{"id":"https://openalex.org/W3042713365","doi":"https://doi.org/10.1145/3395352.3402627","title":"A network security classifier defense","display_name":"A network security classifier defense","publication_year":2020,"publication_date":"2020-07-13","ids":{"openalex":"https://openalex.org/W3042713365","doi":"https://doi.org/10.1145/3395352.3402627","mag":"3042713365"},"language":"en","primary_location":{"id":"doi:10.1145/3395352.3402627","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3395352.3402627","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2nd ACM Workshop on Wireless Security and Machine Learning","raw_type":"proceedings-article"},"type":"conference-paper","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/A5049055215","display_name":"Michael J. De Lucia","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Michael J. De Lucia","raw_affiliation_strings":["Network Science Division"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Network Science Division","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5046118095","display_name":"Chase Cotton","orcid":"https://orcid.org/0000-0001-6218-1327"},"institutions":[{"id":"https://openalex.org/I86501945","display_name":"University of Delaware","ror":"https://ror.org/01sbq1a82","country_code":"US","type":"education","lineage":["https://openalex.org/I86501945"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Chase Cotton","raw_affiliation_strings":["University of Delaware"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Delaware","institution_ids":["https://openalex.org/I86501945"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.69,"has_fulltext":false,"cited_by_count":10,"citation_normalized_percentile":{"value":0.73167104,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"67","last_page":"73"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11689","display_name":"Adversarial Robustness in Machine Learning","score":0.9997000098228455,"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"}},"topics":[{"id":"https://openalex.org/T11689","display_name":"Adversarial Robustness in Machine Learning","score":0.9997000098228455,"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":0.9887999892234802,"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/T10400","display_name":"Network Security and Intrusion Detection","score":0.9804999828338623,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.848892092704773},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.724043071269989},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.6411792635917664},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5977413654327393},{"id":"https://openalex.org/keywords/network-security","display_name":"Network security","score":0.5251274108886719},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.28592348098754883}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.848892092704773},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.724043071269989},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.6411792635917664},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5977413654327393},{"id":"https://openalex.org/C182590292","wikidata":"https://www.wikidata.org/wiki/Q989632","display_name":"Network security","level":2,"score":0.5251274108886719},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.28592348098754883}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3395352.3402627","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3395352.3402627","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2nd ACM Workshop on Wireless Security and Machine Learning","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Peace, Justice and strong institutions","score":0.5099999904632568,"id":"https://metadata.un.org/sdg/16"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":18,"referenced_works":["https://openalex.org/W194355396","https://openalex.org/W1197477582","https://openalex.org/W2011112929","https://openalex.org/W2047237187","https://openalex.org/W2124242181","https://openalex.org/W2136461127","https://openalex.org/W2161470437","https://openalex.org/W2162275200","https://openalex.org/W2293768274","https://openalex.org/W2618043096","https://openalex.org/W2753594008","https://openalex.org/W2773446523","https://openalex.org/W2906998334","https://openalex.org/W2948348660","https://openalex.org/W2962777143","https://openalex.org/W2964153729","https://openalex.org/W2994725226","https://openalex.org/W4247200422"],"related_works":["https://openalex.org/W2961085424","https://openalex.org/W4306674287","https://openalex.org/W4387369504","https://openalex.org/W3046775127","https://openalex.org/W4394896187","https://openalex.org/W3170094116","https://openalex.org/W4386462264","https://openalex.org/W3107602296","https://openalex.org/W4364306694","https://openalex.org/W4312192474"],"abstract_inverted_index":{"The":[0],"discovery":[1],"of":[2,22,71,97,127,141,162,183,195,223,231,246],"practical":[3],"adversarial":[4],"machine":[5,10],"learning":[6],"(AML)":[7],"attacks":[8,31,58],"against":[9,29,56,152],"learning-based":[11],"wired":[12,33],"and":[13,34,225,227],"wireless":[14,35],"network":[15,41,60,83,99,104,120,149,166],"security":[16,42,61,84,100,105,121,150],"detectors":[17],"has":[18],"driven":[19],"the":[20,69,95,138,187,191,229,247],"necessity":[21],"a":[23,26,54,82,89,98,103,108,115,124,131,159,207,221,233,243],"defense.":[24,112],"Without":[25],"defense":[27,55,176,205,210,219],"mechanism":[28],"AML,":[30],"in":[32,45,178],"networks":[36],"will":[37],"go":[38],"unnoticed":[39],"by":[40],"classifiers":[43,122,226],"resulting":[44],"their":[46],"ineffectiveness.":[47],"Therefore,":[48,102,199],"it":[49],"is":[50,186],"essential":[51],"to":[52,81,145,164,172,190,215],"motivate":[53],"AML":[57,64,76,154,175,204,218],"for":[59,111,119,193],"classifiers.":[62],"Existing":[63],"defenses":[65,77],"are":[66],"generally":[67,93],"within":[68],"context":[70],"image":[72,87],"recognition.":[73],"However,":[74],"these":[75],"have":[78],"limited":[79],"transferability":[80],"context.":[85],"Unlike":[86],"recognition,":[88],"subject":[90],"matter":[91],"expert":[92],"derives":[94],"features":[96,163,237],"classifier.":[101,198],"classifier":[106,151,234],"requires":[107],"distinctive":[109],"strategy":[110],"We":[113],"propose":[114,171,201,214],"novel":[116,160],"defense-in-depth":[117],"approach":[118,177,185],"using":[123,130],"hierarchical":[125,143],"ensemble":[126,144],"classifiers,":[128,240],"each":[129,196,241],"disparate":[132],"feature":[133],"set.":[134],"Subsequently":[135],"we":[136,157,170,200,213],"show":[137],"effective":[139],"use":[140],"our":[142,174,184,203,217],"defend":[146],"an":[147,153],"existing":[148],"attack.":[155],"Additionally,":[156,212],"discover":[158],"set":[161],"detect":[165],"scanning":[167],"activity.":[168],"Lastly,":[169],"enhance":[173],"future":[179],"work.":[180],"A":[181],"shortcoming":[182],"increased":[188],"cost":[189],"defender":[192],"implementation":[194],"independent":[197],"combining":[202],"with":[206,220,235,242],"moving":[208],"target":[209],"approach.":[211],"evaluate":[216,228],"variety":[222],"datasets":[224],"effectiveness":[230],"decomposing":[232],"many":[236],"into":[238],"multiple":[239],"small":[244],"subset":[245],"features.":[248]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}