{"id":"https://openalex.org/W4361200052","doi":"https://doi.org/10.23919/icact56868.2023.10079359","title":"Dimensional Feature Reduction for Detecting Botnet Activities","display_name":"Dimensional Feature Reduction for Detecting Botnet Activities","publication_year":2023,"publication_date":"2023-02-19","ids":{"openalex":"https://openalex.org/W4361200052","doi":"https://doi.org/10.23919/icact56868.2023.10079359"},"language":"en","primary_location":{"id":"doi:10.23919/icact56868.2023.10079359","is_oa":false,"landing_page_url":"http://dx.doi.org/10.23919/icact56868.2023.10079359","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 25th International Conference on Advanced Communication Technology (ICACT)","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/A5076285880","display_name":"Muhammad Aidiel Rachman Putra","orcid":"https://orcid.org/0000-0002-2741-6853"},"institutions":[{"id":"https://openalex.org/I166843116","display_name":"Sepuluh Nopember Institute of Technology","ror":"https://ror.org/05kbmmt89","country_code":"ID","type":"education","lineage":["https://openalex.org/I166843116"]}],"countries":["ID"],"is_corresponding":true,"raw_author_name":"Muhammad Aidiel Rachman Putra","raw_affiliation_strings":["Institut Teknologi Sepuluh Nopember,Department of Informatics,Surabaya,Indonesia","Department of Informatics, Institut Teknologi Sepuluh Nopember, Surabaya, Indonesia"],"affiliations":[{"raw_affiliation_string":"Institut Teknologi Sepuluh Nopember,Department of Informatics,Surabaya,Indonesia","institution_ids":["https://openalex.org/I166843116"]},{"raw_affiliation_string":"Department of Informatics, Institut Teknologi Sepuluh Nopember, Surabaya, Indonesia","institution_ids":["https://openalex.org/I166843116"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5075903779","display_name":"Tohari Ahmad","orcid":"https://orcid.org/0000-0002-3390-0756"},"institutions":[{"id":"https://openalex.org/I166843116","display_name":"Sepuluh Nopember Institute of Technology","ror":"https://ror.org/05kbmmt89","country_code":"ID","type":"education","lineage":["https://openalex.org/I166843116"]}],"countries":["ID"],"is_corresponding":false,"raw_author_name":"Tohari Ahmad","raw_affiliation_strings":["Institut Teknologi Sepuluh Nopember,Department of Informatics,Surabaya,Indonesia","Department of Informatics, Institut Teknologi Sepuluh Nopember, Surabaya, Indonesia"],"affiliations":[{"raw_affiliation_string":"Institut Teknologi Sepuluh Nopember,Department of Informatics,Surabaya,Indonesia","institution_ids":["https://openalex.org/I166843116"]},{"raw_affiliation_string":"Department of Informatics, Institut Teknologi Sepuluh Nopember, Surabaya, Indonesia","institution_ids":["https://openalex.org/I166843116"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5030925726","display_name":"Dandy Pramana Hostiadi","orcid":"https://orcid.org/0000-0003-0096-8049"},"institutions":[{"id":"https://openalex.org/I4388891760","display_name":"Institut Teknologi Dan Bisnis STIKOM Bali","ror":"https://ror.org/01wn4rj56","country_code":null,"type":"education","lineage":["https://openalex.org/I4388891760"]},{"id":"https://openalex.org/I4210165687","display_name":"Universitas Teknologi Indonesia","ror":"https://ror.org/04eqd3f31","country_code":"ID","type":"education","lineage":["https://openalex.org/I4210165687"]}],"countries":["ID"],"is_corresponding":false,"raw_author_name":"Dandy Pramana Hostiadi","raw_affiliation_strings":["Institut Teknologi dan Bisnis STIKOM Bali,Department of Informatics,Bali,Indonesia","Department of Informatics, Institut Teknologi dan Bisnis STIKOM Bali, Bali, Indonesia"],"affiliations":[{"raw_affiliation_string":"Institut Teknologi dan Bisnis STIKOM Bali,Department of Informatics,Bali,Indonesia","institution_ids":["https://openalex.org/I4210165687","https://openalex.org/I4388891760"]},{"raw_affiliation_string":"Department of Informatics, Institut Teknologi dan Bisnis STIKOM Bali, Bali, Indonesia","institution_ids":["https://openalex.org/I4210165687","https://openalex.org/I4388891760"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5076285880"],"corresponding_institution_ids":["https://openalex.org/I166843116"],"apc_list":null,"apc_paid":null,"fwci":0.206,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.45568665,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"43","last_page":"48"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10400","display_name":"Network Security and Intrusion Detection","score":0.9998000264167786,"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":0.9998000264167786,"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/T11241","display_name":"Advanced Malware Detection Techniques","score":0.9976999759674072,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9966999888420105,"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/feature-extraction","display_name":"Feature extraction","score":0.7931638360023499},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7624185085296631},{"id":"https://openalex.org/keywords/botnet","display_name":"Botnet","score":0.6943079233169556},{"id":"https://openalex.org/keywords/principal-component-analysis","display_name":"Principal component analysis","score":0.6835843324661255},{"id":"https://openalex.org/keywords/random-forest","display_name":"Random forest","score":0.6474437117576599},{"id":"https://openalex.org/keywords/naive-bayes-classifier","display_name":"Naive Bayes classifier","score":0.6268710494041443},{"id":"https://openalex.org/keywords/decision-tree","display_name":"Decision tree","score":0.611329197883606},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5920522212982178},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5492597818374634},{"id":"https://openalex.org/keywords/dimensionality-reduction","display_name":"Dimensionality reduction","score":0.5278379917144775},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.5183120965957642},{"id":"https://openalex.org/keywords/reduction","display_name":"Reduction (mathematics)","score":0.45808565616607666},{"id":"https://openalex.org/keywords/the-internet","display_name":"The Internet","score":0.4499002695083618},{"id":"https://openalex.org/keywords/tree","display_name":"Tree (set theory)","score":0.44919630885124207},{"id":"https://openalex.org/keywords/network-security","display_name":"Network security","score":0.4439958930015564},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.44241863489151},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4369763135910034},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.3160496950149536},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.15451312065124512},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.08822500705718994}],"concepts":[{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.7931638360023499},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7624185085296631},{"id":"https://openalex.org/C22735295","wikidata":"https://www.wikidata.org/wiki/Q317671","display_name":"Botnet","level":3,"score":0.6943079233169556},{"id":"https://openalex.org/C27438332","wikidata":"https://www.wikidata.org/wiki/Q2873","display_name":"Principal component analysis","level":2,"score":0.6835843324661255},{"id":"https://openalex.org/C169258074","wikidata":"https://www.wikidata.org/wiki/Q245748","display_name":"Random forest","level":2,"score":0.6474437117576599},{"id":"https://openalex.org/C52001869","wikidata":"https://www.wikidata.org/wiki/Q812530","display_name":"Naive Bayes classifier","level":3,"score":0.6268710494041443},{"id":"https://openalex.org/C84525736","wikidata":"https://www.wikidata.org/wiki/Q831366","display_name":"Decision tree","level":2,"score":0.611329197883606},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5920522212982178},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5492597818374634},{"id":"https://openalex.org/C70518039","wikidata":"https://www.wikidata.org/wiki/Q16000077","display_name":"Dimensionality reduction","level":2,"score":0.5278379917144775},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5183120965957642},{"id":"https://openalex.org/C111335779","wikidata":"https://www.wikidata.org/wiki/Q3454686","display_name":"Reduction (mathematics)","level":2,"score":0.45808565616607666},{"id":"https://openalex.org/C110875604","wikidata":"https://www.wikidata.org/wiki/Q75","display_name":"The Internet","level":2,"score":0.4499002695083618},{"id":"https://openalex.org/C113174947","wikidata":"https://www.wikidata.org/wiki/Q2859736","display_name":"Tree (set theory)","level":2,"score":0.44919630885124207},{"id":"https://openalex.org/C182590292","wikidata":"https://www.wikidata.org/wiki/Q989632","display_name":"Network security","level":2,"score":0.4439958930015564},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.44241863489151},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4369763135910034},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.3160496950149536},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.15451312065124512},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.08822500705718994},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"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/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.23919/icact56868.2023.10079359","is_oa":false,"landing_page_url":"http://dx.doi.org/10.23919/icact56868.2023.10079359","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 25th International Conference on Advanced Communication Technology (ICACT)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Life in Land","score":0.5899999737739563,"id":"https://metadata.un.org/sdg/15"}],"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":22,"referenced_works":["https://openalex.org/W2077488147","https://openalex.org/W2612928550","https://openalex.org/W2613920221","https://openalex.org/W2950399464","https://openalex.org/W2973442392","https://openalex.org/W2987038997","https://openalex.org/W2999957694","https://openalex.org/W3012134902","https://openalex.org/W3032087933","https://openalex.org/W3048668222","https://openalex.org/W3179338414","https://openalex.org/W3197602514","https://openalex.org/W3211428289","https://openalex.org/W4210787053","https://openalex.org/W4213349245","https://openalex.org/W4224097853","https://openalex.org/W4280565328","https://openalex.org/W4283395623","https://openalex.org/W4291909698","https://openalex.org/W4296982334","https://openalex.org/W4312247183","https://openalex.org/W6801369236"],"related_works":["https://openalex.org/W2294483539","https://openalex.org/W4389954502","https://openalex.org/W2771255398","https://openalex.org/W2930428186","https://openalex.org/W3200027047","https://openalex.org/W3125536479","https://openalex.org/W4214820172","https://openalex.org/W4386984454","https://openalex.org/W3120363735","https://openalex.org/W2394323384"],"abstract_inverted_index":{"Rising":[0],"number":[1],"of":[2,22,38,62,68,81],"devices":[3,15],"linked":[4],"to":[5,27,31,46,110,114],"the":[6,23,69,74,79,111,136],"internet":[7],"has":[8],"made":[9],"computer":[10],"network":[11,28],"security":[12,29],"crucial.":[13],"Those":[14],"may":[16],"be":[17],"compromised,":[18],"forming":[19],"botnets,":[20],"one":[21,61],"most":[24],"severe":[25],"threats":[26],"due":[30],"their":[32,116],"unique":[33],"characteristics.":[34],"An":[35],"in-depth":[36],"analysis":[37],"various":[39],"processes,":[40],"including":[41],"feature":[42,58,63,82,105],"extraction,":[43],"is":[44,60,66,143,148],"required":[45],"develop":[47],"a":[48,157],"botnet":[49],"detection":[50],"model":[51],"with":[52,87,150],"reliable":[53],"performance.":[54],"In":[55],"this":[56],"system,":[57],"extraction":[59,83,106],"engineering,":[64],"which":[65],"part":[67],"data":[70],"pre-processing.":[71],"To":[72],"find":[73],"best":[75],"approach,":[76],"we":[77],"analyze":[78,115],"impact":[80,117],"using":[84,118],"dimensional":[85,146],"reduction":[86,147],"four":[88],"techniques:":[89],"Principal":[90],"Component":[91,102],"Analysis,":[92,98],"Truncate":[93],"Singular":[94],"Value":[95],"Decomposition,":[96],"Factor":[97],"and":[99,132,139],"Fast":[100],"Independent":[101],"Analysis.":[103],"The":[104],"results":[107],"are":[108],"brought":[109],"classification":[112],"stage":[113],"several":[119],"machine":[120,159],"learning":[121,160],"algorithms":[122],"such":[123],"as":[124],"k-NN,":[125],"Decision":[126],"Tree,":[127],"Random":[128],"Forest,":[129],"Naive":[130],"Bayes,":[131],"Logistic":[133],"Regression.":[134],"Using":[135],"CTU-13,":[137],"NCC-1,":[138],"NCC-2":[140],"datasets,":[141],"it":[142],"found":[144],"that":[145],"suitable":[149],"k-":[151],"NN":[152],"but":[153],"not":[154],"recommended":[155],"for":[156],"tree-based":[158],"algorithm.":[161]},"counts_by_year":[{"year":2023,"cited_by_count":1}],"updated_date":"2025-12-24T23:09:58.560324","created_date":"2025-10-10T00:00:00"}
