{"id":"https://openalex.org/W3160293743","doi":"https://doi.org/10.1109/icce50685.2021.9427660","title":"Toward Developing a Realistic DDoS Dataset for Anomaly-based Intrusion Detection","display_name":"Toward Developing a Realistic DDoS Dataset for Anomaly-based Intrusion Detection","publication_year":2021,"publication_date":"2021-01-10","ids":{"openalex":"https://openalex.org/W3160293743","doi":"https://doi.org/10.1109/icce50685.2021.9427660","mag":"3160293743"},"language":"en","primary_location":{"id":"doi:10.1109/icce50685.2021.9427660","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icce50685.2021.9427660","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 IEEE International Conference on Consumer Electronics (ICCE)","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/A5112856602","display_name":"Shumon Alam","orcid":null},"institutions":[{"id":"https://openalex.org/I250520410","display_name":"Prairie View A&M University","ror":"https://ror.org/0449kf092","country_code":"US","type":"education","lineage":["https://openalex.org/I250520410"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Shumon Alam","raw_affiliation_strings":["SECURE Center of Excellence, Prairie View A&M University, Prairie View, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"SECURE Center of Excellence, Prairie View A&M University, Prairie View, USA","institution_ids":["https://openalex.org/I250520410"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5073640342","display_name":"Yasin Alam","orcid":null},"institutions":[{"id":"https://openalex.org/I91045830","display_name":"Texas A&M University","ror":"https://ror.org/01f5ytq51","country_code":"US","type":"education","lineage":["https://openalex.org/I91045830"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yasin Alam","raw_affiliation_strings":["Texas A&M University, College Station, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Texas A&M University, College Station, USA","institution_ids":["https://openalex.org/I91045830"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5005118558","display_name":"Suxia Cui","orcid":"https://orcid.org/0000-0003-1152-3272"},"institutions":[{"id":"https://openalex.org/I250520410","display_name":"Prairie View A&M University","ror":"https://ror.org/0449kf092","country_code":"US","type":"education","lineage":["https://openalex.org/I250520410"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Suxia Cui","raw_affiliation_strings":["Prairie View A&M University, Prairie View, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Prairie View A&M University, Prairie View, USA","institution_ids":["https://openalex.org/I250520410"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5045015100","display_name":"Cajetan M. Akujuobi","orcid":null},"institutions":[{"id":"https://openalex.org/I250520410","display_name":"Prairie View A&M University","ror":"https://ror.org/0449kf092","country_code":"US","type":"education","lineage":["https://openalex.org/I250520410"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Cajetan Akujuobi","raw_affiliation_strings":["Prairie View A&M University, Prairie View, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Prairie View A&M University, Prairie View, USA","institution_ids":["https://openalex.org/I250520410"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5108617784","display_name":"Mohamed Chouikha","orcid":null},"institutions":[{"id":"https://openalex.org/I250520410","display_name":"Prairie View A&M University","ror":"https://ror.org/0449kf092","country_code":"US","type":"education","lineage":["https://openalex.org/I250520410"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Mohamed Chouikha","raw_affiliation_strings":["SECURE Center of Excellence, Prairie View A&M University, Prairie View, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"SECURE Center of Excellence, Prairie View A&M University, Prairie View, USA","institution_ids":["https://openalex.org/I250520410"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.443,"has_fulltext":false,"cited_by_count":9,"citation_normalized_percentile":{"value":0.82497293,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":null,"issue":null,"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/T11241","display_name":"Advanced Malware Detection Techniques","score":0.9991000294685364,"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/T11598","display_name":"Internet Traffic Analysis and Secure E-voting","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/denial-of-service-attack","display_name":"Denial-of-service attack","score":0.879690408706665},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8396940231323242},{"id":"https://openalex.org/keywords/intrusion-detection-system","display_name":"Intrusion detection system","score":0.7322731614112854},{"id":"https://openalex.org/keywords/anomaly-detection","display_name":"Anomaly detection","score":0.6738817691802979},{"id":"https://openalex.org/keywords/dimensionality-reduction","display_name":"Dimensionality reduction","score":0.6340745687484741},{"id":"https://openalex.org/keywords/principal-component-analysis","display_name":"Principal component analysis","score":0.5536924004554749},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.5447954535484314},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.5321938991546631},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.47472724318504333},{"id":"https://openalex.org/keywords/curse-of-dimensionality","display_name":"Curse of dimensionality","score":0.4359012842178345},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.37291771173477173},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.36069637537002563},{"id":"https://openalex.org/keywords/the-internet","display_name":"The Internet","score":0.15078780055046082}],"concepts":[{"id":"https://openalex.org/C38822068","wikidata":"https://www.wikidata.org/wiki/Q131406","display_name":"Denial-of-service attack","level":3,"score":0.879690408706665},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8396940231323242},{"id":"https://openalex.org/C35525427","wikidata":"https://www.wikidata.org/wiki/Q745881","display_name":"Intrusion detection system","level":2,"score":0.7322731614112854},{"id":"https://openalex.org/C739882","wikidata":"https://www.wikidata.org/wiki/Q3560506","display_name":"Anomaly detection","level":2,"score":0.6738817691802979},{"id":"https://openalex.org/C70518039","wikidata":"https://www.wikidata.org/wiki/Q16000077","display_name":"Dimensionality reduction","level":2,"score":0.6340745687484741},{"id":"https://openalex.org/C27438332","wikidata":"https://www.wikidata.org/wiki/Q2873","display_name":"Principal component analysis","level":2,"score":0.5536924004554749},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5447954535484314},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.5321938991546631},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.47472724318504333},{"id":"https://openalex.org/C111030470","wikidata":"https://www.wikidata.org/wiki/Q1430460","display_name":"Curse of dimensionality","level":2,"score":0.4359012842178345},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.37291771173477173},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.36069637537002563},{"id":"https://openalex.org/C110875604","wikidata":"https://www.wikidata.org/wiki/Q75","display_name":"The Internet","level":2,"score":0.15078780055046082},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icce50685.2021.9427660","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icce50685.2021.9427660","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 IEEE International Conference on Consumer Electronics (ICCE)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320316514","display_name":"Arm","ror":"https://ror.org/04mmhzs81"},{"id":"https://openalex.org/F4320338281","display_name":"Army Research Office","ror":"https://ror.org/05epdh915"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":7,"referenced_works":["https://openalex.org/W433644524","https://openalex.org/W1969701420","https://openalex.org/W2591712613","https://openalex.org/W2597441556","https://openalex.org/W2789828921","https://openalex.org/W2945594226","https://openalex.org/W4382677476"],"related_works":["https://openalex.org/W1995622179","https://openalex.org/W1484111231","https://openalex.org/W4391160746","https://openalex.org/W1552543208","https://openalex.org/W2074396517","https://openalex.org/W2166963679","https://openalex.org/W2187269125","https://openalex.org/W1641615907","https://openalex.org/W3089231081","https://openalex.org/W2093956241"],"abstract_inverted_index":{"An":[0],"anomaly-based":[1],"intrusion":[2],"detection":[3,21],"system":[4],"(IDS)":[5],"is":[6,51,62,77],"considered":[7],"an":[8],"effective":[9],"mechanism":[10],"for":[11,28,68,79],"detecting":[12],"distributed":[13],"denial":[14],"of":[15,44,82,92],"service":[16],"(DDoS)":[17],"attack,":[18],"but":[19],"the":[20,42,87,90],"performance":[22,91],"depends":[23],"on":[24],"good":[25],"datasets":[26,35],"used":[27],"training.":[29],"There":[30],"are":[31,97],"synthetic":[32],"or":[33],"simulation-based":[34],"available":[36],"with":[37],"various":[38],"limitations.":[39],"To":[40],"overcome":[41],"limitations":[43],"existing":[45],"datasets,":[46],"a":[47],"realistic":[48],"DDoS":[49],"dataset":[50,88],"developed":[52],"in":[53],"this":[54,83],"work":[55],"using":[56],"Spirent's":[57],"CyberFlood-CF20":[58],"emulator.":[59],"Attack":[60],"traffic":[61],"generated":[63],"by":[64],"CF20":[65],"and":[66,71,85,89],"captured":[67],"feature":[69],"extraction":[70],"labeling.":[72],"Principal":[73],"Component":[74],"Analysis":[75],"(PCA)":[76],"performed":[78],"dimensionality":[80],"reduction":[81],"dataset,":[84],"finally,":[86],"common":[93],"machine":[94],"learning":[95],"algorithms":[96],"evaluated.":[98]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":5},{"year":2022,"cited_by_count":3}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}