{"id":"https://openalex.org/W2946543151","doi":"https://doi.org/10.1145/3324921.3328788","title":"Jammer Detection based on Artificial Neural Networks","display_name":"Jammer Detection based on Artificial Neural Networks","publication_year":2019,"publication_date":"2019-05-15","ids":{"openalex":"https://openalex.org/W2946543151","doi":"https://doi.org/10.1145/3324921.3328788","mag":"2946543151"},"language":"en","primary_location":{"id":"doi:10.1145/3324921.3328788","doi":"https://doi.org/10.1145/3324921.3328788","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3324921.3328788","pdf_url":null,"source":{"id":"https://openalex.org/S7407104717","display_name":"ACM Workshop on Wireless Security and Machine Learning (WiseML)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the ACM Workshop on Wireless Security and Machine Learning","raw_type":"proceedings-article"},"volume":null,"type":"conference-paper","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/A5030005266","display_name":"Selen Ge\u00e7gel","orcid":"https://orcid.org/0000-0002-4744-4691","observed_orcids":["https://orcid.org/0000-0002-4744-4691"]},"institutions":[{"id":"https://openalex.org/I48912391","display_name":"Istanbul Technical University","ror":"https://ror.org/059636586","country_code":"TR","type":"education","lineage":["https://openalex.org/I48912391"]}],"countries":["TR"],"is_corresponding":false,"raw_author_name":"Selen Gecgel","raw_affiliation_strings":["Istanbul Technical University, Wireless Communication Research Laboratory, Istanbul, Turkey"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Istanbul Technical University, Wireless Communication Research Laboratory, Istanbul, Turkey","institution_ids":["https://openalex.org/I48912391"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5070737400","display_name":"Caner G\u00f6ztepe","orcid":"https://orcid.org/0000-0002-9388-5914","observed_orcids":["https://orcid.org/0000-0002-9388-5914"]},"institutions":[{"id":"https://openalex.org/I48912391","display_name":"Istanbul Technical University","ror":"https://ror.org/059636586","country_code":"TR","type":"education","lineage":["https://openalex.org/I48912391"]}],"countries":["TR"],"is_corresponding":false,"raw_author_name":"Caner Goztepe","raw_affiliation_strings":["Istanbul Technical University, Wireless Communication Research Laboratory, Istanbul, Turkey"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Istanbul Technical University, Wireless Communication Research Laboratory, Istanbul, Turkey","institution_ids":["https://openalex.org/I48912391"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5022600471","display_name":"G\u00fcne\u015f Karabulut Kurt","orcid":"https://orcid.org/0000-0001-7188-2619","observed_orcids":["https://orcid.org/0000-0001-7188-2619"]},"institutions":[{"id":"https://openalex.org/I48912391","display_name":"Istanbul Technical University","ror":"https://ror.org/059636586","country_code":"TR","type":"education","lineage":["https://openalex.org/I48912391"]}],"countries":["TR"],"is_corresponding":false,"raw_author_name":"Gunes Karabulut Kurt","raw_affiliation_strings":["Istanbul Technical University, Wireless Communication Research Laboratory, Istanbul, Turkey"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Istanbul Technical University, Wireless Communication Research Laboratory, Istanbul, Turkey","institution_ids":["https://openalex.org/I48912391"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I48912391"],"apc_list":null,"apc_paid":null,"fwci":2.3911,"has_fulltext":false,"cited_by_count":39,"citation_normalized_percentile":{"value":0.92018692,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"43","last_page":"48"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12131","display_name":"Wireless Signal Modulation Classification","score":0.7778000235557556,"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/T12131","display_name":"Wireless Signal Modulation Classification","score":0.7778000235557556,"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":0.08980000019073486,"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/T10579","display_name":"Cognitive Radio Networks and Spectrum Sensing","score":0.04650000110268593,"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/jammer-detection","display_name":"jammer detection","score":0.8220000267028809},{"id":"https://openalex.org/keywords/jamming-attacks","display_name":"jamming attacks","score":0.8190000057220459},{"id":"https://openalex.org/keywords/wireless-networks","display_name":"wireless networks","score":0.7099999785423279},{"id":"https://openalex.org/keywords/neural-network","display_name":"artificial neural networks","score":0.824999988079071},{"id":"https://openalex.org/keywords/deep-convolutional-neural-networks","display_name":"deep convolutional neural networks","score":0.8830000162124634},{"id":"https://openalex.org/keywords/deep-recurrent-neural-networks","display_name":"deep recurrent neural networks","score":0.9089999794960022},{"id":"https://openalex.org/keywords/software-defined-radio","display_name":"software-defined radio","score":0.7310000061988831},{"id":"https://openalex.org/keywords/ofdm","display_name":"OFDM","score":0.6639999747276306},{"id":"https://openalex.org/keywords/attack-detection","display_name":"attack detection","score":0.4970000088214874}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8112025260925293},{"id":"https://openalex.org/C2779079576","wikidata":"https://www.wikidata.org/wiki/Q17092823","display_name":"Jamming","level":2,"score":0.6852254271507263},{"id":"https://openalex.org/C47798520","wikidata":"https://www.wikidata.org/wiki/Q190157","display_name":"Transmitter","level":3,"score":0.6327182054519653},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.6316043138504028},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.6152361631393433},{"id":"https://openalex.org/C761482","wikidata":"https://www.wikidata.org/wiki/Q118093","display_name":"Transmission (telecommunications)","level":2,"score":0.592411458492279},{"id":"https://openalex.org/C555944384","wikidata":"https://www.wikidata.org/wiki/Q249","display_name":"Wireless","level":2,"score":0.5008149147033691},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.48914268612861633},{"id":"https://openalex.org/C108037233","wikidata":"https://www.wikidata.org/wiki/Q11375","display_name":"Wireless network","level":3,"score":0.47636911273002625},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.43657630681991577},{"id":"https://openalex.org/C171115542","wikidata":"https://www.wikidata.org/wiki/Q1331892","display_name":"Software-defined radio","level":2,"score":0.4319358468055725},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.3278898000717163},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.32103538513183594},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.24622806906700134},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.12159138917922974},{"id":"https://openalex.org/C97355855","wikidata":"https://www.wikidata.org/wiki/Q11473","display_name":"Thermodynamics","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":3,"locations":[{"id":"doi:10.1145/3324921.3328788","doi":"https://doi.org/10.1145/3324921.3328788","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3324921.3328788","pdf_url":null,"source":{"id":"https://openalex.org/S7407104717","display_name":"ACM Workshop on Wireless Security and Machine Learning (WiseML)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the ACM Workshop on Wireless Security and Machine Learning","raw_type":"proceedings-article"},{"id":"pmh:oai:polen.itu.edu.tr:11527/50944","doi":null,"is_oa":false,"landing_page_url":"https://hdl.handle.net/11527/50944","pdf_url":null,"source":{"id":"https://openalex.org/S4306400460","display_name":"Istanbul Technical University Academic Open Archive (Istanbul Technical University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I48912391","host_organization_name":"Istanbul Technical University","host_organization_lineage":["https://openalex.org/I48912391"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Article"},{"id":"pmh:oai:publications.polymtl.ca:47643","doi":null,"is_oa":false,"landing_page_url":"https://publications.polymtl.ca/47643/","pdf_url":null,"source":{"id":"https://openalex.org/S4306401013","display_name":"PolyPublie (\u00c9cole Polytechnique de Montr\u00e9al)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I45683168","host_organization_name":"Polytechnique Montr\u00e9al","host_organization_lineage":["https://openalex.org/I45683168"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Ge\u00e7gel, S., G\u00f6ztepe, C., & Karabulut Kurt, G. (2019, May). Jammer Detection based on Artificial Neural Networks: A Measurement Study [Paper]. ACM Workshop on Wireless Security and Machine Learning (WiseML 2019), Miami, FL, USA.","raw_type":"http://purl.org/coar/resource_type/c_5794"}],"best_oa_location":null,"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":12,"referenced_works":["https://openalex.org/W1964199489","https://openalex.org/W2009621098","https://openalex.org/W2034139177","https://openalex.org/W2064675550","https://openalex.org/W2132694208","https://openalex.org/W2517020940","https://openalex.org/W2756320464","https://openalex.org/W2803807991","https://openalex.org/W2912436841","https://openalex.org/W2964121744","https://openalex.org/W2964277700","https://openalex.org/W3004396924"],"related_works":["https://openalex.org/W7160138172","https://openalex.org/W7125909070","https://openalex.org/W4383754229","https://openalex.org/W4410342443","https://openalex.org/W4403846411","https://openalex.org/W4414539095","https://openalex.org/W2905555929","https://openalex.org/W4382396291","https://openalex.org/W3009923424","https://openalex.org/W2124280970"],"abstract_inverted_index":{"Wireless":[0],"networks":[1,76],"are":[2,71,104,124],"prone":[3],"to":[4,8,39,50],"jamming":[5,20,139],"attacks":[6,21,140],"due":[7],"the":[9,13,27,37,42,53,56,87,90,93,119,130,138],"broadcast":[10],"nature":[11],"of":[12,19,36,55,84,92,101],"wireless":[14],"transmission":[15,43],"environment.":[16],"The":[17,82],"effect":[18],"can":[22,29,133],"be":[23],"further":[24,40],"increased":[25],"as":[26],"jammers":[28],"focus":[30],"their":[31],"signals":[32,35],"on":[33,106],"reference":[34],"transmitters,":[38],"deteriorate":[41],"performance.":[44],"In":[45],"this":[46],"paper,":[47],"we":[48],"aim":[49],"jointly":[51],"determine":[52],"presence":[54,83],"jammer,":[57],"along":[58],"with":[59,141],"its":[60],"attack":[61],"characteristics":[62],"by":[63],"using":[64,110],"neural":[65,68,75,80],"networks.":[66,81],"Two":[67],"network":[69],"architectures":[70],"implemented;":[72],"deep":[73,78],"convolutional":[74],"and":[77,86,89,136],"recurrent":[79],"jammer":[85,94],"transmitter":[88],"type":[91],"is":[95],"determined":[96],"through":[97],"a":[98],"diverse":[99],"set":[100],"scenarios":[102],"that":[103,129],"implemented":[105],"software":[107],"defined":[108],"radios":[109],"orthogonal":[111],"frequency":[112],"division":[113],"multiplexing":[114],"based":[115],"signaling.":[116],"To":[117],"improve":[118],"detection":[120],"performance,":[121],"prepossessing":[122],"techniques":[123],"applied.":[125],"Test":[126],"results":[127],"show":[128],"proposed":[131],"approach":[132],"effectively":[134],"detect":[135],"classify":[137],"around":[142],"85%":[143],"accuracy.":[144]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":5},{"year":2023,"cited_by_count":7},{"year":2022,"cited_by_count":9},{"year":2021,"cited_by_count":5},{"year":2020,"cited_by_count":8},{"year":2019,"cited_by_count":3}],"updated_date":"2026-10-27T15:51:10.671819","created_date":"2019-05-29T00:00:00"}