{"id":"https://openalex.org/W3201217264","doi":"https://doi.org/10.1109/csr57506.2023.10224957","title":"Denial of Service Attack Detection via Differential Analysis of Generalized Entropy Progressions","display_name":"Denial of Service Attack Detection via Differential Analysis of Generalized Entropy Progressions","publication_year":2023,"publication_date":"2023-07-31","ids":{"openalex":"https://openalex.org/W3201217264","doi":"https://doi.org/10.1109/csr57506.2023.10224957","mag":"3201217264"},"language":"en","primary_location":{"id":"doi:10.1109/csr57506.2023.10224957","is_oa":false,"landing_page_url":"https://doi.org/10.1109/csr57506.2023.10224957","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE International Conference on Cyber Security and Resilience (CSR)","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["arxiv","crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2109.08758","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5034946156","display_name":"Omer Subasi","orcid":"https://orcid.org/0000-0002-5373-7570"},"institutions":[{"id":"https://openalex.org/I142606810","display_name":"Pacific Northwest National Laboratory","ror":"https://ror.org/05h992307","country_code":"US","type":"facility","lineage":["https://openalex.org/I1325736334","https://openalex.org/I1330989302","https://openalex.org/I142606810","https://openalex.org/I39565521"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Omer Subasi","raw_affiliation_strings":["Pacific Northwest National Laboratory (PNNL),Richland,WA,USA","Pacific Northwest National Laboratory (PNNL), Richland, WA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Pacific Northwest National Laboratory (PNNL),Richland,WA,USA","institution_ids":["https://openalex.org/I142606810"]},{"raw_affiliation_string":"Pacific Northwest National Laboratory (PNNL), Richland, WA, USA","institution_ids":["https://openalex.org/I142606810"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5010169378","display_name":"Joseph Manzano","orcid":"https://orcid.org/0000-0002-6616-0125"},"institutions":[{"id":"https://openalex.org/I142606810","display_name":"Pacific Northwest National Laboratory","ror":"https://ror.org/05h992307","country_code":"US","type":"facility","lineage":["https://openalex.org/I1325736334","https://openalex.org/I1330989302","https://openalex.org/I142606810","https://openalex.org/I39565521"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Joseph Manzano","raw_affiliation_strings":["Pacific Northwest National Laboratory (PNNL),Richland,WA,USA","Pacific Northwest National Laboratory (PNNL), Richland, WA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Pacific Northwest National Laboratory (PNNL),Richland,WA,USA","institution_ids":["https://openalex.org/I142606810"]},{"raw_affiliation_string":"Pacific Northwest National Laboratory (PNNL), Richland, WA, USA","institution_ids":["https://openalex.org/I142606810"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5038062469","display_name":"Kevin Barker","orcid":"https://orcid.org/0000-0003-4947-0559"},"institutions":[{"id":"https://openalex.org/I142606810","display_name":"Pacific Northwest National Laboratory","ror":"https://ror.org/05h992307","country_code":"US","type":"facility","lineage":["https://openalex.org/I1325736334","https://openalex.org/I1330989302","https://openalex.org/I142606810","https://openalex.org/I39565521"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Kevin Barker","raw_affiliation_strings":["Pacific Northwest National Laboratory (PNNL),Richland,WA,USA","Pacific Northwest National Laboratory (PNNL), Richland, WA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Pacific Northwest National Laboratory (PNNL),Richland,WA,USA","institution_ids":["https://openalex.org/I142606810"]},{"raw_affiliation_string":"Pacific Northwest National Laboratory (PNNL), Richland, WA, USA","institution_ids":["https://openalex.org/I142606810"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I142606810"],"apc_list":null,"apc_paid":null,"fwci":1.0892,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.70210791,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"219","last_page":"226"},"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":0.994700014591217,"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":0.9923999905586243,"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/denial-of-service-attack","display_name":"Denial-of-service attack","score":0.8101939558982849},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7348238229751587},{"id":"https://openalex.org/keywords/leverage","display_name":"Leverage (statistics)","score":0.6521799564361572},{"id":"https://openalex.org/keywords/scalability","display_name":"Scalability","score":0.6384170651435852},{"id":"https://openalex.org/keywords/false-positive-paradox","display_name":"False positive paradox","score":0.5716414451599121},{"id":"https://openalex.org/keywords/entropy","display_name":"Entropy (arrow of time)","score":0.5052726864814758},{"id":"https://openalex.org/keywords/false-alarm","display_name":"False alarm","score":0.41235288977622986},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.38148418068885803},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3625358045101166},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.35727930068969727},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3439438045024872}],"concepts":[{"id":"https://openalex.org/C38822068","wikidata":"https://www.wikidata.org/wiki/Q131406","display_name":"Denial-of-service attack","level":3,"score":0.8101939558982849},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7348238229751587},{"id":"https://openalex.org/C153083717","wikidata":"https://www.wikidata.org/wiki/Q6535263","display_name":"Leverage (statistics)","level":2,"score":0.6521799564361572},{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.6384170651435852},{"id":"https://openalex.org/C64869954","wikidata":"https://www.wikidata.org/wiki/Q1859747","display_name":"False positive paradox","level":2,"score":0.5716414451599121},{"id":"https://openalex.org/C106301342","wikidata":"https://www.wikidata.org/wiki/Q4117933","display_name":"Entropy (arrow of time)","level":2,"score":0.5052726864814758},{"id":"https://openalex.org/C2776836416","wikidata":"https://www.wikidata.org/wiki/Q1364844","display_name":"False alarm","level":2,"score":0.41235288977622986},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.38148418068885803},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3625358045101166},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.35727930068969727},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3439438045024872},{"id":"https://openalex.org/C110875604","wikidata":"https://www.wikidata.org/wiki/Q75","display_name":"The Internet","level":2,"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/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","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}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/csr57506.2023.10224957","is_oa":false,"landing_page_url":"https://doi.org/10.1109/csr57506.2023.10224957","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE International Conference on Cyber Security and Resilience (CSR)","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:2109.08758","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2109.08758","pdf_url":"https://arxiv.org/pdf/2109.08758","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"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":"text"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2109.08758","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2109.08758","pdf_url":"https://arxiv.org/pdf/2109.08758","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"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":"text"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1967746503","display_name":null,"funder_award_id":"DE-AC05-76RL01830","funder_id":"https://openalex.org/F4320338354","funder_display_name":"Pacific Northwest National Laboratory"},{"id":"https://openalex.org/G5200347334","display_name":null,"funder_award_id":"DE-AC05-76RL01830","funder_id":"https://openalex.org/F4320306084","funder_display_name":"U.S. Department of Energy"}],"funders":[{"id":"https://openalex.org/F4320306084","display_name":"U.S. Department of Energy","ror":"https://ror.org/01bj3aw27"},{"id":"https://openalex.org/F4320338354","display_name":"Pacific Northwest National Laboratory","ror":"https://ror.org/05h992307"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":38,"referenced_works":["https://openalex.org/W1983874169","https://openalex.org/W1987034518","https://openalex.org/W1995875735","https://openalex.org/W2031163547","https://openalex.org/W2101234009","https://openalex.org/W2101807845","https://openalex.org/W2118369633","https://openalex.org/W2122882636","https://openalex.org/W2141910941","https://openalex.org/W2346047936","https://openalex.org/W2378208052","https://openalex.org/W2487868906","https://openalex.org/W2591391565","https://openalex.org/W2597472767","https://openalex.org/W2603295249","https://openalex.org/W2775195841","https://openalex.org/W2783146946","https://openalex.org/W2789828921","https://openalex.org/W2794810159","https://openalex.org/W2889592383","https://openalex.org/W2891539013","https://openalex.org/W2898471460","https://openalex.org/W2940145198","https://openalex.org/W2959627510","https://openalex.org/W2965047905","https://openalex.org/W2971978996","https://openalex.org/W2982682021","https://openalex.org/W3005218645","https://openalex.org/W3020967770","https://openalex.org/W3045721717","https://openalex.org/W3049461974","https://openalex.org/W3084968870","https://openalex.org/W3095107637","https://openalex.org/W3106477509","https://openalex.org/W4289389619","https://openalex.org/W4393509101","https://openalex.org/W6675354045","https://openalex.org/W6769694850"],"related_works":["https://openalex.org/W4386482731","https://openalex.org/W4385302085","https://openalex.org/W2360429410","https://openalex.org/W1557094818","https://openalex.org/W2765763546","https://openalex.org/W4256682929","https://openalex.org/W335511927","https://openalex.org/W4239662759","https://openalex.org/W2471811227","https://openalex.org/W2217591390"],"abstract_inverted_index":{"Denial-of-Service":[0],"(DoS)":[1],"attacks":[2,11],"are":[3],"one":[4],"the":[5,24,66,72,81,85,93,96,102,112,120,123,136,139,142,186,191,197],"most":[6],"common":[7],"and":[8,34,78,141,208],"consequential":[9],"cyber":[10],"in":[12,163],"computer":[13],"networks.":[14],"While":[15],"existing":[16],"research":[17],"offers":[18],"a":[19,29,49,116,180,205,209],"plethora":[20],"of":[21,26,68,75,87,95,101,122,126,138,161,165,183],"detection":[22,36,157],"methods,":[23],"issue":[25],"achieving":[27],"scalability,":[28],"low":[30],"false":[31,166],"positive":[32],"rate,":[33],"high":[35],"accuracy":[37,182,189],"remains":[38],"open.":[39],"In":[40,57],"this":[41,45,58,88,132],"work,":[42],"we":[43,63,110,134],"address":[44],"problem":[46],"by":[47,158],"developing":[48],"differential":[50],"method":[51],"based":[52],"on":[53,168],"generalized":[54],"entropy":[55,73,124],"progression.":[56],"method,":[59],"named":[60],"as":[61],"DoDGE,":[62],"continuously":[64],"fit":[65,70],"line":[67,89],"best":[69],"to":[71,105,172],"progression":[74,125],"destination":[76],"addresses":[77,128],"check":[79],"if":[80],"derivative,":[82],"that":[83,114,151,200],"is,":[84],"slope":[86],"is":[90,129,194],"less":[91],"than":[92],"negative":[94],"dynamically":[97],"computed":[98],"standard":[99],"deviation":[100],"derivatives.":[103],"Furthermore,":[104],"distinguish":[106],"from":[107],"flash":[108,117,206],"events,":[109],"leverage":[111],"symmetry":[113],"when":[115],"event":[118,207],"occurs,":[119],"derivative":[121],"source":[127],"positive.":[130],"With":[131],"design,":[133],"omit":[135],"usage":[137],"thresholds":[140],"results":[143,198],"with":[144],"five":[145],"real-world":[146],"network":[147],"traffic":[148],"datasets":[149],"confirm":[150],"DoDGE":[152,178,201],"outperforms":[153],"threshold-based":[154],"DoS":[155,210],"attack":[156],"two":[159],"orders":[160],"magnitude":[162],"terms":[164],"positives":[167],"average.":[169],"When":[170],"compared":[171],"ten":[173],"machine":[174],"learning":[175],"(ML)":[176],"models,":[177],"achieves":[179],"balanced":[181,188],"99%,":[184],"while":[185],"average":[187],"for":[190],"ML":[192],"models":[193],"52%.":[195],"Moreover,":[196],"show":[199],"successfully":[202],"differentiates":[203],"between":[204],"attack.":[211]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
