{"id":"https://openalex.org/W4386025426","doi":"https://doi.org/10.1145/3606193.3606203","title":"CS-CPA: Packet Loss Recovery for Audio Multimedia Streaming Based on Chained Compressed Sensing","display_name":"CS-CPA: Packet Loss Recovery for Audio Multimedia Streaming Based on Chained Compressed Sensing","publication_year":2023,"publication_date":"2023-03-24","ids":{"openalex":"https://openalex.org/W4386025426","doi":"https://doi.org/10.1145/3606193.3606203"},"language":"en","primary_location":{"id":"doi:10.1145/3606193.3606203","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3606193.3606203","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 5th International Symposium on Signal Processing Systems (SSPS)","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5102995200","display_name":"Jiaxin Zhou","orcid":"https://orcid.org/0000-0002-5253-662X"},"institutions":[{"id":"https://openalex.org/I139024713","display_name":"Guangdong University of Technology","ror":"https://ror.org/04azbjn80","country_code":"CN","type":"education","lineage":["https://openalex.org/I139024713"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiaxin Zhou","raw_affiliation_strings":["School of Information Engineering, Guangdong University of Technology, China"],"raw_orcid":"https://orcid.org/0000-0002-5253-662X","affiliations":[{"raw_affiliation_string":"School of Information Engineering, Guangdong University of Technology, China","institution_ids":["https://openalex.org/I139024713"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100433227","display_name":"Jun Zhang","orcid":"https://orcid.org/0000-0002-9647-0941"},"institutions":[{"id":"https://openalex.org/I139024713","display_name":"Guangdong University of Technology","ror":"https://ror.org/04azbjn80","country_code":"CN","type":"education","lineage":["https://openalex.org/I139024713"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jun Zhang","raw_affiliation_strings":["School of Information Engineering, Guangdong University of Technology, China"],"raw_orcid":"https://orcid.org/0000-0002-9647-0941","affiliations":[{"raw_affiliation_string":"School of Information Engineering, Guangdong University of Technology, China","institution_ids":["https://openalex.org/I139024713"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I139024713"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.21416018,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"57","last_page":"62"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":1.0,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":1.0,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11447","display_name":"Blind Source Separation Techniques","score":0.9987999796867371,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/T11210","display_name":"Mathematical Analysis and Transform Methods","score":0.998199999332428,"subfield":{"id":"https://openalex.org/subfields/2604","display_name":"Applied Mathematics"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7966750860214233},{"id":"https://openalex.org/keywords/packet-loss","display_name":"Packet loss","score":0.7492018938064575},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.6386237740516663},{"id":"https://openalex.org/keywords/encryption","display_name":"Encryption","score":0.5728842616081238},{"id":"https://openalex.org/keywords/network-packet","display_name":"Network packet","score":0.5627989172935486},{"id":"https://openalex.org/keywords/data-loss","display_name":"Data loss","score":0.4502260088920593},{"id":"https://openalex.org/keywords/data-compression","display_name":"Data compression","score":0.4183601438999176},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.38965314626693726},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.24256467819213867}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7966750860214233},{"id":"https://openalex.org/C54108766","wikidata":"https://www.wikidata.org/wiki/Q391064","display_name":"Packet loss","level":3,"score":0.7492018938064575},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.6386237740516663},{"id":"https://openalex.org/C148730421","wikidata":"https://www.wikidata.org/wiki/Q141090","display_name":"Encryption","level":2,"score":0.5728842616081238},{"id":"https://openalex.org/C158379750","wikidata":"https://www.wikidata.org/wiki/Q214111","display_name":"Network packet","level":2,"score":0.5627989172935486},{"id":"https://openalex.org/C193519340","wikidata":"https://www.wikidata.org/wiki/Q891179","display_name":"Data loss","level":2,"score":0.4502260088920593},{"id":"https://openalex.org/C78548338","wikidata":"https://www.wikidata.org/wiki/Q2493","display_name":"Data compression","level":2,"score":0.4183601438999176},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.38965314626693726},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.24256467819213867}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3606193.3606203","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3606193.3606203","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 5th International Symposium on Signal Processing Systems (SSPS)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":23,"referenced_works":["https://openalex.org/W1763925716","https://openalex.org/W1964104034","https://openalex.org/W1964297391","https://openalex.org/W1971086957","https://openalex.org/W2078204800","https://openalex.org/W2082441937","https://openalex.org/W2119667497","https://openalex.org/W2122340891","https://openalex.org/W2134033146","https://openalex.org/W2137539246","https://openalex.org/W2159563318","https://openalex.org/W2169382889","https://openalex.org/W2239886606","https://openalex.org/W2279008931","https://openalex.org/W2512401898","https://openalex.org/W2523137896","https://openalex.org/W2597118285","https://openalex.org/W2898711294","https://openalex.org/W2938096655","https://openalex.org/W2997883686","https://openalex.org/W3102460953","https://openalex.org/W4313590925","https://openalex.org/W4378696927"],"related_works":["https://openalex.org/W2117750089","https://openalex.org/W3199712142","https://openalex.org/W2134402536","https://openalex.org/W2130358998","https://openalex.org/W15825834","https://openalex.org/W1984254555","https://openalex.org/W3215409016","https://openalex.org/W2109223296","https://openalex.org/W2422790644","https://openalex.org/W2095678715"],"abstract_inverted_index":{"Packet":[0],"loss":[1,17,42,52,94,109,135],"is":[2,34,55,115,150],"an":[3],"inevitable":[4],"problem":[5,95],"confronted":[6],"with":[7],"real-time":[8],"audio":[9,21],"transmission":[10],"over":[11],"IP":[12,139],"network.":[13,140],"Recently,":[14],"a":[15,35,71,107,119,126],"packet":[16,41,51,93,108,134],"recovery":[18,47,110],"scheme":[19,37],"for":[20],"multimedia":[22],"streaming":[23],"based":[24],"on":[25],"compressed":[26],"sensing":[27],"(PLRCS)":[28],"has":[29,45,75],"been":[30,77],"proposed.":[31],"While":[32],"PLRCS":[33],"promising":[36],"to":[38,61,79,91,117,154],"resist":[39,165],"the":[40,50,58,63,68,86,92,133,138,147,160],"problem,":[43],"it":[44],"poor":[46],"performance":[48],"when":[49],"rate":[53],"(PLR)":[54],"high.":[56],"On":[57],"other":[59],"hand,":[60],"improve":[62],"data":[64,69],"security":[65],"and":[66,102,132,142,174],"reduce":[67],"volume,":[70],"chained":[72],"CS":[73,101],"(CCS)":[74],"also":[76,163],"proposed":[78,148],"provide":[80],"lightweight":[81],"encryption":[82],"of":[83,159],"data.":[84],"However,":[85],"CCS":[87],"cannot":[88],"be":[89],"applied":[90],"directly.":[96],"In":[97],"this":[98],"paper,":[99],"combining":[100],"chain":[103],"technology,":[104],"we":[105],"propose":[106],"scheme,":[111],"namely":[112],"CS-CPA,":[113],"which":[114],"equivalent":[116],"designing":[118],"structurally":[120],"random":[121],"matrix":[122,130],"(SRM)":[123],"by":[124],"incorporating":[125],"predetermined":[127],"spare":[128],"binary":[129],"(SBM)":[131],"process":[136],"in":[137,157],"Experimental":[141],"analytical":[143],"results":[144],"show":[145],"that,":[146],"CS-CPA":[149],"not":[151],"only":[152],"superior":[153],"previous":[155],"methods":[156],"terms":[158],"recoverability,":[161],"but":[162],"can":[164],"several":[166],"potential":[167],"attacks,":[168],"such":[169],"as":[170],"ciphertext-only":[171],"attacks":[172,176],"(COA)":[173],"known-plaintext":[175],"(KPA).":[177]},"counts_by_year":[],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
