{"id":"https://openalex.org/W2547400098","doi":"https://doi.org/10.1109/skima.2015.7399985","title":"Detection of phishing emails using data mining algorithms","display_name":"Detection of phishing emails using data mining algorithms","publication_year":2015,"publication_date":"2015-12-01","ids":{"openalex":"https://openalex.org/W2547400098","doi":"https://doi.org/10.1109/skima.2015.7399985","mag":"2547400098"},"language":"en","primary_location":{"id":"doi:10.1109/skima.2015.7399985","is_oa":false,"landing_page_url":"https://doi.org/10.1109/skima.2015.7399985","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 9th International Conference on Software, Knowledge, Information Management and Applications (SKIMA)","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/A5014424523","display_name":"Sami Smadi","orcid":"https://orcid.org/0000-0002-2152-4263"},"institutions":[{"id":"https://openalex.org/I32394136","display_name":"Northumbria University","ror":"https://ror.org/049e6bc10","country_code":"GB","type":"education","lineage":["https://openalex.org/I32394136"]}],"countries":["GB"],"is_corresponding":true,"raw_author_name":"Sami Smadi","raw_affiliation_strings":["Department of Computer Science and Digital Technologies, Northumbria University, Newcastle upon Tyne, UK"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Digital Technologies, Northumbria University, Newcastle upon Tyne, UK","institution_ids":["https://openalex.org/I32394136"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5041150133","display_name":"Nauman Aslam","orcid":"https://orcid.org/0000-0002-9500-3970"},"institutions":[{"id":"https://openalex.org/I32394136","display_name":"Northumbria University","ror":"https://ror.org/049e6bc10","country_code":"GB","type":"education","lineage":["https://openalex.org/I32394136"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Nauman Aslam","raw_affiliation_strings":["Department of Computer Science and Digital Technologies, Northumbria University, Newcastle upon Tyne, UK"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Digital Technologies, Northumbria University, Newcastle upon Tyne, UK","institution_ids":["https://openalex.org/I32394136"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100418950","display_name":"Li Zhang","orcid":"https://orcid.org/0000-0001-6674-692X"},"institutions":[{"id":"https://openalex.org/I32394136","display_name":"Northumbria University","ror":"https://ror.org/049e6bc10","country_code":"GB","type":"education","lineage":["https://openalex.org/I32394136"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Li Zhang","raw_affiliation_strings":["Department of Computer Science and Digital Technologies, Northumbria University, Newcastle upon Tyne, UK"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Digital Technologies, Northumbria University, Newcastle upon Tyne, UK","institution_ids":["https://openalex.org/I32394136"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5085534140","display_name":"Rafe Alasem","orcid":"https://orcid.org/0000-0002-6245-1582"},"institutions":[{"id":"https://openalex.org/I240666556","display_name":"Imam Mohammad ibn Saud Islamic University","ror":"https://ror.org/05gxjyb39","country_code":"SA","type":"education","lineage":["https://openalex.org/I240666556"]}],"countries":["SA"],"is_corresponding":false,"raw_author_name":"Rafe Alasem","raw_affiliation_strings":["Department of Electrical Engineering, Imam Mohammad Ibn Saud Islamic University, Saudi Arabia"],"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, Imam Mohammad Ibn Saud Islamic University, Saudi Arabia","institution_ids":["https://openalex.org/I240666556"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100659500","display_name":"Md. Alamgir Hossain","orcid":"https://orcid.org/0000-0001-6707-1506"},"institutions":[{"id":"https://openalex.org/I240666556","display_name":"Imam Mohammad ibn Saud Islamic University","ror":"https://ror.org/05gxjyb39","country_code":"SA","type":"education","lineage":["https://openalex.org/I240666556"]}],"countries":["SA"],"is_corresponding":false,"raw_author_name":"M A Hossain","raw_affiliation_strings":["Department of Electrical Engineering, Imam Mohammad Ibn Saud Islamic University, Saudi Arabia"],"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, Imam Mohammad Ibn Saud Islamic University, Saudi Arabia","institution_ids":["https://openalex.org/I240666556"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5014424523"],"corresponding_institution_ids":["https://openalex.org/I32394136"],"apc_list":null,"apc_paid":null,"fwci":10.6864,"has_fulltext":false,"cited_by_count":61,"citation_normalized_percentile":{"value":0.98085019,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"8"},"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/T11550","display_name":"Text and Document Classification Technologies","score":0.9940999746322632,"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/T10400","display_name":"Network Security and Intrusion Detection","score":0.9926000237464905,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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/c4.5-algorithm","display_name":"C4.5 algorithm","score":0.9068349003791809},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7875692844390869},{"id":"https://openalex.org/keywords/phishing","display_name":"Phishing","score":0.7481472492218018},{"id":"https://openalex.org/keywords/random-forest","display_name":"Random forest","score":0.7230435013771057},{"id":"https://openalex.org/keywords/preprocessor","display_name":"Preprocessor","score":0.715234637260437},{"id":"https://openalex.org/keywords/data-pre-processing","display_name":"Data pre-processing","score":0.6739530563354492},{"id":"https://openalex.org/keywords/statistical-classification","display_name":"Statistical classification","score":0.6460697650909424},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.60445636510849},{"id":"https://openalex.org/keywords/focus","display_name":"Focus (optics)","score":0.5434683561325073},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.49422982335090637},{"id":"https://openalex.org/keywords/field","display_name":"Field (mathematics)","score":0.4810495674610138},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4667167067527771},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.41940760612487793},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4029421806335449},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.27224934101104736},{"id":"https://openalex.org/keywords/naive-bayes-classifier","display_name":"Naive Bayes classifier","score":0.2254217565059662},{"id":"https://openalex.org/keywords/the-internet","display_name":"The Internet","score":0.1842382848262787},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.09584957361221313}],"concepts":[{"id":"https://openalex.org/C52003472","wikidata":"https://www.wikidata.org/wiki/Q1022655","display_name":"C4.5 algorithm","level":4,"score":0.9068349003791809},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7875692844390869},{"id":"https://openalex.org/C83860907","wikidata":"https://www.wikidata.org/wiki/Q135005","display_name":"Phishing","level":3,"score":0.7481472492218018},{"id":"https://openalex.org/C169258074","wikidata":"https://www.wikidata.org/wiki/Q245748","display_name":"Random forest","level":2,"score":0.7230435013771057},{"id":"https://openalex.org/C34736171","wikidata":"https://www.wikidata.org/wiki/Q918333","display_name":"Preprocessor","level":2,"score":0.715234637260437},{"id":"https://openalex.org/C10551718","wikidata":"https://www.wikidata.org/wiki/Q5227332","display_name":"Data pre-processing","level":2,"score":0.6739530563354492},{"id":"https://openalex.org/C110083411","wikidata":"https://www.wikidata.org/wiki/Q1744628","display_name":"Statistical classification","level":2,"score":0.6460697650909424},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.60445636510849},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.5434683561325073},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.49422982335090637},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.4810495674610138},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4667167067527771},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.41940760612487793},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4029421806335449},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.27224934101104736},{"id":"https://openalex.org/C52001869","wikidata":"https://www.wikidata.org/wiki/Q812530","display_name":"Naive Bayes classifier","level":3,"score":0.2254217565059662},{"id":"https://openalex.org/C110875604","wikidata":"https://www.wikidata.org/wiki/Q75","display_name":"The Internet","level":2,"score":0.1842382848262787},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.09584957361221313},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.0},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"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/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","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}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/skima.2015.7399985","is_oa":false,"landing_page_url":"https://doi.org/10.1109/skima.2015.7399985","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 9th International Conference on Software, Knowledge, Information Management and Applications (SKIMA)","raw_type":"proceedings-article"},{"id":"pmh:oai:nrl.northumbria.ac.uk:26810","is_oa":false,"landing_page_url":"http://nrl.northumbria.ac.uk/26810/","pdf_url":null,"source":{"id":"https://openalex.org/S4306401884","display_name":"Northumbria Research Link (Northumbria University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I32394136","host_organization_name":"Northumbria University","host_organization_lineage":["https://openalex.org/I32394136"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Book Section"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Life in Land","id":"https://metadata.un.org/sdg/15","score":0.5600000023841858}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":30,"referenced_works":["https://openalex.org/W130021640","https://openalex.org/W192715580","https://openalex.org/W1482333726","https://openalex.org/W1510540210","https://openalex.org/W1547743371","https://openalex.org/W1792568252","https://openalex.org/W2002964284","https://openalex.org/W2020648356","https://openalex.org/W2028195579","https://openalex.org/W2046603953","https://openalex.org/W2053626416","https://openalex.org/W2071254787","https://openalex.org/W2072981546","https://openalex.org/W2097958165","https://openalex.org/W2113449956","https://openalex.org/W2118689332","https://openalex.org/W2134157044","https://openalex.org/W2134750673","https://openalex.org/W2137006127","https://openalex.org/W2141439402","https://openalex.org/W2148403395","https://openalex.org/W2153245338","https://openalex.org/W2161983758","https://openalex.org/W2166179755","https://openalex.org/W2221203134","https://openalex.org/W2911964244","https://openalex.org/W6605295362","https://openalex.org/W6628852952","https://openalex.org/W6680956932","https://openalex.org/W6682640309"],"related_works":["https://openalex.org/W2782811261","https://openalex.org/W2989490741","https://openalex.org/W3092506759","https://openalex.org/W2367545121","https://openalex.org/W4248881655","https://openalex.org/W2482165163","https://openalex.org/W3010890513","https://openalex.org/W120741642","https://openalex.org/W2547400098","https://openalex.org/W2756012949"],"abstract_inverted_index":{"This":[0],"paper":[1,66],"proposes":[2],"an":[3,129],"intelligent":[4],"model":[5,112],"for":[6,56,116,128],"detection":[7],"of":[8,21,42,64,74,100,134,147],"phishing":[9],"emails":[10],"which":[11,121],"depends":[12],"on":[13,79],"a":[14,19,40,145],"preprocessing":[15,81,103],"phase":[16,82,104],"that":[17,45,88],"extracts":[18],"set":[20,146],"features":[22,29,44,107],"concerning":[23],"different":[24,136],"email":[25,75],"parts.":[26],"The":[27,61,95,111],"extracted":[28],"are":[30],"classified":[31],"using":[32,101],"the":[33,50,70,80,85,98,109,117,123],"J48":[34],"classification":[35,76,137],"algorithm.":[36],"We":[37],"experimented":[38],"with":[39],"total":[41],"23":[43],"have":[46],"been":[47],"used":[48,91],"in":[49,92],"literature.":[51],"Ten-fold":[52],"cross-validation":[53],"was":[54],"applied":[55],"training,":[57],"testing":[58],"and":[59,83,142],"validation.":[60],"primary":[62],"focus":[63],"this":[65,93],"is":[67,122],"to":[68,105],"enhance":[69],"overall":[71],"metrics":[72],"values":[73],"by":[77],"focusing":[78],"determine":[84],"best":[86],"algorithm":[87],"can":[89],"be":[90],"field.":[94],"results":[96],"show":[97],"benefits":[99],"our":[102],"extract":[106],"from":[108],"dataset.":[110,131],"achieved":[113],"98.87%":[114],"accuracy":[115],"random":[118],"forest":[119],"algorithm,":[120],"highest":[124],"registered":[125],"so":[126],"far":[127],"approved":[130],"A":[132],"comparison":[133],"ten":[135],"algorithms":[138],"demonstrates":[139],"their":[140],"merits":[141],"capabilities":[143],"through":[144],"experiments.":[148]},"counts_by_year":[{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":6},{"year":2023,"cited_by_count":7},{"year":2022,"cited_by_count":8},{"year":2021,"cited_by_count":9},{"year":2020,"cited_by_count":5},{"year":2019,"cited_by_count":9},{"year":2018,"cited_by_count":7},{"year":2017,"cited_by_count":4},{"year":2016,"cited_by_count":2}],"updated_date":"2026-04-04T16:13:02.066488","created_date":"2025-10-10T00:00:00"}
