{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2017:XKVS2GDN7NXV3MRC5UVHG3AWEY","short_pith_number":"pith:XKVS2GDN","schema_version":"1.0","canonical_sha256":"baab2d186dfb6f5db222ed2a736c162606524b310620844f94eb7c75940b7d35","source":{"kind":"arxiv","id":"1711.02826","version":1},"attestation_state":"computed","paper":{"title":"Probability Risk Identification Based Intrusion Detection System for SCADA Systems","license":"http://creativecommons.org/publicdomain/zero/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CR","authors_text":"Elena Sitnikova, Gideon Creech, Nour Moustafa, Thomas Marsden","submitted_at":"2017-11-08T04:43:46Z","abstract_excerpt":". As Supervisory Control and Data Acquisition (SCADA) systems control several critical infrastructures, they have connected to the internet. Consequently, SCADA systems face different sophisticated types of cyber adversaries. This paper suggests a Probability Risk Identification based Intrusion Detection System (PRI-IDS) technique based on analysing network traffic of Modbus TCP/IP for identifying replay attacks. It is acknowledged that Modbus TCP is usually vulnerable due to its unauthenticated and unencrypted nature. Our technique is evaluated using a simulation environment by configuring a "},"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":"1711.02826","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/publicdomain/zero/1.0/","primary_cat":"cs.CR","submitted_at":"2017-11-08T04:43:46Z","cross_cats_sorted":[],"title_canon_sha256":"249f7f953715aa1ebfd3a77edfd738fab6bd5f2d22786075af91d769c730ff4d","abstract_canon_sha256":"50c137d928d243a2aaed5da5f23a1a6f09756189d02521cd078c086e82e40382"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T00:31:01.622574Z","signature_b64":"6NqLXmlXmHQ0/ijQy8gZuwqOKydI6hp8troAopkAU2wM6sIe+PUikwZuUIGB22RacK8GY2xgoJjnLuTtFpsFAQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"baab2d186dfb6f5db222ed2a736c162606524b310620844f94eb7c75940b7d35","last_reissued_at":"2026-05-18T00:31:01.621866Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T00:31:01.621866Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Probability Risk Identification Based Intrusion Detection System for SCADA Systems","license":"http://creativecommons.org/publicdomain/zero/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CR","authors_text":"Elena Sitnikova, Gideon Creech, Nour Moustafa, Thomas Marsden","submitted_at":"2017-11-08T04:43:46Z","abstract_excerpt":". As Supervisory Control and Data Acquisition (SCADA) systems control several critical infrastructures, they have connected to the internet. Consequently, SCADA systems face different sophisticated types of cyber adversaries. This paper suggests a Probability Risk Identification based Intrusion Detection System (PRI-IDS) technique based on analysing network traffic of Modbus TCP/IP for identifying replay attacks. It is acknowledged that Modbus TCP is usually vulnerable due to its unauthenticated and unencrypted nature. Our technique is evaluated using a simulation environment by configuring a "},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1711.02826","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":"1711.02826","created_at":"2026-05-18T00:31:01.621978+00:00"},{"alias_kind":"arxiv_version","alias_value":"1711.02826v1","created_at":"2026-05-18T00:31:01.621978+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1711.02826","created_at":"2026-05-18T00:31:01.621978+00:00"},{"alias_kind":"pith_short_12","alias_value":"XKVS2GDN7NXV","created_at":"2026-05-18T12:31:56.362134+00:00"},{"alias_kind":"pith_short_16","alias_value":"XKVS2GDN7NXV3MRC","created_at":"2026-05-18T12:31:56.362134+00:00"},{"alias_kind":"pith_short_8","alias_value":"XKVS2GDN","created_at":"2026-05-18T12:31:56.362134+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/XKVS2GDN7NXV3MRC5UVHG3AWEY","json":"https://pith.science/pith/XKVS2GDN7NXV3MRC5UVHG3AWEY.json","graph_json":"https://pith.science/api/pith-number/XKVS2GDN7NXV3MRC5UVHG3AWEY/graph.json","events_json":"https://pith.science/api/pith-number/XKVS2GDN7NXV3MRC5UVHG3AWEY/events.json","paper":"https://pith.science/paper/XKVS2GDN"},"agent_actions":{"view_html":"https://pith.science/pith/XKVS2GDN7NXV3MRC5UVHG3AWEY","download_json":"https://pith.science/pith/XKVS2GDN7NXV3MRC5UVHG3AWEY.json","view_paper":"https://pith.science/paper/XKVS2GDN","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=1711.02826&json=true","fetch_graph":"https://pith.science/api/pith-number/XKVS2GDN7NXV3MRC5UVHG3AWEY/graph.json","fetch_events":"https://pith.science/api/pith-number/XKVS2GDN7NXV3MRC5UVHG3AWEY/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/XKVS2GDN7NXV3MRC5UVHG3AWEY/action/timestamp_anchor","attest_storage":"https://pith.science/pith/XKVS2GDN7NXV3MRC5UVHG3AWEY/action/storage_attestation","attest_author":"https://pith.science/pith/XKVS2GDN7NXV3MRC5UVHG3AWEY/action/author_attestation","sign_citation":"https://pith.science/pith/XKVS2GDN7NXV3MRC5UVHG3AWEY/action/citation_signature","submit_replication":"https://pith.science/pith/XKVS2GDN7NXV3MRC5UVHG3AWEY/action/replication_record"}},"created_at":"2026-05-18T00:31:01.621978+00:00","updated_at":"2026-05-18T00:31:01.621978+00:00"}