{"id":"https://openalex.org/W3091245776","doi":"https://doi.org/10.1108/ijpcc-05-2020-0036","title":"Moving ridge neuronal espionage network simulation for reticulum invasion sensing","display_name":"Moving ridge neuronal espionage network simulation for reticulum invasion sensing","publication_year":2020,"publication_date":"2020-09-29","ids":{"openalex":"https://openalex.org/W3091245776","doi":"https://doi.org/10.1108/ijpcc-05-2020-0036","mag":"3091245776"},"language":"en","primary_location":{"id":"doi:10.1108/ijpcc-05-2020-0036","is_oa":false,"landing_page_url":"https://doi.org/10.1108/ijpcc-05-2020-0036","pdf_url":null,"source":{"id":"https://openalex.org/S172682790","display_name":"International Journal of Pervasive Computing and Communications","issn_l":"1742-7371","issn":["1742-7371","1742-738X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319811","host_organization_name":"Emerald Publishing Limited","host_organization_lineage":["https://openalex.org/P4310319811"],"host_organization_lineage_names":["Emerald Publishing Limited"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Pervasive Computing and Communications","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/A5035254764","display_name":"G. Sreeram","orcid":null},"institutions":[{"id":"https://openalex.org/I134892692","display_name":"Chaitanya Bharathi Institute of Technology","ror":"https://ror.org/047ymzq84","country_code":"IN","type":"education","lineage":["https://openalex.org/I134892692"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"G. Sreeram","raw_affiliation_strings":["Department of Computer Science and Engineering, Vignana Bharathi Institute of Technology, Hyderabad, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, Vignana Bharathi Institute of Technology, Hyderabad, India","institution_ids":["https://openalex.org/I134892692"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101659990","display_name":"S. Pradeep","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"S. Pradeep","raw_affiliation_strings":["Department of Computer Science and Engineering, Bhoj Reddy Engineering College for Women, Hyderabad, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, Bhoj Reddy Engineering College for Women, Hyderabad, India","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5048234263","display_name":"K. Sreenivasa Rao","orcid":"https://orcid.org/0000-0002-2186-0419"},"institutions":[{"id":"https://openalex.org/I134892692","display_name":"Chaitanya Bharathi Institute of Technology","ror":"https://ror.org/047ymzq84","country_code":"IN","type":"education","lineage":["https://openalex.org/I134892692"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"K. Sreenivasa Rao","raw_affiliation_strings":["Department of Computer Science and Engineering, Vignana Bharathi Institute of Technology, Hyderabad, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, Vignana Bharathi Institute of Technology, Hyderabad, India","institution_ids":["https://openalex.org/I134892692"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5070987707","display_name":"B. Deevana Raju","orcid":null},"institutions":[{"id":"https://openalex.org/I4210138731","display_name":"ICFAI Foundation for Higher Education","ror":"https://ror.org/04p3pp808","country_code":"IN","type":"education","lineage":["https://openalex.org/I4210138731"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"B. Deevana Raju","raw_affiliation_strings":["Department of Computer Science and Engineering, Faculty of Science and Technology, ICFAI Foundation for Higher Education, Hyderabad, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, Faculty of Science and Technology, ICFAI Foundation for Higher Education, Hyderabad, India","institution_ids":["https://openalex.org/I4210138731"]}]},{"author_position":"last","author":{"id":null,"display_name":"Parveen Nikhat","orcid":null},"institutions":[{"id":"https://openalex.org/I875944469","display_name":"Koneru Lakshmaiah Education Foundation","ror":"https://ror.org/02k949197","country_code":"IN","type":"education","lineage":["https://openalex.org/I875944469"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Parveen Nikhat","raw_affiliation_strings":["Department of Computer Science and Engineering, Koneru Lakshmaiah Education Foundation, Guntur, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, Koneru Lakshmaiah Education Foundation, Guntur, India","institution_ids":["https://openalex.org/I875944469"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.3241,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.63294572,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"17","issue":"1","first_page":"64","last_page":"77"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10400","display_name":"Network Security and Intrusion Detection","score":0.9984999895095825,"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":0.9984999895095825,"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":0.9972000122070312,"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"}},{"id":"https://openalex.org/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9851999878883362,"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":0.7942823171615601},{"id":"https://openalex.org/keywords/intrusion-detection-system","display_name":"Intrusion detection system","score":0.636006772518158},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5342278480529785},{"id":"https://openalex.org/keywords/oversampling","display_name":"Oversampling","score":0.5018770694732666},{"id":"https://openalex.org/keywords/database-transaction","display_name":"Database transaction","score":0.48418667912483215},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.4626304805278778},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.43661102652549744},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3526995778083801},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.12732216715812683}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7942823171615601},{"id":"https://openalex.org/C35525427","wikidata":"https://www.wikidata.org/wiki/Q745881","display_name":"Intrusion detection system","level":2,"score":0.636006772518158},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5342278480529785},{"id":"https://openalex.org/C197323446","wikidata":"https://www.wikidata.org/wiki/Q331222","display_name":"Oversampling","level":3,"score":0.5018770694732666},{"id":"https://openalex.org/C75949130","wikidata":"https://www.wikidata.org/wiki/Q848010","display_name":"Database transaction","level":2,"score":0.48418667912483215},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.4626304805278778},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.43661102652549744},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3526995778083801},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.12732216715812683},{"id":"https://openalex.org/C2776257435","wikidata":"https://www.wikidata.org/wiki/Q1576430","display_name":"Bandwidth (computing)","level":2,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1108/ijpcc-05-2020-0036","is_oa":false,"landing_page_url":"https://doi.org/10.1108/ijpcc-05-2020-0036","pdf_url":null,"source":{"id":"https://openalex.org/S172682790","display_name":"International Journal of Pervasive Computing and Communications","issn_l":"1742-7371","issn":["1742-7371","1742-738X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319811","host_organization_name":"Emerald Publishing Limited","host_organization_lineage":["https://openalex.org/P4310319811"],"host_organization_lineage_names":["Emerald Publishing Limited"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Pervasive Computing and Communications","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Peace, Justice and strong institutions","id":"https://metadata.un.org/sdg/16","score":0.7599999904632568}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":16,"referenced_works":["https://openalex.org/W1577117059","https://openalex.org/W1977366836","https://openalex.org/W1990501350","https://openalex.org/W2002900768","https://openalex.org/W2010967623","https://openalex.org/W2032477387","https://openalex.org/W2049218712","https://openalex.org/W2071128523","https://openalex.org/W2082384736","https://openalex.org/W2148143831","https://openalex.org/W2212753854","https://openalex.org/W2333419896","https://openalex.org/W2336023257","https://openalex.org/W2345964236","https://openalex.org/W2501244995","https://openalex.org/W2886289564"],"related_works":["https://openalex.org/W2766503024","https://openalex.org/W4206637278","https://openalex.org/W2781247653","https://openalex.org/W4386005305","https://openalex.org/W3082051559","https://openalex.org/W1682621979","https://openalex.org/W4386214543","https://openalex.org/W1969988626","https://openalex.org/W3173198409","https://openalex.org/W2953675148"],"abstract_inverted_index":{"Purpose":[0],"The":[1,15,41,85,96,124,172,270,330,343],"paper":[2],"aims":[3],"to":[4,10,81,91,135,140,339],"precise":[5,86],"and":[6,34,50,62,77,87,118,161,197,217,237,244,262,295,319,341,358],"fast":[7,88],"categorization":[8,89,326],"on":[9,56,90,222],"transaction":[11,92],"evolves":[12,93],"into":[13,94],"indispensible.":[14,95],"effective":[16,97],"capacity":[17,98,331],"difficulty":[18,99],"of":[19,29,54,60,72,80,100,113,128,138,174,176,201,234,272,274,299,310,333,345],"all":[20,101],"the":[21,36,46,52,68,74,102,120,136,150,177,180,202,219,230,251,275,278,300,308,313,316,324,337,348],"IDS":[22,169,267],"simulates":[23,107],"today":[24,108],"at":[25,109,347],"below":[26,110,199,297],"discovery":[27,111,224,306,335,351],"amount":[28,112],"fewer":[30,114],"regular":[31,115,195,293,355],"barrage":[32,116],"associations":[33,117,357],"therefore":[35,119],"next":[37,121],"warning":[38,122],"rate.":[39,123],"Design/methodology/approach":[40],"reticulum":[42],"perception":[43],"is":[44,170,212,268,307,336],"that":[45],"methods":[47],"which":[48],"examine":[49,200,298],"determine":[51,340],"scheme":[53],"contact":[55],"unearths":[57],"toward":[58,67,240],"number":[59,321],"dangerous":[61],"perchance":[63],"fateful":[64],"interchanges":[65],"occurring":[66],"system.":[69],"Within":[70],"character":[71],"guaran-teeing":[73],"slumberous,":[75],"opening":[76,318],"uprightness":[78],"count":[79],"socialize":[82],"for":[83,168,215,229,266,312,353],"professional.":[84],"intrusion":[103],"detection":[104],"simulation":[105],"(IDS)":[106],"container":[125],"with":[126,208],"systems":[127],"connections":[129],"are":[130,206,226],"reproduction":[131],"everything":[132],"beacon":[133],"subject":[134],"series":[137,309],"actions":[139,311],"achieve":[141],"results":[142,221,314],"accepts":[143],"exists":[144],"a":[145,153,254],"contemporary":[146],"well-known":[147],"method.":[148],"At":[149,250],"indicated":[151,252],"motivation":[152,253],"hybrid":[154,255],"methodology":[155,256],"supported":[156,257],"pairing":[157,258],"distinct":[158,259],"ripple":[159,260],"transformation":[160,261],"human":[162,263],"intelligence":[163,264],"artificial":[164],"neural":[165],"network":[166],"(ANN)":[167],"projected.":[171,269],"lack":[173,271],"balance":[175,273],"situation":[178,276],"traversing":[179,277],"space":[181,279],"beyond":[182,280],"information":[183,281],"range":[184,282],"was":[185,283],"eliminated":[186,284],"through":[187,285],"synthetic":[188,286],"minority":[189,287],"oversampling":[190,192,288,290],"technique-based":[191,289],"have":[193,291],"low":[194,292,354],"object":[196,294],"irregular":[198,296],"dominant":[203,301],"object.":[204,302],"We":[205],"binding":[207],"three":[209],"layer":[210],"ANN":[211,265],"being":[213,227],"used":[214,228],"classification,":[216],"thus":[218],"experimental":[220],"knowledge":[223],"databases":[225],"facts":[231],"in":[232],"occurrence":[233],"accuracy":[235],"rate":[236],"disclosure":[238],"estimation":[239,352],"identical":[241],"period.":[242],"True":[243],"false":[245],"made":[246,360],"up":[247,361],"accepted.":[248],"Findings":[249],"Originality/value":[303],"Chain":[304],"interruption":[305],"knowing":[315],"familiarity":[317],"honor":[320],"associate":[322],"order,":[323],"scientific":[325],"undertaking":[327],"become":[328],"necessary.":[329],"issues":[332],"invasion":[334],"order":[338],"examine.":[342],"arrangement":[344],"simulations":[346],"occasion":[349],"under":[350],"aggression":[356],"above":[359],"feeling":[362],"sudden":[363],"panic":[364],"amount.":[365]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}