{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2020:BXS5NKQUXIM3NITP6OKHO5LE44","short_pith_number":"pith:BXS5NKQU","canonical_record":{"source":{"id":"2011.05218","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CR","submitted_at":"2020-11-10T16:18:39Z","cross_cats_sorted":["cs.SE"],"title_canon_sha256":"0c8fb34b7d0702d60c997a0afe6b0224fbcf04c21276732945f8d5aaf881ecef","abstract_canon_sha256":"9c7cd7e6d4945b7ee1bd826f67766fab1734d09b046811458add963ff2038aae"},"schema_version":"1.0"},"canonical_sha256":"0de5d6aa14ba19b6a26ff394777564e716063920ffbff572b47481a14b6bbc28","source":{"kind":"arxiv","id":"2011.05218","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2011.05218","created_at":"2026-07-05T01:50:44Z"},{"alias_kind":"arxiv_version","alias_value":"2011.05218v1","created_at":"2026-07-05T01:50:44Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2011.05218","created_at":"2026-07-05T01:50:44Z"},{"alias_kind":"pith_short_12","alias_value":"BXS5NKQUXIM3","created_at":"2026-07-05T01:50:44Z"},{"alias_kind":"pith_short_16","alias_value":"BXS5NKQUXIM3NITP","created_at":"2026-07-05T01:50:44Z"},{"alias_kind":"pith_short_8","alias_value":"BXS5NKQU","created_at":"2026-07-05T01:50:44Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2020:BXS5NKQUXIM3NITP6OKHO5LE44","target":"record","payload":{"canonical_record":{"source":{"id":"2011.05218","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CR","submitted_at":"2020-11-10T16:18:39Z","cross_cats_sorted":["cs.SE"],"title_canon_sha256":"0c8fb34b7d0702d60c997a0afe6b0224fbcf04c21276732945f8d5aaf881ecef","abstract_canon_sha256":"9c7cd7e6d4945b7ee1bd826f67766fab1734d09b046811458add963ff2038aae"},"schema_version":"1.0"},"canonical_sha256":"0de5d6aa14ba19b6a26ff394777564e716063920ffbff572b47481a14b6bbc28","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T01:50:44.816848Z","signature_b64":"MFdGFXaEDRLRo6Vjr9IhRayBKX4thWe+LIVxW5HhHe+0CGajrUtEhvXo2wVWILWddOtr77eQPxApPOE967SjCQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"0de5d6aa14ba19b6a26ff394777564e716063920ffbff572b47481a14b6bbc28","last_reissued_at":"2026-07-05T01:50:44.816456Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T01:50:44.816456Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2011.05218","source_version":1,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T01:50:44Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"izkIq9GtDevYmgv+OXqAsN9LrF7K89wKFtgNqUl1oAOqOIdLlY2W713U4xL+ZD+Qb7ujsYlelpaKCEFmZysDCA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-13T05:19:25.406998Z"},"content_sha256":"d1469886eb5b2538e03739020317737cb6cccf0609c02108ab9ea06936cd7aa3","schema_version":"1.0","event_id":"sha256:d1469886eb5b2538e03739020317737cb6cccf0609c02108ab9ea06936cd7aa3"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2020:BXS5NKQUXIM3NITP6OKHO5LE44","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"SeqMobile: A Sequence Based Efficient Android Malware Detection System Using RNN on Mobile Devices","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.SE"],"primary_cat":"cs.CR","authors_text":"Jing Qiang Lim, Ruitao Feng, Sen Chen, Shang-Wei Lin, Yang Liu","submitted_at":"2020-11-10T16:18:39Z","abstract_excerpt":"With the proliferation of Android malware, the demand for an effective and efficient malware detection system is on the rise. The existing device-end learning based solutions tend to extract limited syntax features (e.g., permissions and API calls) to meet a certain time constraint of mobile devices. However, syntax features lack the semantics which can represent the potential malicious behaviors and further result in more robust model with high accuracy for malware detection. In this paper, we propose an efficient Android malware detection system, named SeqMobile, which adopts behavior-based "},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2011.05218","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/2011.05218/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"},"verdict_id":null},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T01:50:44Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"lrpYIKRPKG0FG8FqsRelzBTVlj8216trJW4RF6rBhGt7lKqGYY1i0qv0ZXlL5IDxIPc90Abrgip9/RtaKJ5QCw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-13T05:19:25.407531Z"},"content_sha256":"33830d2649d09439dba2adb52160ceeca83e65e614d5acb06ba863e0b51691b9","schema_version":"1.0","event_id":"sha256:33830d2649d09439dba2adb52160ceeca83e65e614d5acb06ba863e0b51691b9"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/BXS5NKQUXIM3NITP6OKHO5LE44/bundle.json","state_url":"https://pith.science/pith/BXS5NKQUXIM3NITP6OKHO5LE44/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/BXS5NKQUXIM3NITP6OKHO5LE44/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":"2026-08-13T05:19:25Z","links":{"resolver":"https://pith.science/pith/BXS5NKQUXIM3NITP6OKHO5LE44","bundle":"https://pith.science/pith/BXS5NKQUXIM3NITP6OKHO5LE44/bundle.json","state":"https://pith.science/pith/BXS5NKQUXIM3NITP6OKHO5LE44/state.json","well_known_bundle":"https://pith.science/.well-known/pith/BXS5NKQUXIM3NITP6OKHO5LE44/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2020:BXS5NKQUXIM3NITP6OKHO5LE44","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":"9c7cd7e6d4945b7ee1bd826f67766fab1734d09b046811458add963ff2038aae","cross_cats_sorted":["cs.SE"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CR","submitted_at":"2020-11-10T16:18:39Z","title_canon_sha256":"0c8fb34b7d0702d60c997a0afe6b0224fbcf04c21276732945f8d5aaf881ecef"},"schema_version":"1.0","source":{"id":"2011.05218","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2011.05218","created_at":"2026-07-05T01:50:44Z"},{"alias_kind":"arxiv_version","alias_value":"2011.05218v1","created_at":"2026-07-05T01:50:44Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2011.05218","created_at":"2026-07-05T01:50:44Z"},{"alias_kind":"pith_short_12","alias_value":"BXS5NKQUXIM3","created_at":"2026-07-05T01:50:44Z"},{"alias_kind":"pith_short_16","alias_value":"BXS5NKQUXIM3NITP","created_at":"2026-07-05T01:50:44Z"},{"alias_kind":"pith_short_8","alias_value":"BXS5NKQU","created_at":"2026-07-05T01:50:44Z"}],"graph_snapshots":[{"event_id":"sha256:33830d2649d09439dba2adb52160ceeca83e65e614d5acb06ba863e0b51691b9","target":"graph","created_at":"2026-07-05T01:50:44Z","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/2011.05218/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"With the proliferation of Android malware, the demand for an effective and efficient malware detection system is on the rise. The existing device-end learning based solutions tend to extract limited syntax features (e.g., permissions and API calls) to meet a certain time constraint of mobile devices. However, syntax features lack the semantics which can represent the potential malicious behaviors and further result in more robust model with high accuracy for malware detection. In this paper, we propose an efficient Android malware detection system, named SeqMobile, which adopts behavior-based ","authors_text":"Jing Qiang Lim, Ruitao Feng, Sen Chen, Shang-Wei Lin, Yang Liu","cross_cats":["cs.SE"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CR","submitted_at":"2020-11-10T16:18:39Z","title":"SeqMobile: A Sequence Based Efficient Android Malware Detection System Using RNN on Mobile Devices"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2011.05218","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:d1469886eb5b2538e03739020317737cb6cccf0609c02108ab9ea06936cd7aa3","target":"record","created_at":"2026-07-05T01:50:44Z","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":"9c7cd7e6d4945b7ee1bd826f67766fab1734d09b046811458add963ff2038aae","cross_cats_sorted":["cs.SE"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CR","submitted_at":"2020-11-10T16:18:39Z","title_canon_sha256":"0c8fb34b7d0702d60c997a0afe6b0224fbcf04c21276732945f8d5aaf881ecef"},"schema_version":"1.0","source":{"id":"2011.05218","kind":"arxiv","version":1}},"canonical_sha256":"0de5d6aa14ba19b6a26ff394777564e716063920ffbff572b47481a14b6bbc28","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"0de5d6aa14ba19b6a26ff394777564e716063920ffbff572b47481a14b6bbc28","first_computed_at":"2026-07-05T01:50:44.816456Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T01:50:44.816456Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"MFdGFXaEDRLRo6Vjr9IhRayBKX4thWe+LIVxW5HhHe+0CGajrUtEhvXo2wVWILWddOtr77eQPxApPOE967SjCQ==","signature_status":"signed_v1","signed_at":"2026-07-05T01:50:44.816848Z","signed_message":"canonical_sha256_bytes"},"source_id":"2011.05218","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:d1469886eb5b2538e03739020317737cb6cccf0609c02108ab9ea06936cd7aa3","sha256:33830d2649d09439dba2adb52160ceeca83e65e614d5acb06ba863e0b51691b9"],"state_sha256":"d07716c7274a825eebdc7d23608369c167f83e64f3d04cb8d3645b09e039a9bd"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"N2fG3y2rXp9ynNJUpRJ4y+JCCInIf85bdTA/f4f2mwZd45xlJ6nNsRGe+bQwmlvIrace1UhX4SRHPPHhYVYOCg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-13T05:19:25.414270Z","bundle_sha256":"0b7884426cc8fc428d1e848b15a12a23ffd3c5ea42d485b9db396d8aa39af513"}}