{"id":"https://openalex.org/W2578602320","doi":"https://doi.org/10.1145/3017971.3017980","title":"Detecting Fake Sites based on HTML Structure Analysis","display_name":"Detecting Fake Sites based on HTML Structure Analysis","publication_year":2016,"publication_date":"2016-11-26","ids":{"openalex":"https://openalex.org/W2578602320","doi":"https://doi.org/10.1145/3017971.3017980","mag":"2578602320"},"language":"en","primary_location":{"id":"doi:10.1145/3017971.3017980","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3017971.3017980","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 6th International Conference on Communication and Network Security","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/A5052235618","display_name":"Jiachang Xu","orcid":"https://orcid.org/0000-0002-9318-4165"},"institutions":[{"id":"https://openalex.org/I180941496","display_name":"University of Hyogo","ror":"https://ror.org/0151bmh98","country_code":"JP","type":"education","lineage":["https://openalex.org/I180941496"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Jia-Chang Xu","raw_affiliation_strings":["University of Hyogo, Minatojima-Minami, Kobe, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Hyogo, Minatojima-Minami, Kobe, Japan","institution_ids":["https://openalex.org/I180941496"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5039423670","display_name":"Kilho Shin","orcid":"https://orcid.org/0000-0002-0425-8485"},"institutions":[{"id":"https://openalex.org/I180941496","display_name":"University of Hyogo","ror":"https://ror.org/0151bmh98","country_code":"JP","type":"education","lineage":["https://openalex.org/I180941496"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Kilho Shin","raw_affiliation_strings":["University of Hyogo, Minatojima-Minami, Kobe, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Hyogo, Minatojima-Minami, Kobe, Japan","institution_ids":["https://openalex.org/I180941496"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5106730954","display_name":"Yulu Liu","orcid":"https://orcid.org/0000-0002-0496-8962"},"institutions":[{"id":"https://openalex.org/I1301041018","display_name":"Rakuten (Japan)","ror":"https://ror.org/0098kke80","country_code":"JP","type":"company","lineage":["https://openalex.org/I1301041018"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Yu-Lu Liu","raw_affiliation_strings":["Rakuten, Inc., Tamagawa, Setagaya, Tokyo, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Rakuten, Inc., Tamagawa, Setagaya, Tokyo, Japan","institution_ids":["https://openalex.org/I1301041018"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.22693859,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"17","issue":null,"first_page":"86","last_page":"90"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11644","display_name":"Spam and Phishing Detection","score":0.9998999834060669,"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":0.9998999834060669,"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/T11241","display_name":"Advanced Malware Detection Techniques","score":0.9994999766349792,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/T12016","display_name":"Web Data Mining and Analysis","score":0.9951000213623047,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7734087705612183},{"id":"https://openalex.org/keywords/leverage","display_name":"Leverage (statistics)","score":0.6813251972198486},{"id":"https://openalex.org/keywords/reputation","display_name":"Reputation","score":0.675238847732544},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.6442427635192871},{"id":"https://openalex.org/keywords/focus","display_name":"Focus (optics)","score":0.5602620244026184},{"id":"https://openalex.org/keywords/kernel","display_name":"Kernel (algebra)","score":0.5039235949516296},{"id":"https://openalex.org/keywords/credit-card","display_name":"Credit card","score":0.49610719084739685},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4244725704193115},{"id":"https://openalex.org/keywords/tree","display_name":"Tree (set theory)","score":0.4125176668167114},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3916722238063812},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.3309233486652374},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.33064764738082886},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.20226263999938965},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.10670632123947144}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7734087705612183},{"id":"https://openalex.org/C153083717","wikidata":"https://www.wikidata.org/wiki/Q6535263","display_name":"Leverage (statistics)","level":2,"score":0.6813251972198486},{"id":"https://openalex.org/C48798503","wikidata":"https://www.wikidata.org/wiki/Q877546","display_name":"Reputation","level":2,"score":0.675238847732544},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.6442427635192871},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.5602620244026184},{"id":"https://openalex.org/C74193536","wikidata":"https://www.wikidata.org/wiki/Q574844","display_name":"Kernel (algebra)","level":2,"score":0.5039235949516296},{"id":"https://openalex.org/C2983355114","wikidata":"https://www.wikidata.org/wiki/Q161380","display_name":"Credit card","level":3,"score":0.49610719084739685},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4244725704193115},{"id":"https://openalex.org/C113174947","wikidata":"https://www.wikidata.org/wiki/Q2859736","display_name":"Tree (set theory)","level":2,"score":0.4125176668167114},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3916722238063812},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.3309233486652374},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.33064764738082886},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.20226263999938965},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.10670632123947144},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"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/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C145097563","wikidata":"https://www.wikidata.org/wiki/Q1148747","display_name":"Payment","level":2,"score":0.0},{"id":"https://openalex.org/C36289849","wikidata":"https://www.wikidata.org/wiki/Q34749","display_name":"Social science","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3017971.3017980","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3017971.3017980","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 6th International Conference on Communication and Network Security","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/16","display_name":"Peace, Justice and strong institutions","score":0.75}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":27,"referenced_works":["https://openalex.org/W179694669","https://openalex.org/W192036632","https://openalex.org/W608760604","https://openalex.org/W1486401986","https://openalex.org/W1560215058","https://openalex.org/W1575130722","https://openalex.org/W1701261171","https://openalex.org/W1730588416","https://openalex.org/W1975009259","https://openalex.org/W1988068423","https://openalex.org/W1993155576","https://openalex.org/W2003219686","https://openalex.org/W2021088858","https://openalex.org/W2033629528","https://openalex.org/W2046953300","https://openalex.org/W2104783359","https://openalex.org/W2108957124","https://openalex.org/W2121817315","https://openalex.org/W2127713198","https://openalex.org/W2139177218","https://openalex.org/W2143954109","https://openalex.org/W2171643895","https://openalex.org/W2174789775","https://openalex.org/W2185563110","https://openalex.org/W2190286163","https://openalex.org/W2345652415","https://openalex.org/W6629057494"],"related_works":["https://openalex.org/W4392337488","https://openalex.org/W2102271161","https://openalex.org/W4313425421","https://openalex.org/W4388714791","https://openalex.org/W2361883455","https://openalex.org/W2952832228","https://openalex.org/W2909324362","https://openalex.org/W2372868951","https://openalex.org/W570712888","https://openalex.org/W4400047197"],"abstract_inverted_index":{"Fake":[0],"sites":[1,13,47,61],"are":[2],"serious":[3],"threats":[4],"for":[5,41],"both":[6],"consumers":[7,42],"and":[8,14,34,48,86,104,124,137,156],"merchants.":[9],"They":[10],"mimic":[11],"authentic":[12,46],"attempt":[15],"to":[16,43,58],"obtain":[17],"money":[18],"by":[19],"fraud,":[20],"steal":[21],"personal":[22],"information":[23],"such":[24],"as":[25],"credit":[26],"card":[27],"numbers":[28],"from":[29],"consumers,":[30],"ruin":[31],"merchants'":[32],"reputation":[33],"so":[35],"on.":[36],"Usually,":[37],"it":[38],"is":[39],"difficult":[40],"distinguish":[44],"between":[45],"fake":[49,60],"sites.":[50],"In":[51],"this":[52],"paper,":[53],"we":[54,78,118,157],"propose":[55],"a":[56,80,83,107,128,150],"method":[57,161],"detect":[59],"with":[62,101,121,149,153],"high":[63],"accuracy":[64,115,136],"based":[65],"on":[66,127],"analyzing":[67],"structures":[68],"of":[69,73,82,98,144],"HTML":[70],"source":[71],"codes":[72],"websites.":[74],"For":[75],"the":[76,87,113,134,145,160,165],"analysis,":[77],"leverage":[79],"combination":[81],"tree":[84,99],"kernel":[85,130,146],"support":[88],"vector":[89],"machine":[90],"(SVM).":[91],"We":[92],"first":[93],"test":[94,119],"32":[95],"different":[96],"types":[97],"kernels":[100,109],"small":[102],"datasets,":[103,123],"then,":[105],"select":[106],"few":[108],"that":[110,131,159],"have":[111],"exhibited":[112],"best":[114,135],"scores.":[116],"Further,":[117],"them":[120],"larger":[122],"finally,":[125],"focus":[126],"single":[129],"has":[132],"shown":[133],"speed.":[138],"The":[139],"AUC,":[140],"F-measure,":[141],"Accuracy":[142],"scores":[143],"exceed":[147],"0.97":[148],"large":[151],"dataset":[152],"3001":[154],"instances,":[155],"conclude":[158],"can":[162],"perform":[163],"at":[164],"practical":[166],"level.":[167]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2020,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}