{"id":"https://openalex.org/W4387126930","doi":"https://doi.org/10.1145/3565287.3616525","title":"Deception in Drone Surveillance Missions: Strategic vs. Learning Approaches","display_name":"Deception in Drone Surveillance Missions: Strategic vs. Learning Approaches","publication_year":2023,"publication_date":"2023-09-28","ids":{"openalex":"https://openalex.org/W4387126930","doi":"https://doi.org/10.1145/3565287.3616525"},"language":"en","primary_location":{"id":"doi:10.1145/3565287.3616525","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3565287.3616525","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3565287.3616525","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Twenty-fourth International Symposium on Theory, Algorithmic Foundations, and Protocol Design for Mobile Networks and Mobile Computing","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://dl.acm.org/doi/pdf/10.1145/3565287.3616525","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5006178191","display_name":"Zelin Wan","orcid":"https://orcid.org/0000-0001-5293-0363"},"institutions":[{"id":"https://openalex.org/I859038795","display_name":"Virginia Tech","ror":"https://ror.org/02smfhw86","country_code":"US","type":"education","lineage":["https://openalex.org/I859038795"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Zelin Wan","raw_affiliation_strings":["Virginia Tech, Falls Church, Virginia, United States of America"],"raw_orcid":"https://orcid.org/0000-0001-5293-0363","affiliations":[{"raw_affiliation_string":"Virginia Tech, Falls Church, Virginia, United States of America","institution_ids":["https://openalex.org/I859038795"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5011649304","display_name":"Jin-Hee Cho","orcid":"https://orcid.org/0000-0002-5908-4662"},"institutions":[{"id":"https://openalex.org/I859038795","display_name":"Virginia Tech","ror":"https://ror.org/02smfhw86","country_code":"US","type":"education","lineage":["https://openalex.org/I859038795"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jin-Hee Cho","raw_affiliation_strings":["Virginia Tech, Falls Church, Virginia, United States of America"],"raw_orcid":"https://orcid.org/0000-0002-5908-4662","affiliations":[{"raw_affiliation_string":"Virginia Tech, Falls Church, Virginia, United States of America","institution_ids":["https://openalex.org/I859038795"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5077937501","display_name":"Mu Zhu","orcid":"https://orcid.org/0000-0003-4303-4318"},"institutions":[{"id":"https://openalex.org/I137902535","display_name":"North Carolina State University","ror":"https://ror.org/04tj63d06","country_code":"US","type":"education","lineage":["https://openalex.org/I137902535"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Mu Zhu","raw_affiliation_strings":["North Carolina State University, Raleigh, North Carolina, USA"],"raw_orcid":"https://orcid.org/0000-0003-4303-4318","affiliations":[{"raw_affiliation_string":"North Carolina State University, Raleigh, North Carolina, USA","institution_ids":["https://openalex.org/I137902535"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5109171008","display_name":"Ahmed H. Anwar","orcid":null},"institutions":[{"id":"https://openalex.org/I166416128","display_name":"DEVCOM Army Research Laboratory","ror":"https://ror.org/011hc8f90","country_code":"US","type":"government","lineage":["https://openalex.org/I1304082316","https://openalex.org/I1330347796","https://openalex.org/I166416128","https://openalex.org/I2802705668","https://openalex.org/I4210154437"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Ahmed H. Anwar","raw_affiliation_strings":["Army Research Laboratory, Adelphi, Maryland, USA"],"raw_orcid":"https://orcid.org/0000-0001-8907-3043","affiliations":[{"raw_affiliation_string":"Army Research Laboratory, Adelphi, Maryland, USA","institution_ids":["https://openalex.org/I166416128"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5090126029","display_name":"Charles Kamhoua","orcid":"https://orcid.org/0000-0003-2169-5975"},"institutions":[{"id":"https://openalex.org/I166416128","display_name":"DEVCOM Army Research Laboratory","ror":"https://ror.org/011hc8f90","country_code":"US","type":"government","lineage":["https://openalex.org/I1304082316","https://openalex.org/I1330347796","https://openalex.org/I166416128","https://openalex.org/I2802705668","https://openalex.org/I4210154437"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Charles Kamhoua","raw_affiliation_strings":["Army Research Laboratory, Adelphi, Maryland, USA"],"raw_orcid":"https://orcid.org/0000-0003-2169-5975","affiliations":[{"raw_affiliation_string":"Army Research Laboratory, Adelphi, Maryland, USA","institution_ids":["https://openalex.org/I166416128"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5020679327","display_name":"Munindar P. Singh","orcid":"https://orcid.org/0000-0003-3599-3893"},"institutions":[{"id":"https://openalex.org/I137902535","display_name":"North Carolina State University","ror":"https://ror.org/04tj63d06","country_code":"US","type":"education","lineage":["https://openalex.org/I137902535"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Munindar Singh","raw_affiliation_strings":["North Carolina State University, Raleigh, North Carolina, United States of America"],"raw_orcid":"https://orcid.org/0000-0003-3599-3893","affiliations":[{"raw_affiliation_string":"North Carolina State University, Raleigh, North Carolina, United States of America","institution_ids":["https://openalex.org/I137902535"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.3628,"has_fulltext":true,"cited_by_count":1,"citation_normalized_percentile":{"value":0.47898157,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"382","last_page":"387"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10400","display_name":"Network Security and Intrusion Detection","score":0.9965000152587891,"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":0.9965000152587891,"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/T11689","display_name":"Adversarial Robustness in Machine Learning","score":0.9944000244140625,"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":0.9925000071525574,"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/drone","display_name":"Drone","score":0.9045642614364624},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7014782428741455},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.6475954055786133},{"id":"https://openalex.org/keywords/reinforcement-learning","display_name":"Reinforcement learning","score":0.6209365725517273},{"id":"https://openalex.org/keywords/deception","display_name":"Deception","score":0.5491374731063843},{"id":"https://openalex.org/keywords/denial-of-service-attack","display_name":"Denial-of-service attack","score":0.5122910737991333},{"id":"https://openalex.org/keywords/intrusion-detection-system","display_name":"Intrusion detection system","score":0.4303682744503021},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3170059323310852},{"id":"https://openalex.org/keywords/the-internet","display_name":"The Internet","score":0.08964991569519043}],"concepts":[{"id":"https://openalex.org/C59519942","wikidata":"https://www.wikidata.org/wiki/Q650665","display_name":"Drone","level":2,"score":0.9045642614364624},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7014782428741455},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.6475954055786133},{"id":"https://openalex.org/C97541855","wikidata":"https://www.wikidata.org/wiki/Q830687","display_name":"Reinforcement learning","level":2,"score":0.6209365725517273},{"id":"https://openalex.org/C2779267917","wikidata":"https://www.wikidata.org/wiki/Q170028","display_name":"Deception","level":2,"score":0.5491374731063843},{"id":"https://openalex.org/C38822068","wikidata":"https://www.wikidata.org/wiki/Q131406","display_name":"Denial-of-service attack","level":3,"score":0.5122910737991333},{"id":"https://openalex.org/C35525427","wikidata":"https://www.wikidata.org/wiki/Q745881","display_name":"Intrusion detection system","level":2,"score":0.4303682744503021},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3170059323310852},{"id":"https://openalex.org/C110875604","wikidata":"https://www.wikidata.org/wiki/Q75","display_name":"The Internet","level":2,"score":0.08964991569519043},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.0},{"id":"https://openalex.org/C54355233","wikidata":"https://www.wikidata.org/wiki/Q7162","display_name":"Genetics","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C77805123","wikidata":"https://www.wikidata.org/wiki/Q161272","display_name":"Social psychology","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:10.1145/3565287.3616525","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3565287.3616525","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3565287.3616525","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Twenty-fourth International Symposium on Theory, Algorithmic Foundations, and Protocol Design for Mobile Networks and Mobile Computing","raw_type":"proceedings-article"},{"id":"pmh:oai:vtechworks.lib.vt.edu:10919/116589","is_oa":true,"landing_page_url":"http://hdl.handle.net/10919/116589","pdf_url":"https://vtechworks.lib.vt.edu/bitstreams/634b3f23-4129-4aee-8d3c-45a703ed9d0b/download","source":{"id":"https://openalex.org/S4306400248","display_name":"VTechWorks (Virginia Tech)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I859038795","host_organization_name":"Virginia Tech","host_organization_lineage":["https://openalex.org/I859038795"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Article - Refereed"}],"best_oa_location":{"id":"doi:10.1145/3565287.3616525","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3565287.3616525","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3565287.3616525","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Twenty-fourth International Symposium on Theory, Algorithmic Foundations, and Protocol Design for Mobile Networks and Mobile Computing","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G6432118919","display_name":null,"funder_award_id":"W911NF-17-1-0370","funder_id":"https://openalex.org/F4320338281","funder_display_name":"Army Research Office"},{"id":"https://openalex.org/G7259598866","display_name":null,"funder_award_id":"W911NF-19-2-0150","funder_id":"https://openalex.org/F4320338295","funder_display_name":"Army Research Laboratory"},{"id":"https://openalex.org/G8863805959","display_name":null,"funder_award_id":"W911NF-20-2-0140","funder_id":"https://openalex.org/F4320338281","funder_display_name":"Army Research Office"}],"funders":[{"id":"https://openalex.org/F4320338281","display_name":"Army Research Office","ror":"https://ror.org/05epdh915"},{"id":"https://openalex.org/F4320338295","display_name":"Army Research Laboratory","ror":"https://ror.org/011hc8f90"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4387126930.pdf","grobid_xml":"https://content.openalex.org/works/W4387126930.grobid-xml"},"referenced_works_count":20,"referenced_works":["https://openalex.org/W136325890","https://openalex.org/W2395579298","https://openalex.org/W2566869048","https://openalex.org/W2585395835","https://openalex.org/W2601260651","https://openalex.org/W2789266794","https://openalex.org/W2823447463","https://openalex.org/W2955689724","https://openalex.org/W3189604664","https://openalex.org/W3203693215","https://openalex.org/W3212370394","https://openalex.org/W4230818708","https://openalex.org/W4231043727","https://openalex.org/W4283765695","https://openalex.org/W4294306682","https://openalex.org/W4298229015","https://openalex.org/W4315630305","https://openalex.org/W4317928006","https://openalex.org/W4319342004","https://openalex.org/W4390187528"],"related_works":["https://openalex.org/W4229448053","https://openalex.org/W4247925126","https://openalex.org/W4327774218","https://openalex.org/W2059768187","https://openalex.org/W4312858960","https://openalex.org/W4386036939","https://openalex.org/W4379143281","https://openalex.org/W2605096541","https://openalex.org/W3200286695","https://openalex.org/W4386322305"],"abstract_inverted_index":{"Unmanned":[0],"Aerial":[1],"Vehicles":[2],"(UAVs)":[3],"have":[4],"been":[5],"used":[6],"for":[7,26,54,133],"surveillance":[8,57],"operations,":[9],"search":[10],"and":[11,14,20,67,80,163,177,185],"rescue":[12],"missions,":[13],"delivery":[15],"services.":[16],"Given":[17],"their":[18,36,140,165],"importance":[19],"versatility,":[21],"they":[22],"naturally":[23],"become":[24],"targets":[25],"cyberattacks.":[27],"Denial-of-Service":[28],"(DoS)":[29],"attacks":[30],"are":[31,85],"commonly":[32],"considered":[33],"to":[34,65,128,150],"exhaust":[35],"resources":[37],"or":[38,136,160],"crash":[39],"UAVs":[40,55],"(or":[41],"drones).":[42],"This":[43],"work":[44],"proposes":[45],"a":[46,95,116,146],"unique":[47,183],"proactive":[48],"defense":[49,149,191],"using":[50,155],"honey":[51],"drones":[52],"(HD)":[53],"during":[56],"operations.":[58],"These":[59],"HDs":[60],"use":[61],"lightweight":[62],"virtual":[63],"machines":[64],"lure":[66],"redirect":[68],"potential":[69],"DoS":[70],"attacks.":[71],"Both":[72],"the":[73,78,81,88,91,113,130,152,182],"choice":[74],"of":[75,90,115,169,188],"target":[76],"by":[77,87],"attacker":[79,135],"HD's":[82],"deceptive":[83],"tactics":[84],"influenced":[86],"strength":[89,142],"radio":[92],"signal.":[93],"However,":[94],"critical":[96],"trade-off":[97],"exists":[98],"in":[99,138],"that":[100,168],"stronger":[101],"signals":[102,109],"can":[103,110],"deplete":[104],"battery":[105],"life,":[106],"while":[107],"weaker":[108],"negatively":[111],"affect":[112],"connectivity":[114],"drone":[117],"fleet":[118],"network.":[119],"To":[120],"address":[121],"this,":[122],"we":[123],"formulate":[124],"an":[125,134],"optimization":[126],"problem":[127],"select":[129],"best":[131],"strategies":[132],"defender":[137],"selecting":[139],"signal":[141],"level.":[143],"We":[144],"propose":[145],"novel":[147],"HD-based":[148,190],"identify":[151],"optimal":[153],"setting":[154],"deep":[156],"reinforcement":[157],"learning":[158],"(DRL)":[159],"game":[161],"theory":[162],"compare":[164],"performance":[166],"with":[167],"non-HD-based":[170],"methods,":[171],"such":[172],"as":[173],"Intrusion":[174],"Detection":[175],"Systems":[176],"ContainerDrone.":[178],"Our":[179],"experiments":[180],"demonstrate":[181],"benefits":[184],"superior":[186],"efficacy":[187],"each":[189],"across":[192],"various":[193],"attack":[194],"scenarios.":[195]},"counts_by_year":[{"year":2024,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}