{"id":"https://openalex.org/W4312770038","doi":"https://doi.org/10.1109/ickii55100.2022.9983523","title":"Development of Machine Learning Based Fraudulent Website Detection Scheme","display_name":"Development of Machine Learning Based Fraudulent Website Detection Scheme","publication_year":2022,"publication_date":"2022-07-22","ids":{"openalex":"https://openalex.org/W4312770038","doi":"https://doi.org/10.1109/ickii55100.2022.9983523"},"language":"en","primary_location":{"id":"doi:10.1109/ickii55100.2022.9983523","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ickii55100.2022.9983523","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 IEEE 5th International Conference on Knowledge Innovation and Invention (ICKII )","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/A5023560843","display_name":"Shyh-Wei Chen","orcid":"https://orcid.org/0000-0003-2540-7168"},"institutions":[{"id":"https://openalex.org/I169090423","display_name":"Tunghai University","ror":"https://ror.org/00zhvdn11","country_code":"TW","type":"education","lineage":["https://openalex.org/I169090423"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Shyh-Wei Chen","raw_affiliation_strings":["Tunghai University,Department of Computer Science,Taichung City,Taiwan","Department of Computer Science, Tunghai University, Taichung City, Taiwan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Tunghai University,Department of Computer Science,Taichung City,Taiwan","institution_ids":["https://openalex.org/I169090423"]},{"raw_affiliation_string":"Department of Computer Science, Tunghai University, Taichung City, Taiwan","institution_ids":["https://openalex.org/I169090423"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5014230974","display_name":"Po\u2010Hsiang Chen","orcid":"https://orcid.org/0000-0002-1900-5907"},"institutions":[{"id":"https://openalex.org/I169090423","display_name":"Tunghai University","ror":"https://ror.org/00zhvdn11","country_code":"TW","type":"education","lineage":["https://openalex.org/I169090423"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Po-Hsiang Chen","raw_affiliation_strings":["Tunghai University,Department of Computer Science,Taichung City,Taiwan","Department of Computer Science, Tunghai University, Taichung City, Taiwan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Tunghai University,Department of Computer Science,Taichung City,Taiwan","institution_ids":["https://openalex.org/I169090423"]},{"raw_affiliation_string":"Department of Computer Science, Tunghai University, Taichung City, Taiwan","institution_ids":["https://openalex.org/I169090423"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102178540","display_name":"Ching-Tsorng Tsai","orcid":null},"institutions":[{"id":"https://openalex.org/I169090423","display_name":"Tunghai University","ror":"https://ror.org/00zhvdn11","country_code":"TW","type":"education","lineage":["https://openalex.org/I169090423"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Ching-Tsorng Tsai","raw_affiliation_strings":["Tunghai University,Department of Computer Science,Taichung City,Taiwan","Department of Computer Science, Tunghai University, Taichung City, Taiwan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Tunghai University,Department of Computer Science,Taichung City,Taiwan","institution_ids":["https://openalex.org/I169090423"]},{"raw_affiliation_string":"Department of Computer Science, Tunghai University, Taichung City, Taiwan","institution_ids":["https://openalex.org/I169090423"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5046491665","display_name":"Chia\u2010Hui Liu","orcid":"https://orcid.org/0000-0001-7978-2567"},"institutions":[{"id":"https://openalex.org/I205612303","display_name":"Chinese Culture University","ror":"https://ror.org/04shepe48","country_code":"TW","type":"education","lineage":["https://openalex.org/I205612303"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Chia-Hui Liu","raw_affiliation_strings":["Chinese Culture University,Department of Applied Mathematics,Taipei,Taiwan","Department of Applied Mathematics, Chinese Culture University, Taipei, Taiwan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Chinese Culture University,Department of Applied Mathematics,Taipei,Taiwan","institution_ids":["https://openalex.org/I205612303"]},{"raw_affiliation_string":"Department of Applied Mathematics, Chinese Culture University, Taipei, Taiwan","institution_ids":["https://openalex.org/I205612303"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.5055,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.65059717,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"108","last_page":"110"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11644","display_name":"Spam and Phishing Detection","score":0.9994999766349792,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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/T11644","display_name":"Spam and Phishing Detection","score":0.9994999766349792,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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/T11652","display_name":"Imbalanced Data Classification Techniques","score":0.988099992275238,"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"}},{"id":"https://openalex.org/T11550","display_name":"Text and Document Classification Technologies","score":0.9765999913215637,"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/computer-science","display_name":"Computer science","score":0.7575535774230957},{"id":"https://openalex.org/keywords/counterfeit","display_name":"Counterfeit","score":0.6526870727539062},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.6526716947555542},{"id":"https://openalex.org/keywords/random-forest","display_name":"Random forest","score":0.6285772919654846},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6163834929466248},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5369178652763367},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.5058726668357849},{"id":"https://openalex.org/keywords/scheme","display_name":"Scheme (mathematics)","score":0.48737746477127075},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.482565313577652},{"id":"https://openalex.org/keywords/order","display_name":"Order (exchange)","score":0.4825262725353241},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.07824057340621948}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7575535774230957},{"id":"https://openalex.org/C2779356469","wikidata":"https://www.wikidata.org/wiki/Q502918","display_name":"Counterfeit","level":2,"score":0.6526870727539062},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.6526716947555542},{"id":"https://openalex.org/C169258074","wikidata":"https://www.wikidata.org/wiki/Q245748","display_name":"Random forest","level":2,"score":0.6285772919654846},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6163834929466248},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5369178652763367},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.5058726668357849},{"id":"https://openalex.org/C77618280","wikidata":"https://www.wikidata.org/wiki/Q1155772","display_name":"Scheme (mathematics)","level":2,"score":0.48737746477127075},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.482565313577652},{"id":"https://openalex.org/C182306322","wikidata":"https://www.wikidata.org/wiki/Q1779371","display_name":"Order (exchange)","level":2,"score":0.4825262725353241},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.07824057340621948},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C10138342","wikidata":"https://www.wikidata.org/wiki/Q43015","display_name":"Finance","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/ickii55100.2022.9983523","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ickii55100.2022.9983523","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 IEEE 5th International Conference on Knowledge Innovation and Invention (ICKII )","raw_type":"proceedings-article"},{"id":"pmh:oai:https://irlib.pccu.edu.tw/:987654321/51914","is_oa":false,"landing_page_url":"https://irlib.pccu.edu.tw//handle/987654321/51914","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"conference"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":7,"referenced_works":["https://openalex.org/W2078635305","https://openalex.org/W2139177218","https://openalex.org/W2141125852","https://openalex.org/W2744125123","https://openalex.org/W2910387156","https://openalex.org/W2911964244","https://openalex.org/W4253866833"],"related_works":["https://openalex.org/W3191226418","https://openalex.org/W2357749344","https://openalex.org/W4323356230","https://openalex.org/W2362200800","https://openalex.org/W1539823648","https://openalex.org/W4290078996","https://openalex.org/W3113783116","https://openalex.org/W4372352523","https://openalex.org/W1579156572","https://openalex.org/W4233184255"],"abstract_inverted_index":{"The":[0,143],"development":[1],"of":[2,54,131,151],"mobile":[3],"computing":[4],"and":[5,12,19,32,41,63,103,115,124],"e-commerce":[6],"has":[7],"greatly":[8],"changed":[9],"traditional":[10],"transactions":[11],"grown":[13],"online":[14],"shopping.":[15],"People":[16],"are":[17,29],"buying":[18],"selling":[20],"goods":[21],"on":[22,35],"websites":[23,37,66],"or":[24],"social":[25],"platforms.":[26],"However,":[27],"there":[28],"many":[30],"malicious":[31],"counterfeit":[33],"products":[34],"fraudulent":[36,56,90,101],"to":[38,47,61,72,88],"deceive":[39],"consumers":[40],"make":[42],"high":[43],"improper":[44],"profits.":[45],"Due":[46],"the":[48,52,121,125,134,139,148,152],"obvious":[49],"increase":[50],"in":[51,128],"number":[53],"such":[55],"websites,":[57,99,102],"it":[58],"is":[59,136,156,159],"difficult":[60],"identify":[62],"detect":[64],"these":[65],"by":[67,82],"manual":[68],"inspection.":[69],"In":[70,108],"order":[71],"solve":[73],"this":[74],"problem,":[75],"we":[76,119],"propose":[77],"an":[78],"intelligent":[79],"detection":[80],"mechanism":[81],"using":[83],"a":[84,129],"machine":[85,110],"learning":[86,111],"approach":[87],"classify":[89],"websites.":[91],"We":[92],"use":[93],"data":[94],"set":[95,123,127],"containing":[96],"300":[97,100],"legitimate":[98],"15":[104],"features":[105],"for":[106],"training.":[107],"two":[109],"algorithms,":[112],"Random":[113],"Forest":[114],"Deep":[116],"Neural":[117],"Networks,":[118],"divided":[120],"training":[122],"test":[126],"ratio":[130],"8:2.":[132],"Finally,":[133],"prediction":[135],"compared":[137],"with":[138],"previous":[140],"research":[141],"results.":[142],"experimental":[144],"results":[145],"show":[146],"that":[147],"RF":[149],"accuracy":[150],"random":[153],"forest":[154],"algorithm":[155],"99.3%":[157],"which":[158],"better":[160],"than":[161],"other":[162],"deep":[163],"neural":[164],"networks":[165],"algorithms.":[166]},"counts_by_year":[{"year":2025,"cited_by_count":2}],"updated_date":"2026-08-26T07:47:46.906454","created_date":"2025-10-10T00:00:00"}