{"id":"https://openalex.org/W2760355118","doi":"https://doi.org/10.1145/3128572.3140445","title":"Practical Machine Learning for Cloud Intrusion Detection","display_name":"Practical Machine Learning for Cloud Intrusion Detection","publication_year":2017,"publication_date":"2017-11-03","ids":{"openalex":"https://openalex.org/W2760355118","doi":"https://doi.org/10.1145/3128572.3140445","mag":"2760355118"},"language":"en","primary_location":{"id":"doi:10.1145/3128572.3140445","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3128572.3140445","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 10th ACM Workshop on Artificial Intelligence and Security","raw_type":"proceedings-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/A5045590794","display_name":"Ram Shankar Siva Kumar","orcid":null},"institutions":[{"id":"https://openalex.org/I1290206253","display_name":"Microsoft (United States)","ror":"https://ror.org/00d0nc645","country_code":"US","type":"company","lineage":["https://openalex.org/I1290206253"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Ram Shankar Siva Kumar","raw_affiliation_strings":["Microsoft, Redmond, WA, USA"],"affiliations":[{"raw_affiliation_string":"Microsoft, Redmond, WA, USA","institution_ids":["https://openalex.org/I1290206253"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5072574496","display_name":"Andrew Wicker","orcid":null},"institutions":[{"id":"https://openalex.org/I1290206253","display_name":"Microsoft (United States)","ror":"https://ror.org/00d0nc645","country_code":"US","type":"company","lineage":["https://openalex.org/I1290206253"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Andrew Wicker","raw_affiliation_strings":["Microsoft, Redmond, WA, USA"],"affiliations":[{"raw_affiliation_string":"Microsoft, Redmond, WA, USA","institution_ids":["https://openalex.org/I1290206253"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5082887027","display_name":"Matt Swann","orcid":null},"institutions":[{"id":"https://openalex.org/I1290206253","display_name":"Microsoft (United States)","ror":"https://ror.org/00d0nc645","country_code":"US","type":"company","lineage":["https://openalex.org/I1290206253"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Matt Swann","raw_affiliation_strings":["Microsoft, Redmond, WA, USA"],"affiliations":[{"raw_affiliation_string":"Microsoft, Redmond, WA, USA","institution_ids":["https://openalex.org/I1290206253"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5045590794"],"corresponding_institution_ids":["https://openalex.org/I1290206253"],"apc_list":null,"apc_paid":null,"fwci":3.5223,"has_fulltext":false,"cited_by_count":42,"citation_normalized_percentile":{"value":0.93761614,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"81","last_page":"90"},"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/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9994999766349792,"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"}},{"id":"https://openalex.org/T11241","display_name":"Advanced Malware Detection Techniques","score":0.996399998664856,"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/cloud-computing","display_name":"Cloud computing","score":0.8314167261123657},{"id":"https://openalex.org/keywords/operationalization","display_name":"Operationalization","score":0.7984329462051392},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7672216892242432},{"id":"https://openalex.org/keywords/anomaly-detection","display_name":"Anomaly detection","score":0.6606255769729614},{"id":"https://openalex.org/keywords/intrusion-detection-system","display_name":"Intrusion detection system","score":0.6575878262519836},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.5932252407073975},{"id":"https://openalex.org/keywords/cloud-computing-security","display_name":"Cloud computing security","score":0.5325115323066711},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.4709283709526062},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4422299861907959},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.43431955575942993},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3976544439792633},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.3810911178588867}],"concepts":[{"id":"https://openalex.org/C79974875","wikidata":"https://www.wikidata.org/wiki/Q483639","display_name":"Cloud computing","level":2,"score":0.8314167261123657},{"id":"https://openalex.org/C9354725","wikidata":"https://www.wikidata.org/wiki/Q286017","display_name":"Operationalization","level":2,"score":0.7984329462051392},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7672216892242432},{"id":"https://openalex.org/C739882","wikidata":"https://www.wikidata.org/wiki/Q3560506","display_name":"Anomaly detection","level":2,"score":0.6606255769729614},{"id":"https://openalex.org/C35525427","wikidata":"https://www.wikidata.org/wiki/Q745881","display_name":"Intrusion detection system","level":2,"score":0.6575878262519836},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.5932252407073975},{"id":"https://openalex.org/C184842701","wikidata":"https://www.wikidata.org/wiki/Q370563","display_name":"Cloud computing security","level":3,"score":0.5325115323066711},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.4709283709526062},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4422299861907959},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.43431955575942993},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3976544439792633},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.3810911178588867},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"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:10.1145/3128572.3140445","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3128572.3140445","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 10th ACM Workshop on Artificial Intelligence and Security","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/16","score":0.4300000071525574,"display_name":"Peace, Justice and strong institutions"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":24,"referenced_works":["https://openalex.org/W92973652","https://openalex.org/W1483650506","https://openalex.org/W1489073918","https://openalex.org/W1534477342","https://openalex.org/W1548101992","https://openalex.org/W1554085250","https://openalex.org/W1566480186","https://openalex.org/W1811726082","https://openalex.org/W1977970897","https://openalex.org/W1981276685","https://openalex.org/W1985987493","https://openalex.org/W2099471712","https://openalex.org/W2101109743","https://openalex.org/W2108598243","https://openalex.org/W2109426455","https://openalex.org/W2124563017","https://openalex.org/W2148143831","https://openalex.org/W2263253503","https://openalex.org/W2282821441","https://openalex.org/W2306526421","https://openalex.org/W2432142698","https://openalex.org/W2561675875","https://openalex.org/W2591788621","https://openalex.org/W4248837083"],"related_works":["https://openalex.org/W2944277854","https://openalex.org/W2258359646","https://openalex.org/W2493324121","https://openalex.org/W2483613126","https://openalex.org/W4234402960","https://openalex.org/W4210958110","https://openalex.org/W4210994448","https://openalex.org/W4386824558","https://openalex.org/W204135935","https://openalex.org/W4283314094"],"abstract_inverted_index":{"Operationalizing":[0],"machine":[1,101],"learning":[2,102],"based":[3,103],"security":[4,29,81,104],"detections":[5,105],"is":[6],"extremely":[7],"challenging,":[8],"especially":[9],"in":[10,31,79,106],"a":[11,45,76,107],"continuously":[12],"evolving":[13],"cloud":[14,108],"environment.":[15],"Conventional":[16],"anomaly":[17],"detection":[18],"does":[19],"not":[20],"produce":[21],"satisfactory":[22],"results":[23],"for":[24],"analysts":[25],"that":[26],"are":[27],"investigating":[28],"incidents":[30],"the":[32,70,80,90,97],"cloud.":[33],"Model":[34],"evaluation":[35],"alone":[36],"presents":[37],"its":[38],"own":[39],"set":[40],"of":[41,47,72,100],"problems":[42],"due":[43],"to":[44],"lack":[46],"benchmark":[48],"datasets.":[49],"When":[50],"deploying":[51],"these":[52],"detections,":[53],"we":[54,88,116],"must":[55],"deal":[56],"with":[57],"model":[58],"compliance,":[59],"localization,":[60],"and":[61,93,110],"data":[62,82],"silo":[63],"issues,":[64],"among":[65],"many":[66],"others.":[67],"We":[68],"pose":[69],"problem":[71],"\"attack":[73],"disruption\"":[74],"as":[75],"way":[77],"forward":[78],"science":[83],"space.":[84],"In":[85],"this":[86],"paper,":[87],"describe":[89],"framework,":[91],"challenges,":[92],"open":[94],"questions":[95],"surrounding":[96],"successful":[98],"operationalization":[99],"environment":[109],"provide":[111],"some":[112],"insights":[113],"on":[114],"how":[115],"have":[117],"addressed":[118],"them.":[119]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":8},{"year":2022,"cited_by_count":6},{"year":2021,"cited_by_count":6},{"year":2020,"cited_by_count":11},{"year":2019,"cited_by_count":2},{"year":2018,"cited_by_count":4}],"updated_date":"2026-01-13T01:12:25.745995","created_date":"2025-10-10T00:00:00"}
