{"id":"https://openalex.org/W7119003364","doi":"https://doi.org/10.65301/iitm.2021.12.1.487","title":"Review Paper on Intrusion Detection Using Machine Learning","display_name":"Review Paper on Intrusion Detection Using Machine Learning","publication_year":2021,"publication_date":"2021-01-30","ids":{"openalex":"https://openalex.org/W7119003364","doi":"https://doi.org/10.65301/iitm.2021.12.1.487"},"language":"en","primary_location":{"id":"doi:10.65301/iitm.2021.12.1.487","doi":"https://doi.org/10.65301/iitm.2021.12.1.487","is_oa":true,"landing_page_url":"https://doi.org/10.65301/iitm.2021.12.1.487","pdf_url":null,"source":{"id":"https://openalex.org/S5407053949","display_name":"IITM Journal of Management and IT","issn_l":"0976-8629","issn":["0976-8629","2349-9826"],"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IITM Journal of Management and IT","raw_type":"journal-article"},"volume":null,"type":"article","is_traditional":true,"indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://doi.org/10.65301/iitm.2021.12.1.487","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5122200910","display_name":"Vinay Singh Dhapola","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Vinay Singh Dhapola","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5126428752","display_name":"C. Umarani","orcid":"https://orcid.org/0000-0002-9008-3350","observed_orcids":["https://orcid.org/0000-0002-9008-3350"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"C. Umarani","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.0,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"73","last_page":"74"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10400","display_name":"Network Security and Intrusion Detection","score":0.9994999766349792,"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":0.9994999766349792,"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/T12326","display_name":"Network Packet Processing and Optimization","score":0.00019999999494757503,"subfield":{"id":"https://openalex.org/subfields/1708","display_name":"Hardware and Architecture"},"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/T12391","display_name":"Artificial Immune Systems Applications","score":0.00019999999494757503,"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/intrusion-detection","display_name":"intrusion detection","score":0.9620000123977661},{"id":"https://openalex.org/keywords/intrusion-detection-systems","display_name":"intrusion detection systems","score":0.9470000267028809},{"id":"https://openalex.org/keywords/network-security","display_name":"network security","score":0.8629999756813049},{"id":"https://openalex.org/keywords/machine-learning","display_name":"machine learning","score":0.6600000262260437},{"id":"https://openalex.org/keywords/anomaly-detection","display_name":"anomaly detection","score":0.6589999794960022},{"id":"https://openalex.org/keywords/rule-based-detection","display_name":"rule-based detection","score":0.8349999785423279},{"id":"https://openalex.org/keywords/unauthorized-access","display_name":"unauthorized access","score":0.5189999938011169}],"concepts":[{"id":"https://openalex.org/C35525427","wikidata":"https://www.wikidata.org/wiki/Q745881","display_name":"Intrusion detection system","level":2,"score":0.7281000018119812},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7239000201225281},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6025000214576721},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5533999800682068},{"id":"https://openalex.org/C158251709","wikidata":"https://www.wikidata.org/wiki/Q354025","display_name":"Intrusion","level":2,"score":0.5428000092506409},{"id":"https://openalex.org/C168167062","wikidata":"https://www.wikidata.org/wiki/Q1117970","display_name":"Component (thermodynamics)","level":2,"score":0.5310999751091003},{"id":"https://openalex.org/C28719098","wikidata":"https://www.wikidata.org/wiki/Q44946","display_name":"Point (geometry)","level":2,"score":0.5091000199317932},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.43299999833106995},{"id":"https://openalex.org/C137524506","wikidata":"https://www.wikidata.org/wiki/Q2247688","display_name":"Anomaly-based intrusion detection system","level":3,"score":0.37380000948905945},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.3547999858856201},{"id":"https://openalex.org/C27061796","wikidata":"https://www.wikidata.org/wiki/Q745881","display_name":"Intrusion prevention system","level":3,"score":0.3531000018119812},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3206999897956848},{"id":"https://openalex.org/C58328972","wikidata":"https://www.wikidata.org/wiki/Q184609","display_name":"Expert system","level":2,"score":0.2906999886035919},{"id":"https://openalex.org/C51632099","wikidata":"https://www.wikidata.org/wiki/Q3985153","display_name":"Training set","level":2,"score":0.26600000262260437},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.25360000133514404}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.65301/iitm.2021.12.1.487","doi":"https://doi.org/10.65301/iitm.2021.12.1.487","is_oa":true,"landing_page_url":"https://doi.org/10.65301/iitm.2021.12.1.487","pdf_url":null,"source":{"id":"https://openalex.org/S5407053949","display_name":"IITM Journal of Management and IT","issn_l":"0976-8629","issn":["0976-8629","2349-9826"],"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IITM Journal of Management and IT","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.65301/iitm.2021.12.1.487","doi":"https://doi.org/10.65301/iitm.2021.12.1.487","is_oa":true,"landing_page_url":"https://doi.org/10.65301/iitm.2021.12.1.487","pdf_url":null,"source":{"id":"https://openalex.org/S5407053949","display_name":"IITM Journal of Management and IT","issn_l":"0976-8629","issn":["0976-8629","2349-9826"],"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IITM Journal of Management and IT","raw_type":"journal-article"},"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W3002719891","https://openalex.org/W7217348949","https://openalex.org/W4379209259","https://openalex.org/W4405135745","https://openalex.org/W3198227778","https://openalex.org/W3109446773","https://openalex.org/W7010614724","https://openalex.org/W2902461172","https://openalex.org/W4405644719","https://openalex.org/W2913600181"],"abstract_inverted_index":{"Attacks":[0],"on":[1],"computers":[2],"and":[3,10,21,26,39,53,62,72],"data":[4],"networks":[5,25],"have":[6],"become":[7,28],"a":[8,33],"regular":[9],"sophisticated":[11],"issue.":[12],"Interruption":[13],"location":[14],"has":[15,20,27],"moved":[16],"its":[17],"consideration":[18],"from":[19],"working":[22],"frameworks":[23,59],"to":[24,31,41,50,76],"an":[29],"approach":[30],"give":[32],"suspicion":[34],"that":[35],"all":[36],"is":[37,49,86],"well":[38],"good":[40],"these":[42],"organizations.":[43],"The":[44],"point":[45],"of":[46,56,82],"interruption":[47],"recognition":[48],"distinguish":[51],"abuse":[52,74],"unapproved":[54],"utilization":[55],"the":[57,80,83,90,93],"PC":[58],"by":[60],"interior":[61],"outer":[63],"components.":[64],"Regularly,":[65],"Intrusion":[66],"Detection":[67],"Systems":[68],"permit":[69],"factual":[70],"peculiarity":[71],"rule-based":[73],"models":[75],"recognize":[77],"interruptions":[78],"as":[79,88,92],"conduct":[81],"interfering":[84],"component":[85],"viewed":[87],"not":[89],"same":[91],"approved":[94],"client":[95],"conduct.":[96]},"counts_by_year":[],"updated_date":"2026-10-28T10:33:24.094632","created_date":"2026-01-08T00:00:00"}