{"id":"https://openalex.org/W4364305304","doi":"https://doi.org/10.1109/aipr57179.2022.10092216","title":"Adversarial Machine Learning Attacks in Internet of Things Systems","display_name":"Adversarial Machine Learning Attacks in Internet of Things Systems","publication_year":2022,"publication_date":"2022-10-11","ids":{"openalex":"https://openalex.org/W4364305304","doi":"https://doi.org/10.1109/aipr57179.2022.10092216"},"language":"en","primary_location":{"id":"doi:10.1109/aipr57179.2022.10092216","is_oa":false,"landing_page_url":"https://doi.org/10.1109/aipr57179.2022.10092216","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 IEEE Applied Imagery Pattern Recognition Workshop (AIPR)","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/A5032750967","display_name":"Rachida Kone","orcid":null},"institutions":[{"id":"https://openalex.org/I83909951","display_name":"Morgan State University","ror":"https://ror.org/017d8gk22","country_code":"US","type":"education","lineage":["https://openalex.org/I83909951"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Rachida Kone","raw_affiliation_strings":["Morgan State University,Department of Electrical Engineering,Baltimore,Maryland,21251"],"affiliations":[{"raw_affiliation_string":"Morgan State University,Department of Electrical Engineering,Baltimore,Maryland,21251","institution_ids":["https://openalex.org/I83909951"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5059278624","display_name":"Otily Toutsop","orcid":null},"institutions":[{"id":"https://openalex.org/I83909951","display_name":"Morgan State University","ror":"https://ror.org/017d8gk22","country_code":"US","type":"education","lineage":["https://openalex.org/I83909951"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Otily Toutsop","raw_affiliation_strings":["Morgan State University,Department of Electrical Engineering,Baltimore,Maryland,21251"],"affiliations":[{"raw_affiliation_string":"Morgan State University,Department of Electrical Engineering,Baltimore,Maryland,21251","institution_ids":["https://openalex.org/I83909951"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5006473764","display_name":"Ketchiozo Wandji Thierry","orcid":null},"institutions":[{"id":"https://openalex.org/I83909951","display_name":"Morgan State University","ror":"https://ror.org/017d8gk22","country_code":"US","type":"education","lineage":["https://openalex.org/I83909951"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Ketchiozo Wandji Thierry","raw_affiliation_strings":["Morgan State University,Department of Electrical Engineering,Baltimore,Maryland,21251"],"affiliations":[{"raw_affiliation_string":"Morgan State University,Department of Electrical Engineering,Baltimore,Maryland,21251","institution_ids":["https://openalex.org/I83909951"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5063608429","display_name":"Kevin Kornegay","orcid":"https://orcid.org/0000-0002-5233-0154"},"institutions":[{"id":"https://openalex.org/I83909951","display_name":"Morgan State University","ror":"https://ror.org/017d8gk22","country_code":"US","type":"education","lineage":["https://openalex.org/I83909951"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Kevin Kornegay","raw_affiliation_strings":["Morgan State University,Department of Electrical Engineering,Baltimore,Maryland,21251"],"affiliations":[{"raw_affiliation_string":"Morgan State University,Department of Electrical Engineering,Baltimore,Maryland,21251","institution_ids":["https://openalex.org/I83909951"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5003284790","display_name":"Joy Falaye","orcid":null},"institutions":[{"id":"https://openalex.org/I83909951","display_name":"Morgan State University","ror":"https://ror.org/017d8gk22","country_code":"US","type":"education","lineage":["https://openalex.org/I83909951"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Joy Falaye","raw_affiliation_strings":["Morgan State University,Department of Electrical Engineering,Baltimore,Maryland,21251"],"affiliations":[{"raw_affiliation_string":"Morgan State University,Department of Electrical Engineering,Baltimore,Maryland,21251","institution_ids":["https://openalex.org/I83909951"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5032750967"],"corresponding_institution_ids":["https://openalex.org/I83909951"],"apc_list":null,"apc_paid":null,"fwci":0.828,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.78396316,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"7"},"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":0.9991999864578247,"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":0.9977999925613403,"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":0.8242334127426147},{"id":"https://openalex.org/keywords/testbed","display_name":"Testbed","score":0.7187787294387817},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.6745596528053284},{"id":"https://openalex.org/keywords/exploit","display_name":"Exploit","score":0.6689305305480957},{"id":"https://openalex.org/keywords/hacker","display_name":"Hacker","score":0.6628309488296509},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6390367746353149},{"id":"https://openalex.org/keywords/decision-tree","display_name":"Decision tree","score":0.5922799706459045},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.5478335618972778},{"id":"https://openalex.org/keywords/adversarial-machine-learning","display_name":"Adversarial machine learning","score":0.5360565185546875},{"id":"https://openalex.org/keywords/malware","display_name":"Malware","score":0.5258389115333557},{"id":"https://openalex.org/keywords/the-internet","display_name":"The Internet","score":0.4793480336666107},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.33396846055984497},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.18032389879226685},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.13490384817123413}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8242334127426147},{"id":"https://openalex.org/C31395832","wikidata":"https://www.wikidata.org/wiki/Q1318674","display_name":"Testbed","level":2,"score":0.7187787294387817},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.6745596528053284},{"id":"https://openalex.org/C165696696","wikidata":"https://www.wikidata.org/wiki/Q11287","display_name":"Exploit","level":2,"score":0.6689305305480957},{"id":"https://openalex.org/C86844869","wikidata":"https://www.wikidata.org/wiki/Q2798820","display_name":"Hacker","level":2,"score":0.6628309488296509},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6390367746353149},{"id":"https://openalex.org/C84525736","wikidata":"https://www.wikidata.org/wiki/Q831366","display_name":"Decision tree","level":2,"score":0.5922799706459045},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.5478335618972778},{"id":"https://openalex.org/C2778403875","wikidata":"https://www.wikidata.org/wiki/Q20312394","display_name":"Adversarial machine learning","level":3,"score":0.5360565185546875},{"id":"https://openalex.org/C541664917","wikidata":"https://www.wikidata.org/wiki/Q14001","display_name":"Malware","level":2,"score":0.5258389115333557},{"id":"https://openalex.org/C110875604","wikidata":"https://www.wikidata.org/wiki/Q75","display_name":"The Internet","level":2,"score":0.4793480336666107},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.33396846055984497},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.18032389879226685},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.13490384817123413}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/aipr57179.2022.10092216","is_oa":false,"landing_page_url":"https://doi.org/10.1109/aipr57179.2022.10092216","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 IEEE Applied Imagery Pattern Recognition Workshop (AIPR)","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":47,"referenced_works":["https://openalex.org/W2009514435","https://openalex.org/W2140288896","https://openalex.org/W2621632632","https://openalex.org/W2736402963","https://openalex.org/W2755087487","https://openalex.org/W2810674385","https://openalex.org/W2888030392","https://openalex.org/W2893505340","https://openalex.org/W2908537574","https://openalex.org/W2910235202","https://openalex.org/W2939757977","https://openalex.org/W2940895343","https://openalex.org/W2941015878","https://openalex.org/W2950718835","https://openalex.org/W2971986980","https://openalex.org/W2990309507","https://openalex.org/W3011659198","https://openalex.org/W3015448029","https://openalex.org/W3015903302","https://openalex.org/W3016493309","https://openalex.org/W3019963807","https://openalex.org/W3021577838","https://openalex.org/W3031351653","https://openalex.org/W3043953517","https://openalex.org/W3059813204","https://openalex.org/W3087850858","https://openalex.org/W3113650533","https://openalex.org/W3137869959","https://openalex.org/W3160376784","https://openalex.org/W3168914511","https://openalex.org/W3198350258","https://openalex.org/W3203358418","https://openalex.org/W4229452920","https://openalex.org/W4251817184","https://openalex.org/W4285101254","https://openalex.org/W4295308277","https://openalex.org/W4297821027","https://openalex.org/W6676317167","https://openalex.org/W6743493502","https://openalex.org/W6761422258","https://openalex.org/W6775031349","https://openalex.org/W6777536727","https://openalex.org/W6778974173","https://openalex.org/W6786382716","https://openalex.org/W6787341417","https://openalex.org/W6790107205","https://openalex.org/W6794632780"],"related_works":["https://openalex.org/W2883256816","https://openalex.org/W2921504876","https://openalex.org/W2171408034","https://openalex.org/W3003320923","https://openalex.org/W2106140982","https://openalex.org/W3159204880","https://openalex.org/W2982631433","https://openalex.org/W2800890348","https://openalex.org/W4380786369","https://openalex.org/W3081416576"],"abstract_inverted_index":{"Researchers":[0],"are":[1],"looking":[2],"into":[3],"solutions":[4],"to":[5,78,85,92,100,184],"support":[6],"the":[7,20,31,36,40,75,94,114,120,137,166,170,180,190,203],"enormous":[8],"demand":[9],"for":[10,34,70,129],"wireless":[11],"communication,":[12],"which":[13,73],"has":[14,67,111],"been":[15,68],"exponentially":[16],"increasing":[17],"along":[18],"with":[19],"growth":[21],"of":[22,57,96,119,127,143,147,202,208],"technology.":[23],"The":[24,55,151],"sixth":[25],"generation":[26],"(6G)":[27],"Network":[28],"emerged":[29],"as":[30],"leading":[32],"solution":[33],"satisfying":[35],"requirements":[37],"placed":[38],"on":[39,47],"telecommunications":[41],"system.":[42],"6G":[43],"technology":[44],"mainly":[45],"depends":[46],"various":[48,79],"machine":[49,59,97],"learning":[50,60,98],"and":[51,160,172,188,200,213],"artificial":[52],"intelligence":[53],"techniques.":[54],"performance":[56],"these":[58],"algorithms":[61,99,123],"is":[62,90,117],"high.":[63],"Still,":[64],"their":[65],"security":[66,95],"neglected":[69],"some":[71],"reason,":[72],"leaves":[74],"door":[76],"open":[77],"vulnerabilities":[80],"that":[81,113],"attackers":[82],"can":[83],"exploit":[84],"compromise":[86],"systems.":[87],"Therefore,":[88],"it":[89],"essential":[91],"evaluate":[93,163],"prevent":[101],"them":[102],"from":[103,139],"being":[104],"spoofed":[105],"by":[106,125],"malicious":[107],"hackers.":[108],"Prior":[109],"research":[110],"shown":[112],"decision":[115],"tree":[116],"one":[118],"most":[121],"popular":[122],"used":[124],"80%":[126],"researchers":[128],"classification":[130],"problems.":[131],"In":[132],"this":[133],"work,":[134],"we":[135],"collect":[136],"dataset":[138,168,187],"a":[140,174,193],"laboratory":[141],"testbed":[142],"over":[144],"100":[145],"Internet":[146],"things":[148],"(IoT)":[149],"devices.":[150],"devices":[152],"include":[153],"smart":[154,156],"cameras,":[155],"light":[157],"bulbs,":[158],"Alexa,":[159],"others.":[161],"We":[162,177],"classifiers":[164],"using":[165],"original":[167],"during":[169],"experiment":[171],"record":[173,189],"98%":[175],"accuracy.":[176],"then":[178],"use":[179],"label-flipping":[181],"attack":[182],"approach":[183],"poison":[185,204],"our":[186],"output.":[191],"As":[192],"result,":[194],"flipping":[195],"10%,":[196],"20%,":[197],"30%,":[198],"40%,":[199],"50%":[201],"data":[205],"generated":[206],"accuracies":[207],"86%,":[209],"74%,":[210],"64%,":[211],"54%,":[212],"50%,":[214],"respectively.":[215]},"counts_by_year":[{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1}],"updated_date":"2026-03-20T23:20:44.827607","created_date":"2025-10-10T00:00:00"}
