{"id":"https://openalex.org/W4413320099","doi":"https://doi.org/10.1109/fmec65595.2025.11119388","title":"Harnessing IoT for Real-Time Anomaly Detection in sUAS Security","display_name":"Harnessing IoT for Real-Time Anomaly Detection in sUAS Security","publication_year":2025,"publication_date":"2025-05-19","ids":{"openalex":"https://openalex.org/W4413320099","doi":"https://doi.org/10.1109/fmec65595.2025.11119388"},"language":"en","primary_location":{"id":"doi:10.1109/fmec65595.2025.11119388","is_oa":false,"landing_page_url":"https://doi.org/10.1109/fmec65595.2025.11119388","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 10th International Conference on Fog and Mobile Edge Computing (FMEC)","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/A5008960995","display_name":"Amar Rasheed","orcid":"https://orcid.org/0000-0002-1929-9124"},"institutions":[{"id":"https://openalex.org/I191429286","display_name":"Sam Houston State University","ror":"https://ror.org/00yh3cz06","country_code":"US","type":"education","lineage":["https://openalex.org/I191429286"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Amar Rasheed","raw_affiliation_strings":["Sam Houston State University,Department of Computer Science,Texas,USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Sam Houston State University,Department of Computer Science,Texas,USA","institution_ids":["https://openalex.org/I191429286"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5013606349","display_name":"Mohamed Baza","orcid":"https://orcid.org/0000-0001-5153-8693"},"institutions":[{"id":"https://openalex.org/I204593131","display_name":"College of Charleston","ror":"https://ror.org/00390t168","country_code":"US","type":"education","lineage":["https://openalex.org/I204593131"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Mohamed Baza","raw_affiliation_strings":["College of Charleston,Department of Computer Science,South Carolina,USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Charleston,Department of Computer Science,South Carolina,USA","institution_ids":["https://openalex.org/I204593131"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5041541232","display_name":"Gautam Srivastava","orcid":"https://orcid.org/0000-0001-9851-4103"},"institutions":[{"id":"https://openalex.org/I48890080","display_name":"Brandon University","ror":"https://ror.org/02qp25a50","country_code":"CA","type":"education","lineage":["https://openalex.org/I48890080"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Gautam Srivastava","raw_affiliation_strings":["Brandon University,Department of Mathematics and Computer Science,Brandon,Canada"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Brandon University,Department of Mathematics and Computer Science,Brandon,Canada","institution_ids":["https://openalex.org/I48890080"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5021367769","display_name":"Sherif Abdelfattah","orcid":"https://orcid.org/0000-0001-5021-3950"},"institutions":[{"id":"https://openalex.org/I24648388","display_name":"Bradley University","ror":"https://ror.org/04kmeaw70","country_code":"US","type":"education","lineage":["https://openalex.org/I24648388"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Sherif Abdelfattah","raw_affiliation_strings":["Bradley University,Department of Computer Science and Information Systems,IL,USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Bradley University,Department of Computer Science and Information Systems,IL,USA","institution_ids":["https://openalex.org/I24648388"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.20986218,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"256","last_page":"259"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10400","display_name":"Network Security and Intrusion Detection","score":0.9970999956130981,"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":0.9970999956130981,"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/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9848999977111816,"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/T10917","display_name":"Smart Grid Security and Resilience","score":0.9629999995231628,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/anomaly-detection","display_name":"Anomaly detection","score":0.7486425638198853},{"id":"https://openalex.org/keywords/internet-of-things","display_name":"Internet of Things","score":0.7256789803504944},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6651108860969543},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.4392309784889221},{"id":"https://openalex.org/keywords/anomaly","display_name":"Anomaly (physics)","score":0.41418784856796265},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.17988720536231995}],"concepts":[{"id":"https://openalex.org/C739882","wikidata":"https://www.wikidata.org/wiki/Q3560506","display_name":"Anomaly detection","level":2,"score":0.7486425638198853},{"id":"https://openalex.org/C81860439","wikidata":"https://www.wikidata.org/wiki/Q251212","display_name":"Internet of Things","level":2,"score":0.7256789803504944},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6651108860969543},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.4392309784889221},{"id":"https://openalex.org/C12997251","wikidata":"https://www.wikidata.org/wiki/Q567560","display_name":"Anomaly (physics)","level":2,"score":0.41418784856796265},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.17988720536231995},{"id":"https://openalex.org/C26873012","wikidata":"https://www.wikidata.org/wiki/Q214781","display_name":"Condensed matter physics","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/fmec65595.2025.11119388","is_oa":false,"landing_page_url":"https://doi.org/10.1109/fmec65595.2025.11119388","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 10th International Conference on Fog and Mobile Edge Computing (FMEC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.5199999809265137,"id":"https://metadata.un.org/sdg/13","display_name":"Climate action"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":5,"referenced_works":["https://openalex.org/W2255466643","https://openalex.org/W2979779535","https://openalex.org/W3043349850","https://openalex.org/W4401749422","https://openalex.org/W4404527791"],"related_works":["https://openalex.org/W2806741695","https://openalex.org/W4290647774","https://openalex.org/W3189286258","https://openalex.org/W3207797160","https://openalex.org/W3210364259","https://openalex.org/W4300558037","https://openalex.org/W2667207928","https://openalex.org/W2912112202","https://openalex.org/W4377864969","https://openalex.org/W3120251014"],"abstract_inverted_index":{"The":[0,118],"rapid":[1],"proliferation":[2],"of":[3,109],"Small":[4],"Unmanned":[5],"Aircraft":[6],"Systems":[7,39],"(sUAS)":[8],"and":[9,83,137],"RFID":[10],"technologies":[11],"introduces":[12],"new":[13],"threats":[14],"to":[15,32,44,76,112],"national":[16],"security.":[17],"While":[18],"sUAS":[19],"revolutionizes":[20],"business":[21],"operations,":[22],"it":[23],"also":[24],"becomes":[25],"a":[26,66,96],"tool":[27],"for":[28,59,86],"malicious":[29],"actors":[30],"due":[31],"its":[33],"wireless":[34],"vulnerabilities.":[35],"Many":[36],"Intrusion":[37],"Detection":[38],"(IDS)":[40],"have":[41],"been":[42],"proposed":[43],"address":[45],"this,":[46],"but":[47],"they":[48],"often":[49],"require":[50],"offline":[51],"training":[52,82,99,138],"with":[53,103,133,141],"heavy":[54],"processing,":[55],"making":[56],"them":[57],"unsuitable":[58],"dynamic":[60],"mission":[61],"changes.":[62],"This":[63],"paper":[64],"presents":[65],"novel":[67],"framework":[68],"that":[69],"leverages":[70],"IoT":[71,110,124],"infrastructure":[72],"(e.g.,":[73],"smart":[74],"cities)":[75],"support":[77],"rapid,":[78],"in-field":[79],"adaptive":[80],"model":[81,115,119],"parameter":[84,116],"estimation":[85],"IDS-equipped":[87],"sUAS.":[88],"To":[89],"handle":[90],"the":[91],"computational":[92],"demands,":[93],"we":[94],"propose":[95],"cluster-oriented,":[97],"distributed":[98],"algorithm":[100],"using":[101],"LSTM":[102],"mini-batch":[104],"gradient":[105],"descent,":[106],"allowing":[107],"hundreds":[108],"devices":[111],"collaboratively":[113],"perform":[114],"estimations.":[117],"was":[120],"implemented":[121],"on":[122],"an":[123],"platform":[125],"(NXP-Kinetis":[126],"K64-120":[127],"MHz),":[128],"achieving":[129],"high":[130],"prediction":[131],"accuracy":[132],"minimal":[134],"power":[135],"consumption":[136],"time,":[139],"even":[140],"contaminated":[142],"datasets.":[143]},"counts_by_year":[],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
