{"id":"https://openalex.org/W3159402256","doi":"https://doi.org/10.1186/s13638-021-01900-y","title":"IDSDL: a sensitive intrusion detection system based on deep learning","display_name":"IDSDL: a sensitive intrusion detection system based on deep learning","publication_year":2021,"publication_date":"2021-04-16","ids":{"openalex":"https://openalex.org/W3159402256","doi":"https://doi.org/10.1186/s13638-021-01900-y","mag":"3159402256"},"language":"en","primary_location":{"id":"doi:10.1186/s13638-021-01900-y","is_oa":true,"landing_page_url":"https://doi.org/10.1186/s13638-021-01900-y","pdf_url":"https://jwcn-eurasipjournals.springeropen.com/counter/pdf/10.1186/s13638-021-01900-y","source":{"id":"https://openalex.org/S82675988","display_name":"EURASIP Journal on Wireless Communications and Networking","issn_l":"1687-1472","issn":["1687-1472","1687-1499"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319965","host_organization_name":"Springer Nature","host_organization_lineage":["https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"EURASIP Journal on Wireless Communications and Networking","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://jwcn-eurasipjournals.springeropen.com/counter/pdf/10.1186/s13638-021-01900-y","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5101502141","display_name":"Yanjun Hu","orcid":"https://orcid.org/0000-0002-6319-176X"},"institutions":[{"id":"https://openalex.org/I25757504","display_name":"China University of Mining and Technology","ror":"https://ror.org/01xt2dr21","country_code":"CN","type":"education","lineage":["https://openalex.org/I25757504"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yanjun Hu","raw_affiliation_strings":["School of Information and Control Engineering, China University of Mining and Technology, Xuzhou, 221008, China","School of Information and Control Engineering, China University of Mining and Technology, Xuzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Information and Control Engineering, China University of Mining and Technology, Xuzhou, 221008, China","institution_ids":["https://openalex.org/I25757504"]},{"raw_affiliation_string":"School of Information and Control Engineering, China University of Mining and Technology, Xuzhou, China","institution_ids":["https://openalex.org/I25757504"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5000388943","display_name":"Fan Bai","orcid":"https://orcid.org/0000-0002-4732-1616"},"institutions":[{"id":"https://openalex.org/I25757504","display_name":"China University of Mining and Technology","ror":"https://ror.org/01xt2dr21","country_code":"CN","type":"education","lineage":["https://openalex.org/I25757504"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Fan Bai","raw_affiliation_strings":["School of Information and Control Engineering, China University of Mining and Technology, Xuzhou, 221008, China","School of Information and Control Engineering, China University of Mining and Technology, Xuzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Information and Control Engineering, China University of Mining and Technology, Xuzhou, 221008, China","institution_ids":["https://openalex.org/I25757504"]},{"raw_affiliation_string":"School of Information and Control Engineering, China University of Mining and Technology, Xuzhou, China","institution_ids":["https://openalex.org/I25757504"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5035100354","display_name":"Xuemiao Yang","orcid":"https://orcid.org/0000-0002-1845-8066"},"institutions":[{"id":"https://openalex.org/I25757504","display_name":"China University of Mining and Technology","ror":"https://ror.org/01xt2dr21","country_code":"CN","type":"education","lineage":["https://openalex.org/I25757504"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xuemiao Yang","raw_affiliation_strings":["School of Information and Control Engineering, China University of Mining and Technology, Xuzhou, 221008, China","School of Information and Control Engineering, China University of Mining and Technology, Xuzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Information and Control Engineering, China University of Mining and Technology, Xuzhou, 221008, China","institution_ids":["https://openalex.org/I25757504"]},{"raw_affiliation_string":"School of Information and Control Engineering, China University of Mining and Technology, Xuzhou, China","institution_ids":["https://openalex.org/I25757504"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5020753840","display_name":"Ya\u2010Feng Liu","orcid":"https://orcid.org/0000-0002-9684-9150"},"institutions":[{"id":"https://openalex.org/I25757504","display_name":"China University of Mining and Technology","ror":"https://ror.org/01xt2dr21","country_code":"CN","type":"education","lineage":["https://openalex.org/I25757504"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yafeng Liu","raw_affiliation_strings":["IoT Perception Mine Research Center, China University of Mining and Technology, Xuzhou, 221008, China","IoT Perception Mine Research Center, China University of Mining and Technology, Xuzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"IoT Perception Mine Research Center, China University of Mining and Technology, Xuzhou, 221008, China","institution_ids":["https://openalex.org/I25757504"]},{"raw_affiliation_string":"IoT Perception Mine Research Center, China University of Mining and Technology, Xuzhou, China","institution_ids":["https://openalex.org/I25757504"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5020753840"],"corresponding_institution_ids":["https://openalex.org/I25757504"],"apc_list":{"value":1665,"currency":"USD","value_usd":1665},"apc_paid":{"value":1665,"currency":"USD","value_usd":1665},"fwci":0.1606,"has_fulltext":true,"cited_by_count":4,"citation_normalized_percentile":{"value":0.43289203,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":97},"biblio":{"volume":"2021","issue":"1","first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10326","display_name":"Indoor and Outdoor Localization Technologies","score":0.9980000257492065,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10326","display_name":"Indoor and Outdoor Localization Technologies","score":0.9980000257492065,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11192","display_name":"Underwater Vehicles and Communication Systems","score":0.9976000189781189,"subfield":{"id":"https://openalex.org/subfields/2212","display_name":"Ocean Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T12131","display_name":"Wireless Signal Modulation Classification","score":0.9968000054359436,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.9271630048751831},{"id":"https://openalex.org/keywords/intrusion-detection-system","display_name":"Intrusion detection system","score":0.8001654148101807},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.5678151249885559},{"id":"https://openalex.org/keywords/software-deployment","display_name":"Software deployment","score":0.541570782661438},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5199390649795532},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.4701920747756958},{"id":"https://openalex.org/keywords/point","display_name":"Point (geometry)","score":0.45723778009414673},{"id":"https://openalex.org/keywords/signal","display_name":"SIGNAL (programming language)","score":0.4302939176559448},{"id":"https://openalex.org/keywords/intrusion","display_name":"Intrusion","score":0.410473108291626},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.3892449736595154},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3282110095024109},{"id":"https://openalex.org/keywords/operating-system","display_name":"Operating system","score":0.059925973415374756}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.9271630048751831},{"id":"https://openalex.org/C35525427","wikidata":"https://www.wikidata.org/wiki/Q745881","display_name":"Intrusion detection system","level":2,"score":0.8001654148101807},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.5678151249885559},{"id":"https://openalex.org/C105339364","wikidata":"https://www.wikidata.org/wiki/Q2297740","display_name":"Software deployment","level":2,"score":0.541570782661438},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5199390649795532},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.4701920747756958},{"id":"https://openalex.org/C28719098","wikidata":"https://www.wikidata.org/wiki/Q44946","display_name":"Point (geometry)","level":2,"score":0.45723778009414673},{"id":"https://openalex.org/C2779843651","wikidata":"https://www.wikidata.org/wiki/Q7390335","display_name":"SIGNAL (programming language)","level":2,"score":0.4302939176559448},{"id":"https://openalex.org/C158251709","wikidata":"https://www.wikidata.org/wiki/Q354025","display_name":"Intrusion","level":2,"score":0.410473108291626},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.3892449736595154},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3282110095024109},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.059925973415374756},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.0},{"id":"https://openalex.org/C17409809","wikidata":"https://www.wikidata.org/wiki/Q161764","display_name":"Geochemistry","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1186/s13638-021-01900-y","is_oa":true,"landing_page_url":"https://doi.org/10.1186/s13638-021-01900-y","pdf_url":"https://jwcn-eurasipjournals.springeropen.com/counter/pdf/10.1186/s13638-021-01900-y","source":{"id":"https://openalex.org/S82675988","display_name":"EURASIP Journal on Wireless Communications and Networking","issn_l":"1687-1472","issn":["1687-1472","1687-1499"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319965","host_organization_name":"Springer Nature","host_organization_lineage":["https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"EURASIP Journal on Wireless Communications and Networking","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:6477586540ef4459b45c46a6c64dd5d8","is_oa":true,"landing_page_url":"https://doaj.org/article/6477586540ef4459b45c46a6c64dd5d8","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"EURASIP Journal on Wireless Communications and Networking, Vol 2021, Iss 1, Pp 1-20 (2021)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1186/s13638-021-01900-y","is_oa":true,"landing_page_url":"https://doi.org/10.1186/s13638-021-01900-y","pdf_url":"https://jwcn-eurasipjournals.springeropen.com/counter/pdf/10.1186/s13638-021-01900-y","source":{"id":"https://openalex.org/S82675988","display_name":"EURASIP Journal on Wireless Communications and Networking","issn_l":"1687-1472","issn":["1687-1472","1687-1499"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319965","host_organization_name":"Springer Nature","host_organization_lineage":["https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"EURASIP Journal on Wireless Communications and Networking","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3159402256.pdf","grobid_xml":"https://content.openalex.org/works/W3159402256.grobid-xml"},"referenced_works_count":38,"referenced_works":["https://openalex.org/W1930517239","https://openalex.org/W1974095553","https://openalex.org/W2014758824","https://openalex.org/W2027809943","https://openalex.org/W2036673818","https://openalex.org/W2040870580","https://openalex.org/W2054642006","https://openalex.org/W2073828842","https://openalex.org/W2101926813","https://openalex.org/W2109519180","https://openalex.org/W2111986491","https://openalex.org/W2112796928","https://openalex.org/W2122687876","https://openalex.org/W2125431326","https://openalex.org/W2141336889","https://openalex.org/W2147124620","https://openalex.org/W2151034334","https://openalex.org/W2151162785","https://openalex.org/W2154579312","https://openalex.org/W2157291767","https://openalex.org/W2163605009","https://openalex.org/W2164692160","https://openalex.org/W2168821867","https://openalex.org/W2170589361","https://openalex.org/W2196145477","https://openalex.org/W2231830877","https://openalex.org/W2309512289","https://openalex.org/W2484238174","https://openalex.org/W2805809894","https://openalex.org/W2925093776","https://openalex.org/W2974393504","https://openalex.org/W2975461012","https://openalex.org/W2983255219","https://openalex.org/W2989784469","https://openalex.org/W3009934096","https://openalex.org/W3010398415","https://openalex.org/W3136666733","https://openalex.org/W3144686557"],"related_works":["https://openalex.org/W2770234245","https://openalex.org/W4226493464","https://openalex.org/W4312417841","https://openalex.org/W3193565141","https://openalex.org/W3133861977","https://openalex.org/W2951211570","https://openalex.org/W3103566983","https://openalex.org/W3167935049","https://openalex.org/W3029198973","https://openalex.org/W2133389611"],"abstract_inverted_index":{"Abstract":[0],"Device-free":[1],"passive":[2],"(DfP)":[3],"intrusion":[4,46,107],"detection":[5,47,88],"system":[6,9,48],"is":[7,72,97,126],"a":[8,85],"that":[10,124],"can":[11],"detect":[12,106],"moving":[13],"entities":[14],"without":[15,108],"attaching":[16],"any":[17],"device":[18],"to":[19,60,74,99,103,115],"the":[20,26,37,62,101,120],"entities.":[21],"To":[22],"achieve":[23],"good":[24],"performance,":[25],"existing":[27],"algorithms":[28],"require":[29],"proper":[30],"access":[31],"point":[32],"(AP)":[33],"deployment.":[34],"It":[35],"limits":[36],"applying":[38],"scenario":[39],"of":[40,78,94],"those":[41],"algorithms.":[42],"We":[43,112],"propose":[44],"an":[45],"based":[49],"on":[50,81],"deep":[51,95],"learning":[52,96],"(IDSDL)":[53],"with":[54],"finer-grained":[55],"channel":[56],"state":[57],"information":[58],"(CSI)":[59],"free":[61],"AP":[63],"position.":[64],"A":[65],"CSI":[66,79],"phase":[67,80],"propagation":[68],"components":[69,77],"decomposition":[70],"algorithm":[71],"applied":[73],"obtain":[75],"blurred":[76],"several":[82],"paths":[83],"as":[84],"more":[86],"sensitive":[87],"signal.":[89],"Convolutional":[90],"neuron":[91],"network":[92],"(CNN)":[93],"used":[98],"enable":[100],"computer":[102],"learn":[104],"and":[105,119,128],"extracting":[109],"numerical":[110],"features.":[111],"prototype":[113],"IDSDL":[114,125],"verify":[116],"its":[117],"performance":[118],"experimental":[121],"results":[122],"indicate":[123],"effective":[127],"reliable.":[129]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1},{"year":2022,"cited_by_count":2}],"updated_date":"2026-07-23T08:03:31.855105","created_date":"2025-10-10T00:00:00"}