{"id":"https://openalex.org/W3175052831","doi":"https://doi.org/10.1145/3468218.3469050","title":"Poisoning Attack Anticipation in Mobile Crowdsensing","display_name":"Poisoning Attack Anticipation in Mobile Crowdsensing","publication_year":2021,"publication_date":"2021-06-21","ids":{"openalex":"https://openalex.org/W3175052831","doi":"https://doi.org/10.1145/3468218.3469050","mag":"3175052831"},"language":"en","primary_location":{"id":"doi:10.1145/3468218.3469050","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3468218.3469050","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 3rd ACM Workshop on Wireless Security and Machine Learning","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/A5016956325","display_name":"Alexandre Prud\u2019homme","orcid":null},"institutions":[{"id":"https://openalex.org/I153718931","display_name":"University of Ottawa","ror":"https://ror.org/03c4mmv16","country_code":"CA","type":"education","lineage":["https://openalex.org/I153718931"]}],"countries":["CA"],"is_corresponding":true,"raw_author_name":"Alexandre Prud'Homme","raw_affiliation_strings":["University of Ottawa, Ottawa, ON"],"affiliations":[{"raw_affiliation_string":"University of Ottawa, Ottawa, ON","institution_ids":["https://openalex.org/I153718931"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5003131477","display_name":"Burak Kantarc\u0131","orcid":"https://orcid.org/0000-0003-0220-7956"},"institutions":[{"id":"https://openalex.org/I153718931","display_name":"University of Ottawa","ror":"https://ror.org/03c4mmv16","country_code":"CA","type":"education","lineage":["https://openalex.org/I153718931"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Burak Kantarci","raw_affiliation_strings":["University of Ottawa, Ottawa, ON"],"affiliations":[{"raw_affiliation_string":"University of Ottawa, Ottawa, ON","institution_ids":["https://openalex.org/I153718931"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5016956325"],"corresponding_institution_ids":["https://openalex.org/I153718931"],"apc_list":null,"apc_paid":null,"fwci":1.406,"has_fulltext":false,"cited_by_count":8,"citation_normalized_percentile":{"value":0.84416712,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"73","last_page":"78"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11704","display_name":"Mobile Crowdsensing and Crowdsourcing","score":0.9998000264167786,"subfield":{"id":"https://openalex.org/subfields/1706","display_name":"Computer Science Applications"},"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/T11704","display_name":"Mobile Crowdsensing and Crowdsourcing","score":0.9998000264167786,"subfield":{"id":"https://openalex.org/subfields/1706","display_name":"Computer Science Applications"},"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/T10764","display_name":"Privacy-Preserving Technologies in Data","score":0.9969000220298767,"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/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9952999949455261,"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/crowdsensing","display_name":"Crowdsensing","score":0.8427561521530151},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7688152194023132},{"id":"https://openalex.org/keywords/anticipation","display_name":"Anticipation (artificial intelligence)","score":0.6628371477127075},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.5860852003097534},{"id":"https://openalex.org/keywords/adversary","display_name":"Adversary","score":0.5743963718414307},{"id":"https://openalex.org/keywords/server","display_name":"Server","score":0.5685833096504211},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5366209745407104},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5324163436889648},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.5145377516746521},{"id":"https://openalex.org/keywords/adversarial-system","display_name":"Adversarial system","score":0.4938586354255676},{"id":"https://openalex.org/keywords/mobile-device","display_name":"Mobile device","score":0.49233925342559814},{"id":"https://openalex.org/keywords/mobile-computing","display_name":"Mobile computing","score":0.42545604705810547},{"id":"https://openalex.org/keywords/trilateration","display_name":"Trilateration","score":0.42409005761146545},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.14479148387908936},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.12174984812736511},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.07880282402038574}],"concepts":[{"id":"https://openalex.org/C2780821482","wikidata":"https://www.wikidata.org/wiki/Q25381721","display_name":"Crowdsensing","level":2,"score":0.8427561521530151},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7688152194023132},{"id":"https://openalex.org/C176777502","wikidata":"https://www.wikidata.org/wiki/Q4774623","display_name":"Anticipation (artificial intelligence)","level":2,"score":0.6628371477127075},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.5860852003097534},{"id":"https://openalex.org/C41065033","wikidata":"https://www.wikidata.org/wiki/Q2825412","display_name":"Adversary","level":2,"score":0.5743963718414307},{"id":"https://openalex.org/C93996380","wikidata":"https://www.wikidata.org/wiki/Q44127","display_name":"Server","level":2,"score":0.5685833096504211},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5366209745407104},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5324163436889648},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.5145377516746521},{"id":"https://openalex.org/C37736160","wikidata":"https://www.wikidata.org/wiki/Q1801315","display_name":"Adversarial system","level":2,"score":0.4938586354255676},{"id":"https://openalex.org/C186967261","wikidata":"https://www.wikidata.org/wiki/Q5082128","display_name":"Mobile device","level":2,"score":0.49233925342559814},{"id":"https://openalex.org/C144543869","wikidata":"https://www.wikidata.org/wiki/Q2738570","display_name":"Mobile computing","level":2,"score":0.42545604705810547},{"id":"https://openalex.org/C20832178","wikidata":"https://www.wikidata.org/wiki/Q1146298","display_name":"Trilateration","level":3,"score":0.42409005761146545},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.14479148387908936},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.12174984812736511},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.07880282402038574},{"id":"https://openalex.org/C66938386","wikidata":"https://www.wikidata.org/wiki/Q633538","display_name":"Structural engineering","level":1,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C62611344","wikidata":"https://www.wikidata.org/wiki/Q1062658","display_name":"Node (physics)","level":2,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3468218.3469050","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3468218.3469050","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 3rd ACM Workshop on Wireless Security and Machine Learning","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/16","score":0.8100000023841858,"display_name":"Peace, Justice and strong institutions"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":22,"referenced_works":["https://openalex.org/W1979579834","https://openalex.org/W2069514153","https://openalex.org/W2110802877","https://openalex.org/W2124520726","https://openalex.org/W2295598076","https://openalex.org/W2482922870","https://openalex.org/W2779862108","https://openalex.org/W2798910397","https://openalex.org/W2807931621","https://openalex.org/W2943584607","https://openalex.org/W2945100954","https://openalex.org/W2947538082","https://openalex.org/W2963188700","https://openalex.org/W2963373106","https://openalex.org/W2982474461","https://openalex.org/W2997357271","https://openalex.org/W2997591727","https://openalex.org/W3040780676","https://openalex.org/W3045162568","https://openalex.org/W3096271117","https://openalex.org/W3102476541","https://openalex.org/W4297790155"],"related_works":["https://openalex.org/W1707434239","https://openalex.org/W3130929031","https://openalex.org/W2248192341","https://openalex.org/W2790716548","https://openalex.org/W2085095272","https://openalex.org/W2761350175","https://openalex.org/W2091347175","https://openalex.org/W2337616151","https://openalex.org/W2218990805","https://openalex.org/W3213338949"],"abstract_inverted_index":{"Mobile":[0,52,71],"Crowdsensing":[1,53,72],"is":[2],"prone":[3,106],"to":[4,12,23,39,43,107],"adversarial":[5],"attacks":[6,11],"particularly":[7],"the":[8,14,17,25,31,45,48,62,90,98,101,111,126,133],"data":[9,34,67,122],"injection":[10],"mislead":[13],"servers":[15],"in":[16,50,69,89,110],"decision-making":[18,91],"process.":[19],"This":[20],"paper":[21],"aims":[22,38],"tackle":[24],"problem":[26],"of":[27,33,47,64,100,113,135],"threat":[28],"anticipation":[29],"from":[30],"standpoint":[32],"poisoning":[35,68,123],"attacks,":[36],"and":[37,60],"model":[40,44],"various":[41,85],"classifiers":[42,88,137],"behaviour":[46],"adversaries":[49],"a":[51,70,76,80,108,119],"setting.":[54],"To":[55],"this":[56],"end,":[57],"we":[58,130],"study":[59],"quantify":[61],"impact":[63],"competitive":[65,120],"learning-based":[66,121],"environment":[73],"by":[74],"considering":[75],"black-box":[77],"attack":[78,124],"through":[79],"self":[81],"organizing":[82],"map.":[83],"Under":[84],"machine":[86],"learning":[87],"platforms,":[92],"it":[93],"has":[94],"been":[95],"shown":[96],"that":[97],"accuracy":[99],"crowdsensing":[102,127],"platform":[103],"decisions":[104],"are":[105],"decrease":[109],"range":[112],"18%-22%":[114],"when":[115],"an":[116],"adversary":[117],"pursues":[118],"on":[125],"platform.":[128],"Furthermore,":[129],"also":[131],"show":[132],"robustness":[134],"certain":[136],"under":[138],"increasing":[139],"poisoned":[140],"samples.":[141]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}