{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2025:Q5QYV4QU7V66G4IL7P7NINDQW7","short_pith_number":"pith:Q5QYV4QU","schema_version":"1.0","canonical_sha256":"87618af214fd7de3710bfbfed43470b7da1721ef293cf6fa469ca4fe43ec2800","source":{"kind":"arxiv","id":"2505.08807","version":1},"attestation_state":"computed","paper":{"title":"Security of Internet of Agents: Attacks and Countermeasures","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.AI"],"primary_cat":"cs.CR","authors_text":"Shaolong Guo, Yanghe Pan, Yuntao Wang, Zhou Su","submitted_at":"2025-05-12T02:04:57Z","abstract_excerpt":"With the rise of large language and vision-language models, AI agents have evolved into autonomous, interactive systems capable of perception, reasoning, and decision-making. As they proliferate across virtual and physical domains, the Internet of Agents (IoA) has emerged as a key infrastructure for enabling scalable and secure coordination among heterogeneous agents. This survey offers a comprehensive examination of the security and privacy landscape in IoA systems. We begin by outlining the IoA architecture and its distinct vulnerabilities compared to traditional networks, focusing on four c"},"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":"2505.08807","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CR","submitted_at":"2025-05-12T02:04:57Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"a54aa85e84e968ceadd488dd861a015c8567943616557b37cf39f76142726f83","abstract_canon_sha256":"ff8a725ce159b9bf3a8a267b11bec073aadd1b5c4709fb3866e2ec135a22657d"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T11:02:44.686267Z","signature_b64":"w4yt1tHbR83R4bDBfYf5BzdowR7FEG6XQFzdtYqy7JokvWxbemO6m+4Zs80LDaPM/959txm2LYqREwnYQ5N6AQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"87618af214fd7de3710bfbfed43470b7da1721ef293cf6fa469ca4fe43ec2800","last_reissued_at":"2026-07-05T11:02:44.685776Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T11:02:44.685776Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Security of Internet of Agents: Attacks and Countermeasures","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.AI"],"primary_cat":"cs.CR","authors_text":"Shaolong Guo, Yanghe Pan, Yuntao Wang, Zhou Su","submitted_at":"2025-05-12T02:04:57Z","abstract_excerpt":"With the rise of large language and vision-language models, AI agents have evolved into autonomous, interactive systems capable of perception, reasoning, and decision-making. As they proliferate across virtual and physical domains, the Internet of Agents (IoA) has emerged as a key infrastructure for enabling scalable and secure coordination among heterogeneous agents. This survey offers a comprehensive examination of the security and privacy landscape in IoA systems. We begin by outlining the IoA architecture and its distinct vulnerabilities compared to traditional networks, focusing on four c"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2505.08807","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":""},"integrity":{"clean":true,"summary":{"advisory":0,"critical":0,"by_detector":{},"informational":0},"endpoint":"/pith/2505.08807/integrity.json","findings":[],"available":true,"detectors_run":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938"},"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":"2505.08807","created_at":"2026-07-05T11:02:44.685848+00:00"},{"alias_kind":"arxiv_version","alias_value":"2505.08807v1","created_at":"2026-07-05T11:02:44.685848+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2505.08807","created_at":"2026-07-05T11:02:44.685848+00:00"},{"alias_kind":"pith_short_12","alias_value":"Q5QYV4QU7V66","created_at":"2026-07-05T11:02:44.685848+00:00"},{"alias_kind":"pith_short_16","alias_value":"Q5QYV4QU7V66G4IL","created_at":"2026-07-05T11:02:44.685848+00:00"},{"alias_kind":"pith_short_8","alias_value":"Q5QYV4QU","created_at":"2026-07-05T11:02:44.685848+00:00"}],"events":[],"event_summary":{},"paper_claims":[],"inbound_citations":{"count":1,"internal_anchor_count":0,"sample":[{"citing_arxiv_id":"2606.00962","citing_title":"SS-ZKR: Spatial-Semantic Zero-Knowledge Routing for Privacy-Preserving Multi-Agent Collaboration","ref_index":27,"is_internal_anchor":false}]},"formal_canon":{"evidence_count":0,"sample":[],"anchors":[]},"links":{"html":"https://pith.science/pith/Q5QYV4QU7V66G4IL7P7NINDQW7","json":"https://pith.science/pith/Q5QYV4QU7V66G4IL7P7NINDQW7.json","graph_json":"https://pith.science/api/pith-number/Q5QYV4QU7V66G4IL7P7NINDQW7/graph.json","events_json":"https://pith.science/api/pith-number/Q5QYV4QU7V66G4IL7P7NINDQW7/events.json","paper":"https://pith.science/paper/Q5QYV4QU"},"agent_actions":{"view_html":"https://pith.science/pith/Q5QYV4QU7V66G4IL7P7NINDQW7","download_json":"https://pith.science/pith/Q5QYV4QU7V66G4IL7P7NINDQW7.json","view_paper":"https://pith.science/paper/Q5QYV4QU","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2505.08807&json=true","fetch_graph":"https://pith.science/api/pith-number/Q5QYV4QU7V66G4IL7P7NINDQW7/graph.json","fetch_events":"https://pith.science/api/pith-number/Q5QYV4QU7V66G4IL7P7NINDQW7/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/Q5QYV4QU7V66G4IL7P7NINDQW7/action/timestamp_anchor","attest_storage":"https://pith.science/pith/Q5QYV4QU7V66G4IL7P7NINDQW7/action/storage_attestation","attest_author":"https://pith.science/pith/Q5QYV4QU7V66G4IL7P7NINDQW7/action/author_attestation","sign_citation":"https://pith.science/pith/Q5QYV4QU7V66G4IL7P7NINDQW7/action/citation_signature","submit_replication":"https://pith.science/pith/Q5QYV4QU7V66G4IL7P7NINDQW7/action/replication_record"}},"created_at":"2026-07-05T11:02:44.685848+00:00","updated_at":"2026-07-05T11:02:44.685848+00:00"}