{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2018:P3HOVSF2NVA5RRQIHUHNVZEXDB","short_pith_number":"pith:P3HOVSF2","schema_version":"1.0","canonical_sha256":"7eceeac8ba6d41d8c6083d0edae497186f38af34d26c6e9d4aaff751001c46c1","source":{"kind":"arxiv","id":"1812.05298","version":1},"attestation_state":"computed","paper":{"title":"Cyber-Physical Security and Safety of Autonomous Connected Vehicles: Optimal Control Meets Multi-Armed Bandit Learning","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.LG"],"primary_cat":"cs.SY","authors_text":"Aidin Ferdowsi, Narayan B. Mandayam, Samad Ali, Walid Saad","submitted_at":"2018-12-13T07:36:56Z","abstract_excerpt":"Autonomous connected vehicles (ACVs) rely on intra-vehicle sensors such as camera and radar as well as inter-vehicle communication to operate effectively. This reliance on cyber components exposes ACVs to cyber and physical attacks in which an adversary can manipulate sensor readings and physically take control of an ACV. In this paper, a comprehensive framework is proposed to thwart cyber and physical attacks on ACV networks. First, an optimal safe controller for ACVs is derived to maximize the street traffic flow while minimizing the risk of accidents by optimizing ACV speed and inter-ACV sp"},"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":"1812.05298","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.SY","submitted_at":"2018-12-13T07:36:56Z","cross_cats_sorted":["cs.LG"],"title_canon_sha256":"19455f8181da8121ba7955ee55cc3d0e8f865f7d889cb65007a858b3275ad29e","abstract_canon_sha256":"a28737c86459348ec89802539b8db0650ad1a508a301110b5e988a3b97b57b8c"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-17T23:58:23.891347Z","signature_b64":"OiOB/KGV8AePh9/t2uJ6IGM1jnvjVG65+zN9C0+4fD+u3MRBEqmS9zIvqt9305uswDeb0rOuSsf2Y3oXIqjJCw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"7eceeac8ba6d41d8c6083d0edae497186f38af34d26c6e9d4aaff751001c46c1","last_reissued_at":"2026-05-17T23:58:23.890700Z","signature_status":"signed_v1","first_computed_at":"2026-05-17T23:58:23.890700Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Cyber-Physical Security and Safety of Autonomous Connected Vehicles: Optimal Control Meets Multi-Armed Bandit Learning","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.LG"],"primary_cat":"cs.SY","authors_text":"Aidin Ferdowsi, Narayan B. Mandayam, Samad Ali, Walid Saad","submitted_at":"2018-12-13T07:36:56Z","abstract_excerpt":"Autonomous connected vehicles (ACVs) rely on intra-vehicle sensors such as camera and radar as well as inter-vehicle communication to operate effectively. This reliance on cyber components exposes ACVs to cyber and physical attacks in which an adversary can manipulate sensor readings and physically take control of an ACV. In this paper, a comprehensive framework is proposed to thwart cyber and physical attacks on ACV networks. First, an optimal safe controller for ACVs is derived to maximize the street traffic flow while minimizing the risk of accidents by optimizing ACV speed and inter-ACV sp"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1812.05298","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":"1812.05298","created_at":"2026-05-17T23:58:23.890793+00:00"},{"alias_kind":"arxiv_version","alias_value":"1812.05298v1","created_at":"2026-05-17T23:58:23.890793+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1812.05298","created_at":"2026-05-17T23:58:23.890793+00:00"},{"alias_kind":"pith_short_12","alias_value":"P3HOVSF2NVA5","created_at":"2026-05-18T12:32:43.782077+00:00"},{"alias_kind":"pith_short_16","alias_value":"P3HOVSF2NVA5RRQI","created_at":"2026-05-18T12:32:43.782077+00:00"},{"alias_kind":"pith_short_8","alias_value":"P3HOVSF2","created_at":"2026-05-18T12:32:43.782077+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/P3HOVSF2NVA5RRQIHUHNVZEXDB","json":"https://pith.science/pith/P3HOVSF2NVA5RRQIHUHNVZEXDB.json","graph_json":"https://pith.science/api/pith-number/P3HOVSF2NVA5RRQIHUHNVZEXDB/graph.json","events_json":"https://pith.science/api/pith-number/P3HOVSF2NVA5RRQIHUHNVZEXDB/events.json","paper":"https://pith.science/paper/P3HOVSF2"},"agent_actions":{"view_html":"https://pith.science/pith/P3HOVSF2NVA5RRQIHUHNVZEXDB","download_json":"https://pith.science/pith/P3HOVSF2NVA5RRQIHUHNVZEXDB.json","view_paper":"https://pith.science/paper/P3HOVSF2","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=1812.05298&json=true","fetch_graph":"https://pith.science/api/pith-number/P3HOVSF2NVA5RRQIHUHNVZEXDB/graph.json","fetch_events":"https://pith.science/api/pith-number/P3HOVSF2NVA5RRQIHUHNVZEXDB/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/P3HOVSF2NVA5RRQIHUHNVZEXDB/action/timestamp_anchor","attest_storage":"https://pith.science/pith/P3HOVSF2NVA5RRQIHUHNVZEXDB/action/storage_attestation","attest_author":"https://pith.science/pith/P3HOVSF2NVA5RRQIHUHNVZEXDB/action/author_attestation","sign_citation":"https://pith.science/pith/P3HOVSF2NVA5RRQIHUHNVZEXDB/action/citation_signature","submit_replication":"https://pith.science/pith/P3HOVSF2NVA5RRQIHUHNVZEXDB/action/replication_record"}},"created_at":"2026-05-17T23:58:23.890793+00:00","updated_at":"2026-05-17T23:58:23.890793+00:00"}