{"id":"https://openalex.org/W4387244099","doi":"https://doi.org/10.1186/s42400-023-00161-0","title":"Intrusion detection systems for wireless sensor networks using computational intelligence techniques","display_name":"Intrusion detection systems for wireless sensor networks using computational intelligence techniques","publication_year":2023,"publication_date":"2023-10-03","ids":{"openalex":"https://openalex.org/W4387244099","doi":"https://doi.org/10.1186/s42400-023-00161-0"},"language":"en","primary_location":{"id":"doi:10.1186/s42400-023-00161-0","is_oa":true,"landing_page_url":"https://doi.org/10.1186/s42400-023-00161-0","pdf_url":"https://cybersecurity.springeropen.com/counter/pdf/10.1186/s42400-023-00161-0","source":{"id":"https://openalex.org/S3035238565","display_name":"Cybersecurity","issn_l":"2523-3246","issn":["2523-3246"],"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":"Cybersecurity","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"diamond","oa_url":"https://cybersecurity.springeropen.com/counter/pdf/10.1186/s42400-023-00161-0","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5005374742","display_name":"Vaishnavi Sivagaminathan","orcid":"https://orcid.org/0000-0002-5084-7555"},"institutions":[{"id":"https://openalex.org/I110360157","display_name":"Lovely Professional University","ror":"https://ror.org/00et6q107","country_code":"IN","type":"education","lineage":["https://openalex.org/I110360157"]}],"countries":["IN"],"is_corresponding":true,"raw_author_name":"Vaishnavi Sivagaminathan","raw_affiliation_strings":["Lovely Professional University, Phagwara, India"],"affiliations":[{"raw_affiliation_string":"Lovely Professional University, Phagwara, India","institution_ids":["https://openalex.org/I110360157"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5045470776","display_name":"Manmohan Sharma","orcid":"https://orcid.org/0000-0001-9445-5898"},"institutions":[{"id":"https://openalex.org/I110360157","display_name":"Lovely Professional University","ror":"https://ror.org/00et6q107","country_code":"IN","type":"education","lineage":["https://openalex.org/I110360157"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Manmohan Sharma","raw_affiliation_strings":["Lovely Professional University, Phagwara, India"],"affiliations":[{"raw_affiliation_string":"Lovely Professional University, Phagwara, India","institution_ids":["https://openalex.org/I110360157"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5019475979","display_name":"Santosh Kumar Henge","orcid":"https://orcid.org/0000-0003-1884-9945"},"institutions":[{"id":"https://openalex.org/I110360157","display_name":"Lovely Professional University","ror":"https://ror.org/00et6q107","country_code":"IN","type":"education","lineage":["https://openalex.org/I110360157"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Santosh Kumar Henge","raw_affiliation_strings":["Lovely Professional University, Phagwara, India"],"affiliations":[{"raw_affiliation_string":"Lovely Professional University, Phagwara, India","institution_ids":["https://openalex.org/I110360157"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5005374742"],"corresponding_institution_ids":["https://openalex.org/I110360157"],"apc_list":null,"apc_paid":null,"fwci":5.1389,"has_fulltext":true,"cited_by_count":26,"citation_normalized_percentile":{"value":0.95887228,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":100},"biblio":{"volume":"6","issue":"1","first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10400","display_name":"Network Security and Intrusion Detection","score":1.0,"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":1.0,"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":0.9972000122070312,"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/T11598","display_name":"Internet Traffic Analysis and Secure E-voting","score":0.9854999780654907,"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":0.81568443775177},{"id":"https://openalex.org/keywords/feature-selection","display_name":"Feature selection","score":0.6271677017211914},{"id":"https://openalex.org/keywords/intrusion-detection-system","display_name":"Intrusion detection system","score":0.5967289805412292},{"id":"https://openalex.org/keywords/network-packet","display_name":"Network packet","score":0.5673676133155823},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.5422523617744446},{"id":"https://openalex.org/keywords/anomaly-detection","display_name":"Anomaly detection","score":0.4725194573402405},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.46817368268966675},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.36364755034446716},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.33371609449386597},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3335740268230438}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.81568443775177},{"id":"https://openalex.org/C148483581","wikidata":"https://www.wikidata.org/wiki/Q446488","display_name":"Feature selection","level":2,"score":0.6271677017211914},{"id":"https://openalex.org/C35525427","wikidata":"https://www.wikidata.org/wiki/Q745881","display_name":"Intrusion detection system","level":2,"score":0.5967289805412292},{"id":"https://openalex.org/C158379750","wikidata":"https://www.wikidata.org/wiki/Q214111","display_name":"Network packet","level":2,"score":0.5673676133155823},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5422523617744446},{"id":"https://openalex.org/C739882","wikidata":"https://www.wikidata.org/wiki/Q3560506","display_name":"Anomaly detection","level":2,"score":0.4725194573402405},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.46817368268966675},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.36364755034446716},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.33371609449386597},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3335740268230438},{"id":"https://openalex.org/C59822182","wikidata":"https://www.wikidata.org/wiki/Q441","display_name":"Botany","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":2,"locations":[{"id":"doi:10.1186/s42400-023-00161-0","is_oa":true,"landing_page_url":"https://doi.org/10.1186/s42400-023-00161-0","pdf_url":"https://cybersecurity.springeropen.com/counter/pdf/10.1186/s42400-023-00161-0","source":{"id":"https://openalex.org/S3035238565","display_name":"Cybersecurity","issn_l":"2523-3246","issn":["2523-3246"],"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":"Cybersecurity","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:37a04206276b4934b427ce63cea6b7a4","is_oa":true,"landing_page_url":"https://doaj.org/article/37a04206276b4934b427ce63cea6b7a4","pdf_url":null,"source":{"id":"https://openalex.org/S112646816","display_name":"SHILAP Revista de lepidopterolog\u00eda","issn_l":"0300-5267","issn":["0300-5267","2340-4078"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Cybersecurity, Vol 6, Iss 1, Pp 1-15 (2023)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1186/s42400-023-00161-0","is_oa":true,"landing_page_url":"https://doi.org/10.1186/s42400-023-00161-0","pdf_url":"https://cybersecurity.springeropen.com/counter/pdf/10.1186/s42400-023-00161-0","source":{"id":"https://openalex.org/S3035238565","display_name":"Cybersecurity","issn_l":"2523-3246","issn":["2523-3246"],"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":"Cybersecurity","raw_type":"journal-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/9","score":0.6399999856948853,"display_name":"Industry, innovation and infrastructure"}],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":false},"content_urls":{"pdf":"https://content.openalex.org/works/W4387244099.pdf"},"referenced_works_count":53,"referenced_works":["https://openalex.org/W2002900768","https://openalex.org/W2056982990","https://openalex.org/W2512333035","https://openalex.org/W2525336835","https://openalex.org/W2807621303","https://openalex.org/W2898878688","https://openalex.org/W2922382540","https://openalex.org/W2946806001","https://openalex.org/W2946893466","https://openalex.org/W2972462537","https://openalex.org/W2979998718","https://openalex.org/W3001675796","https://openalex.org/W3003465801","https://openalex.org/W3003591012","https://openalex.org/W3007762791","https://openalex.org/W3016470706","https://openalex.org/W3016509480","https://openalex.org/W3030283533","https://openalex.org/W3036080431","https://openalex.org/W3087849236","https://openalex.org/W3100515097","https://openalex.org/W3123908207","https://openalex.org/W3156536523","https://openalex.org/W3158002759","https://openalex.org/W3198377598","https://openalex.org/W3209492459","https://openalex.org/W3214003809","https://openalex.org/W4211207925","https://openalex.org/W4212986808","https://openalex.org/W4214529720","https://openalex.org/W4220775946","https://openalex.org/W4220953822","https://openalex.org/W4220963699","https://openalex.org/W4220991854","https://openalex.org/W4221004701","https://openalex.org/W4224068037","https://openalex.org/W4224216588","https://openalex.org/W4226478130","https://openalex.org/W4281263501","https://openalex.org/W4281693015","https://openalex.org/W4281701520","https://openalex.org/W4281784934","https://openalex.org/W4282962355","https://openalex.org/W4282968173","https://openalex.org/W4283019189","https://openalex.org/W4283726058","https://openalex.org/W4283778696","https://openalex.org/W4288061065","https://openalex.org/W4291278258","https://openalex.org/W4292157811","https://openalex.org/W4293386766","https://openalex.org/W4293577564","https://openalex.org/W6681342136"],"related_works":["https://openalex.org/W2357468538","https://openalex.org/W1577110157","https://openalex.org/W2355007334","https://openalex.org/W2390009783","https://openalex.org/W4254602698","https://openalex.org/W2394461323","https://openalex.org/W2349441905","https://openalex.org/W2361044160","https://openalex.org/W1483130311","https://openalex.org/W2105642232"],"abstract_inverted_index":{"Abstract":[0],"Network":[1,109],"Intrusion":[2,110],"Detection":[3,111],"Systems":[4],"(NIDS)":[5],"are":[6,216],"utilized":[7],"to":[8,41,78,93,120,151,175,185,203],"find":[9,42],"hostile":[10],"network":[11,21,127,166,188,196],"connections.":[12],"This":[13,54],"can":[14],"be":[15,118],"accomplished":[16],"by":[17],"looking":[18],"at":[19],"traffic":[20],"activity,":[22],"but":[23],"it":[24,76,85,291],"takes":[25,77],"a":[26,61,165,169,187,190,194,204,207,286],"lot":[27],"of":[28,46,63,67,89,138,147,198],"work.":[29],"The":[30,87,108],"NIDS":[31,49,95],"heavily":[32],"utilizes":[33],"approaches":[34],"for":[35,105,268,285],"data":[36,149,177],"extraction":[37],"and":[38,82,142,168,206,213,248,277,305],"machine":[39,226],"learning":[40,227],"anomalies.":[43],"In":[44,157,271],"terms":[45],"feature":[47,70,269],"selection,":[48],"is":[50,55,92,114,173,183,257],"far":[51],"more":[52],"effective.":[53],"accurate":[56],"since":[57],"anomaly":[58],"identification":[59,137],"uses":[60],"number":[62],"time-consuming":[64],"features.":[65],"Because":[66],"this,":[68],"the":[69,90,126,133,136,139,144,152,158,220,230,272,295],"selection":[71,99],"method":[72],"influences":[73],"how":[74,83],"long":[75],"analyze":[79],"movement":[80],"patterns":[81],"clear":[84],"is.":[86],"goal":[88],"study":[91],"provide":[94],"with":[96,264,283],"an":[97,258],"attribute":[98],"approach.":[100],"PSO":[101,284,298,302,306],"has":[102,210,261],"been":[103,211,262,281],"used":[104,174,184,263],"that":[106,113,232],"purpose.":[107],"System":[112],"being":[115,155,217],"developed":[116],"will":[117],"able":[119],"identify":[121],"any":[122,129],"malicious":[123],"activity":[124],"in":[125,132,189,309],"or":[128],"unusual":[130],"behavior":[131],"network,":[134],"allowing":[135],"illegal":[140],"activities":[141],"safeguarding":[143],"enormous":[145],"amounts":[146],"confidential":[148],"belonging":[150],"customers":[153],"from":[154,236,251],"compromised.":[156],"research,":[159,273],"datasets":[160,231,235,245],"were":[161,233],"produced":[162],"utilising":[163],"both":[164],"infrastructure":[167],"simulation":[170],"network.":[171],"Wireshark":[172,221],"gather":[176],"packets":[178,215],"whereas":[179],"Cisco":[180],"Packet":[181],"Tracer":[182],"build":[186],"simulated":[191],"environment.":[192],"Additionally,":[193,254],"physical":[195],"consisting":[197],"six":[199],"node":[200],"MCUs":[201],"connected":[202],"laptop":[205],"mobile":[208],"hotspot,":[209],"built":[212],"communication":[214],"recorded":[218],"using":[219],"tool.":[222],"To":[223],"train":[224],"several":[225],"models,":[228],"all":[229,280],"gathered\u2014created":[234],"our":[237],"own":[238],"studies":[239],"as":[240,242],"well":[241],"some":[243],"common":[244],"like":[246],"NSDL":[247],"UNSW":[249],"acquired":[250],"Kaggle\u2014were":[252],"employed.":[253],"PSO,":[255],"which":[256],"optimization":[259],"method,":[260],"these":[265],"ML":[266],"algorithms":[267],"selection.":[270],"KNN,":[274],"decision":[275],"trees,":[276],"ANN":[278,300],"have":[279],"combined":[282],"specific":[287],"case":[288,311],"study.":[289,312],"And":[290],"was":[292],"found":[293],"demonstrated":[294],"classification":[296],"methods":[297],"+":[299,303,307],"outperformed":[301],"KNN":[304],"DT":[308],"this":[310]},"counts_by_year":[{"year":2026,"cited_by_count":4},{"year":2025,"cited_by_count":9},{"year":2024,"cited_by_count":12},{"year":2023,"cited_by_count":1}],"updated_date":"2026-04-18T07:56:08.524223","created_date":"2025-10-10T00:00:00"}