{"id":"https://openalex.org/W3206488020","doi":"https://doi.org/10.1145/3471621.3471856","title":"SniffMislead: Non-Intrusive Privacy Protection against Wireless Packet Sniffers in Smart Homes","display_name":"SniffMislead: Non-Intrusive Privacy Protection against Wireless Packet Sniffers in Smart Homes","publication_year":2021,"publication_date":"2021-10-06","ids":{"openalex":"https://openalex.org/W3206488020","doi":"https://doi.org/10.1145/3471621.3471856","mag":"3206488020"},"language":"en","primary_location":{"id":"doi:10.1145/3471621.3471856","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3471621.3471856","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"24th International Symposium on Research in Attacks, Intrusions and Defenses","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/A5078523903","display_name":"Xuanyu Liu","orcid":"https://orcid.org/0000-0001-8916-9942"},"institutions":[{"id":"https://openalex.org/I881766915","display_name":"Nanjing University","ror":"https://ror.org/01rxvg760","country_code":"CN","type":"education","lineage":["https://openalex.org/I881766915"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Xuanyu Liu","raw_affiliation_strings":["Nanjing University, China"],"affiliations":[{"raw_affiliation_string":"Nanjing University, China","institution_ids":["https://openalex.org/I881766915"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102018601","display_name":"Qiang Zeng","orcid":"https://orcid.org/0000-0001-9432-6017"},"institutions":[{"id":"https://openalex.org/I155781252","display_name":"University of South Carolina","ror":"https://ror.org/02b6qw903","country_code":"US","type":"education","lineage":["https://openalex.org/I155781252"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Qiang Zeng","raw_affiliation_strings":["University of South Carolina, US"],"affiliations":[{"raw_affiliation_string":"University of South Carolina, US","institution_ids":["https://openalex.org/I155781252"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5060514022","display_name":"Xiaojiang Du","orcid":"https://orcid.org/0000-0003-4235-9671"},"institutions":[{"id":"https://openalex.org/I84392919","display_name":"Temple University","ror":"https://ror.org/00kx1jb78","country_code":"US","type":"education","lineage":["https://openalex.org/I84392919"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Xiaojiang Du","raw_affiliation_strings":["Temple University, US"],"affiliations":[{"raw_affiliation_string":"Temple University, US","institution_ids":["https://openalex.org/I84392919"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5031980960","display_name":"Siva Likitha Valluru","orcid":"https://orcid.org/0009-0007-4694-3177"},"institutions":[{"id":"https://openalex.org/I155781252","display_name":"University of South Carolina","ror":"https://ror.org/02b6qw903","country_code":"US","type":"education","lineage":["https://openalex.org/I155781252"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Siva Likitha Valluru","raw_affiliation_strings":["University of South Carolina, US"],"affiliations":[{"raw_affiliation_string":"University of South Carolina, US","institution_ids":["https://openalex.org/I155781252"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5024107992","display_name":"Chenglong Fu","orcid":"https://orcid.org/0000-0002-8955-5429"},"institutions":[{"id":"https://openalex.org/I84392919","display_name":"Temple University","ror":"https://ror.org/00kx1jb78","country_code":"US","type":"education","lineage":["https://openalex.org/I84392919"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Chenglong Fu","raw_affiliation_strings":["Temple University, US"],"affiliations":[{"raw_affiliation_string":"Temple University, US","institution_ids":["https://openalex.org/I84392919"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103805225","display_name":"Xiao Fu","orcid":"https://orcid.org/0009-0006-6601-5290"},"institutions":[{"id":"https://openalex.org/I881766915","display_name":"Nanjing University","ror":"https://ror.org/01rxvg760","country_code":"CN","type":"education","lineage":["https://openalex.org/I881766915"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiao Fu","raw_affiliation_strings":["Nanjing University, China"],"affiliations":[{"raw_affiliation_string":"Nanjing University, China","institution_ids":["https://openalex.org/I881766915"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5073104000","display_name":"Bin Luo","orcid":"https://orcid.org/0000-0002-9036-0063"},"institutions":[{"id":"https://openalex.org/I881766915","display_name":"Nanjing University","ror":"https://ror.org/01rxvg760","country_code":"CN","type":"education","lineage":["https://openalex.org/I881766915"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bin Luo","raw_affiliation_strings":["Nanjing University, China"],"affiliations":[{"raw_affiliation_string":"Nanjing University, China","institution_ids":["https://openalex.org/I881766915"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":7,"corresponding_author_ids":["https://openalex.org/A5078523903"],"corresponding_institution_ids":["https://openalex.org/I881766915"],"apc_list":null,"apc_paid":null,"fwci":1.7676,"has_fulltext":false,"cited_by_count":15,"citation_normalized_percentile":{"value":0.87672502,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"33","last_page":"47"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11598","display_name":"Internet Traffic Analysis and Secure E-voting","score":0.9998999834060669,"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/T11598","display_name":"Internet Traffic Analysis and Secure E-voting","score":0.9998999834060669,"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/T10764","display_name":"Privacy-Preserving Technologies in Data","score":0.9980999827384949,"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/T11800","display_name":"User Authentication and Security Systems","score":0.996999979019165,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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/network-packet","display_name":"Network packet","score":0.7888190150260925},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7446026802062988},{"id":"https://openalex.org/keywords/encryption","display_name":"Encryption","score":0.6706520915031433},{"id":"https://openalex.org/keywords/testbed","display_name":"Testbed","score":0.6387457251548767},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.6236121654510498},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.6033248901367188},{"id":"https://openalex.org/keywords/packet-analyzer","display_name":"Packet analyzer","score":0.4587339460849762},{"id":"https://openalex.org/keywords/wireless","display_name":"Wireless","score":0.4510110318660736},{"id":"https://openalex.org/keywords/construct","display_name":"Construct (python library)","score":0.42662858963012695},{"id":"https://openalex.org/keywords/consistency","display_name":"Consistency (knowledge bases)","score":0.41836386919021606},{"id":"https://openalex.org/keywords/wireless-sensor-network","display_name":"Wireless sensor network","score":0.41380074620246887},{"id":"https://openalex.org/keywords/internet-privacy","display_name":"Internet privacy","score":0.34999775886535645},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.12228584289550781},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.08923158049583435}],"concepts":[{"id":"https://openalex.org/C158379750","wikidata":"https://www.wikidata.org/wiki/Q214111","display_name":"Network packet","level":2,"score":0.7888190150260925},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7446026802062988},{"id":"https://openalex.org/C148730421","wikidata":"https://www.wikidata.org/wiki/Q141090","display_name":"Encryption","level":2,"score":0.6706520915031433},{"id":"https://openalex.org/C31395832","wikidata":"https://www.wikidata.org/wiki/Q1318674","display_name":"Testbed","level":2,"score":0.6387457251548767},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.6236121654510498},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.6033248901367188},{"id":"https://openalex.org/C95362637","wikidata":"https://www.wikidata.org/wiki/Q54366","display_name":"Packet analyzer","level":3,"score":0.4587339460849762},{"id":"https://openalex.org/C555944384","wikidata":"https://www.wikidata.org/wiki/Q249","display_name":"Wireless","level":2,"score":0.4510110318660736},{"id":"https://openalex.org/C2780801425","wikidata":"https://www.wikidata.org/wiki/Q5164392","display_name":"Construct (python library)","level":2,"score":0.42662858963012695},{"id":"https://openalex.org/C2776436953","wikidata":"https://www.wikidata.org/wiki/Q5163215","display_name":"Consistency (knowledge bases)","level":2,"score":0.41836386919021606},{"id":"https://openalex.org/C24590314","wikidata":"https://www.wikidata.org/wiki/Q336038","display_name":"Wireless sensor network","level":2,"score":0.41380074620246887},{"id":"https://openalex.org/C108827166","wikidata":"https://www.wikidata.org/wiki/Q175975","display_name":"Internet privacy","level":1,"score":0.34999775886535645},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.12228584289550781},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.08923158049583435}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3471621.3471856","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3471621.3471856","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"24th International Symposium on Research in Attacks, Intrusions and Defenses","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.6600000262260437,"display_name":"Peace, Justice and strong institutions","id":"https://metadata.un.org/sdg/16"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":51,"referenced_works":["https://openalex.org/W1991133427","https://openalex.org/W2021949962","https://openalex.org/W2051552208","https://openalex.org/W2060457712","https://openalex.org/W2071949631","https://openalex.org/W2102460407","https://openalex.org/W2104956067","https://openalex.org/W2128332586","https://openalex.org/W2156279557","https://openalex.org/W2190207511","https://openalex.org/W2299599272","https://openalex.org/W2341433667","https://openalex.org/W2342507252","https://openalex.org/W2350778671","https://openalex.org/W2394784643","https://openalex.org/W2485569983","https://openalex.org/W2496233722","https://openalex.org/W2601292847","https://openalex.org/W2619642597","https://openalex.org/W2621148797","https://openalex.org/W2735520148","https://openalex.org/W2739921820","https://openalex.org/W2750674396","https://openalex.org/W2768718335","https://openalex.org/W2770448239","https://openalex.org/W2791710451","https://openalex.org/W2792078641","https://openalex.org/W2794756467","https://openalex.org/W2796990010","https://openalex.org/W2883406216","https://openalex.org/W2885414611","https://openalex.org/W2886320151","https://openalex.org/W2888505697","https://openalex.org/W2890188242","https://openalex.org/W2890559797","https://openalex.org/W2892556724","https://openalex.org/W2912944782","https://openalex.org/W2929305171","https://openalex.org/W2945159175","https://openalex.org/W2947175569","https://openalex.org/W2963256309","https://openalex.org/W2964029185","https://openalex.org/W2964344666","https://openalex.org/W2970971983","https://openalex.org/W2980558733","https://openalex.org/W3007016253","https://openalex.org/W3046246673","https://openalex.org/W3100966310","https://openalex.org/W3103349363","https://openalex.org/W3106168327","https://openalex.org/W4232691843"],"related_works":["https://openalex.org/W2384190786","https://openalex.org/W2077203200","https://openalex.org/W2560298834","https://openalex.org/W2393418578","https://openalex.org/W2390263853","https://openalex.org/W3167694431","https://openalex.org/W2367877613","https://openalex.org/W3153939733","https://openalex.org/W2736989783","https://openalex.org/W3173318817"],"abstract_inverted_index":{"With":[0],"the":[1,36,60,100,111,155,169,216],"booming":[2],"deployment":[3],"of":[4,21,87,102,157,181],"smart":[5,132,203],"homes,":[6],"concerns":[7],"about":[8],"user":[9,192],"privacy":[10],"keep":[11],"growing.":[12],"Recent":[13],"research":[14],"has":[15],"shown":[16],"that":[17,207],"encrypted":[18],"wireless":[19,83],"traffic":[20],"IoT":[22,71],"devices":[23],"can":[24,135],"be":[25,49],"exploited":[26],"by":[27],"packet-sniffing":[28],"attacks":[29,54],"to":[30,45,51,149,221],"reveal":[31],"users\u2019":[32,152],"privacy-sensitive":[33],"information":[34],"(e.g.,":[35,55],"time":[37],"when":[38],"residents":[39],"leave":[40],"their":[41],"home":[42,204],"and":[43,161,163,178],"go":[44],"work),":[46],"which":[47,91,134],"may":[48],"used":[50],"launch":[52],"further":[53],"a":[56,66,95,131,146,190,195,202],"break-in).":[57],"To":[58],"address":[59],"growing":[61],"concerns,":[62],"we":[63],"propose":[64],"SniffMislead,":[65],"non-intrusive":[67],"(i.e.,":[68],"without":[69],"modifying":[70],"devices,":[72],"hubs,":[73],"or":[74],"platforms)":[75],"privacy-protecting":[76],"approach,":[77],"based":[78],"on":[79],"packet":[80,84],"injection,":[81],"against":[82,94],"sniffers.":[85],"Instead":[86],"randomly":[88],"injecting":[89],"packets,":[90,183],"is":[92],"ineffective":[93],"smarter":[96],"attacker,":[97],"SniffMislead":[98,125,174,208],"proposes":[99],"notion":[101],"phantom":[103,128,151,191],"users,":[104],"\u201cpeople\u201d":[105],"who":[106],"do":[107],"not":[108],"exist":[109],"in":[110,130],"physical":[112],"world.":[113],"From":[114],"an":[115,138,211],"attacker\u2019s":[116,212],"perspective,":[117],"however,":[118],"they":[119],"are":[120],"perceived":[121],"as":[122,184,186],"real":[123,196],"users.":[124],"places":[126],"multiple":[127],"users":[129],"home,":[133],"effectively":[136],"prevent":[137],"attacker":[139],"from":[140,194,201,218],"inferring":[141],"useful":[142],"information.":[143],"We":[144,171],"design":[145],"top-down":[147],"approach":[148],"synthesize":[150],"behaviors,":[153],"construct":[154],"sequence":[156],"decoy":[158],"device":[159],"events":[160],"commands,":[162],"then":[164],"inject":[165],"corresponding":[166],"packets":[167],"into":[168],"home.":[170],"show":[172],"how":[173,187],"ensures":[175],"logical":[176],"integrity":[177],"contextual":[179],"consistency":[180],"injected":[182],"well":[185],"it":[188],"makes":[189],"indistinguishable":[193],"user.":[197],"Our":[198],"evaluation":[199],"results":[200],"testbed":[205],"demonstrate":[206],"significantly":[209],"reduces":[210],"privacy-inferring":[213],"capabilities,":[214],"bringing":[215],"accuracy":[217],"94.8%":[219],"down":[220],"3.5%.":[222]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":9}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
