{"id":"https://openalex.org/W3015015143","doi":"https://doi.org/10.1109/access.2020.2984283","title":"RFPS: A Robust Feature Points Detection of Audio Watermarking for Against Desynchronization Attacks in Cyber Security","display_name":"RFPS: A Robust Feature Points Detection of Audio Watermarking for Against Desynchronization Attacks in Cyber Security","publication_year":2020,"publication_date":"2020-01-01","ids":{"openalex":"https://openalex.org/W3015015143","doi":"https://doi.org/10.1109/access.2020.2984283","mag":"3015015143"},"language":"en","primary_location":{"id":"doi:10.1109/access.2020.2984283","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2020.2984283","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8948470/09050747.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://ieeexplore.ieee.org/ielx7/6287639/8948470/09050747.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5082286929","display_name":"Wenhuan Lu","orcid":"https://orcid.org/0000-0002-7951-8907"},"institutions":[{"id":"https://openalex.org/I162868743","display_name":"Tianjin University","ror":"https://ror.org/012tb2g32","country_code":"CN","type":"education","lineage":["https://openalex.org/I162868743"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Wenhuan Lu","raw_affiliation_strings":["College of Intelligence and Computing, Tianjin University, Tianjin, China"],"raw_orcid":"https://orcid.org/0000-0002-7951-8907","affiliations":[{"raw_affiliation_string":"College of Intelligence and Computing, Tianjin University, Tianjin, China","institution_ids":["https://openalex.org/I162868743"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100435335","display_name":"Ling Li","orcid":"https://orcid.org/0000-0002-2499-9141"},"institutions":[{"id":"https://openalex.org/I162868743","display_name":"Tianjin University","ror":"https://ror.org/012tb2g32","country_code":"CN","type":"education","lineage":["https://openalex.org/I162868743"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ling Li","raw_affiliation_strings":["College of Intelligence and Computing, Tianjin University, Tianjin, China"],"raw_orcid":"https://orcid.org/0000-0002-2499-9141","affiliations":[{"raw_affiliation_string":"College of Intelligence and Computing, Tianjin University, Tianjin, China","institution_ids":["https://openalex.org/I162868743"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100654741","display_name":"Yuqing He","orcid":"https://orcid.org/0000-0003-1666-4330"},"institutions":[{"id":"https://openalex.org/I162868743","display_name":"Tianjin University","ror":"https://ror.org/012tb2g32","country_code":"CN","type":"education","lineage":["https://openalex.org/I162868743"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuqing He","raw_affiliation_strings":["School of Electrical and Information Engineering, Tianjin University, Tianjin, China"],"raw_orcid":"https://orcid.org/0000-0003-1666-4330","affiliations":[{"raw_affiliation_string":"School of Electrical and Information Engineering, Tianjin University, Tianjin, China","institution_ids":["https://openalex.org/I162868743"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5027428789","display_name":"Jianguo Wei","orcid":"https://orcid.org/0000-0002-8964-9759"},"institutions":[{"id":"https://openalex.org/I162868743","display_name":"Tianjin University","ror":"https://ror.org/012tb2g32","country_code":"CN","type":"education","lineage":["https://openalex.org/I162868743"]},{"id":"https://openalex.org/I290007724","display_name":"Qinghai University for Nationalities","ror":"https://ror.org/01e7csr82","country_code":"CN","type":"education","lineage":["https://openalex.org/I290007724"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jianguo Wei","raw_affiliation_strings":["College of Intelligence and Computing, Tianjin University, Tianjin, China","School of Computer Science, Qinghai Nationalities University, Xining, China"],"raw_orcid":"https://orcid.org/0000-0002-8964-9759","affiliations":[{"raw_affiliation_string":"College of Intelligence and Computing, Tianjin University, Tianjin, China","institution_ids":["https://openalex.org/I162868743"]},{"raw_affiliation_string":"School of Computer Science, Qinghai Nationalities University, Xining, China","institution_ids":["https://openalex.org/I290007724"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5103216531","display_name":"Naixue Xiong","orcid":"https://orcid.org/0000-0002-0394-4635"},"institutions":[{"id":"https://openalex.org/I162868743","display_name":"Tianjin University","ror":"https://ror.org/012tb2g32","country_code":"CN","type":"education","lineage":["https://openalex.org/I162868743"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Neal N. Xiong","raw_affiliation_strings":["College of Intelligence and Computing, Tianjin University, Tianjin, China"],"raw_orcid":"https://orcid.org/0000-0002-0394-4635","affiliations":[{"raw_affiliation_string":"College of Intelligence and Computing, Tianjin University, Tianjin, China","institution_ids":["https://openalex.org/I162868743"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5082286929"],"corresponding_institution_ids":["https://openalex.org/I162868743"],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":1.2749,"has_fulltext":true,"cited_by_count":26,"citation_normalized_percentile":{"value":0.82251627,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":"8","issue":null,"first_page":"63643","last_page":"63653"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10388","display_name":"Advanced Steganography and Watermarking Techniques","score":1.0,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10388","display_name":"Advanced Steganography and Watermarking Techniques","score":1.0,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T12357","display_name":"Digital Media Forensic Detection","score":0.9998000264167786,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11017","display_name":"Chaos-based Image/Signal Encryption","score":0.9995999932289124,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/digital-watermarking","display_name":"Digital watermarking","score":0.8120824098587036},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7839944362640381},{"id":"https://openalex.org/keywords/watermark","display_name":"Watermark","score":0.7424782514572144},{"id":"https://openalex.org/keywords/encryption","display_name":"Encryption","score":0.5812373757362366},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.48680612444877625},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.45050951838493347},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.3798280358314514},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.36075907945632935},{"id":"https://openalex.org/keywords/embedding","display_name":"Embedding","score":0.3402513861656189},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3340698778629303},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.2660841643810272}],"concepts":[{"id":"https://openalex.org/C150817343","wikidata":"https://www.wikidata.org/wiki/Q875932","display_name":"Digital watermarking","level":3,"score":0.8120824098587036},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7839944362640381},{"id":"https://openalex.org/C164112704","wikidata":"https://www.wikidata.org/wiki/Q7974348","display_name":"Watermark","level":3,"score":0.7424782514572144},{"id":"https://openalex.org/C148730421","wikidata":"https://www.wikidata.org/wiki/Q141090","display_name":"Encryption","level":2,"score":0.5812373757362366},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.48680612444877625},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.45050951838493347},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.3798280358314514},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.36075907945632935},{"id":"https://openalex.org/C41608201","wikidata":"https://www.wikidata.org/wiki/Q980509","display_name":"Embedding","level":2,"score":0.3402513861656189},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3340698778629303},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.2660841643810272},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2020.2984283","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2020.2984283","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8948470/09050747.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:926b8e2cc2a44829a6470accaabfcdc0","is_oa":true,"landing_page_url":"https://doaj.org/article/926b8e2cc2a44829a6470accaabfcdc0","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Access, Vol 8, Pp 63643-63653 (2020)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2020.2984283","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2020.2984283","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8948470/09050747.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G5251295827","display_name":null,"funder_award_id":"61573254","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G702116831","display_name":null,"funder_award_id":"61876131","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3015015143.pdf","grobid_xml":"https://content.openalex.org/works/W3015015143.grobid-xml"},"referenced_works_count":42,"referenced_works":["https://openalex.org/W849365651","https://openalex.org/W1519471955","https://openalex.org/W1542103719","https://openalex.org/W1666738222","https://openalex.org/W1969548092","https://openalex.org/W1970984047","https://openalex.org/W1972502716","https://openalex.org/W1989138358","https://openalex.org/W2017300999","https://openalex.org/W2033911870","https://openalex.org/W2076899745","https://openalex.org/W2079736071","https://openalex.org/W2084936871","https://openalex.org/W2096015107","https://openalex.org/W2101303723","https://openalex.org/W2101903867","https://openalex.org/W2102986994","https://openalex.org/W2105301089","https://openalex.org/W2107465879","https://openalex.org/W2116467012","https://openalex.org/W2122380698","https://openalex.org/W2124355377","https://openalex.org/W2134069026","https://openalex.org/W2151583613","https://openalex.org/W2160438444","https://openalex.org/W2160921333","https://openalex.org/W2339254090","https://openalex.org/W2433003374","https://openalex.org/W2541618035","https://openalex.org/W2738166615","https://openalex.org/W2746816686","https://openalex.org/W2753751342","https://openalex.org/W2773215876","https://openalex.org/W2792803853","https://openalex.org/W2884723473","https://openalex.org/W2893249048","https://openalex.org/W2912150817","https://openalex.org/W2937030753","https://openalex.org/W2981244957","https://openalex.org/W2999583500","https://openalex.org/W6637089630","https://openalex.org/W6674301311"],"related_works":["https://openalex.org/W2137394636","https://openalex.org/W2358993821","https://openalex.org/W1516446231","https://openalex.org/W2098152888","https://openalex.org/W1559740347","https://openalex.org/W2040356834","https://openalex.org/W2080353903","https://openalex.org/W2385289568","https://openalex.org/W2381486749","https://openalex.org/W1514507288"],"abstract_inverted_index":{"Digital":[0],"watermarking":[1],"is":[2],"an":[3],"effective":[4],"covert":[5,38],"communication":[6,39],"technique":[7],"in":[8,17,36,47,147],"the":[9,15,22,30,37,67,72,76,92,97,133,138,148,151,155,163],"military":[10],"field,":[11],"which":[12],"can":[13,27,136],"solve":[14],"problems":[16],"traditional":[18],"encryption.":[19],"In":[20,51],"general,":[21],"Spread":[23],"Spectrum":[24],"(SS)":[25],"algorithm":[26],"well":[28],"satisfy":[29],"requirements":[31],"of":[32,71,75,150],"concealment":[33],"and":[34,91,107,117],"anti-interference":[35],"process.":[40,109],"However,":[41],"it":[42],"has":[43,158],"a":[44,56,88],"natural":[45],"defect":[46],"resisting":[48],"desynchronization":[49,63],"attacks.":[50,123],"this":[52],"paper,":[53],"we":[54],"propose":[55],"Robust":[57],"Feature":[58],"Points":[59],"Scheme":[60],"(RFPS)":[61],"against":[62],"attacks":[64,116],"by":[65],"calculating":[66],"maximum":[68,81],"response":[69,82],"value":[70,83],"second-order":[73],"derivative":[74],"original":[77],"audio":[78,93],"signal.":[79],"The":[80,124],"will":[84],"be":[85],"used":[86],"as":[87],"feature":[89,99],"point":[90],"segments":[94],"centering":[95],"at":[96],"detected":[98],"points":[100],"are":[101],"extracted":[102],"for":[103],"both":[104],"watermark":[105,139],"embedding":[106],"extraction":[108],"This":[110],"study":[111],"mainly":[112],"focuses":[113],"on":[114],"cropping":[115,131],"pitch":[118],"invariant":[119],"Time-Scale":[120],"Modification":[121],"(TSM)":[122],"experimental":[125],"results":[126],"show":[127],"that":[128],"under":[129],"non-uniform":[130],"attacks,":[132,154],"proposed":[134,156],"method":[135],"extract":[137],"information":[140],"without":[141],"any":[142],"bit":[143],"error":[144],"rate.":[145],"Even":[146],"case":[149],"pitch-invariant":[152],"TSM":[153],"scheme":[157],"great":[159],"improvement":[160],"compared":[161],"with":[162],"existing":[164],"works.":[165]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":8},{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":6},{"year":2021,"cited_by_count":4},{"year":2020,"cited_by_count":2}],"updated_date":"2026-05-06T08:25:59.206177","created_date":"2025-10-10T00:00:00"}