{"id":"https://openalex.org/W7130699729","doi":"https://doi.org/10.1109/isriti68345.2025.11393165","title":"Enhanced Cyber Attack Clustering Through Multiview Attribute Fuzzy C-Means with Differential Evolution Optimization","display_name":"Enhanced Cyber Attack Clustering Through Multiview Attribute Fuzzy C-Means with Differential Evolution Optimization","publication_year":2025,"publication_date":"2025-12-11","ids":{"openalex":"https://openalex.org/W7130699729","doi":"https://doi.org/10.1109/isriti68345.2025.11393165"},"language":"en","primary_location":{"id":"doi:10.1109/isriti68345.2025.11393165","doi":"https://doi.org/10.1109/isriti68345.2025.11393165","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isriti68345.2025.11393165","pdf_url":null,"source":{"id":"https://openalex.org/S4363606538","display_name":"International Seminar on Research of Information Technology and Intelligent Systems (ISRITI)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 8th International Seminar on Research of Information Technology and Intelligent Systems (ISRITI)","raw_type":"proceedings-article"},"volume":null,"type":"conference-paper","is_traditional":true,"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/A5106681296","display_name":"Alya Fitri Syalsabilla","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I166843116","display_name":"Institut Teknologi Sepuluh Nopember","ror":"https://ror.org/05kbmmt89","country_code":"ID","type":"education","lineage":["https://openalex.org/I166843116"]}],"countries":["ID"],"is_corresponding":false,"raw_author_name":"Alya Fitri Syalsabilla","raw_affiliation_strings":["Institut Teknologi Sepuluh Nopember,Statistics Department,Surabaya,Indonesia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institut Teknologi Sepuluh Nopember,Statistics Department,Surabaya,Indonesia","institution_ids":["https://openalex.org/I166843116"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5079662367","display_name":"Nur Iriawan","orcid":"https://orcid.org/0000-0003-2833-6115","observed_orcids":["https://orcid.org/0000-0003-2833-6115"]},"institutions":[{"id":"https://openalex.org/I166843116","display_name":"Institut Teknologi Sepuluh Nopember","ror":"https://ror.org/05kbmmt89","country_code":"ID","type":"education","lineage":["https://openalex.org/I166843116"]}],"countries":["ID"],"is_corresponding":false,"raw_author_name":"Nur Iriawan","raw_affiliation_strings":["Institut Teknologi Sepuluh Nopember,Statistics Department,Surabaya,Indonesia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institut Teknologi Sepuluh Nopember,Statistics Department,Surabaya,Indonesia","institution_ids":["https://openalex.org/I166843116"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5027635234","display_name":"Muhammad Mashuri","orcid":"https://orcid.org/0000-0001-9348-4507","observed_orcids":["https://orcid.org/0000-0001-9348-4507"]},"institutions":[{"id":"https://openalex.org/I166843116","display_name":"Institut Teknologi Sepuluh Nopember","ror":"https://ror.org/05kbmmt89","country_code":"ID","type":"education","lineage":["https://openalex.org/I166843116"]}],"countries":["ID"],"is_corresponding":false,"raw_author_name":"Muhammad Mashuri","raw_affiliation_strings":["Institut Teknologi Sepuluh Nopember,Statistics Department,Surabaya,Indonesia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institut Teknologi Sepuluh Nopember,Statistics Department,Surabaya,Indonesia","institution_ids":["https://openalex.org/I166843116"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I166843116"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.52458767,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10400","display_name":"Network Security and Intrusion Detection","score":0.8798999786376953,"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"}},"topics":[{"id":"https://openalex.org/T10400","display_name":"Network Security and Intrusion Detection","score":0.8798999786376953,"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/T10637","display_name":"Advanced Clustering Algorithms Research","score":0.06790000200271606,"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/T13373","display_name":"Data Mining and Machine Learning Applications","score":0.014800000004470348,"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/differential-evolution","display_name":"differential evolution","score":0.9139999747276306},{"id":"https://openalex.org/keywords/malware-classification","display_name":"malware classification","score":0.6230000257492065},{"id":"https://openalex.org/keywords/cybersecurity-risk-assessment","display_name":"cybersecurity risk assessment","score":0.781000018119812}],"concepts":[{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.7645999789237976},{"id":"https://openalex.org/C58103923","wikidata":"https://www.wikidata.org/wiki/Q2286025","display_name":"Silhouette","level":2,"score":0.7059000134468079},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.6834999918937683},{"id":"https://openalex.org/C541664917","wikidata":"https://www.wikidata.org/wiki/Q14001","display_name":"Malware","level":2,"score":0.6620000004768372},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6331999897956848},{"id":"https://openalex.org/C42812","wikidata":"https://www.wikidata.org/wiki/Q1082910","display_name":"Partition (number theory)","level":2,"score":0.5950000286102295},{"id":"https://openalex.org/C106301342","wikidata":"https://www.wikidata.org/wiki/Q4117933","display_name":"Entropy (arrow of time)","level":2,"score":0.5741999745368958},{"id":"https://openalex.org/C58166","wikidata":"https://www.wikidata.org/wiki/Q224821","display_name":"Fuzzy logic","level":2,"score":0.570900022983551},{"id":"https://openalex.org/C17212007","wikidata":"https://www.wikidata.org/wiki/Q5511111","display_name":"Fuzzy clustering","level":3,"score":0.5195000171661377},{"id":"https://openalex.org/C164866538","wikidata":"https://www.wikidata.org/wiki/Q367351","display_name":"Cluster (spacecraft)","level":2,"score":0.47040000557899475},{"id":"https://openalex.org/C74750220","wikidata":"https://www.wikidata.org/wiki/Q2662197","display_name":"Differential evolution","level":2,"score":0.4562999904155731},{"id":"https://openalex.org/C111442797","wikidata":"https://www.wikidata.org/wiki/Q7291446","display_name":"Rand index","level":3,"score":0.43630000948905945},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.4178999960422516},{"id":"https://openalex.org/C23130292","wikidata":"https://www.wikidata.org/wiki/Q5275358","display_name":"Differential privacy","level":2,"score":0.3919000029563904},{"id":"https://openalex.org/C42011625","wikidata":"https://www.wikidata.org/wiki/Q1055058","display_name":"Fuzzy set","level":3,"score":0.3337000012397766},{"id":"https://openalex.org/C75684735","wikidata":"https://www.wikidata.org/wiki/Q858810","display_name":"Big data","level":2,"score":0.31290000677108765},{"id":"https://openalex.org/C93226319","wikidata":"https://www.wikidata.org/wiki/Q193137","display_name":"Differential (mechanical device)","level":2,"score":0.3091999888420105},{"id":"https://openalex.org/C137836250","wikidata":"https://www.wikidata.org/wiki/Q984063","display_name":"Optimization problem","level":2,"score":0.3086000084877014},{"id":"https://openalex.org/C35525427","wikidata":"https://www.wikidata.org/wiki/Q745881","display_name":"Intrusion detection system","level":2,"score":0.28130000829696655},{"id":"https://openalex.org/C48372109","wikidata":"https://www.wikidata.org/wiki/Q3913","display_name":"Binary number","level":2,"score":0.2669000029563904},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2614000141620636},{"id":"https://openalex.org/C2777382242","wikidata":"https://www.wikidata.org/wiki/Q6017816","display_name":"Index (typography)","level":2,"score":0.2597000002861023},{"id":"https://openalex.org/C134246092","wikidata":"https://www.wikidata.org/wiki/Q6018862","display_name":"Index of dissimilarity","level":2,"score":0.2565000057220459}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/isriti68345.2025.11393165","doi":"https://doi.org/10.1109/isriti68345.2025.11393165","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isriti68345.2025.11393165","pdf_url":null,"source":{"id":"https://openalex.org/S4363606538","display_name":"International Seminar on Research of Information Technology and Intelligent Systems (ISRITI)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 8th International Seminar on Research of Information Technology and Intelligent Systems (ISRITI)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320327937","display_name":"Institut Teknologi Sepuluh Nopember","ror":"https://ror.org/05kbmmt89"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":21,"referenced_works":["https://openalex.org/W2897155075","https://openalex.org/W3139357789","https://openalex.org/W3154744645","https://openalex.org/W3157988798","https://openalex.org/W3183812377","https://openalex.org/W3206561576","https://openalex.org/W3213163143","https://openalex.org/W4220666696","https://openalex.org/W4297623561","https://openalex.org/W4306651652","https://openalex.org/W4327666868","https://openalex.org/W4361800396","https://openalex.org/W4384929007","https://openalex.org/W4385233194","https://openalex.org/W4388101774","https://openalex.org/W4388205884","https://openalex.org/W4389924208","https://openalex.org/W4391404643","https://openalex.org/W4395681149","https://openalex.org/W4401823288","https://openalex.org/W4403714101"],"related_works":["https://openalex.org/W7204797091","https://openalex.org/W7117692903","https://openalex.org/W3045754159","https://openalex.org/W7169576643","https://openalex.org/W7220562337","https://openalex.org/W2165335284","https://openalex.org/W4405719141","https://openalex.org/W2626350522","https://openalex.org/W4410250935","https://openalex.org/W2346941838"],"abstract_inverted_index":{"Cybersecurity":[0],"threats":[1],"continue":[2],"to":[3,37,79,102,109,117,126],"escalate":[4],"in":[5,44,86],"frequency":[6],"and":[7,41,55,70,82,90,119,160,175,183],"complexity,":[8],"challenging":[9],"conventional":[10],"methods":[11],"for":[12,178],"detecting":[13],"anomalous":[14],"behaviors.":[15],"This":[16],"study":[17],"addresses":[18],"this":[19],"problem":[20],"by":[21],"implementing":[22,150],"a":[23,135,172],"Multiview":[24],"Attribute":[25],"Fuzzy":[26],"C-Means":[27],"(MV-FCM)":[28],"clustering":[29,58],"framework":[30,170],"enhanced":[31],"with":[32,59],"Differential":[33],"Evolution":[34],"(DE)":[35],"optimization":[36,75],"classify":[38],"cyber":[39],"attack":[40],"malware":[42,132,148],"data":[43],"Indonesia":[45],"from":[46,100,107,115,124],"2018\u20132024.":[47],"Monthly":[48],"records":[49],"of":[50,163],"Cyber_Attack":[51],"were":[52],"preprocessed,":[53],"normalized,":[54],"analyzed.":[56],"Initial":[57],"equal":[60],"weights":[61,78],"(0.5,":[62],"0.5)":[63],"generated":[64],"three":[65],"clusters":[66],"representing":[67],"low,":[68],"medium,":[69],"high":[71],"cybersecurity":[72,164,180],"risk.":[73],"DE":[74],"adjusted":[76],"the":[77,95,168],"0.205":[80],"(Cyber_Attack)":[81],"0.795":[83],"(Malware),":[84],"resulting":[85],"improved":[87],"cluster":[88,139],"separation":[89],"interpretability.":[91],"Evaluation":[92],"metrics":[93],"confirmed":[94],"enhancement:":[96],"Silhouette":[97],"Index":[98,121],"increased":[99],"0.23":[101],"0.37,":[103],"Partition":[104,111],"Coefficient":[105],"(PC)":[106],"0.60":[108],"0.67,":[110],"Entropy":[112],"(PE)":[113],"decreased":[114,123],"0.65":[116],"0.57,":[118],"Davies-Bouldin":[120],"(DBI)":[122],"2.57":[125],"1.17.":[127],"These":[128],"results":[129],"indicate":[130],"that":[131],"incidents":[133],"have":[134],"stronger":[136],"influence":[137],"on":[138],"formation":[140],"than":[141],"cyber-attack":[142],"counts.":[143],"Policy":[144],"recommendations":[145],"include":[146],"prioritizing":[147],"management,":[149],"risk-based":[151],"resource":[152],"allocation,":[153],"adopting":[154],"AI-driven":[155],"monitoring,":[156],"strengthening":[157],"institutional":[158],"collaboration,":[159],"periodic":[161],"reassessment":[162],"strategies.":[165],"In":[166],"conclusion,":[167],"MV-FCM-DE":[169],"provides":[171],"robust,":[173],"adaptive,":[174],"practical":[176],"tool":[177],"improving":[179],"threat":[181],"detection":[182],"supporting":[184],"informed":[185],"decision-making.":[186]},"counts_by_year":[],"updated_date":"2026-10-28T10:33:24.094632","created_date":"2026-02-21T00:00:00"}