{"id":"https://openalex.org/W4402009474","doi":"https://doi.org/10.2991/978-94-6463-496-9_22","title":"Supervised Machine Learning For Detecting Drop Attack in UAV Ad-hoc Network","display_name":"Supervised Machine Learning For Detecting Drop Attack in UAV Ad-hoc Network","publication_year":2024,"publication_date":"2024-01-01","ids":{"openalex":"https://openalex.org/W4402009474","doi":"https://doi.org/10.2991/978-94-6463-496-9_22"},"language":"en","primary_location":{"id":"doi:10.2991/978-94-6463-496-9_22","doi":"https://doi.org/10.2991/978-94-6463-496-9_22","is_oa":true,"landing_page_url":"https://doi.org/10.2991/978-94-6463-496-9_22","pdf_url":"https://www.atlantis-press.com/article/126002699.pdf","source":{"id":"https://openalex.org/S4220651947","display_name":"Advances in intelligent systems research/Advances in Intelligent Systems Research","issn_l":"1951-6851","issn":["1951-6851","2731-7870"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["cwts-core","norway-1"],"host_organization":"https://openalex.org/P4310315540","host_organization_name":"Atlantis Press","host_organization_lineage":["https://openalex.org/P4310315540"],"host_organization_lineage_names":["Atlantis Press"],"type":"book series"},"license":"cc-by-nc","license_id":"https://openalex.org/licenses/cc-by-nc","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Advances in Intelligent Systems Research","raw_type":"book-chapter"},"volume":{"id":"https://openalex.org/W4402009566","display_name":"Proceedings of the International Conference on Emerging Intelligent Systems for Sustainable Development (ICEIS 2024)"},"type":"book-chapter","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://www.atlantis-press.com/article/126002699.pdf","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5106835440","display_name":"Said Neciri","orcid":"https://orcid.org/0009-0007-8375-4957","observed_orcids":["https://orcid.org/0009-0007-8375-4957"]},"institutions":[{"id":"https://openalex.org/I50219554","display_name":"Amar Telidji University of Laghouat","ror":"https://ror.org/018bbh535","country_code":"DZ","type":"education","lineage":["https://openalex.org/I50219554"]}],"countries":["DZ"],"is_corresponding":false,"raw_author_name":"Said Neciri","raw_affiliation_strings":["Computer Science and Mathematics Laboratory (LIM) , Laghouat University , Laghouat , Algeria"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Computer Science and Mathematics Laboratory (LIM) , Laghouat University , Laghouat , Algeria","institution_ids":["https://openalex.org/I50219554"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5033820669","display_name":"Noureddine Chaib","orcid":"https://orcid.org/0000-0002-2330-028X","observed_orcids":["https://orcid.org/0000-0002-2330-028X"]},"institutions":[{"id":"https://openalex.org/I50219554","display_name":"Amar Telidji University of Laghouat","ror":"https://ror.org/018bbh535","country_code":"DZ","type":"education","lineage":["https://openalex.org/I50219554"]}],"countries":["DZ"],"is_corresponding":true,"raw_author_name":"Noureddine Chaib","raw_affiliation_strings":["Amar Telidji University , Laghouat 03000 , Algeria"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Amar Telidji University , Laghouat 03000 , Algeria","institution_ids":["https://openalex.org/I50219554"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5018935652","display_name":"Chabane Djeddi","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I4387154306","display_name":"National School of Artificial Intelligence","ror":"https://ror.org/02pe71j59","country_code":"DZ","type":"education","lineage":["https://openalex.org/I4387154306"]}],"countries":["DZ"],"is_corresponding":false,"raw_author_name":"Chabane Djeddi","raw_affiliation_strings":["National school of artificial intelligence , Algeria"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National school of artificial intelligence , Algeria","institution_ids":["https://openalex.org/I4387154306"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5033820669"],"corresponding_institution_ids":["https://openalex.org/I50219554"],"apc_list":null,"apc_paid":null,"fwci":1.1168,"has_fulltext":true,"cited_by_count":1,"citation_normalized_percentile":{"value":0.83827127,"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":"286","last_page":"297"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10400","display_name":"Network Security and Intrusion Detection","score":0.305400013923645,"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":0.305400013923645,"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/T10246","display_name":"Mobile Ad Hoc Networks","score":0.28130000829696655,"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/T11498","display_name":"Security in Wireless Sensor Networks","score":0.2134000062942505,"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/drop-attacks","display_name":"drop attacks","score":0.6380000114440918},{"id":"https://openalex.org/keywords/uav-ad-hoc-networks","display_name":"UAV ad hoc networks","score":0.8980000019073486},{"id":"https://openalex.org/keywords/uav-networks","display_name":"UAV networks","score":0.40799999237060547},{"id":"https://openalex.org/keywords/intrusion-detection","display_name":"intrusion detection","score":0.722000002861023},{"id":"https://openalex.org/keywords/supervised-learning","display_name":"supervised learning","score":0.7739999890327454},{"id":"https://openalex.org/keywords/network-security","display_name":"network security","score":0.5120000243186951}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5374373197555542},{"id":"https://openalex.org/C2781345722","wikidata":"https://www.wikidata.org/wiki/Q5308388","display_name":"Drop (telecommunication)","level":2,"score":0.5149887204170227},{"id":"https://openalex.org/C2984949393","wikidata":"https://www.wikidata.org/wiki/Q1260241","display_name":"Drop out","level":2,"score":0.46791794896125793},{"id":"https://openalex.org/C94523657","wikidata":"https://www.wikidata.org/wiki/Q4085781","display_name":"Wireless ad hoc network","level":3,"score":0.4467759132385254},{"id":"https://openalex.org/C2992886853","wikidata":"https://www.wikidata.org/wiki/Q18381816","display_name":"Post hoc","level":2,"score":0.4170224666595459},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.41221657395362854},{"id":"https://openalex.org/C91280400","wikidata":"https://www.wikidata.org/wiki/Q4085781","display_name":"Mobile ad hoc network","level":3,"score":0.4120277762413025},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3337421417236328},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.19586089253425598},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0812431275844574},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.07745885848999023},{"id":"https://openalex.org/C555944384","wikidata":"https://www.wikidata.org/wiki/Q249","display_name":"Wireless","level":2,"score":0.04418301582336426},{"id":"https://openalex.org/C199343813","wikidata":"https://www.wikidata.org/wiki/Q12128","display_name":"Dentistry","level":1,"score":0.0},{"id":"https://openalex.org/C4249254","wikidata":"https://www.wikidata.org/wiki/Q3044431","display_name":"Demographic economics","level":1,"score":0.0},{"id":"https://openalex.org/C158379750","wikidata":"https://www.wikidata.org/wiki/Q214111","display_name":"Network packet","level":2,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.2991/978-94-6463-496-9_22","doi":"https://doi.org/10.2991/978-94-6463-496-9_22","is_oa":true,"landing_page_url":"https://doi.org/10.2991/978-94-6463-496-9_22","pdf_url":"https://www.atlantis-press.com/article/126002699.pdf","source":{"id":"https://openalex.org/S4220651947","display_name":"Advances in intelligent systems research/Advances in Intelligent Systems Research","issn_l":"1951-6851","issn":["1951-6851","2731-7870"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["cwts-core","norway-1"],"host_organization":"https://openalex.org/P4310315540","host_organization_name":"Atlantis Press","host_organization_lineage":["https://openalex.org/P4310315540"],"host_organization_lineage_names":["Atlantis Press"],"type":"book series"},"license":"cc-by-nc","license_id":"https://openalex.org/licenses/cc-by-nc","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Advances in Intelligent Systems Research","raw_type":"book-chapter"}],"best_oa_location":{"id":"doi:10.2991/978-94-6463-496-9_22","doi":"https://doi.org/10.2991/978-94-6463-496-9_22","is_oa":true,"landing_page_url":"https://doi.org/10.2991/978-94-6463-496-9_22","pdf_url":"https://www.atlantis-press.com/article/126002699.pdf","source":{"id":"https://openalex.org/S4220651947","display_name":"Advances in intelligent systems research/Advances in Intelligent Systems Research","issn_l":"1951-6851","issn":["1951-6851","2731-7870"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["cwts-core","norway-1"],"host_organization":"https://openalex.org/P4310315540","host_organization_name":"Atlantis Press","host_organization_lineage":["https://openalex.org/P4310315540"],"host_organization_lineage_names":["Atlantis Press"],"type":"book series"},"license":"cc-by-nc","license_id":"https://openalex.org/licenses/cc-by-nc","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Advances in Intelligent Systems Research","raw_type":"book-chapter"},"sustainable_development_goals":[{"display_name":"Industry, innovation and infrastructure","score":0.6773999929428101,"id":"https://metadata.un.org/sdg/9"}],"study_designs":[],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4402009474.pdf","grobid_xml":"https://content.openalex.org/works/W4402009474.grobid-xml"},"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W2924739532","https://openalex.org/W7206151375","https://openalex.org/W7136402392","https://openalex.org/W7159597674","https://openalex.org/W7170703722","https://openalex.org/W6941102994","https://openalex.org/W7167577837","https://openalex.org/W7168383883","https://openalex.org/W7206202172","https://openalex.org/W2927478041"],"abstract_inverted_index":{"UAV":[0],"Ad":[1],"hoc":[2],"Networks":[3],"(UANETs)":[4],"play":[5],"a":[6,27,108,120],"critical":[7],"role":[8],"in":[9,141,163],"applications":[10],"that":[11,124],"necessitate":[12],"secure":[13],"and":[14,20,32,79,89,146],"resilient":[15],"communication,":[16],"including":[17],"data":[18],"collection":[19],"surveillance.UANETs":[21],"encounter":[22],"substantial":[23],"security":[24],"challenges":[25],"as":[26,137,139],"result":[28],"of":[29,49,68,72,98,105,131,151,157,166,175],"their":[30,113],"decentralized":[31],"dynamic":[33],"characteristics.One":[34],"such":[35],"challenge":[36],"is":[37,65,83],"the":[38,47,66,103,155,164],"potential":[39],"for":[40],"malicious":[41,90],"nodes":[42,91,106],"to":[43,61,85,101],"disrupt":[44],"operations":[45],"through":[46],"discarding":[48],"packets.The":[50],"Drop":[51],"Attack":[52],"Detection":[53],"Algorithm":[54],"(DADA-UANET),":[55],"which":[56],"utilises":[57],"supervised":[58],"machine":[59],"learning":[60],"improve":[62],"network":[63],"security,":[64],"subject":[67],"this":[69],"research.A":[70],"combination":[71],"Logistic":[73],"Regression":[74],"(LR),":[75],"Decision":[76],"Tree":[77],"(DT),":[78],"K-Nearest":[80],"Neighbours":[81],"(KNN)":[82],"utilised":[84],"differentiate":[86],"between":[87],"normal":[88],"efficiently.Our":[92],"methodology":[93],"incorporates":[94],"an":[95,128],"original":[96],"implementation":[97],"linear":[99],"regression":[100],"evaluate":[102],"credibility":[104],"on":[107],"periodic":[109],"basis":[110],"by":[111,136],"analysing":[112],"past":[114],"actions.The":[115],"experimental":[116],"findings":[117],"derived":[118],"from":[119],"comparative":[121],"analysis":[122],"demonstrate":[123],"our":[125],"approach":[126],"attains":[127],"enhanced":[129],"level":[130],"performance,":[132],"surpassing":[133],"established":[134],"methodologies":[135],"much":[138],"92%":[140],"classification":[142],"accuracy":[143],"when":[144],"LR":[145],"KNN":[147],"are":[148],"employed.The":[149],"integration":[150],"DADA-UANET":[152],"substantially":[153],"enhances":[154],"robustness":[156],"unmanned":[158],"aerial":[159],"vehicle":[160],"(UAV)":[161],"communication":[162],"face":[165],"advanced":[167],"cyber":[168],"threats,":[169],"thereby":[170],"guaranteeing":[171],"more":[172],"dependable":[173],"functioning":[174],"vital":[176],"applications.":[177]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2026-10-29T09:56:32.521200","created_date":"2024-08-30T00:00:00"}
