{"id":"https://openalex.org/W2971555713","doi":"https://doi.org/10.1109/codit.2019.8820553","title":"On the effectiveness of MH-based joint-decoders for very short Tardos fingerprinting codes","display_name":"On the effectiveness of MH-based joint-decoders for very short Tardos fingerprinting codes","publication_year":2019,"publication_date":"2019-04-01","ids":{"openalex":"https://openalex.org/W2971555713","doi":"https://doi.org/10.1109/codit.2019.8820553","mag":"2971555713"},"language":"en","primary_location":{"id":"doi:10.1109/codit.2019.8820553","is_oa":false,"landing_page_url":"https://doi.org/10.1109/codit.2019.8820553","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 6th International Conference on Control, Decision and Information Technologies (CoDIT)","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/A5043055064","display_name":"Bettina Fazzinga","orcid":"https://orcid.org/0000-0001-8611-2377"},"institutions":[{"id":"https://openalex.org/I3005160176","display_name":"Institute for High Performance Computing and Networking","ror":"https://ror.org/04r5fge26","country_code":"IT","type":"facility","lineage":["https://openalex.org/I3005160176","https://openalex.org/I4210155236"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Bettina Fazzinga","raw_affiliation_strings":["ICAR-CNR, Rende, CS, Italy"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"ICAR-CNR, Rende, CS, Italy","institution_ids":["https://openalex.org/I3005160176"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5002811447","display_name":"Sergio Flesca","orcid":"https://orcid.org/0000-0002-4164-940X"},"institutions":[{"id":"https://openalex.org/I45204951","display_name":"University of Calabria","ror":"https://ror.org/02rc97e94","country_code":"IT","type":"education","lineage":["https://openalex.org/I45204951"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Sergio Flesca","raw_affiliation_strings":["DIMES, University of Calabria, Rende, CS, Italy"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"DIMES, University of Calabria, Rende, CS, Italy","institution_ids":["https://openalex.org/I45204951"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5050801592","display_name":"Filippo Furfaro","orcid":"https://orcid.org/0000-0001-5145-1301"},"institutions":[{"id":"https://openalex.org/I45204951","display_name":"University of Calabria","ror":"https://ror.org/02rc97e94","country_code":"IT","type":"education","lineage":["https://openalex.org/I45204951"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Filippo Furfaro","raw_affiliation_strings":["DIMES, University of Calabria, Rende, CS, Italy"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"DIMES, University of Calabria, Rende, CS, Italy","institution_ids":["https://openalex.org/I45204951"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5005904043","display_name":"Elio Masciari","orcid":"https://orcid.org/0000-0002-1778-5321"},"institutions":[{"id":"https://openalex.org/I3005160176","display_name":"Institute for High Performance Computing and Networking","ror":"https://ror.org/04r5fge26","country_code":"IT","type":"facility","lineage":["https://openalex.org/I3005160176","https://openalex.org/I4210155236"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Elio Masciari","raw_affiliation_strings":["ICAR-CNR, Rende, CS, Italy"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"ICAR-CNR, Rende, CS, Italy","institution_ids":["https://openalex.org/I3005160176"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"928","last_page":"933"},"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":0.9929999709129333,"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":0.9891999959945679,"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/computer-science","display_name":"Computer science","score":0.8156445026397705},{"id":"https://openalex.org/keywords/usable","display_name":"USable","score":0.7925887703895569},{"id":"https://openalex.org/keywords/decoding-methods","display_name":"Decoding methods","score":0.7581325769424438},{"id":"https://openalex.org/keywords/fingerprint","display_name":"Fingerprint (computing)","score":0.7043198347091675},{"id":"https://openalex.org/keywords/joint","display_name":"Joint (building)","score":0.4466439187526703},{"id":"https://openalex.org/keywords/fingerprint-recognition","display_name":"Fingerprint recognition","score":0.44586387276649475},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4344879984855652},{"id":"https://openalex.org/keywords/schema","display_name":"Schema (genetic algorithms)","score":0.4214555621147156},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.3768347501754761},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.25959810614585876},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.2303956151008606},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.17194044589996338},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.07926875352859497}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8156445026397705},{"id":"https://openalex.org/C2780615836","wikidata":"https://www.wikidata.org/wiki/Q2471869","display_name":"USable","level":2,"score":0.7925887703895569},{"id":"https://openalex.org/C57273362","wikidata":"https://www.wikidata.org/wiki/Q576722","display_name":"Decoding methods","level":2,"score":0.7581325769424438},{"id":"https://openalex.org/C2777826928","wikidata":"https://www.wikidata.org/wiki/Q3745713","display_name":"Fingerprint (computing)","level":2,"score":0.7043198347091675},{"id":"https://openalex.org/C18555067","wikidata":"https://www.wikidata.org/wiki/Q8375051","display_name":"Joint (building)","level":2,"score":0.4466439187526703},{"id":"https://openalex.org/C168406668","wikidata":"https://www.wikidata.org/wiki/Q178022","display_name":"Fingerprint recognition","level":3,"score":0.44586387276649475},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4344879984855652},{"id":"https://openalex.org/C52146309","wikidata":"https://www.wikidata.org/wiki/Q7431116","display_name":"Schema (genetic algorithms)","level":2,"score":0.4214555621147156},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.3768347501754761},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.25959810614585876},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.2303956151008606},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.17194044589996338},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.07926875352859497},{"id":"https://openalex.org/C170154142","wikidata":"https://www.wikidata.org/wiki/Q150737","display_name":"Architectural engineering","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/codit.2019.8820553","is_oa":false,"landing_page_url":"https://doi.org/10.1109/codit.2019.8820553","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 6th International Conference on Control, Decision and Information Technologies (CoDIT)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Peace, Justice and strong institutions","id":"https://metadata.un.org/sdg/16","score":0.6100000143051147}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":15,"referenced_works":["https://openalex.org/W1508249720","https://openalex.org/W1560505065","https://openalex.org/W1576719778","https://openalex.org/W1583158491","https://openalex.org/W1968422945","https://openalex.org/W1977832049","https://openalex.org/W2031722321","https://openalex.org/W2092811336","https://openalex.org/W2125330192","https://openalex.org/W2157531972","https://openalex.org/W2544969453","https://openalex.org/W2739781038","https://openalex.org/W3098966324","https://openalex.org/W4230834613","https://openalex.org/W4241113346"],"related_works":["https://openalex.org/W3014822659","https://openalex.org/W2117826006","https://openalex.org/W4362496757","https://openalex.org/W2051501574","https://openalex.org/W2124627279","https://openalex.org/W2050967184","https://openalex.org/W2566091814","https://openalex.org/W2114937328","https://openalex.org/W2148654711","https://openalex.org/W2608025327"],"abstract_inverted_index":{"Digital":[0],"content":[1],"piracy":[2],"is":[3,106],"nowadays":[4],"really":[5],"burden-some":[6],"both":[7],"for":[8,31,54,90],"companies":[9],"and":[10,71],"professionals.":[11],"To":[12,109],"overcome":[13],"this":[14,111,123],"problem,":[15],"digital":[16,28],"data":[17],"producers":[18],"usually":[19],"protect":[20],"their":[21,36,69,79],"documents":[22,37],"from":[23],"illegal":[24],"distributions":[25],"by":[26,66],"leveraging":[27],"fingerprinting":[29,85,104],"techniques":[30,115],"marking":[32],"each":[33],"copy":[34],"of":[35,131,143,150],"in":[38,45,78,138,157],"order":[39],"to":[40,147],"uniquely":[41],"identify":[42],"it.":[43],"Unfortunately,":[44],"the":[46,63,73,100,103,132,141,145,151],"case":[47],"that":[48,76,102],"multiple":[49],"malicious":[50],"users":[51],"jointly":[52],"collaborate":[53],"illegally":[55],"sharing":[56],"a":[57,92,127],"document":[58],"copy,":[59],"they":[60],"may":[61],"forge":[62],"embedded":[64],"fingerprint":[65],"simply":[67],"comparing":[68],"copies":[70],"modifying":[72],"fingerprint's":[74],"bits":[75],"differ":[77],"copies.":[80],"In":[81,122],"[1]":[82],"an":[83],"optimal":[84],"schema":[86],"has":[87],"been":[88,117],"defined":[89,137],"accusing":[91],"guilty":[93],"user":[94],"with":[95,140],"very":[96],"high":[97],"probability":[98],"under":[99],"assumption":[101],"code":[105],"sufficiently":[107],"long.":[108],"remove":[110],"assumption,":[112],"several":[113],"joint-decoding":[114,135],"have":[116],"recently":[118],"proposed":[119],"[2],":[120],"[3].":[121],"work,":[124],"we":[125],"perform":[126],"deep":[128],"experimental":[129],"analysis":[130],"Metropolis-Hastings":[133],"based":[134],"approach":[136],"[3],":[139],"aim":[142],"assessing":[144],"sensitivity":[146],"various":[148],"parameters":[149],"model,":[152],"thus":[153],"making":[154],"it":[155],"usable":[156],"practical":[158],"contexts.":[159]},"counts_by_year":[],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
