{"id":"https://openalex.org/W4317892895","doi":"https://doi.org/10.1109/iccspa55860.2022.10019245","title":"Fine-tuned LSTM-Based Model for Efficient Honeypot-Based Network Intrusion Detection System in Smart Grid Networks","display_name":"Fine-tuned LSTM-Based Model for Efficient Honeypot-Based Network Intrusion Detection System in Smart Grid Networks","publication_year":2022,"publication_date":"2022-12-27","ids":{"openalex":"https://openalex.org/W4317892895","doi":"https://doi.org/10.1109/iccspa55860.2022.10019245"},"language":"en","primary_location":{"id":"doi:10.1109/iccspa55860.2022.10019245","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iccspa55860.2022.10019245","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 5th International Conference on Communications, Signal Processing, and their Applications (ICCSPA)","raw_type":"proceedings-article"},"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/A5048768303","display_name":"Abdullatif Albaseer","orcid":"https://orcid.org/0000-0002-6886-6500"},"institutions":[{"id":"https://openalex.org/I4210144839","display_name":"Hamad bin Khalifa University","ror":"https://ror.org/03eyq4y97","country_code":"QA","type":"education","lineage":["https://openalex.org/I4210144839"]}],"countries":["QA"],"is_corresponding":false,"raw_author_name":"Abdullatif Albaseer","raw_affiliation_strings":["College of Science and Engineering, Hamad Bin Khalifa University,Division of Information and Computing Technology,Doha,Qatar","Division of Information and Computing Technology, College of Science and Engineering, Hamad Bin Khalifa University, Doha, Qatar"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Science and Engineering, Hamad Bin Khalifa University,Division of Information and Computing Technology,Doha,Qatar","institution_ids":["https://openalex.org/I4210144839"]},{"raw_affiliation_string":"Division of Information and Computing Technology, College of Science and Engineering, Hamad Bin Khalifa University, Doha, Qatar","institution_ids":["https://openalex.org/I4210144839"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5037234286","display_name":"Mohamed Abdallah","orcid":"https://orcid.org/0000-0002-3261-7588"},"institutions":[{"id":"https://openalex.org/I4210144839","display_name":"Hamad bin Khalifa University","ror":"https://ror.org/03eyq4y97","country_code":"QA","type":"education","lineage":["https://openalex.org/I4210144839"]}],"countries":["QA"],"is_corresponding":false,"raw_author_name":"Mohamed Abdallah","raw_affiliation_strings":["College of Science and Engineering, Hamad Bin Khalifa University,Division of Information and Computing Technology,Doha,Qatar","Division of Information and Computing Technology, College of Science and Engineering, Hamad Bin Khalifa University, Doha, Qatar"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Science and Engineering, Hamad Bin Khalifa University,Division of Information and Computing Technology,Doha,Qatar","institution_ids":["https://openalex.org/I4210144839"]},{"raw_affiliation_string":"Division of Information and Computing Technology, College of Science and Engineering, Hamad Bin Khalifa University, Doha, Qatar","institution_ids":["https://openalex.org/I4210144839"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I4210144839"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":8,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"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":0.9998999834060669,"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":0.9998999834060669,"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/T10917","display_name":"Smart Grid Security and Resilience","score":0.9998000264167786,"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"}},{"id":"https://openalex.org/T11598","display_name":"Internet Traffic Analysis and Secure E-voting","score":0.9993000030517578,"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":0.8387144804000854},{"id":"https://openalex.org/keywords/honeypot","display_name":"Honeypot","score":0.8303231596946716},{"id":"https://openalex.org/keywords/intrusion-detection-system","display_name":"Intrusion detection system","score":0.5976530313491821},{"id":"https://openalex.org/keywords/network-packet","display_name":"Network packet","score":0.5231653451919556},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.48562875390052795},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4720863997936249},{"id":"https://openalex.org/keywords/grid","display_name":"Grid","score":0.46326783299446106},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4500451982021332},{"id":"https://openalex.org/keywords/workload","display_name":"Workload","score":0.44258543848991394},{"id":"https://openalex.org/keywords/tracing","display_name":"Tracing","score":0.44048288464546204},{"id":"https://openalex.org/keywords/network-security","display_name":"Network security","score":0.4272763133049011},{"id":"https://openalex.org/keywords/operating-system","display_name":"Operating system","score":0.14708900451660156},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.14373156428337097}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8387144804000854},{"id":"https://openalex.org/C191267431","wikidata":"https://www.wikidata.org/wiki/Q911932","display_name":"Honeypot","level":2,"score":0.8303231596946716},{"id":"https://openalex.org/C35525427","wikidata":"https://www.wikidata.org/wiki/Q745881","display_name":"Intrusion detection system","level":2,"score":0.5976530313491821},{"id":"https://openalex.org/C158379750","wikidata":"https://www.wikidata.org/wiki/Q214111","display_name":"Network packet","level":2,"score":0.5231653451919556},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.48562875390052795},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4720863997936249},{"id":"https://openalex.org/C187691185","wikidata":"https://www.wikidata.org/wiki/Q2020720","display_name":"Grid","level":2,"score":0.46326783299446106},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4500451982021332},{"id":"https://openalex.org/C2778476105","wikidata":"https://www.wikidata.org/wiki/Q628539","display_name":"Workload","level":2,"score":0.44258543848991394},{"id":"https://openalex.org/C138673069","wikidata":"https://www.wikidata.org/wiki/Q322229","display_name":"Tracing","level":2,"score":0.44048288464546204},{"id":"https://openalex.org/C182590292","wikidata":"https://www.wikidata.org/wiki/Q989632","display_name":"Network security","level":2,"score":0.4272763133049011},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.14708900451660156},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.14373156428337097},{"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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/iccspa55860.2022.10019245","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iccspa55860.2022.10019245","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 5th International Conference on Communications, Signal Processing, and their Applications (ICCSPA)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Peace, Justice and strong institutions","score":0.5400000214576721,"id":"https://metadata.un.org/sdg/16"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":20,"referenced_works":["https://openalex.org/W2253724380","https://openalex.org/W2624984182","https://openalex.org/W2782004535","https://openalex.org/W2789828921","https://openalex.org/W2800348009","https://openalex.org/W2911981000","https://openalex.org/W2920215781","https://openalex.org/W2980576170","https://openalex.org/W3000367805","https://openalex.org/W3013536297","https://openalex.org/W3080847572","https://openalex.org/W3116191808","https://openalex.org/W3183541530","https://openalex.org/W3184930951","https://openalex.org/W4211016117","https://openalex.org/W4285103550","https://openalex.org/W4285116354","https://openalex.org/W4285221210","https://openalex.org/W4288754402","https://openalex.org/W4327767955"],"related_works":["https://openalex.org/W2312996858","https://openalex.org/W2392120181","https://openalex.org/W2307276533","https://openalex.org/W2390124310","https://openalex.org/W2594597562","https://openalex.org/W2361650029","https://openalex.org/W1852121458","https://openalex.org/W2352199719","https://openalex.org/W2149305257","https://openalex.org/W2158220440"],"abstract_inverted_index":{"Honeypot":[0],"is":[1],"considered":[2],"a":[3,65,146,177,206],"powerful":[4],"complement":[5],"to":[6,27,47,73,106,150,210],"the":[7,20,30,38,45,60,127,133,143,151,162,193,211],"Network":[8],"Intrusion":[9],"Detection":[10],"System":[11],"(NIDS)":[12],"in":[13,35,42,59,164],"smart":[14],"grid":[15],"(SG)":[16],"systems,":[17],"which":[18],"minimizes":[19],"workload":[21],"of":[22,135,142,166,192],"NIDSs":[23,46],"while":[24,200],"providing":[25],"access":[26],"information":[28],"about":[29],"attacker's":[31],"actions.":[32],"This":[33],"assists":[34],"further":[36],"tracing":[37],"attack":[39],"surface":[40],"and,":[41],"return,":[43],"enables":[44],"prevent":[48],"such":[49],"behaviors.":[50],"Machine":[51],"learning":[52],"(ML)":[53],"has":[54],"recently":[55],"attracted":[56],"considerable":[57],"attention":[58],"SG":[61],"security":[62,75],"domain":[63],"as":[64],"stringent":[66],"technique":[67],"for":[68,87,95],"designing":[69],"and":[70,92,114,155,170],"implementing":[71],"algorithms":[72,124],"predict":[74],"threats.":[76],"However,":[77],"large":[78,182],"data":[79],"sets":[80],"collected":[81,197],"by":[82],"honeypots":[83],"require":[84],"more":[85],"effort":[86],"faster":[88],"response,":[89],"real-time":[90],"processing,":[91],"decision-making,":[93],"especially":[94],"limited":[96],"resources":[97],"SG's":[98],"devices.":[99],"Thus,":[100],"this":[101,108],"paper":[102],"proposes":[103],"an":[104,157],"approach":[105,154,187],"address":[107],"challenge,":[109],"including":[110],"feature":[111],"extraction,":[112],"oversampling":[113],"weak":[115],"label":[116],"combinations.":[117],"We":[118,172],"demonstrate":[119],"that":[120,160,180],"all":[121],"classic":[122],"ML":[123],"cannot":[125],"maintain":[126],"desired":[128],"performance":[129],"level":[130],"when":[131],"reducing":[132],"number":[134],"selected":[136],"features":[137,194],"(i.e.,":[138],"using":[139,176],"only":[140],"25%":[141,191],"features).":[144],"As":[145],"result,":[147],"we":[148],"resort":[149],"Deep":[152],"Learning":[153],"propose":[156],"LSTM-based":[158],"model":[159],"outperforms":[161],"state-of-the-art":[163],"terms":[165],"accuracy,":[167],"precision,":[168],"recall,":[169],"f1-score.":[171],"conduct":[173],"extensive":[174],"simulations":[175],"realistic":[178],"dataset":[179],"includes":[181],"log":[183],"files.":[184],"The":[185],"proposed":[186],"can":[188],"employ":[189],"just":[190],"from":[195],"each":[196],"network":[198],"packet":[199],"attaining":[201],"99.8%":[202],"testing":[203],"accuracy":[204],"with":[205],"13%":[207],"improvement":[208],"compared":[209],"benchmarks.":[212]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":4}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}