{"id":"https://openalex.org/W2589021379","doi":"https://doi.org/10.1109/icitst.2016.7856731","title":"Improving the accuracy of Search Engine based anti-phishing solutions using lightweight features","display_name":"Improving the accuracy of Search Engine based anti-phishing solutions using lightweight features","publication_year":2016,"publication_date":"2016-12-01","ids":{"openalex":"https://openalex.org/W2589021379","doi":"https://doi.org/10.1109/icitst.2016.7856731","mag":"2589021379"},"language":"en","primary_location":{"id":"doi:10.1109/icitst.2016.7856731","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icitst.2016.7856731","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 11th International Conference for Internet Technology and Secured Transactions (ICITST)","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/A5103826967","display_name":"Gaurav Varshney","orcid":null},"institutions":[{"id":"https://openalex.org/I154851008","display_name":"Indian Institute of Technology Roorkee","ror":"https://ror.org/00582g326","country_code":"IN","type":"education","lineage":["https://openalex.org/I154851008"]}],"countries":["IN"],"is_corresponding":true,"raw_author_name":"Gaurav Varshney","raw_affiliation_strings":["Indian Institute of Technology Roorkee, Roorkee, Uttarakhand, India"],"affiliations":[{"raw_affiliation_string":"Indian Institute of Technology Roorkee, Roorkee, Uttarakhand, India","institution_ids":["https://openalex.org/I154851008"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101735351","display_name":"Manoj Misra","orcid":"https://orcid.org/0000-0002-4334-9494"},"institutions":[{"id":"https://openalex.org/I154851008","display_name":"Indian Institute of Technology Roorkee","ror":"https://ror.org/00582g326","country_code":"IN","type":"education","lineage":["https://openalex.org/I154851008"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Manoj Misra","raw_affiliation_strings":["Indian Institute of Technology Roorkee, Roorkee, Uttarakhand, India"],"affiliations":[{"raw_affiliation_string":"Indian Institute of Technology Roorkee, Roorkee, Uttarakhand, India","institution_ids":["https://openalex.org/I154851008"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5034818486","display_name":"Pradeep K. Atrey","orcid":"https://orcid.org/0000-0002-9577-0969"},"institutions":[{"id":"https://openalex.org/I113508548","display_name":"Albany State University","ror":"https://ror.org/01vme4277","country_code":"US","type":"education","lineage":["https://openalex.org/I113508548"]},{"id":"https://openalex.org/I392282","display_name":"University at Albany, State University of New York","ror":"https://ror.org/012zs8222","country_code":"US","type":"education","lineage":["https://openalex.org/I392282"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Pradeep K. Atrey","raw_affiliation_strings":["University at Albany-State University of New York, Albany, New York, USA"],"affiliations":[{"raw_affiliation_string":"University at Albany-State University of New York, Albany, New York, USA","institution_ids":["https://openalex.org/I113508548","https://openalex.org/I392282"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5103826967"],"corresponding_institution_ids":["https://openalex.org/I154851008"],"apc_list":null,"apc_paid":null,"fwci":1.3857,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.88249712,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":"2016","issue":null,"first_page":"365","last_page":"370"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11644","display_name":"Spam and Phishing Detection","score":1.0,"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":1.0,"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/T10664","display_name":"Sentiment Analysis and Opinion Mining","score":0.9878000020980835,"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":0.9843999743461609,"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/phishing","display_name":"Phishing","score":0.8976560831069946},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7411726713180542},{"id":"https://openalex.org/keywords/ranking","display_name":"Ranking (information retrieval)","score":0.5990113019943237},{"id":"https://openalex.org/keywords/search-engine","display_name":"Search engine","score":0.5177773237228394},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.5003554821014404},{"id":"https://openalex.org/keywords/web-crawler","display_name":"Web crawler","score":0.4452558159828186},{"id":"https://openalex.org/keywords/false-positive-rate","display_name":"False positive rate","score":0.43156570196151733},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4101509749889374},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.3561522960662842},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.33182138204574585},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.32415515184402466},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.30364346504211426},{"id":"https://openalex.org/keywords/the-internet","display_name":"The Internet","score":0.25696635246276855}],"concepts":[{"id":"https://openalex.org/C83860907","wikidata":"https://www.wikidata.org/wiki/Q135005","display_name":"Phishing","level":3,"score":0.8976560831069946},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7411726713180542},{"id":"https://openalex.org/C189430467","wikidata":"https://www.wikidata.org/wiki/Q7293293","display_name":"Ranking (information retrieval)","level":2,"score":0.5990113019943237},{"id":"https://openalex.org/C97854310","wikidata":"https://www.wikidata.org/wiki/Q19541","display_name":"Search engine","level":2,"score":0.5177773237228394},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.5003554821014404},{"id":"https://openalex.org/C13743948","wikidata":"https://www.wikidata.org/wiki/Q45842","display_name":"Web crawler","level":2,"score":0.4452558159828186},{"id":"https://openalex.org/C95922358","wikidata":"https://www.wikidata.org/wiki/Q5432725","display_name":"False positive rate","level":2,"score":0.43156570196151733},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4101509749889374},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.3561522960662842},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.33182138204574585},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.32415515184402466},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.30364346504211426},{"id":"https://openalex.org/C110875604","wikidata":"https://www.wikidata.org/wiki/Q75","display_name":"The Internet","level":2,"score":0.25696635246276855},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/icitst.2016.7856731","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icitst.2016.7856731","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 11th International Conference for Internet Technology and Secured Transactions (ICITST)","raw_type":"proceedings-article"},{"id":"mag:2753684451","is_oa":false,"landing_page_url":"http://jglobal.jst.go.jp/en/public/20090422/201702248938087190","pdf_url":null,"source":{"id":"https://openalex.org/S4306512817","display_name":"IEEE Conference Proceedings","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":"IEEE Conference Proceedings","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":20,"referenced_works":["https://openalex.org/W1482565952","https://openalex.org/W1956181181","https://openalex.org/W1964088283","https://openalex.org/W1971257159","https://openalex.org/W1973249990","https://openalex.org/W1990188874","https://openalex.org/W2037021247","https://openalex.org/W2040564948","https://openalex.org/W2041245725","https://openalex.org/W2074452038","https://openalex.org/W2081721100","https://openalex.org/W2097958165","https://openalex.org/W2105595657","https://openalex.org/W2154586245","https://openalex.org/W2158698691","https://openalex.org/W2170706147","https://openalex.org/W2517538529","https://openalex.org/W2543536327","https://openalex.org/W6640822353","https://openalex.org/W6728590777"],"related_works":["https://openalex.org/W2149202530","https://openalex.org/W2807822918","https://openalex.org/W2921723332","https://openalex.org/W2482950156","https://openalex.org/W4396966040","https://openalex.org/W2305322260","https://openalex.org/W3139248031","https://openalex.org/W3042334625","https://openalex.org/W4200017362","https://openalex.org/W2367099342"],"abstract_inverted_index":{"A":[0,145],"drawback":[1],"of":[2,42,74,97,116,122,133,148,164],"the":[3,19,37,60,72,114,120,131,134,173],"Search":[4],"Engine":[5],"(SE)":[6],"based":[7,47,76,125,137],"anti-phishing":[8,52,83],"technique":[9],"is":[10,139,158],"that":[11,14],"authentic":[12],"websites":[13,25],"are":[15,21,79],"newly":[16],"launched":[17],"over":[18],"web":[20],"classified":[22],"as":[23],"phishing":[24],"due":[26],"to":[27,58,81,119,156],"their":[28,117],"low":[29],"ranking.":[30],"This":[31],"causes":[32],"a":[33,95,123,161],"noticeable":[34],"reduction":[35],"in":[36,56,64,103,142,166],"True":[38,167],"Negative":[39],"Rate":[40,154,169],"(TNR)":[41],"such":[43,68],"schemes.":[44],"Some":[45],"SE":[46,75,124,136],"techniques":[48,53],"use":[49],"other":[50],"complex":[51],"or":[54],"features":[55,99],"combination":[57],"increase":[59],"TNR":[61,157],"which":[62,78],"results":[63,121],"higher":[65],"accuracy.":[66],"However,":[67],"an":[69],"addition":[70,118],"dilutes":[71],"importance":[73],"techniques,":[77],"intended":[80],"make":[82],"lightweight,":[84],"client":[85],"side":[86],"implementable":[87],"and":[88,106,113],"efficient.":[89],"In":[90],"this":[91,143],"paper,":[92],"we":[93],"study":[94],"set":[96],"lightweight":[98],"including":[100],"https,":[101],"digits":[102],"domain":[104],"name":[105],"Google":[107],"Safe":[108],"Browsing":[109],"(GSB)":[110],"API":[111],"check,":[112],"effect":[115,129],"solution.":[126],"An":[127],"eventual":[128],"on":[130],"accuracy":[132,174],"existing":[135],"schemes":[138],"also":[140],"reflected":[141],"paper.":[144],"total":[146],"shift":[147],"nearly":[149],"96%":[150],"from":[151],"False":[152],"Positive":[153,168],"(FPR)":[155],"recorded":[159],"with":[160],"slight":[162],"decrease":[163],"0.1%":[165],"(TPR),":[170],"thus":[171],"increasing":[172],"by":[175],"3.28%.":[176]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":2}],"updated_date":"2026-04-04T16:13:02.066488","created_date":"2025-10-10T00:00:00"}