{"id":"https://openalex.org/W3208482377","doi":"https://doi.org/10.1109/icspcc52875.2021.9564996","title":"Abnormal Data Detection of Unmanned Aerial Vehicles Based on Double Shortcuts ZB-ResNet","display_name":"Abnormal Data Detection of Unmanned Aerial Vehicles Based on Double Shortcuts ZB-ResNet","publication_year":2021,"publication_date":"2021-08-17","ids":{"openalex":"https://openalex.org/W3208482377","doi":"https://doi.org/10.1109/icspcc52875.2021.9564996","mag":"3208482377"},"language":"en","primary_location":{"id":"doi:10.1109/icspcc52875.2021.9564996","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icspcc52875.2021.9564996","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 IEEE International Conference on Signal Processing, Communications and Computing (ICSPCC)","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/A5005336365","display_name":"Zhuolin Wang","orcid":"https://orcid.org/0000-0003-2252-473X"},"institutions":[{"id":"https://openalex.org/I110440473","display_name":"Xi'an University of Science and Technology","ror":"https://ror.org/046fkpt18","country_code":"CN","type":"education","lineage":["https://openalex.org/I110440473"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Zhuolin Wang","raw_affiliation_strings":["Xi'an University of Science and Technology, Xi'an, China"],"affiliations":[{"raw_affiliation_string":"Xi'an University of Science and Technology, Xi'an, China","institution_ids":["https://openalex.org/I110440473"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5059744438","display_name":"Zhenhua Yu","orcid":"https://orcid.org/0000-0002-7204-3654"},"institutions":[{"id":"https://openalex.org/I110440473","display_name":"Xi'an University of Science and Technology","ror":"https://ror.org/046fkpt18","country_code":"CN","type":"education","lineage":["https://openalex.org/I110440473"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhenhua Yu","raw_affiliation_strings":["Xi'an University of Science and Technology, Xi'an, China"],"affiliations":[{"raw_affiliation_string":"Xi'an University of Science and Technology, Xi'an, China","institution_ids":["https://openalex.org/I110440473"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100765920","display_name":"Yongxin Liu","orcid":"https://orcid.org/0000-0003-4527-8623"},"institutions":[{"id":"https://openalex.org/I84475105","display_name":"Embry\u2013Riddle Aeronautical University","ror":"https://ror.org/010jskt71","country_code":"US","type":"education","lineage":["https://openalex.org/I84475105"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yongxin Liu","raw_affiliation_strings":["Embry-Riddle Aeronautical University, Florida, USA"],"affiliations":[{"raw_affiliation_string":"Embry-Riddle Aeronautical University, Florida, USA","institution_ids":["https://openalex.org/I84475105"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5079301418","display_name":"Houbing Song","orcid":"https://orcid.org/0000-0003-2631-9223"},"institutions":[{"id":"https://openalex.org/I84475105","display_name":"Embry\u2013Riddle Aeronautical University","ror":"https://ror.org/010jskt71","country_code":"US","type":"education","lineage":["https://openalex.org/I84475105"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Houbing Song","raw_affiliation_strings":["Embry-Riddle Aeronautical University, Florida, USA"],"affiliations":[{"raw_affiliation_string":"Embry-Riddle Aeronautical University, Florida, USA","institution_ids":["https://openalex.org/I84475105"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5005336365"],"corresponding_institution_ids":["https://openalex.org/I110440473"],"apc_list":null,"apc_paid":null,"fwci":0.4079,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.69382421,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":96,"max":97},"biblio":{"volume":"36","issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11512","display_name":"Anomaly Detection Techniques and Applications","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/T11512","display_name":"Anomaly Detection Techniques and Applications","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/T11689","display_name":"Adversarial Robustness in Machine Learning","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/T10400","display_name":"Network Security and Intrusion Detection","score":0.9926999807357788,"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/spoofing-attack","display_name":"Spoofing attack","score":0.7513288259506226},{"id":"https://openalex.org/keywords/residual","display_name":"Residual","score":0.7245243191719055},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6903110146522522},{"id":"https://openalex.org/keywords/drone","display_name":"Drone","score":0.6586625576019287},{"id":"https://openalex.org/keywords/flexibility","display_name":"Flexibility (engineering)","score":0.5329101085662842},{"id":"https://openalex.org/keywords/anomaly-detection","display_name":"Anomaly detection","score":0.49787402153015137},{"id":"https://openalex.org/keywords/residual-neural-network","display_name":"Residual neural network","score":0.4644280672073364},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.44033998250961304},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.43358561396598816},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3321739435195923},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.29531562328338623},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.14517509937286377}],"concepts":[{"id":"https://openalex.org/C167900197","wikidata":"https://www.wikidata.org/wiki/Q11081100","display_name":"Spoofing attack","level":2,"score":0.7513288259506226},{"id":"https://openalex.org/C155512373","wikidata":"https://www.wikidata.org/wiki/Q287450","display_name":"Residual","level":2,"score":0.7245243191719055},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6903110146522522},{"id":"https://openalex.org/C59519942","wikidata":"https://www.wikidata.org/wiki/Q650665","display_name":"Drone","level":2,"score":0.6586625576019287},{"id":"https://openalex.org/C2780598303","wikidata":"https://www.wikidata.org/wiki/Q65921492","display_name":"Flexibility (engineering)","level":2,"score":0.5329101085662842},{"id":"https://openalex.org/C739882","wikidata":"https://www.wikidata.org/wiki/Q3560506","display_name":"Anomaly detection","level":2,"score":0.49787402153015137},{"id":"https://openalex.org/C2944601119","wikidata":"https://www.wikidata.org/wiki/Q43744058","display_name":"Residual neural network","level":3,"score":0.4644280672073364},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.44033998250961304},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.43358561396598816},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3321739435195923},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.29531562328338623},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.14517509937286377},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","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/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icspcc52875.2021.9564996","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icspcc52875.2021.9564996","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 IEEE International Conference on Signal Processing, Communications and Computing (ICSPCC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1199273081","display_name":null,"funder_award_id":"2019GY-056","funder_id":"https://openalex.org/F4320336350","funder_display_name":"Key Research and Development Projects of Shaanxi Province"},{"id":"https://openalex.org/G5673928204","display_name":null,"funder_award_id":"2020M673446","funder_id":"https://openalex.org/F4320321543","funder_display_name":"China Postdoctoral Science Foundation"}],"funders":[{"id":"https://openalex.org/F4320321543","display_name":"China Postdoctoral Science Foundation","ror":"https://ror.org/0426zh255"},{"id":"https://openalex.org/F4320336350","display_name":"Key Research and Development Projects of Shaanxi Province","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":36,"referenced_works":["https://openalex.org/W1533861849","https://openalex.org/W1608603316","https://openalex.org/W1788497923","https://openalex.org/W1854377484","https://openalex.org/W1965606617","https://openalex.org/W2029171489","https://openalex.org/W2035468110","https://openalex.org/W2037470110","https://openalex.org/W2058235629","https://openalex.org/W2104657103","https://openalex.org/W2106278407","https://openalex.org/W2120480077","https://openalex.org/W2122646361","https://openalex.org/W2144182447","https://openalex.org/W2194775991","https://openalex.org/W2460968707","https://openalex.org/W2533169386","https://openalex.org/W2601260651","https://openalex.org/W2738388801","https://openalex.org/W2772709170","https://openalex.org/W2788510681","https://openalex.org/W2798602336","https://openalex.org/W2874953367","https://openalex.org/W2893988961","https://openalex.org/W2901578417","https://openalex.org/W2905432470","https://openalex.org/W2958312688","https://openalex.org/W3010867338","https://openalex.org/W3080499510","https://openalex.org/W3085604187","https://openalex.org/W3103998378","https://openalex.org/W4254182148","https://openalex.org/W6631943919","https://openalex.org/W6638739460","https://openalex.org/W6678242812","https://openalex.org/W6783156543"],"related_works":["https://openalex.org/W2973451922","https://openalex.org/W3003273155","https://openalex.org/W4220818162","https://openalex.org/W3036934147","https://openalex.org/W3087144180","https://openalex.org/W3207322857","https://openalex.org/W4285195761","https://openalex.org/W3089733734","https://openalex.org/W3006590732","https://openalex.org/W3208482377"],"abstract_inverted_index":{"Unmanned":[0],"aerial":[1],"vehicles":[2],"(UAVs)":[3],"are":[4,28],"unmanned":[5],"aircrafts":[6],"operated":[7],"by":[8,116,157],"radio":[9],"remote":[10],"control":[11,14],"and":[12,23,33,43,76,103,122],"programmed":[13],"equipment.":[15],"Due":[16],"to":[17,74,128],"their":[18],"small":[19,100],"size,":[20],"low":[21,104],"cost,":[22],"high":[24],"flexibility,":[25],"UAV":[26,67],"s":[27],"widely":[29],"used":[30],"in":[31,72],"military":[32],"civilian":[34],"fields.":[35],"Along":[36],"with":[37,99,133,143],"the":[38,44,77,90,134,138,146,150],"broad":[39],"applications":[40],"of":[41,47,79,111,137,149],"UAVs":[42],"significant":[45],"advancement":[46],"information":[48],"technologies,":[49],"they":[50],"also":[51],"face":[52],"cyber":[53],"threats.":[54],"Among":[55],"them,":[56],"false":[57],"spoofing":[58],"is":[59,114,155],"a":[60],"typical":[61],"cyber-attack.":[62],"If":[63],"this":[64,86],"attack":[65],"hits":[66],"s,":[68],"it":[69],"could":[70],"result":[71],"damage":[73],"property":[75],"release":[78],"private":[80],"data":[81,109],"or":[82],"classified":[83],"documents.":[84],"In":[85],"paper,":[87],"we":[88],"propose":[89],"Double":[91,151],"Shortcuts":[92,97,152],"Zero-Bias":[93,123],"Residual":[94],"Network":[95],"(Double":[96],"ZB-ResNet)":[98],"storage":[101],"capacity":[102],"time":[105],"complexity":[106],"for":[107],"abnormal":[108],"detection":[110,147],"UAVs.":[112],"It":[113],"designed":[115],"combining":[117],"double":[118],"shortcuts":[119],"residual":[120],"blocks":[121],"(ZB)":[124],"fully":[125],"connected":[126],"layer":[127],"anomaly":[129],"detections.":[130],"By":[131],"comparing":[132],"experimental":[135],"results":[136],"improved":[139,156],"Convolutional":[140],"Neural":[141],"Networks":[142],"ZB":[144],"layer,":[145],"accuracy":[148],"ZB-ResNet":[153],"model":[154],"nearly":[158],"two":[159],"percentage":[160],"points.":[161]},"counts_by_year":[{"year":2022,"cited_by_count":3}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}