{"id":"https://openalex.org/W4400526624","doi":"https://doi.org/10.1109/icmi60790.2024.10585846","title":"A Comprehensive IDs to Detect Botnet Attacks Using Machine Learning Techniques","display_name":"A Comprehensive IDs to Detect Botnet Attacks Using Machine Learning Techniques","publication_year":2024,"publication_date":"2024-04-13","ids":{"openalex":"https://openalex.org/W4400526624","doi":"https://doi.org/10.1109/icmi60790.2024.10585846"},"language":"en","primary_location":{"id":"doi:10.1109/icmi60790.2024.10585846","doi":"https://doi.org/10.1109/icmi60790.2024.10585846","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/icmi60790.2024.10585846","pdf_url":null,"source":{"id":"https://openalex.org/S7407088425","display_name":"IEEE International Conference on Computing and Machine Intelligence (ICMI)","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":"2024 IEEE 3rd International Conference on Computing and Machine Intelligence (ICMI)","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":null,"display_name":"Abdullah Alghamdi","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I189060766","display_name":"St. Mary's University, Texas","ror":"https://ror.org/03fvnza37","country_code":"US","type":"education","lineage":["https://openalex.org/I189060766"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Abdullah Alghamdi","raw_affiliation_strings":["St. Mary's University,San Antonio,TX,USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"St. Mary's University,San Antonio,TX,USA","institution_ids":["https://openalex.org/I189060766"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5019112952","display_name":"Ayad F. Barsoum","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I189060766","display_name":"St. Mary's University, Texas","ror":"https://ror.org/03fvnza37","country_code":"US","type":"education","lineage":["https://openalex.org/I189060766"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Ayad Barsoum","raw_affiliation_strings":["St. Mary's University,San Antonio,TX,USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"St. Mary's University,San Antonio,TX,USA","institution_ids":["https://openalex.org/I189060766"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I189060766"],"apc_list":null,"apc_paid":null,"fwci":2.2082,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.88588924,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"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":0.9990000128746033,"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":0.9990000128746033,"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":0.0003000000142492354,"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/T11644","display_name":"Spam and Phishing Detection","score":0.00019999999494757503,"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/botnet-detection","display_name":"botnet detection","score":0.9929999709129333},{"id":"https://openalex.org/keywords/intrusion-detection-systems","display_name":"intrusion detection systems","score":0.9539999961853027},{"id":"https://openalex.org/keywords/ensemble-voting-classifier","display_name":"ensemble voting classifier","score":0.9860000014305115},{"id":"https://openalex.org/keywords/network-traffic-analysis","display_name":"network traffic analysis","score":0.8379999995231628},{"id":"https://openalex.org/keywords/feature-selection","display_name":"feature selection","score":0.7570000290870667},{"id":"https://openalex.org/keywords/web-application-deployment","display_name":"web application deployment","score":0.4429999887943268}],"concepts":[{"id":"https://openalex.org/C22735295","wikidata":"https://www.wikidata.org/wiki/Q317671","display_name":"Botnet","level":3,"score":0.9587382078170776},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7401721477508545},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4858374297618866},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.3919728994369507},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3889475464820862},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.1444721221923828},{"id":"https://openalex.org/C110875604","wikidata":"https://www.wikidata.org/wiki/Q75","display_name":"The Internet","level":2,"score":0.09851658344268799}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icmi60790.2024.10585846","doi":"https://doi.org/10.1109/icmi60790.2024.10585846","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/icmi60790.2024.10585846","pdf_url":null,"source":{"id":"https://openalex.org/S7407088425","display_name":"IEEE International Conference on Computing and Machine Intelligence (ICMI)","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":"2024 IEEE 3rd International Conference on Computing and Machine Intelligence (ICMI)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":18,"referenced_works":["https://openalex.org/W1534477342","https://openalex.org/W2031550338","https://openalex.org/W2156483112","https://openalex.org/W2772832743","https://openalex.org/W2955593825","https://openalex.org/W2983270658","https://openalex.org/W3047314667","https://openalex.org/W3095619744","https://openalex.org/W3123965728","https://openalex.org/W3139973964","https://openalex.org/W3179147591","https://openalex.org/W4206130810","https://openalex.org/W4211172370","https://openalex.org/W4282975758","https://openalex.org/W4283724983","https://openalex.org/W4362672268","https://openalex.org/W4387453400","https://openalex.org/W4391114985"],"related_works":["https://openalex.org/W4388936919","https://openalex.org/W4410927287","https://openalex.org/W7155680830","https://openalex.org/W3117376990","https://openalex.org/W4399932474","https://openalex.org/W4403060290","https://openalex.org/W4378976754","https://openalex.org/W7217997480","https://openalex.org/W7117530878","https://openalex.org/W4396855934"],"abstract_inverted_index":{"In":[0],"the":[1,65,82,99,124,128,131],"contemporary":[2],"landscape":[3],"of":[4,25,52,68,84,130],"cyber":[5],"threats,":[6],"Botnet":[7,38,104,117],"attacks":[8],"emerge":[9],"as":[10],"a":[11,22,49],"pervasive":[12],"and":[13,60,81,109],"evolving":[14],"menace,":[15],"demanding":[16],"sophisticated":[17],"countermeasures.":[18],"This":[19],"paper":[20,63],"presents":[21],"comprehensive":[23],"development":[24],"an":[26,45,85,114],"Intrusion":[27],"Detection":[28],"System":[29],"(IDS)":[30],"utilizing":[31],"advanced":[32],"machine":[33,120],"learning":[34,121],"techniques":[35],"to":[36,41,56,116],"thwart":[37],"intrusions.":[39],"Central":[40],"this":[42],"IDS":[43],"is":[44],"ensemble":[46],"voting":[47],"classifier,":[48],"synergistic":[50],"integration":[51],"multiple":[53],"algorithms,":[54],"tailored":[55],"augment":[57],"detection":[58,118,125],"efficacy":[59,129],"adaptability.":[61],"The":[62],"delineates":[64],"systematic":[66],"progression":[67],"our":[69],"work,":[70],"encompassing":[71],"meticulous":[72],"data":[73],"preprocessing,":[74],"strategic":[75],"feature":[76],"selection,":[77],"rigorous":[78],"model":[79],"training,":[80],"deployment":[83],"intuitive":[86],"web":[87],"application.":[88],"Evaluative":[89],"measures":[90],"are":[91],"employed":[92],"on":[93],"real-time":[94],"network":[95],"traffic":[96],"datasets,":[97],"affirming":[98],"model's":[100],"proficiency":[101],"in":[102],"discerning":[103],"activities":[105],"with":[106],"notable":[107],"accuracy":[108,126],"reliability.":[110],"Our":[111],"work":[112],"introduces":[113],"approach":[115],"leveraging":[119],"which":[122],"increases":[123],"underscoring":[127],"proposed":[132],"approach.":[133]},"counts_by_year":[{"year":2026,"cited_by_count":4},{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":2}],"updated_date":"2026-11-07T11:25:07.637180","created_date":"2024-07-12T00:00:00"}