{"id":"https://openalex.org/W4406557676","doi":"https://doi.org/10.1142/s0219467827500057","title":"Optimization-Based Feature Selection and Classification with Modified Activation-Tuned Deep BiLSTM for Attack Detection in IoT","display_name":"Optimization-Based Feature Selection and Classification with Modified Activation-Tuned Deep BiLSTM for Attack Detection in IoT","publication_year":2025,"publication_date":"2025-01-14","ids":{"openalex":"https://openalex.org/W4406557676","doi":"https://doi.org/10.1142/s0219467827500057"},"language":"en","primary_location":{"id":"doi:10.1142/s0219467827500057","is_oa":false,"landing_page_url":"https://doi.org/10.1142/s0219467827500057","pdf_url":null,"source":{"id":"https://openalex.org/S60080701","display_name":"International Journal of Image and Graphics","issn_l":"0219-4678","issn":["0219-4678","1793-6756"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319815","host_organization_name":"World Scientific","host_organization_lineage":["https://openalex.org/P4310319815"],"host_organization_lineage_names":["World Scientific"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Image and Graphics","raw_type":"journal-article"},"type":"article","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":null,"display_name":"Priyanka","orcid":"https://orcid.org/0009-0007-3474-9932"},"institutions":[{"id":"https://openalex.org/I102117144","display_name":"Banasthali University","ror":"https://ror.org/05ycegt40","country_code":"IN","type":"education","lineage":["https://openalex.org/I102117144"]}],"countries":["IN"],"is_corresponding":true,"raw_author_name":"Priyanka","raw_affiliation_strings":["Department of Computer Science, Banasthali Vidyapith, P. O. Banasthali Vidyapith, District\u2014Tonk, Rajasthan 304022, India"],"raw_orcid":"https://orcid.org/0009-0007-3474-9932","affiliations":[{"raw_affiliation_string":"Department of Computer Science, Banasthali Vidyapith, P. O. Banasthali Vidyapith, District\u2014Tonk, Rajasthan 304022, India","institution_ids":["https://openalex.org/I102117144"]}]},{"author_position":"last","author":{"id":null,"display_name":"Anoop Kumar","orcid":"https://orcid.org/0000-0002-4290-9349"},"institutions":[{"id":"https://openalex.org/I102117144","display_name":"Banasthali University","ror":"https://ror.org/05ycegt40","country_code":"IN","type":"education","lineage":["https://openalex.org/I102117144"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Anoop Kumar","raw_affiliation_strings":["Department of Computer Science, Banasthali Vidyapith, P. O. Banasthali Vidyapith, District\u2014Tonk, Rajasthan 304022, India"],"raw_orcid":"https://orcid.org/0000-0002-4290-9349","affiliations":[{"raw_affiliation_string":"Department of Computer Science, Banasthali Vidyapith, P. O. Banasthali Vidyapith, District\u2014Tonk, Rajasthan 304022, India","institution_ids":["https://openalex.org/I102117144"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I102117144"],"apc_list":null,"apc_paid":null,"fwci":2.0701,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.85759716,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":97},"biblio":{"volume":"26","issue":"06","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":0.9807999730110168,"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":0.9807999730110168,"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/T11241","display_name":"Advanced Malware Detection Techniques","score":0.9620000123977661,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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":0.6824358701705933},{"id":"https://openalex.org/keywords/feature-selection","display_name":"Feature selection","score":0.6768310070037842},{"id":"https://openalex.org/keywords/selection","display_name":"Selection (genetic algorithm)","score":0.654958963394165},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.621522068977356},{"id":"https://openalex.org/keywords/internet-of-things","display_name":"Internet of Things","score":0.5149993896484375},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5049079060554504},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.4629773497581482},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.386943519115448},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3330569267272949},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.2274475395679474}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6824358701705933},{"id":"https://openalex.org/C148483581","wikidata":"https://www.wikidata.org/wiki/Q446488","display_name":"Feature selection","level":2,"score":0.6768310070037842},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.654958963394165},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.621522068977356},{"id":"https://openalex.org/C81860439","wikidata":"https://www.wikidata.org/wiki/Q251212","display_name":"Internet of Things","level":2,"score":0.5149993896484375},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5049079060554504},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4629773497581482},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.386943519115448},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3330569267272949},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.2274475395679474},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1142/s0219467827500057","is_oa":false,"landing_page_url":"https://doi.org/10.1142/s0219467827500057","pdf_url":null,"source":{"id":"https://openalex.org/S60080701","display_name":"International Journal of Image and Graphics","issn_l":"0219-4678","issn":["0219-4678","1793-6756"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319815","host_organization_name":"World Scientific","host_organization_lineage":["https://openalex.org/P4310319815"],"host_organization_lineage_names":["World Scientific"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Image and Graphics","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":16,"referenced_works":["https://openalex.org/W1998327975","https://openalex.org/W2991507433","https://openalex.org/W2996850699","https://openalex.org/W3028069824","https://openalex.org/W3035318349","https://openalex.org/W3095531713","https://openalex.org/W3169330763","https://openalex.org/W3196498354","https://openalex.org/W4214585224","https://openalex.org/W4313890394","https://openalex.org/W4319791240","https://openalex.org/W4321365799","https://openalex.org/W4363679277","https://openalex.org/W4387496278","https://openalex.org/W4388878489","https://openalex.org/W4388966623"],"related_works":["https://openalex.org/W4245926026","https://openalex.org/W4311097251","https://openalex.org/W2586548817","https://openalex.org/W2625093826","https://openalex.org/W4200598720","https://openalex.org/W2921026492","https://openalex.org/W4247463117","https://openalex.org/W4361251261","https://openalex.org/W4386564352","https://openalex.org/W2952668426"],"abstract_inverted_index":{"With":[0],"the":[1,9,14,26,47,53,60,80,121,130,170,178,183,192,198,206,215,223,234,241,247,258],"increasing":[2],"demand":[3],"for":[4,35,213],"automated":[5],"network":[6],"systems":[7,89,92],"in":[8,100,150,204,225],"Internet":[10,54],"of":[11,40,46,49,55,70,76,115,123,136,240,249],"Things":[12],"(IoT),":[13],"models":[15],"are":[16,32,73,195],"becoming":[17],"more":[18,63,143],"complex":[19],"and":[20,66,146,173,187,238,254,257],"undergoing":[21],"a":[22,44,156,226],"tremendous":[23,108],"change.":[24],"Since":[25],"gadgets":[27],"broadcast":[28],"data":[29,138],"wirelessly,":[30],"they":[31],"easily":[33],"targeted":[34],"attacks.":[36,101,267],"Every":[37],"day,":[38],"thousands":[39],"attacks":[41,175],"arise":[42],"as":[43,218,220],"result":[45],"addition":[48],"new":[50],"protocols":[51],"to":[52,132,221],"Things.":[56],"This":[57,82],"frequently":[58],"makes":[59],"computing":[61],"process":[62],"unreliable,":[64],"ineffective":[65],"worse.":[67],"The":[68],"majority":[69],"these":[71,124],"assaults":[72],"scaled-down":[74],"versions":[75],"recognized":[77],"cyberattacks":[78],"from":[79,139,148],"past.":[81],"suggests":[83],"that":[84],"over":[85],"time,":[86,145],"even":[87,97],"sophisticated":[88],"like":[90],"conventional":[91],"will":[93],"have":[94],"trouble":[95],"identifying":[96],"minute":[98],"variations":[99],"However,":[102],"Deep":[103],"Learning":[104],"(DL)":[105],"has":[106],"shown":[107],"promise":[109],"among":[110],"attack":[111,224,243],"detection":[112,118,244],"techniques":[113],"because":[114],"its":[116,211],"early":[117],"capability.":[119],"Nevertheless,":[120],"efficacy":[122],"DL":[125],"methods":[126],"is":[127],"contingent":[128],"upon":[129],"ability":[131],"gather":[133],"vast":[134],"amounts":[135],"labeled":[137],"IoT":[140,262],"sensors,":[141],"requires":[142],"training":[144],"suffers":[147],"inaccuracies":[149],"detection.":[151],"Hence,":[152],"this":[153],"research":[154],"presents":[155],"modified":[157,179],"activation":[158,180],"function-based":[159],"deep":[160],"bidirectional":[161],"long-short-term":[162],"memory":[163],"(Deep":[164],"BiLSTM)":[165],"model,":[166],"which":[167,202],"effectively":[168,265],"captures":[169],"temporal":[171],"dependencies":[172],"detect":[174,222],"effectively.":[176],"Here,":[177],"function":[181],"solves":[182],"vanishing":[184],"gradient":[185],"problem":[186],"high":[188],"computational":[189,231],"requirements.":[190],"Specifically,":[191],"efficient":[193],"features":[194],"extracted":[196],"through":[197],"Ant-Chase":[199],"optimization":[200],"(AnChO),":[201],"assists":[203],"optimizing":[205],"BiLSTM":[207],"model":[208,245],"by":[209,264],"tuning":[210],"parameters":[212],"attaining":[214],"best":[216],"solution":[217],"well":[219],"precise":[227],"manner":[228],"with":[229],"less":[230],"time.":[232],"Therefore,":[233],"accuracy,":[235],"specificity,":[236],"precision":[237],"recall":[239],"proposed":[242,259],"attain":[246],"values":[248],"96.46%,":[250],"97.40%,":[251],"97.91%,":[252],"95.05%":[253],"97.465%":[255],"correspondingly":[256],"system":[260],"enhances":[261],"security":[263],"detecting":[266]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":2}],"updated_date":"2026-07-21T08:15:58.654021","created_date":"2025-10-10T00:00:00"}