a86519ae"},"schema_version":"1.0"},"canonical_sha256":"29e8054b1e06b9a4163d2141ef57c9cddb1baa7d22f817cccd65f51cf6c32113","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T00:11:32.453408Z","signature_b64":"9eph+oqabpkkZQVdeWoW7ZHrncxY6ec1rkdEtsyrI3iY2YLxcKT9iGzDi6GuYvyb8zbbzclhSfSlQgQ+E5wXDg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"29e8054b1e06b9a4163d2141ef57c9cddb1baa7d22f817cccd65f51cf6c32113","last_reissued_at":"2026-05-18T00:11:32.452884Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T00:11:32.452884Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1709.02656","source_version":3,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-05-18T00:11:32Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"HW0iNJhVHrOIp8qT1LkCNcMVpFyy7wvJvgypAoIRWgAphkeqp0r7YaNvagHf5RFnlO4WEBsWsmXcnaxbRmBRBg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-02T23:25:09.302933Z"},"content_sha256":"a6c66eadaf1aad52b4629b2b0122dcef71ffd9cde14387edcfbf0f3e77d8ad1f","schema_version":"1.0","event_id":"sha256:a6c66eadaf1aad52b4629b2b0122dcef71ffd9cde14387edcfbf0f3e77d8ad1f"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2017:FHUAKSY6A242IFR5EFA66V6JZX","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Deep Packet: A Novel Approach For Encrypted Traffic Classification Using Deep Learning","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.CR","cs.NI"],"primary_cat":"cs.LG","authors_text":"Mahdi Jafari Siavoshani, Mohammad Lotfollahi, Mohammdsadegh Saberian, Ramin Shirali Hossein Zade","submitted_at":"2017-09-08T11:40:37Z","abstract_excerpt":"Internet traffic classification has become more important with rapid growth of current Internet network and online applications. There have been numerous studies on this topic which have led to many different approaches. Most of these approaches use predefined features extracted by an expert in order to classify network traffic. In contrast, in this study, we propose a \\emph{deep learning} based approach which integrates both feature extraction and classification phases into one system. Our proposed scheme, called \"Deep Packet,\" can handle both \\emph{traffic characterization} in which the netw"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1709.02656","kind":"arxiv","version":3},"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":"2026-05-18T00:11:32Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"TnwOHoyxvVzkGUc+nI/MJyT/uTTGOfV1+skuGVSYD65e+4nTjLt2g2DRQPIe8tey+c4xGwzlRppP8cXV40eCBw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-02T23:25:09.303292Z"},"content_sha256":"f9cdaa53319731d622331a7741225bf810033c61b451e46c38320cd183ef3424","schema_version":"1.0","event_id":"sha256:f9cdaa53319731d622331a7741225bf810033c61b451e46c38320cd183ef3424"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/FHUAKSY6A242IFR5EFA66V6JZX/bundle.json","state_url":"https://pith.science/pith/FHUAKSY6A242IFR5EFA66V6JZX/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/FHUAKSY6A242IFR5EFA66V6JZX/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":"2026-06-02T23:25:09Z","links":{"resolver":"https://pith.science/pith/FHUAKSY6A242IFR5EFA66V6JZX","bundle":"https://pith.science/pith/FHUAKSY6A242IFR5EFA66V6JZX/bundle.json","state":"https://pith.science/pith/FHUAKSY6A242IFR5EFA66V6JZX/state.json","well_known_bundle":"https://pith.science/.well-known/pith/FHUAKSY6A242IFR5EFA66V6JZX/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2017:FHUAKSY6A242IFR5EFA66V6JZX","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":"7e4698b5fa75c7e043fcc42314857c25e3995463ae55c12ac58dc837a86519ae","cross_cats_sorted":["cs.CR","cs.NI"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2017-09-08T11:40:37Z","title_canon_sha256":"d49a8a9bc7967ae328e5724aac14725834e1fd78914f7fe37823bbc6c5814706"},"schema_version":"1.0","source":{"id":"1709.02656","kind":"arxiv","version":3}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1709.02656","created_at":"2026-05-18T00:11:32Z"},{"alias_kind":"arxiv_version","alias_value":"1709.02656v3","created_at":"2026-05-18T00:11:32Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1709.02656","created_at":"2026-05-18T00:11:32Z"},{"alias_kind":"pith_short_12","alias_value":"FHUAKSY6A242","created_at":"2026-05-18T12:31:15Z"},{"alias_kind":"pith_short_16","alias_value":"FHUAKSY6A242IFR5","created_at":"2026-05-18T12:31:15Z"},{"alias_kind":"pith_short_8","alias_value":"FHUAKSY6","created_at":"2026-05-18T12:31:15Z"}],"graph_snapshots":[{"event_id":"sha256:f9cdaa53319731d622331a7741225bf810033c61b451e46c38320cd183ef3424","target":"graph","created_at":"2026-05-18T00:11:32Z","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":"Internet traffic classification has become more important with rapid growth of current Internet network and online applications. There have been numerous studies on this topic which have led to many different approaches. Most of these approaches use predefined features extracted by an expert in order to classify network traffic. In contrast, in this study, we propose a \\emph{deep learning} based approach which integrates both feature extraction and classification phases into one system. Our proposed scheme, called \"Deep Packet,\" can handle both \\emph{traffic characterization} in which the netw","authors_text":"Mahdi Jafari Siavoshani, Mohammad Lotfollahi, Mohammdsadegh Saberian, Ramin Shirali Hossein Zade","cross_cats":["cs.CR","cs.NI"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2017-09-08T11:40:37Z","title":"Deep Packet: A Novel Approach For Encrypted Traffic Classification Using Deep Learning"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1709.02656","kind":"arxiv","version":3},"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:a6c66eadaf1aad52b4629b2b0122dcef71ffd9cde14387edcfbf0f3e77d8ad1f","target":"record","created_at":"2026-05-18T00:11:32Z","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":"7e4698b5fa75c7e043fcc42314857c25e3995463ae55c12ac58dc837a86519ae","cross_cats_sorted":["cs.CR","cs.NI"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2017-09-08T11:40:37Z","title_canon_sha256":"d49a8a9bc7967ae328e5724aac14725834e1fd78914f7fe37823bbc6c5814706"},"schema_version":"1.0","source":{"id":"1709.02656","kind":"arxiv","version":3}},"canonical_sha256":"29e8054b1e06b9a4163d2141ef57c9cddb1baa7d22f817cccd65f51cf6c32113","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"29e8054b1e06b9a4163d2141ef57c9cddb1baa7d22f817cccd65f51cf6c32113","first_computed_at":"2026-05-18T00:11:32.452884Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T00:11:32.452884Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"9eph+oqabpkkZQVdeWoW7ZHrncxY6ec1rkdEtsyrI3iY2YLxcKT9iGzDi6GuYvyb8zbbzclhSfSlQgQ+E5wXDg==","signature_status":"signed_v1","signed_at":"2026-05-18T00:11:32.453408Z","signed_message":"canonical_sha256_bytes"},"source_id":"1709.02656","source_kind":"arxiv","source_version":3}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:a6c66eadaf1aad52b4629b2b0122dcef71ffd9cde14387edcfbf0f3e77d8ad1f","sha256:f9cdaa53319731d622331a7741225bf810033c61b451e46c38320cd183ef3424"],"state_sha256":"e457e9c91c4e72f138c52321a98892bba050b0373946e7dd2e070084a716d98c"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"NhX8DT4L6nSDkWxpQoAbAL15yU4A8VK3kZmhQ/9CFeVryeLDhuisU/4L0RLCMy5jRODYxMoasGtwkzzOolufCA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-06-02T23:25:09.305285Z","bundle_sha256":"3a7a35c9b8df5f12dabf99d53974c9806098e9d1900bd54f15abc1e85cd05ebf"}}