{"id":"https://openalex.org/W4288033219","doi":"https://doi.org/10.1142/s021964922250071x","title":"A Hybrid Detection System for DDoS Attacks Based on Deep Sparse Autoencoder and Light Gradient Boost Machine","display_name":"A Hybrid Detection System for DDoS Attacks Based on Deep Sparse Autoencoder and Light Gradient Boost Machine","publication_year":2022,"publication_date":"2022-07-26","ids":{"openalex":"https://openalex.org/W4288033219","doi":"https://doi.org/10.1142/s021964922250071x"},"language":"en","primary_location":{"id":"doi:10.1142/s021964922250071x","is_oa":false,"landing_page_url":"https://doi.org/10.1142/s021964922250071x","pdf_url":null,"source":{"id":"https://openalex.org/S30163770","display_name":"Journal of Information & Knowledge Management","issn_l":"0219-6492","issn":["0219-6492","1793-6926"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319815","host_organization_name":"World Scientific","host_organization_lineage":["https://openalex.org/P4310319815"],"host_organization_lineage_names":["World Scientific"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Information &amp; Knowledge Management","raw_type":"journal-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/A5079452662","display_name":"Raj Kumar Batchu","orcid":"https://orcid.org/0009-0004-7002-8057"},"institutions":[{"id":"https://openalex.org/I4401726783","display_name":"VIT-AP University","ror":"https://ror.org/007v4hf75","country_code":null,"type":"education","lineage":["https://openalex.org/I4401726783"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Raj Kumar Batchu","raw_affiliation_strings":["School of Computer Science and Engineering (SCOPE), VIT-AP University, Near Vijayawada, Andhra Pradesh, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering (SCOPE), VIT-AP University, Near Vijayawada, Andhra Pradesh, India","institution_ids":["https://openalex.org/I4401726783"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5088753497","display_name":"Hari Seetha","orcid":"https://orcid.org/0000-0001-9822-0009"},"institutions":[{"id":"https://openalex.org/I4401726783","display_name":"VIT-AP University","ror":"https://ror.org/007v4hf75","country_code":null,"type":"education","lineage":["https://openalex.org/I4401726783"]}],"countries":["IN"],"is_corresponding":true,"raw_author_name":"Hari Seetha","raw_affiliation_strings":["Center of Excellence, AI and Robotics, VIT-AP University, Near Vijayawada, Andhra Pradesh, India"],"raw_orcid":"https://orcid.org/0000-0001-9822-0009","affiliations":[{"raw_affiliation_string":"Center of Excellence, AI and Robotics, VIT-AP University, Near Vijayawada, Andhra Pradesh, India","institution_ids":["https://openalex.org/I4401726783"]}]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5088753497"],"corresponding_institution_ids":["https://openalex.org/I4401726783"],"apc_list":null,"apc_paid":null,"fwci":2.1401,"has_fulltext":false,"cited_by_count":16,"citation_normalized_percentile":{"value":0.87653546,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":"22","issue":"01","first_page":null,"last_page":null},"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":0.998199999332428,"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/autoencoder","display_name":"Autoencoder","score":0.9185380935668945},{"id":"https://openalex.org/keywords/denial-of-service-attack","display_name":"Denial-of-service attack","score":0.9124817848205566},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8488250374794006},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6795516014099121},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5768061876296997},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.5730903148651123},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.56207275390625},{"id":"https://openalex.org/keywords/hyperparameter","display_name":"Hyperparameter","score":0.5528758764266968},{"id":"https://openalex.org/keywords/the-internet","display_name":"The Internet","score":0.38795819878578186},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.35336458683013916},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.32260414958000183}],"concepts":[{"id":"https://openalex.org/C101738243","wikidata":"https://www.wikidata.org/wiki/Q786435","display_name":"Autoencoder","level":3,"score":0.9185380935668945},{"id":"https://openalex.org/C38822068","wikidata":"https://www.wikidata.org/wiki/Q131406","display_name":"Denial-of-service attack","level":3,"score":0.9124817848205566},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8488250374794006},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6795516014099121},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5768061876296997},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.5730903148651123},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.56207275390625},{"id":"https://openalex.org/C8642999","wikidata":"https://www.wikidata.org/wiki/Q4171168","display_name":"Hyperparameter","level":2,"score":0.5528758764266968},{"id":"https://openalex.org/C110875604","wikidata":"https://www.wikidata.org/wiki/Q75","display_name":"The Internet","level":2,"score":0.38795819878578186},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.35336458683013916},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.32260414958000183},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"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/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1142/s021964922250071x","is_oa":false,"landing_page_url":"https://doi.org/10.1142/s021964922250071x","pdf_url":null,"source":{"id":"https://openalex.org/S30163770","display_name":"Journal of Information & Knowledge Management","issn_l":"0219-6492","issn":["0219-6492","1793-6926"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319815","host_organization_name":"World Scientific","host_organization_lineage":["https://openalex.org/P4310319815"],"host_organization_lineage_names":["World Scientific"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Information &amp; Knowledge Management","raw_type":"journal-article"},{"id":"pmh:oai:RePEc:wsi:jikmxx:v:22:y:2023:i:01:n:s021964922250071x","is_oa":false,"landing_page_url":"http://www.worldscientific.com/doi/abs/10.1142/S021964922250071X","pdf_url":null,"source":{"id":"https://openalex.org/S4306401271","display_name":"RePEc: Research Papers in Economics","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I77793887","host_organization_name":"Federal Reserve Bank of St. Louis","host_organization_lineage":["https://openalex.org/I77793887"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/16","score":0.4699999988079071,"display_name":"Peace, Justice and strong institutions"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":33,"referenced_works":["https://openalex.org/W1993220166","https://openalex.org/W2127979711","https://openalex.org/W2473526392","https://openalex.org/W2896412072","https://openalex.org/W2904539465","https://openalex.org/W2912204801","https://openalex.org/W2913330314","https://openalex.org/W2924689635","https://openalex.org/W2926701059","https://openalex.org/W2958285686","https://openalex.org/W2960339583","https://openalex.org/W2981216396","https://openalex.org/W2991507433","https://openalex.org/W3006271200","https://openalex.org/W3010653466","https://openalex.org/W3014732532","https://openalex.org/W3021973688","https://openalex.org/W3024476475","https://openalex.org/W3038154406","https://openalex.org/W3039439473","https://openalex.org/W3039673966","https://openalex.org/W3047132966","https://openalex.org/W3047331802","https://openalex.org/W3104534434","https://openalex.org/W3117819143","https://openalex.org/W3125078888","https://openalex.org/W3139056303","https://openalex.org/W3153313568","https://openalex.org/W3172076356","https://openalex.org/W3194730353","https://openalex.org/W3197944870","https://openalex.org/W3204100060","https://openalex.org/W4234713688"],"related_works":["https://openalex.org/W2159052453","https://openalex.org/W3013693939","https://openalex.org/W2566616303","https://openalex.org/W3131327266","https://openalex.org/W4297051394","https://openalex.org/W2752972570","https://openalex.org/W2734887215","https://openalex.org/W2803255133","https://openalex.org/W2669956259","https://openalex.org/W4249005693"],"abstract_inverted_index":{"In":[0],"the":[1,20,31,41,66,71,75,78,85,111,135,140,159,170],"internet":[2],"era,":[3],"network-based":[4],"services":[5],"and":[6,38,150,172,175,181],"connected":[7],"devices":[8],"are":[9,30,108,128],"growing":[10],"with":[11,121,145],"many":[12],"users,":[13],"thus":[14],"it":[15],"became":[16],"an":[17,177],"increase":[18],"in":[19,63,65,77,81,148],"number":[21],"of":[22,26,33,45,68,179],"cyberattacks.":[23],"Distributed":[24],"Denial":[25],"Service":[27],"(DDoS)":[28],"attacks":[29,47,132],"type":[32],"cyberattacks":[34],"increasing":[35],"their":[36],"strength":[37],"impact":[39],"on":[40,134,169],"victim.":[42],"Effective":[43],"detection":[44],"such":[46],"through":[48],"a":[49,89,97,102],"DDoS":[50,91,98],"Detection":[51],"System":[52],"is":[53,143],"relatively":[54],"essential":[55],"research.":[56],"Although":[57],"machine":[58],"learning":[59,126],"techniques":[60],"have":[61],"grown":[62],"popularity":[64],"field":[67],"cybersecurity":[69],"over":[70],"last":[72],"several":[73,125],"years,":[74],"change":[76],"attack":[79],"patterns":[80],"recent":[82],"days":[83],"shows":[84],"need":[86],"for":[87],"developing":[88],"robust":[90],"prediction":[92,99],"model.":[93],"Therefore,":[94],"we":[95],"suggested":[96,160],"system":[100],"using":[101,117],"two-stage":[103],"hybrid":[104],"methodology.":[105],"Initially,":[106],"features":[107,147],"extracted":[109,136,146],"by":[110],"unsupervised":[112],"Deep":[113],"Sparse":[114],"Autoencoder":[115],"(DSAE)":[116],"Elastic":[118],"Net":[119],"regularisation":[120],"optimum":[122],"hyperparameters.":[123],"Further,":[124],"models":[127],"tuned":[129],"to":[130],"classify":[131],"based":[133],"feature":[137],"sets.":[138],"Finally,":[139],"models\u2019":[141],"performance":[142],"analysed":[144],"balanced":[149],"imbalanced":[151],"data":[152],"scenarios.":[153],"The":[154,165],"experimental":[155],"outcomes":[156],"show":[157],"that":[158],"model":[161,166],"outperforms":[162],"current":[163],"approaches.":[164],"was":[167],"evaluated":[168],"CICIDS-2017":[171],"CICDDoS-2019":[173],"datasets":[174],"achieved":[176],"accuracy":[178],"99.98%":[180],"99.99%,":[182],"respectively.":[183]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":7},{"year":2022,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
