{"id":"https://openalex.org/W4321770407","doi":"https://doi.org/10.1109/access.2023.3248261","title":"A Quantitative Logarithmic Transformation-Based Intrusion Detection System","display_name":"A Quantitative Logarithmic Transformation-Based Intrusion Detection System","publication_year":2023,"publication_date":"2023-01-01","ids":{"openalex":"https://openalex.org/W4321770407","doi":"https://doi.org/10.1109/access.2023.3248261"},"language":"en","primary_location":{"id":"doi:10.1109/access.2023.3248261","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2023.3248261","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/6514899/10050849.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://ieeexplore.ieee.org/ielx7/6287639/6514899/10050849.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5109218385","display_name":"Blue C.W. Lan","orcid":null},"institutions":[{"id":"https://openalex.org/I930026050","display_name":"China Steel (Taiwan)","ror":"https://ror.org/02djppw35","country_code":"TW","type":"company","lineage":["https://openalex.org/I930026050"]}],"countries":["TW"],"is_corresponding":true,"raw_author_name":"Blue Lan","raw_affiliation_strings":["Curelan Technology Company Ltd., Kaohsiung, Taiwan","Curelan Technology Company, Ltd, Kaohsiung, Taiwan"],"affiliations":[{"raw_affiliation_string":"Curelan Technology Company Ltd., Kaohsiung, Taiwan","institution_ids":["https://openalex.org/I930026050"]},{"raw_affiliation_string":"Curelan Technology Company, Ltd, Kaohsiung, Taiwan","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5076738557","display_name":"Ta-Chun Lo","orcid":"https://orcid.org/0000-0001-6067-9068"},"institutions":[{"id":"https://openalex.org/I91807558","display_name":"National Cheng Kung University","ror":"https://ror.org/01b8kcc49","country_code":"TW","type":"education","lineage":["https://openalex.org/I91807558"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Ta-Chun Lo","raw_affiliation_strings":["Department of Electrical Engineering, National Cheng Kung University, Tainan, Taiwan"],"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, National Cheng Kung University, Tainan, Taiwan","institution_ids":["https://openalex.org/I91807558"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5090576422","display_name":"Rico Wei","orcid":null},"institutions":[{"id":"https://openalex.org/I930026050","display_name":"China Steel (Taiwan)","ror":"https://ror.org/02djppw35","country_code":"TW","type":"company","lineage":["https://openalex.org/I930026050"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Rico Wei","raw_affiliation_strings":["Curelan Technology Company Ltd., Kaohsiung, Taiwan","Curelan Technology Company, Ltd, Kaohsiung, Taiwan"],"affiliations":[{"raw_affiliation_string":"Curelan Technology Company Ltd., Kaohsiung, Taiwan","institution_ids":["https://openalex.org/I930026050"]},{"raw_affiliation_string":"Curelan Technology Company, Ltd, Kaohsiung, Taiwan","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5072109121","display_name":"Heng-Yu Tang","orcid":null},"institutions":[{"id":"https://openalex.org/I930026050","display_name":"China Steel (Taiwan)","ror":"https://ror.org/02djppw35","country_code":"TW","type":"company","lineage":["https://openalex.org/I930026050"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Heng-Yu Tang","raw_affiliation_strings":["Curelan Technology Company Ltd., Kaohsiung, Taiwan","Curelan Technology Company, Ltd, Kaohsiung, Taiwan"],"affiliations":[{"raw_affiliation_string":"Curelan Technology Company Ltd., Kaohsiung, Taiwan","institution_ids":["https://openalex.org/I930026050"]},{"raw_affiliation_string":"Curelan Technology Company, Ltd, Kaohsiung, Taiwan","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5103100406","display_name":"Ce-Kuen Shieh","orcid":"https://orcid.org/0000-0003-3828-9113"},"institutions":[{"id":"https://openalex.org/I91807558","display_name":"National Cheng Kung University","ror":"https://ror.org/01b8kcc49","country_code":"TW","type":"education","lineage":["https://openalex.org/I91807558"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Ce-Kuen Shieh","raw_affiliation_strings":["Department of Electrical Engineering, National Cheng Kung University, Tainan, Taiwan"],"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, National Cheng Kung University, Tainan, Taiwan","institution_ids":["https://openalex.org/I91807558"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5109218385"],"corresponding_institution_ids":["https://openalex.org/I930026050"],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":0.6019,"has_fulltext":true,"cited_by_count":3,"citation_normalized_percentile":{"value":0.65835461,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":95},"biblio":{"volume":"11","issue":null,"first_page":"20351","last_page":"20364"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10400","display_name":"Network Security and Intrusion Detection","score":1.0,"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":1.0,"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":0.9994000196456909,"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/T11241","display_name":"Advanced Malware Detection Techniques","score":0.9976000189781189,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.823013186454773},{"id":"https://openalex.org/keywords/intrusion-detection-system","display_name":"Intrusion detection system","score":0.8031489849090576},{"id":"https://openalex.org/keywords/netflow","display_name":"NetFlow","score":0.6771344542503357},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5219396948814392},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.5010652542114258},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4889163076877594},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.4816221594810486},{"id":"https://openalex.org/keywords/transformation","display_name":"Transformation (genetics)","score":0.42605477571487427},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4213816225528717},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.28749895095825195}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.823013186454773},{"id":"https://openalex.org/C35525427","wikidata":"https://www.wikidata.org/wiki/Q745881","display_name":"Intrusion detection system","level":2,"score":0.8031489849090576},{"id":"https://openalex.org/C188067584","wikidata":"https://www.wikidata.org/wiki/Q219363","display_name":"NetFlow","level":2,"score":0.6771344542503357},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5219396948814392},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.5010652542114258},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4889163076877594},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.4816221594810486},{"id":"https://openalex.org/C204241405","wikidata":"https://www.wikidata.org/wiki/Q461499","display_name":"Transformation (genetics)","level":3,"score":0.42605477571487427},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4213816225528717},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.28749895095825195},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2023.3248261","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2023.3248261","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/6514899/10050849.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:4d9ea775889348b89ce64a0749ee33de","is_oa":true,"landing_page_url":"https://doaj.org/article/4d9ea775889348b89ce64a0749ee33de","pdf_url":null,"source":{"id":"https://openalex.org/S112646816","display_name":"SHILAP Revista de lepidopterolog\u00eda","issn_l":"0300-5267","issn":["0300-5267","2340-4078"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Access, Vol 11, Pp 20351-20364 (2023)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2023.3248261","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2023.3248261","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/6514899/10050849.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4321770407.pdf","grobid_xml":"https://content.openalex.org/works/W4321770407.grobid-xml"},"referenced_works_count":32,"referenced_works":["https://openalex.org/W2030278443","https://openalex.org/W2147514835","https://openalex.org/W2748475951","https://openalex.org/W2789828921","https://openalex.org/W2926701059","https://openalex.org/W2946445608","https://openalex.org/W2994866269","https://openalex.org/W3014732532","https://openalex.org/W3043530913","https://openalex.org/W3047132966","https://openalex.org/W3120413657","https://openalex.org/W3138080548","https://openalex.org/W3158938497","https://openalex.org/W3169924201","https://openalex.org/W3189450285","https://openalex.org/W3205275092","https://openalex.org/W3210361010","https://openalex.org/W3215952099","https://openalex.org/W4205334018","https://openalex.org/W4205711033","https://openalex.org/W4224286995","https://openalex.org/W4226061776","https://openalex.org/W4242458762","https://openalex.org/W4285327829","https://openalex.org/W4285793087","https://openalex.org/W4287023063","https://openalex.org/W4297846671","https://openalex.org/W4303022566","https://openalex.org/W6761701229","https://openalex.org/W6798102189","https://openalex.org/W6800117622","https://openalex.org/W6840284724"],"related_works":["https://openalex.org/W4380075502","https://openalex.org/W4223943233","https://openalex.org/W4312200629","https://openalex.org/W4360585206","https://openalex.org/W4364306694","https://openalex.org/W4380086463","https://openalex.org/W4225161397","https://openalex.org/W3014300295","https://openalex.org/W3164822677","https://openalex.org/W2795261237"],"abstract_inverted_index":{"Intrusion":[0],"detection":[1,49,61,103],"systems":[2],"(IDS)":[3],"play":[4],"a":[5,38,56,66,86,96,101,121,153,160],"vital":[6],"role":[7],"in":[8,41,124],"protecting":[9],"networks":[10],"from":[11],"malicious":[12,29,157],"attacks.":[13],"Modern":[14],"IDS":[15,79],"use":[16],"machine-learning":[17,35,76],"or":[18,77],"deep-learning":[19],"models":[20],"to":[21,70,99,151],"deal":[22,109],"with":[23,75,112,159],"the":[24,43,47,81,106,130,169],"diversity":[25],"of":[26,129,156,168],"attacks":[27,158],"that":[28,64,147],"users":[30],"may":[31],"employ.":[32],"However,":[33],"effective":[34],"methods":[36],"incur":[37],"considerable":[39],"cost":[40],"both":[42,136],"pretraining":[44],"stage":[45],"and":[46,88,92,141],"online":[48],"process":[50],"itself.":[51],"Accordingly,":[52],"this":[53],"study":[54],"proposes":[55],"quantitative":[57],"logarithmic":[58],"transformation-based":[59],"intrusion":[60],"system":[62,83,107,132],"(QLT-IDS)":[63],"uses":[65],"straightforward":[67],"statistical":[68],"approach":[69],"analyze":[71],"network":[72,139],"behavior.":[73],"Compared":[74],"deep-learning-based":[78],"methods,":[80],"proposed":[82,131],"requires":[84],"neither":[85],"time-consuming":[87],"expensive":[89],"data":[90],"collection":[91],"training":[93],"process,":[94],"nor":[95],"GPU-included":[97],"device":[98],"achieve":[100],"real-time":[102],"performance.":[104],"Furthermore,":[105],"can":[108],"not":[110],"only":[111],"North-South":[113],"attacks,":[114,118],"but":[115],"also":[116],"East-West":[117],"which":[119],"pose":[120],"significant":[122],"risk":[123],"real-world":[125,137],"operations.":[126],"The":[127,144],"effectiveness":[128],"is":[133,149],"evaluated":[134],"for":[135],"campus":[138],"traffic":[140],"simulated":[142],"traffic.":[143],"results":[145],"confirm":[146],"QLT-IDS":[148],"able":[150],"detect":[152],"wide":[154],"range":[155],"high":[161,165],"precision,":[162],"even":[163],"under":[164],"down-sampling":[166],"rate":[167],"NetFlow":[170],"records.":[171]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}