{"id":"https://openalex.org/W2907187224","doi":"https://doi.org/10.1109/icapr.2017.8592943","title":"An Image Encryption Technique using Sine Curve","display_name":"An Image Encryption Technique using Sine Curve","publication_year":2017,"publication_date":"2017-12-01","ids":{"openalex":"https://openalex.org/W2907187224","doi":"https://doi.org/10.1109/icapr.2017.8592943","mag":"2907187224"},"language":"en","primary_location":{"id":"doi:10.1109/icapr.2017.8592943","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icapr.2017.8592943","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 Ninth International Conference on Advances in Pattern Recognition (ICAPR)","raw_type":"proceedings-article"},"type":"article","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/A5050612998","display_name":"Sujit Kumar Das","orcid":"https://orcid.org/0000-0002-8505-0044"},"institutions":[{"id":"https://openalex.org/I1288043984","display_name":"Techno India University","ror":"https://ror.org/00v1y6t69","country_code":"IN","type":"education","lineage":["https://openalex.org/I1288043984"]}],"countries":["IN"],"is_corresponding":true,"raw_author_name":"Sujit Kumar Das","raw_affiliation_strings":["Department of Computer Science, Brainware University, Kolkata, India"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, Brainware University, Kolkata, India","institution_ids":["https://openalex.org/I1288043984"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5030040438","display_name":"Bibhas Chandra Dhara","orcid":"https://orcid.org/0000-0003-3731-0005"},"institutions":[{"id":"https://openalex.org/I170979836","display_name":"Jadavpur University","ror":"https://ror.org/02af4h012","country_code":"IN","type":"education","lineage":["https://openalex.org/I170979836"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Bibhas Chandra Dhara","raw_affiliation_strings":["Department of Information Technology, Jadavpur University, Kolkata, India"],"affiliations":[{"raw_affiliation_string":"Department of Information Technology, Jadavpur University, Kolkata, India","institution_ids":["https://openalex.org/I170979836"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5050612998"],"corresponding_institution_ids":["https://openalex.org/I1288043984"],"apc_list":null,"apc_paid":null,"fwci":0.182,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.60760106,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":"6","issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11017","display_name":"Chaos-based Image/Signal Encryption","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/T11017","display_name":"Chaos-based Image/Signal Encryption","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/T10388","display_name":"Advanced Steganography and Watermarking Techniques","score":0.9832000136375427,"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/T10951","display_name":"Cryptographic Implementations and Security","score":0.9531000256538391,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/encryption","display_name":"Encryption","score":0.8760479688644409},{"id":"https://openalex.org/keywords/sine","display_name":"Sine","score":0.6562700867652893},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.6239977478981018},{"id":"https://openalex.org/keywords/parametric-statistics","display_name":"Parametric statistics","score":0.553964376449585},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5231919884681702},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4852897822856903},{"id":"https://openalex.org/keywords/curve-fitting","display_name":"Curve fitting","score":0.46359720826148987},{"id":"https://openalex.org/keywords/confusion","display_name":"Confusion","score":0.4401143789291382},{"id":"https://openalex.org/keywords/cryptography","display_name":"Cryptography","score":0.4379962682723999},{"id":"https://openalex.org/keywords/discrete-cosine-transform","display_name":"Discrete cosine transform","score":0.411370187997818},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.32935887575149536},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.32906678318977356},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.291678249835968},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.14009538292884827},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.09465920925140381},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.08481490612030029}],"concepts":[{"id":"https://openalex.org/C148730421","wikidata":"https://www.wikidata.org/wiki/Q141090","display_name":"Encryption","level":2,"score":0.8760479688644409},{"id":"https://openalex.org/C186661526","wikidata":"https://www.wikidata.org/wiki/Q13647261","display_name":"Sine","level":2,"score":0.6562700867652893},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.6239977478981018},{"id":"https://openalex.org/C117251300","wikidata":"https://www.wikidata.org/wiki/Q1849855","display_name":"Parametric statistics","level":2,"score":0.553964376449585},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5231919884681702},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4852897822856903},{"id":"https://openalex.org/C184389593","wikidata":"https://www.wikidata.org/wiki/Q603159","display_name":"Curve fitting","level":2,"score":0.46359720826148987},{"id":"https://openalex.org/C2781140086","wikidata":"https://www.wikidata.org/wiki/Q557945","display_name":"Confusion","level":2,"score":0.4401143789291382},{"id":"https://openalex.org/C178489894","wikidata":"https://www.wikidata.org/wiki/Q8789","display_name":"Cryptography","level":2,"score":0.4379962682723999},{"id":"https://openalex.org/C2221639","wikidata":"https://www.wikidata.org/wiki/Q2877","display_name":"Discrete cosine transform","level":3,"score":0.411370187997818},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.32935887575149536},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.32906678318977356},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.291678249835968},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.14009538292884827},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.09465920925140381},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.08481490612030029},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.0},{"id":"https://openalex.org/C11171543","wikidata":"https://www.wikidata.org/wiki/Q41630","display_name":"Psychoanalysis","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icapr.2017.8592943","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icapr.2017.8592943","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 Ninth International Conference on Advances in Pattern Recognition (ICAPR)","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":41,"referenced_works":["https://openalex.org/W1672978577","https://openalex.org/W1865420097","https://openalex.org/W1966371408","https://openalex.org/W1968703490","https://openalex.org/W1971205388","https://openalex.org/W1983600126","https://openalex.org/W1990178832","https://openalex.org/W1994339084","https://openalex.org/W1999195032","https://openalex.org/W2007844764","https://openalex.org/W2008916607","https://openalex.org/W2010885591","https://openalex.org/W2013795513","https://openalex.org/W2039003706","https://openalex.org/W2049473822","https://openalex.org/W2049763394","https://openalex.org/W2050329372","https://openalex.org/W2056105196","https://openalex.org/W2060791695","https://openalex.org/W2068684969","https://openalex.org/W2072291861","https://openalex.org/W2079174845","https://openalex.org/W2080294346","https://openalex.org/W2111303611","https://openalex.org/W2123092100","https://openalex.org/W2125199501","https://openalex.org/W2211874113","https://openalex.org/W2254614551","https://openalex.org/W2281202871","https://openalex.org/W2312173540","https://openalex.org/W2325932803","https://openalex.org/W2328260349","https://openalex.org/W2386090152","https://openalex.org/W2425286230","https://openalex.org/W2463352023","https://openalex.org/W2495307633","https://openalex.org/W2507521523","https://openalex.org/W2610806756","https://openalex.org/W2775470566","https://openalex.org/W4285719527","https://openalex.org/W6717539790"],"related_works":["https://openalex.org/W1916685473","https://openalex.org/W2055682261","https://openalex.org/W1993363272","https://openalex.org/W2186390138","https://openalex.org/W2060035984","https://openalex.org/W2790129917","https://openalex.org/W2992856432","https://openalex.org/W2100638064","https://openalex.org/W2127787376","https://openalex.org/W610997267"],"abstract_inverted_index":{"In":[0,41],"this":[1,54],"article":[2],"parametric":[3],"curve":[4],"based":[5],"a":[6,26,81],"new":[7],"image":[8,87],"encryption":[9],"method":[10,79],"is":[11],"proposed.":[12],"Here,":[13],"to":[14,58],"obtain":[15],"the":[16,51,59,65],"encrypted":[17],"image,":[18],"sine":[19,45],"curves":[20,46],"(si\u03c4\u03b9(a,":[21],"w,":[22],"\u03a6,":[23],"t)":[24],"=":[25],"<sub":[27],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[28],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">*</sub>":[29],"si\u03c4\u03b9(\u03a6":[30],"+":[31],"2\u03b9\u03c4wt))":[32],"have":[33,47],"used":[34],"in":[35],"both":[36],"confusion":[37],"and":[38,53,73,83],"diffusion":[39],"phases.":[40],"different":[42,44,70],"steps,":[43],"used,":[48],"with":[49],"varying":[50],"parameters":[52],"provide":[55],"more":[56],"security":[57],"proposed":[60,66,78],"method.":[61],"The":[62],"result":[63],"of":[64],"method,":[67],"performance":[68],"under":[69],"statistical":[71],"analysis":[72,75],"sensitivity":[74],"established":[76],"that":[77],"provides":[80],"secure":[82],"efficient":[84],"way":[85],"for":[86],"encryption.":[88]},"counts_by_year":[{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2018,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}