{"id":"https://openalex.org/W4386318326","doi":"https://doi.org/10.1587/transinf.2022ofl0002","title":"Malicious Domain Detection Based on Decision Tree","display_name":"Malicious Domain Detection Based on Decision Tree","publication_year":2023,"publication_date":"2023-08-31","ids":{"openalex":"https://openalex.org/W4386318326","doi":"https://doi.org/10.1587/transinf.2022ofl0002"},"language":"en","primary_location":{"id":"doi:10.1587/transinf.2022ofl0002","is_oa":true,"landing_page_url":"http://dx.doi.org/10.1587/transinf.2022ofl0002","pdf_url":"https://www.jstage.jst.go.jp/article/transinf/E106.D/9/E106.D_2022OFL0002/_pdf","source":{"id":"https://openalex.org/S2486202937","display_name":"IEICE Transactions on Information and Systems","issn_l":"0916-8532","issn":["0916-8532","1745-1361"],"is_oa":true,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4320800604","host_organization_name":"Institute of Electronics, Information and Communication Engineers","host_organization_lineage":["https://openalex.org/P4320800604"],"host_organization_lineage_names":["Institute of Electronics, Information and Communication Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEICE Transactions on Information and Systems","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"diamond","oa_url":"https://www.jstage.jst.go.jp/article/transinf/E106.D/9/E106.D_2022OFL0002/_pdf","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5044964944","display_name":"Thin Tharaphe Thein","orcid":"https://orcid.org/0000-0002-1213-0393"},"institutions":[{"id":"https://openalex.org/I65837984","display_name":"Kobe University","ror":"https://ror.org/03tgsfw79","country_code":"JP","type":"education","lineage":["https://openalex.org/I65837984"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Thin Tharaphe THEIN","raw_affiliation_strings":["Kobe University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Kobe University","institution_ids":["https://openalex.org/I65837984"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5076797774","display_name":"Yoshiaki Shiraishi","orcid":"https://orcid.org/0000-0002-8970-9408"},"institutions":[{"id":"https://openalex.org/I65837984","display_name":"Kobe University","ror":"https://ror.org/03tgsfw79","country_code":"JP","type":"education","lineage":["https://openalex.org/I65837984"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Yoshiaki SHIRAISHI","raw_affiliation_strings":["Kobe University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Kobe University","institution_ids":["https://openalex.org/I65837984"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5048694461","display_name":"Masakatu Morii","orcid":null},"institutions":[{"id":"https://openalex.org/I65837984","display_name":"Kobe University","ror":"https://ror.org/03tgsfw79","country_code":"JP","type":"education","lineage":["https://openalex.org/I65837984"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Masakatu MORII","raw_affiliation_strings":["Kobe University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Kobe University","institution_ids":["https://openalex.org/I65837984"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I65837984"],"apc_list":null,"apc_paid":null,"fwci":1.746,"has_fulltext":true,"cited_by_count":4,"citation_normalized_percentile":{"value":0.88492317,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":97},"biblio":{"volume":"E106.D","issue":"9","first_page":"1490","last_page":"1494"},"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/T10400","display_name":"Network Security and Intrusion Detection","score":0.9998999834060669,"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"}},{"id":"https://openalex.org/T11598","display_name":"Internet Traffic Analysis and Secure E-voting","score":0.9983000159263611,"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":0.9168583750724792},{"id":"https://openalex.org/keywords/leverage","display_name":"Leverage (statistics)","score":0.6993376016616821},{"id":"https://openalex.org/keywords/phishing","display_name":"Phishing","score":0.6761992573738098},{"id":"https://openalex.org/keywords/decision-tree","display_name":"Decision tree","score":0.6545169949531555},{"id":"https://openalex.org/keywords/random-forest","display_name":"Random forest","score":0.636367678642273},{"id":"https://openalex.org/keywords/compromise","display_name":"Compromise","score":0.582484781742096},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.575117826461792},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5150163173675537},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5042897462844849},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.45055675506591797},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.42842745780944824},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.40556231141090393},{"id":"https://openalex.org/keywords/the-internet","display_name":"The Internet","score":0.1441253125667572},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.11800038814544678}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.9168583750724792},{"id":"https://openalex.org/C153083717","wikidata":"https://www.wikidata.org/wiki/Q6535263","display_name":"Leverage (statistics)","level":2,"score":0.6993376016616821},{"id":"https://openalex.org/C83860907","wikidata":"https://www.wikidata.org/wiki/Q135005","display_name":"Phishing","level":3,"score":0.6761992573738098},{"id":"https://openalex.org/C84525736","wikidata":"https://www.wikidata.org/wiki/Q831366","display_name":"Decision tree","level":2,"score":0.6545169949531555},{"id":"https://openalex.org/C169258074","wikidata":"https://www.wikidata.org/wiki/Q245748","display_name":"Random forest","level":2,"score":0.636367678642273},{"id":"https://openalex.org/C46355384","wikidata":"https://www.wikidata.org/wiki/Q726686","display_name":"Compromise","level":2,"score":0.582484781742096},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.575117826461792},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5150163173675537},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5042897462844849},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.45055675506591797},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.42842745780944824},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.40556231141090393},{"id":"https://openalex.org/C110875604","wikidata":"https://www.wikidata.org/wiki/Q75","display_name":"The Internet","level":2,"score":0.1441253125667572},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.11800038814544678},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","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/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"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:10.1587/transinf.2022ofl0002","is_oa":true,"landing_page_url":"http://dx.doi.org/10.1587/transinf.2022ofl0002","pdf_url":"https://www.jstage.jst.go.jp/article/transinf/E106.D/9/E106.D_2022OFL0002/_pdf","source":{"id":"https://openalex.org/S2486202937","display_name":"IEICE Transactions on Information and Systems","issn_l":"0916-8532","issn":["0916-8532","1745-1361"],"is_oa":true,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4320800604","host_organization_name":"Institute of Electronics, Information and Communication Engineers","host_organization_lineage":["https://openalex.org/P4320800604"],"host_organization_lineage_names":["Institute of Electronics, Information and Communication Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEICE Transactions on Information and Systems","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.1587/transinf.2022ofl0002","is_oa":true,"landing_page_url":"http://dx.doi.org/10.1587/transinf.2022ofl0002","pdf_url":"https://www.jstage.jst.go.jp/article/transinf/E106.D/9/E106.D_2022OFL0002/_pdf","source":{"id":"https://openalex.org/S2486202937","display_name":"IEICE Transactions on Information and Systems","issn_l":"0916-8532","issn":["0916-8532","1745-1361"],"is_oa":true,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4320800604","host_organization_name":"Institute of Electronics, Information and Communication Engineers","host_organization_lineage":["https://openalex.org/P4320800604"],"host_organization_lineage_names":["Institute of Electronics, Information and Communication Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEICE Transactions on Information and Systems","raw_type":"journal-article"},"sustainable_development_goals":[{"display_name":"Peace, Justice and strong institutions","id":"https://metadata.un.org/sdg/16","score":0.44999998807907104}],"awards":[{"id":"https://openalex.org/G1613875913","display_name":null,"funder_award_id":"JPJ000254\u201d","funder_id":"https://openalex.org/F4320325628","funder_display_name":"Ministry of Internal Affairs and Communications"},{"id":"https://openalex.org/G3048983140","display_name":null,"funder_award_id":"JP21H03444","funder_id":"https://openalex.org/F4320334764","funder_display_name":"Japan Society for the Promotion of Science"},{"id":"https://openalex.org/G8378125957","display_name":"Modelling Attack Generation Process by Introducing Machine Learning and Domain Knowledge and Its Verification for Real Attack Data","funder_award_id":"23K21670","funder_id":"https://openalex.org/F4320334764","funder_display_name":"Japan Society for the Promotion of Science"}],"funders":[{"id":"https://openalex.org/F4320325628","display_name":"Ministry of Internal Affairs and Communications","ror":"https://ror.org/00vs1pz50"},{"id":"https://openalex.org/F4320334764","display_name":"Japan Society for the Promotion of Science","ror":"https://ror.org/00hhkn466"}],"has_content":{"grobid_xml":false,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4386318326.pdf"},"referenced_works_count":14,"referenced_works":["https://openalex.org/W80155331","https://openalex.org/W1883521032","https://openalex.org/W1981294881","https://openalex.org/W1990497396","https://openalex.org/W2007343513","https://openalex.org/W2082550445","https://openalex.org/W2136495567","https://openalex.org/W2518248186","https://openalex.org/W2528956961","https://openalex.org/W2804240301","https://openalex.org/W2809655410","https://openalex.org/W2888897661","https://openalex.org/W3013443908","https://openalex.org/W4300424244"],"related_works":["https://openalex.org/W2801622120","https://openalex.org/W2164141394","https://openalex.org/W2782609208","https://openalex.org/W3088188605","https://openalex.org/W4316657892","https://openalex.org/W4366990902","https://openalex.org/W4317732970","https://openalex.org/W4388550696","https://openalex.org/W4313289487","https://openalex.org/W4321636153"],"abstract_inverted_index":{"Different":[0],"types":[1],"of":[2,33,40,48,84],"malicious":[3],"attacks":[4,18],"have":[5,10],"been":[6],"increasing":[7],"simultaneously":[8],"and":[9,27,57],"become":[11],"a":[12,31,49,68,88],"serious":[13],"issue":[14],"for":[15],"cybersecurity.":[16],"Most":[17],"leverage":[19],"domain":[20,50],"URLs":[21],"as":[22],"an":[23,81],"attack":[24],"communications":[25],"medium":[26],"compromise":[28],"users":[29],"into":[30],"victim":[32],"phishing":[34],"or":[35],"spam.":[36],"We":[37],"take":[38],"advantage":[39],"machine":[41],"learning":[42],"methods":[43],"to":[44],"detect":[45],"the":[46,77],"maliciousness":[47],"automatically":[51],"using":[52,87],"three":[53],"features:":[54],"DNS-based,":[55],"lexical,":[56],"semantic":[58],"features.":[59],"The":[60,72],"proposed":[61,78],"approach":[62],"exhibits":[63],"high":[64],"performance":[65],"even":[66],"with":[67],"small":[69],"training":[70],"dataset.":[71],"experimental":[73],"results":[74],"demonstrate":[75],"that":[76],"scheme":[79],"achieves":[80],"approximate":[82],"accuracy":[83],"0.927":[85],"when":[86],"random":[89],"forest":[90],"classifier.":[91]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":1}],"updated_date":"2026-08-01T09:00:35.917206","created_date":"2025-10-10T00:00:00"}
