{"id":"https://openalex.org/W7127346583","doi":"https://doi.org/10.1007/s11276-025-04083-2","title":"Cyberattack detection using a golden pelican search algorithm optimized three-tier deep learning approach","display_name":"Cyberattack detection using a golden pelican search algorithm optimized three-tier deep learning approach","publication_year":2026,"publication_date":"2026-02-03","ids":{"openalex":"https://openalex.org/W7127346583","doi":"https://doi.org/10.1007/s11276-025-04083-2"},"language":"en","primary_location":{"id":"doi:10.1007/s11276-025-04083-2","is_oa":false,"landing_page_url":"https://doi.org/10.1007/s11276-025-04083-2","pdf_url":null,"source":{"id":"https://openalex.org/S205498627","display_name":"Wireless Networks","issn_l":"1022-0038","issn":["1022-0038","1572-8196"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Wireless Networks","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":"https://openalex.org/A5103916835","display_name":"Manu Devi","orcid":null},"institutions":[{"id":"https://openalex.org/I905734797","display_name":"Maharshi Dayanand University","ror":"https://ror.org/03kaab451","country_code":"IN","type":"education","lineage":["https://openalex.org/I905734797"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Manu Devi","raw_affiliation_strings":["Department of Computer Science and Engineering, University Institute of Engineering and Technology, Maharshi Dayanand University, Haryana, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, University Institute of Engineering and Technology, Maharshi Dayanand University, Haryana, India","institution_ids":["https://openalex.org/I905734797"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5113929603","display_name":"Priyanka Nandal","orcid":null},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Priyanka Nandal","raw_affiliation_strings":["Department of Computer Science and Engineering, Maharaja Surajmal Institute of Technology, New Delhi, India"],"raw_orcid":"https://orcid.org/0000-0003-3794-0189","affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, Maharaja Surajmal Institute of Technology, New Delhi, India","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5059414136","display_name":"Harkesh Sehrawat","orcid":"https://orcid.org/0000-0003-4778-946X"},"institutions":[{"id":"https://openalex.org/I905734797","display_name":"Maharshi Dayanand University","ror":"https://ror.org/03kaab451","country_code":"IN","type":"education","lineage":["https://openalex.org/I905734797"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Harkesh Sehrawat","raw_affiliation_strings":["Department of Computer Science and Engineering, University Institute of Engineering and Technology, Maharshi Dayanand University, Haryana, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, University Institute of Engineering and Technology, Maharshi Dayanand University, Haryana, India","institution_ids":["https://openalex.org/I905734797"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5113929603"],"corresponding_institution_ids":[],"apc_list":{"value":2990,"currency":"USD","value_usd":2990},"apc_paid":null,"fwci":9.4669,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.95828841,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":97},"biblio":{"volume":"32","issue":"2","first_page":"815","last_page":"837"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10400","display_name":"Network Security and Intrusion Detection","score":0.9301000237464905,"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":0.9301000237464905,"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/T10714","display_name":"Software-Defined Networks and 5G","score":0.008700000122189522,"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":0.003100000089034438,"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/hyperparameter","display_name":"Hyperparameter","score":0.647599995136261},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.6301000118255615},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.5701000094413757},{"id":"https://openalex.org/keywords/intrusion-detection-system","display_name":"Intrusion detection system","score":0.5421000123023987},{"id":"https://openalex.org/keywords/hyperparameter-optimization","display_name":"Hyperparameter optimization","score":0.46639999747276306},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.4293000102043152},{"id":"https://openalex.org/keywords/sensitivity","display_name":"Sensitivity (control systems)","score":0.3962000012397766},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.3912000060081482},{"id":"https://openalex.org/keywords/pairwise-comparison","display_name":"Pairwise comparison","score":0.37720000743865967}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8687999844551086},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6495000123977661},{"id":"https://openalex.org/C8642999","wikidata":"https://www.wikidata.org/wiki/Q4171168","display_name":"Hyperparameter","level":2,"score":0.647599995136261},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.6301000118255615},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.5701000094413757},{"id":"https://openalex.org/C35525427","wikidata":"https://www.wikidata.org/wiki/Q745881","display_name":"Intrusion detection system","level":2,"score":0.5421000123023987},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5314000248908997},{"id":"https://openalex.org/C10485038","wikidata":"https://www.wikidata.org/wiki/Q48996162","display_name":"Hyperparameter optimization","level":3,"score":0.46639999747276306},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.4293000102043152},{"id":"https://openalex.org/C21200559","wikidata":"https://www.wikidata.org/wiki/Q7451068","display_name":"Sensitivity (control systems)","level":2,"score":0.3962000012397766},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.3912000060081482},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3837999999523163},{"id":"https://openalex.org/C184898388","wikidata":"https://www.wikidata.org/wiki/Q1435712","display_name":"Pairwise comparison","level":2,"score":0.37720000743865967},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.3605000078678131},{"id":"https://openalex.org/C137836250","wikidata":"https://www.wikidata.org/wiki/Q984063","display_name":"Optimization problem","level":2,"score":0.33820000290870667},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.3109999895095825},{"id":"https://openalex.org/C739882","wikidata":"https://www.wikidata.org/wiki/Q3560506","display_name":"Anomaly detection","level":2,"score":0.30640000104904175},{"id":"https://openalex.org/C59404180","wikidata":"https://www.wikidata.org/wiki/Q17013334","display_name":"Feature learning","level":2,"score":0.29670000076293945},{"id":"https://openalex.org/C2987595161","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Optimization algorithm","level":2,"score":0.29429998993873596},{"id":"https://openalex.org/C22735295","wikidata":"https://www.wikidata.org/wiki/Q317671","display_name":"Botnet","level":3,"score":0.28290000557899475},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.28029999136924744},{"id":"https://openalex.org/C68781425","wikidata":"https://www.wikidata.org/wiki/Q2052203","display_name":"Multi-objective optimization","level":2,"score":0.27959999442100525},{"id":"https://openalex.org/C125583679","wikidata":"https://www.wikidata.org/wiki/Q755673","display_name":"Search algorithm","level":2,"score":0.2597000002861023},{"id":"https://openalex.org/C148483581","wikidata":"https://www.wikidata.org/wiki/Q446488","display_name":"Feature selection","level":2,"score":0.25699999928474426},{"id":"https://openalex.org/C2781002164","wikidata":"https://www.wikidata.org/wiki/Q6822311","display_name":"Meta learning (computer science)","level":3,"score":0.2538999915122986}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1007/s11276-025-04083-2","is_oa":false,"landing_page_url":"https://doi.org/10.1007/s11276-025-04083-2","pdf_url":null,"source":{"id":"https://openalex.org/S205498627","display_name":"Wireless Networks","issn_l":"1022-0038","issn":["1022-0038","1572-8196"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Wireless Networks","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":41,"referenced_works":["https://openalex.org/W1983758531","https://openalex.org/W2067792375","https://openalex.org/W2112652649","https://openalex.org/W2148306323","https://openalex.org/W2148922257","https://openalex.org/W2517343931","https://openalex.org/W2991510021","https://openalex.org/W3081949799","https://openalex.org/W3120795858","https://openalex.org/W3142044733","https://openalex.org/W3164952570","https://openalex.org/W4205957238","https://openalex.org/W4206918024","https://openalex.org/W4210702638","https://openalex.org/W4221079563","https://openalex.org/W4224258320","https://openalex.org/W4383218272","https://openalex.org/W4385986611","https://openalex.org/W4386281023","https://openalex.org/W4387244099","https://openalex.org/W4388419817","https://openalex.org/W4391481650","https://openalex.org/W4391671371","https://openalex.org/W4392298629","https://openalex.org/W4394586044","https://openalex.org/W4394674278","https://openalex.org/W4394792220","https://openalex.org/W4394862991","https://openalex.org/W4395069547","https://openalex.org/W4400226773","https://openalex.org/W4400788246","https://openalex.org/W4402231074","https://openalex.org/W4405479897","https://openalex.org/W4409723056","https://openalex.org/W4409917812","https://openalex.org/W4411682843","https://openalex.org/W4412786703","https://openalex.org/W4413221049","https://openalex.org/W4413229649","https://openalex.org/W4414548164","https://openalex.org/W4414654262"],"related_works":[],"abstract_inverted_index":null,"counts_by_year":[{"year":2026,"cited_by_count":1}],"updated_date":"2026-07-29T09:40:50.615796","created_date":"2026-02-04T00:00:00"}
