{"id":"https://openalex.org/W3127572685","doi":"https://doi.org/10.1109/iciis51140.2020.9342680","title":"Secured Cross Layered Watermark Embedding For Digital Image Authentication Using IWT - SVD","display_name":"Secured Cross Layered Watermark Embedding For Digital Image Authentication Using IWT - SVD","publication_year":2020,"publication_date":"2020-11-26","ids":{"openalex":"https://openalex.org/W3127572685","doi":"https://doi.org/10.1109/iciis51140.2020.9342680","mag":"3127572685"},"language":"en","primary_location":{"id":"doi:10.1109/iciis51140.2020.9342680","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iciis51140.2020.9342680","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 IEEE 15th International Conference on Industrial and Information Systems (ICIIS)","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/A5077373344","display_name":"Kilari Jyothsna Devi","orcid":"https://orcid.org/0000-0001-9313-8305"},"institutions":[{"id":"https://openalex.org/I4210131147","display_name":"SRM University","ror":"https://ror.org/037skf023","country_code":"IN","type":"education","lineage":["https://openalex.org/I145286018","https://openalex.org/I4210131147"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"K Jyothsna Devi","raw_affiliation_strings":["Department of Computer Science and Engineering, SRM University - A.P, Amaravati, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, SRM University - A.P, Amaravati, India","institution_ids":["https://openalex.org/I4210131147"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5049702424","display_name":"Priyanka Singh","orcid":null},"institutions":[{"id":"https://openalex.org/I4210131147","display_name":"SRM University","ror":"https://ror.org/037skf023","country_code":"IN","type":"education","lineage":["https://openalex.org/I145286018","https://openalex.org/I4210131147"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Priyanka Singh","raw_affiliation_strings":["Department of Computer Science and Engineering, SRM University - A.P, Amaravati, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, SRM University - A.P, Amaravati, India","institution_ids":["https://openalex.org/I4210131147"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0979,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.44365381,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"264","issue":null,"first_page":"269","last_page":"273"},"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":0.9976999759674072,"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/T12707","display_name":"Vehicle License Plate Recognition","score":0.996999979019165,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/digital-watermarking","display_name":"Digital watermarking","score":0.8196265697479248},{"id":"https://openalex.org/keywords/watermark","display_name":"Watermark","score":0.747185230255127},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.7249484658241272},{"id":"https://openalex.org/keywords/singular-value-decomposition","display_name":"Singular value decomposition","score":0.6479359269142151},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6335998177528381},{"id":"https://openalex.org/keywords/encryption","display_name":"Encryption","score":0.6300027370452881},{"id":"https://openalex.org/keywords/embedding","display_name":"Embedding","score":0.547004222869873},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.48450490832328796},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.40948596596717834},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3956293761730194},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.28700339794158936},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.09205761551856995}],"concepts":[{"id":"https://openalex.org/C150817343","wikidata":"https://www.wikidata.org/wiki/Q875932","display_name":"Digital watermarking","level":3,"score":0.8196265697479248},{"id":"https://openalex.org/C164112704","wikidata":"https://www.wikidata.org/wiki/Q7974348","display_name":"Watermark","level":3,"score":0.747185230255127},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.7249484658241272},{"id":"https://openalex.org/C22789450","wikidata":"https://www.wikidata.org/wiki/Q420904","display_name":"Singular value decomposition","level":2,"score":0.6479359269142151},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6335998177528381},{"id":"https://openalex.org/C148730421","wikidata":"https://www.wikidata.org/wiki/Q141090","display_name":"Encryption","level":2,"score":0.6300027370452881},{"id":"https://openalex.org/C41608201","wikidata":"https://www.wikidata.org/wiki/Q980509","display_name":"Embedding","level":2,"score":0.547004222869873},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.48450490832328796},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.40948596596717834},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3956293761730194},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.28700339794158936},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.09205761551856995},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/iciis51140.2020.9342680","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iciis51140.2020.9342680","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 IEEE 15th International Conference on Industrial and Information Systems (ICIIS)","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":16,"referenced_works":["https://openalex.org/W1628044456","https://openalex.org/W1896001907","https://openalex.org/W2002591564","https://openalex.org/W2108339936","https://openalex.org/W2142205588","https://openalex.org/W2489928341","https://openalex.org/W2601864115","https://openalex.org/W2731193241","https://openalex.org/W2744175682","https://openalex.org/W2751545720","https://openalex.org/W2759307333","https://openalex.org/W2773348626","https://openalex.org/W2941825072","https://openalex.org/W2991531878","https://openalex.org/W2996982468","https://openalex.org/W3017009154"],"related_works":["https://openalex.org/W2358993821","https://openalex.org/W1516446231","https://openalex.org/W1559740347","https://openalex.org/W2098152888","https://openalex.org/W2040356834","https://openalex.org/W2385289568","https://openalex.org/W2381486749","https://openalex.org/W1514507288","https://openalex.org/W2183032046","https://openalex.org/W2137394636"],"abstract_inverted_index":{"In":[0,31],"this":[1],"paper,":[2],"we":[3],"are":[4],"proposing":[5],"a":[6],"novel":[7],"Integer":[8],"Wavelet":[9],"Transform(IWT)":[10],"-":[11],"Singular":[12],"Value":[13],"Decomposition(SVD)":[14],"blind":[15],"digital":[16],"image":[17,91],"watermarking":[18,66],"scheme":[19,83,105],"using":[20,71],"hybrid":[21],"transform":[22],"to":[23,56],"achieve":[24],"higher":[25,85],"imperceptibility,":[26],"robustness,":[27,111],"security":[28],"and":[29,48,87,93,113],"authenticity.":[30],"the":[32,58,81,103],"proposed":[33,82,104],"scheme,":[34],"pseudo-random":[35],"Latin":[36],"square":[37],"sequence":[38],"is":[39,46,52,69],"used":[40,53],"for":[41,54],"watermark":[42,45],"encryption,":[43],"encrypted":[44],"divided":[47],"cross":[49],"implant":[50],"technique":[51],"embedding":[55],"overcome":[57],"problem":[59],"of":[60,110],"False":[61],"Positive":[62],"Problem":[63],"(FPP).":[64],"Further":[65],"strengthening":[67],"parameter":[68],"optimized":[70],"nature-inspired":[72],"Artificial":[73],"Bee":[74],"Colony(ABC)":[75],"algorithm,":[76],"Simulation":[77],"results":[78],"shows":[79,101],"that":[80,102],"has":[84],"imperceptibility":[86,112],"robustness":[88],"with":[89,97],"different":[90],"modalities(gray-scale":[92],"colored).":[94],"Performance":[95],"comparison":[96],"some":[98],"popular":[99],"schemes":[100],"surpass":[106],"them":[107],"in":[108],"terms":[109],"confidentiality.":[114]},"counts_by_year":[{"year":2021,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}