{"id":"https://openalex.org/W1968319093","doi":"https://doi.org/10.1109/isda.2010.5687237","title":"SURF: Steganalysis using random forests","display_name":"SURF: Steganalysis using random forests","publication_year":2010,"publication_date":"2010-11-01","ids":{"openalex":"https://openalex.org/W1968319093","doi":"https://doi.org/10.1109/isda.2010.5687237","mag":"1968319093"},"language":"en","primary_location":{"id":"doi:10.1109/isda.2010.5687237","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isda.2010.5687237","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2010 10th International Conference on Intelligent Systems Design and Applications","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/A5025680126","display_name":"H. Bhat Veena","orcid":null},"institutions":[{"id":"https://openalex.org/I53465836","display_name":"Bangalore University","ror":"https://ror.org/050j2vm64","country_code":"IN","type":"education","lineage":["https://openalex.org/I53465836"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"H. Bhat Veena","raw_affiliation_strings":["Bangalore University, Bangalore, Karnataka, IN"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Bangalore University, Bangalore, Karnataka, IN","institution_ids":["https://openalex.org/I53465836"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5018526806","display_name":"Suresh Babu Naidu Krishna","orcid":"https://orcid.org/0000-0003-3155-8878"},"institutions":[{"id":"https://openalex.org/I53465836","display_name":"Bangalore University","ror":"https://ror.org/050j2vm64","country_code":"IN","type":"education","lineage":["https://openalex.org/I53465836"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"S. Krishna","raw_affiliation_strings":["University Visvesvaraya College of Engineering, Bangalore University, Bangalore, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University Visvesvaraya College of Engineering, Bangalore University, Bangalore, India","institution_ids":["https://openalex.org/I53465836"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5102811419","display_name":"P. Deepa Shenoy","orcid":null},"institutions":[{"id":"https://openalex.org/I53465836","display_name":"Bangalore University","ror":"https://ror.org/050j2vm64","country_code":"IN","type":"education","lineage":["https://openalex.org/I53465836"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"P Deepa Shenoy","raw_affiliation_strings":["University Visvesvaraya College of Engineering, Bangalore University, Bangalore, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University Visvesvaraya College of Engineering, Bangalore University, Bangalore, India","institution_ids":["https://openalex.org/I53465836"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I53465836"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":"46","issue":null,"first_page":"373","last_page":"378"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10388","display_name":"Advanced Steganography and Watermarking Techniques","score":0.9998999834060669,"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":0.9998999834060669,"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9987000226974487,"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/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9958000183105469,"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/steganalysis","display_name":"Steganalysis","score":0.9955341815948486},{"id":"https://openalex.org/keywords/steganography","display_name":"Steganography","score":0.7506524324417114},{"id":"https://openalex.org/keywords/jpeg","display_name":"JPEG","score":0.6850293278694153},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6411038041114807},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6111818552017212},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6106947064399719},{"id":"https://openalex.org/keywords/random-forest","display_name":"Random forest","score":0.5834895968437195},{"id":"https://openalex.org/keywords/huffman-coding","display_name":"Huffman coding","score":0.5359566807746887},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.445048987865448},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3331092596054077},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.2622535824775696},{"id":"https://openalex.org/keywords/data-compression","display_name":"Data compression","score":0.20915371179580688}],"concepts":[{"id":"https://openalex.org/C107368093","wikidata":"https://www.wikidata.org/wiki/Q448176","display_name":"Steganalysis","level":4,"score":0.9955341815948486},{"id":"https://openalex.org/C108801101","wikidata":"https://www.wikidata.org/wiki/Q15032","display_name":"Steganography","level":3,"score":0.7506524324417114},{"id":"https://openalex.org/C198751489","wikidata":"https://www.wikidata.org/wiki/Q2195","display_name":"JPEG","level":3,"score":0.6850293278694153},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6411038041114807},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6111818552017212},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6106947064399719},{"id":"https://openalex.org/C169258074","wikidata":"https://www.wikidata.org/wiki/Q245748","display_name":"Random forest","level":2,"score":0.5834895968437195},{"id":"https://openalex.org/C46900642","wikidata":"https://www.wikidata.org/wiki/Q2647","display_name":"Huffman coding","level":3,"score":0.5359566807746887},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.445048987865448},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3331092596054077},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.2622535824775696},{"id":"https://openalex.org/C78548338","wikidata":"https://www.wikidata.org/wiki/Q2493","display_name":"Data compression","level":2,"score":0.20915371179580688}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/isda.2010.5687237","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isda.2010.5687237","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2010 10th International Conference on Intelligent Systems Design and Applications","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/15","display_name":"Life in Land","score":0.6399999856948853}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":34,"referenced_works":["https://openalex.org/W273955616","https://openalex.org/W1518402653","https://openalex.org/W1556531089","https://openalex.org/W1581641721","https://openalex.org/W1611335521","https://openalex.org/W1621025321","https://openalex.org/W1972205009","https://openalex.org/W1972785987","https://openalex.org/W1985194752","https://openalex.org/W2004695321","https://openalex.org/W2046514232","https://openalex.org/W2068740952","https://openalex.org/W2069043288","https://openalex.org/W2091459879","https://openalex.org/W2107689227","https://openalex.org/W2124236344","https://openalex.org/W2131296063","https://openalex.org/W2137417850","https://openalex.org/W2143314306","https://openalex.org/W2148596671","https://openalex.org/W2155447586","https://openalex.org/W2155800262","https://openalex.org/W2167999072","https://openalex.org/W2240281007","https://openalex.org/W2270937275","https://openalex.org/W2278631207","https://openalex.org/W2911964244","https://openalex.org/W2951372107","https://openalex.org/W3139634704","https://openalex.org/W3145237725","https://openalex.org/W4211002555","https://openalex.org/W6610017368","https://openalex.org/W6636548918","https://openalex.org/W6643385665"],"related_works":["https://openalex.org/W2148973528","https://openalex.org/W2939392096","https://openalex.org/W4243922849","https://openalex.org/W2106726851","https://openalex.org/W4309385482","https://openalex.org/W1529294424","https://openalex.org/W2160587766","https://openalex.org/W2241212938","https://openalex.org/W2357125417","https://openalex.org/W1966340347"],"abstract_inverted_index":{"The":[0,41,87],"success":[1],"of":[2,11,36,50],"any":[3],"statistical":[4],"steganalysis":[5,21,99,111],"algorithm":[6,43,89],"depends":[7],"on":[8],"the":[9,15],"choice":[10],"features":[12,31],"extracted":[13],"and":[14,32,59,83,100],"classifier":[16,97],"employed.":[17],"This":[18],"paper":[19],"proposes":[20],"using":[22],"random":[23,91],"forests":[24],"(SURF)":[25],"employing":[26],"HCS":[27],"(Huffman":[28],"Code":[29],"Statistics)":[30],"FR":[33],"Index":[34],"(ratio":[35],"File":[37],"size":[38],"to":[39,61,93,105,109],"Resolution).":[40],"proposed":[42],"is":[44,103],"validated":[45],"over":[46,51],"an":[47,95],"image":[48],"database":[49],"30,000":[52],"images":[53],"spanning":[54],"various":[55],"sizes,":[56],"resolutions,":[57],"qualities":[58],"textures":[60],"detect":[62],"four":[63],"widely":[64],"used":[65],"steganographic":[66],"schemes":[67],"namely":[68],"LSB":[69],"(Least":[70],"Significant":[71],"Bit)":[72],"encoding,":[73],"JPHS":[74],"(JPEG":[75],"Hide":[76],"&":[77],"Seek),":[78],"MBS":[79],"(Model":[80],"Based":[81],"Steganography)":[82],"PQ":[84],"(Perturbed":[85],"Quantization).":[86],"SURF":[88],"proves":[90],"forest":[92],"be":[94,106],"efficient":[96],"for":[98],"its":[101],"performance":[102],"found":[104],"superior":[107],"compared":[108],"current":[110],"methods.":[112]},"counts_by_year":[{"year":2017,"cited_by_count":1},{"year":2012,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
