{"id":"https://openalex.org/W2989622320","doi":"https://doi.org/10.23919/softcom.2019.8903799","title":"Anomaly-based Intrusion Detection Using Auto-encoder","display_name":"Anomaly-based Intrusion Detection Using Auto-encoder","publication_year":2019,"publication_date":"2019-09-01","ids":{"openalex":"https://openalex.org/W2989622320","doi":"https://doi.org/10.23919/softcom.2019.8903799","mag":"2989622320"},"language":"en","primary_location":{"id":"doi:10.23919/softcom.2019.8903799","is_oa":false,"landing_page_url":"https://doi.org/10.23919/softcom.2019.8903799","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 International Conference on Software, Telecommunications and Computer Networks (SoftCOM)","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/A5073020012","display_name":"Yves Nsoga Nguimbous","orcid":null},"institutions":[{"id":"https://openalex.org/I3129295481","display_name":"Tunisia Private University","ror":"https://ror.org/033xhzd30","country_code":"TN","type":"education","lineage":["https://openalex.org/I3129295481"]}],"countries":["TN"],"is_corresponding":true,"raw_author_name":"Yves Nsoga Nguimbous","raw_affiliation_strings":["Digital Security Research Lab., Higher School of Communication, of Tunis,Tunis,Tunisia","Digital Security Research Lab., Higher School of Communication, of Tunis, Tunis, Tunisia"],"affiliations":[{"raw_affiliation_string":"Digital Security Research Lab., Higher School of Communication, of Tunis,Tunis,Tunisia","institution_ids":["https://openalex.org/I3129295481"]},{"raw_affiliation_string":"Digital Security Research Lab., Higher School of Communication, of Tunis, Tunis, Tunisia","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5006211488","display_name":"Riadh Ksantini","orcid":"https://orcid.org/0000-0001-8143-1600"},"institutions":[{"id":"https://openalex.org/I3129295481","display_name":"Tunisia Private University","ror":"https://ror.org/033xhzd30","country_code":"TN","type":"education","lineage":["https://openalex.org/I3129295481"]}],"countries":["TN"],"is_corresponding":false,"raw_author_name":"Riadh Ksantini","raw_affiliation_strings":["Digital Security Research Lab., Higher School of Communication, of Tunis,Tunis,Tunisia","Digital Security Research Lab., Higher School of Communication, of Tunis, Tunis, Tunisia"],"affiliations":[{"raw_affiliation_string":"Digital Security Research Lab., Higher School of Communication, of Tunis,Tunis,Tunisia","institution_ids":["https://openalex.org/I3129295481"]},{"raw_affiliation_string":"Digital Security Research Lab., Higher School of Communication, of Tunis, Tunis, Tunisia","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5075259756","display_name":"Adel Bouhoula","orcid":"https://orcid.org/0000-0003-2920-2338"},"institutions":[{"id":"https://openalex.org/I3129295481","display_name":"Tunisia Private University","ror":"https://ror.org/033xhzd30","country_code":"TN","type":"education","lineage":["https://openalex.org/I3129295481"]}],"countries":["TN"],"is_corresponding":false,"raw_author_name":"Adel Bouhoula","raw_affiliation_strings":["Digital Security Research Lab., Higher School of Communication, of Tunis,Tunis,Tunisia","Digital Security Research Lab., Higher School of Communication, of Tunis, Tunis, Tunisia"],"affiliations":[{"raw_affiliation_string":"Digital Security Research Lab., Higher School of Communication, of Tunis,Tunis,Tunisia","institution_ids":["https://openalex.org/I3129295481"]},{"raw_affiliation_string":"Digital Security Research Lab., Higher School of Communication, of Tunis, Tunis, Tunisia","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5073020012"],"corresponding_institution_ids":["https://openalex.org/I3129295481"],"apc_list":null,"apc_paid":null,"fwci":0.3707,"has_fulltext":false,"cited_by_count":12,"citation_normalized_percentile":{"value":0.66100087,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"5"},"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/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9998000264167786,"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/T11598","display_name":"Internet Traffic Analysis and Secure E-voting","score":0.9986000061035156,"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/anomaly-detection","display_name":"Anomaly detection","score":0.8255632519721985},{"id":"https://openalex.org/keywords/thresholding","display_name":"Thresholding","score":0.8209960460662842},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7639726400375366},{"id":"https://openalex.org/keywords/intrusion-detection-system","display_name":"Intrusion detection system","score":0.6992816925048828},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5964078903198242},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5209754109382629},{"id":"https://openalex.org/keywords/anomaly","display_name":"Anomaly (physics)","score":0.5076316595077515},{"id":"https://openalex.org/keywords/encoder","display_name":"Encoder","score":0.4580511152744293},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3769014775753021},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.135710209608078}],"concepts":[{"id":"https://openalex.org/C739882","wikidata":"https://www.wikidata.org/wiki/Q3560506","display_name":"Anomaly detection","level":2,"score":0.8255632519721985},{"id":"https://openalex.org/C191178318","wikidata":"https://www.wikidata.org/wiki/Q2256906","display_name":"Thresholding","level":3,"score":0.8209960460662842},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7639726400375366},{"id":"https://openalex.org/C35525427","wikidata":"https://www.wikidata.org/wiki/Q745881","display_name":"Intrusion detection system","level":2,"score":0.6992816925048828},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5964078903198242},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5209754109382629},{"id":"https://openalex.org/C12997251","wikidata":"https://www.wikidata.org/wiki/Q567560","display_name":"Anomaly (physics)","level":2,"score":0.5076316595077515},{"id":"https://openalex.org/C118505674","wikidata":"https://www.wikidata.org/wiki/Q42586063","display_name":"Encoder","level":2,"score":0.4580511152744293},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3769014775753021},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.135710209608078},{"id":"https://openalex.org/C26873012","wikidata":"https://www.wikidata.org/wiki/Q214781","display_name":"Condensed matter physics","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","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":1,"locations":[{"id":"doi:10.23919/softcom.2019.8903799","is_oa":false,"landing_page_url":"https://doi.org/10.23919/softcom.2019.8903799","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 International Conference on Software, Telecommunications and Computer Networks (SoftCOM)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":18,"referenced_works":["https://openalex.org/W51582649","https://openalex.org/W1556024794","https://openalex.org/W1876967670","https://openalex.org/W1966809779","https://openalex.org/W1982778443","https://openalex.org/W2072128103","https://openalex.org/W2099940443","https://openalex.org/W2101109743","https://openalex.org/W2127979711","https://openalex.org/W2133218851","https://openalex.org/W2177066871","https://openalex.org/W2338128881","https://openalex.org/W2473511225","https://openalex.org/W2516866958","https://openalex.org/W2736937187","https://openalex.org/W2964113583","https://openalex.org/W4231109964","https://openalex.org/W6633310491"],"related_works":["https://openalex.org/W2806741695","https://openalex.org/W4290647774","https://openalex.org/W3189286258","https://openalex.org/W3207797160","https://openalex.org/W3210364259","https://openalex.org/W4300558037","https://openalex.org/W2667207928","https://openalex.org/W2912112202","https://openalex.org/W4377864969","https://openalex.org/W3120251014"],"abstract_inverted_index":{"Intrusion":[0],"detection":[1,41,61,76,118],"systems":[2],"do":[3],"not":[4],"perform":[5],"well":[6],"when":[7],"it":[8],"comes":[9],"to":[10,29,113,153],"detecting":[11],"new":[12],"attacks.":[13],"Therefore":[14],"improving":[15],"their":[16],"performance":[17],"in":[18,101,144],"that":[19,51,136],"regard":[20],"is":[21,63],"an":[22,39,73],"active":[23],"research":[24],"topic.":[25],"In":[26],"this":[27,69],"study,":[28],"detect":[30],"unknown":[31],"attacks":[32],"with":[33,149],"high":[34],"accuracy,":[35],"we":[36,71],"have":[37,134],"proposed":[38,58,106],"anomaly":[40,60,75,117],"model":[42,77],"based":[43,78],"on":[44,79,121],"auto-encoder.":[45],"Generally":[46],"speaking,":[47],"the":[48,54,57,64,96,102,114,122,141,156,159],"key":[49],"factor":[50],"directly":[52],"affects":[53],"accuracy":[55],"of":[56,146,151,155],"relevant":[59,97],"models,":[62],"threshold":[65],"value":[66],"estimation.":[67],"For":[68],"reason,":[70],"propose":[72],"efficient":[74],"Auto-encoder":[80],"and":[81,91,111,128],"novel":[82],"thresholding":[83,99,119],"procedure,":[84],"using":[85],"training":[86,129],"data":[87],"reconstruction":[88],"error":[89],"percentiles":[90],"parameters":[92],"fine-tuning,":[93],"rather":[94],"than":[95],"state-of-the-art":[98],"approaches":[100],"current":[103],"literature.":[104],"The":[105],"method":[107,138],"has":[108,139],"been":[109],"evaluated":[110],"compared":[112],"widely":[115],"used":[116],"methods,":[120,143],"KDDCUP'99":[123],"network":[124],"traffic":[125],"connections":[126],"testing":[127],"sets.":[130],"Our":[131],"experimental":[132],"results":[133],"demonstrated":[135],"our":[137],"outperformed":[140],"other":[142],"term":[145],"classification":[147],"performance,":[148],"amelioration":[150],"up":[152],"7%":[154],"Area":[157],"Under":[158],"ROC":[160],"Curve.":[161]},"counts_by_year":[{"year":2025,"cited_by_count":6},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":3},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1}],"updated_date":"2026-03-27T14:29:43.386196","created_date":"2025-10-10T00:00:00"}