{"id":"https://openalex.org/W2482081071","doi":"https://doi.org/10.1147/jrd.2016.2560558","title":"A platform and analytics for usage and entitlement analytics","display_name":"A platform and analytics for usage and entitlement analytics","publication_year":2016,"publication_date":"2016-07-01","ids":{"openalex":"https://openalex.org/W2482081071","doi":"https://doi.org/10.1147/jrd.2016.2560558","mag":"2482081071"},"language":"en","primary_location":{"id":"doi:10.1147/jrd.2016.2560558","is_oa":false,"landing_page_url":"https://doi.org/10.1147/jrd.2016.2560558","pdf_url":null,"source":{"id":"https://openalex.org/S4210219925","display_name":"IBM Journal of Research and Development","issn_l":"0018-8646","issn":["0018-8646","2151-8556"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320652","host_organization_name":"IBM","host_organization_lineage":["https://openalex.org/P4310320652"],"host_organization_lineage_names":["IBM"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IBM Journal of Research and Development","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/A5103703958","display_name":"Suresh N. Chari","orcid":null},"institutions":[{"id":"https://openalex.org/I4210114115","display_name":"IBM Research - Thomas J. Watson Research Center","ror":"https://ror.org/0265w5591","country_code":"US","type":"facility","lineage":["https://openalex.org/I1341412227","https://openalex.org/I4210114115"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"S. N. Chari","raw_affiliation_strings":["IBM Research Division, Thomas J. Watson Research Center, Yorktown Heights, NY, USA"],"affiliations":[{"raw_affiliation_string":"IBM Research Division, Thomas J. Watson Research Center, Yorktown Heights, NY, USA","institution_ids":["https://openalex.org/I4210114115"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5060432889","display_name":"Ted Habeck","orcid":null},"institutions":[{"id":"https://openalex.org/I4210114115","display_name":"IBM Research - Thomas J. Watson Research Center","ror":"https://ror.org/0265w5591","country_code":"US","type":"facility","lineage":["https://openalex.org/I1341412227","https://openalex.org/I4210114115"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"T. A. Habeck","raw_affiliation_strings":["IBM Research Division, Thomas J. Watson Research Center, Yorktown Heights, NY, USA"],"affiliations":[{"raw_affiliation_string":"IBM Research Division, Thomas J. Watson Research Center, Yorktown Heights, NY, USA","institution_ids":["https://openalex.org/I4210114115"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5040348286","display_name":"Ian Molloy","orcid":null},"institutions":[{"id":"https://openalex.org/I4210114115","display_name":"IBM Research - Thomas J. Watson Research Center","ror":"https://ror.org/0265w5591","country_code":"US","type":"facility","lineage":["https://openalex.org/I1341412227","https://openalex.org/I4210114115"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"I. Molloy","raw_affiliation_strings":["IBM Research Division, Thomas J. Watson Research Center, Yorktown Heights, NY, USA"],"affiliations":[{"raw_affiliation_string":"IBM Research Division, Thomas J. Watson Research Center, Yorktown Heights, NY, USA","institution_ids":["https://openalex.org/I4210114115"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5053948870","display_name":"Y. Park","orcid":null},"institutions":[{"id":"https://openalex.org/I4210114115","display_name":"IBM Research - Thomas J. Watson Research Center","ror":"https://ror.org/0265w5591","country_code":"US","type":"facility","lineage":["https://openalex.org/I1341412227","https://openalex.org/I4210114115"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Y. Park","raw_affiliation_strings":["IBM Research Division, Thomas J. Watson Research Center, Yorktown Heights, NY, USA"],"affiliations":[{"raw_affiliation_string":"IBM Research Division, Thomas J. Watson Research Center, Yorktown Heights, NY, USA","institution_ids":["https://openalex.org/I4210114115"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5110258544","display_name":"J. R. Rao","orcid":null},"institutions":[{"id":"https://openalex.org/I4210114115","display_name":"IBM Research - Thomas J. Watson Research Center","ror":"https://ror.org/0265w5591","country_code":"US","type":"facility","lineage":["https://openalex.org/I1341412227","https://openalex.org/I4210114115"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"J. R. Rao","raw_affiliation_strings":["IBM Research Division, Thomas J. Watson Research Center, Yorktown Heights, NY, USA"],"affiliations":[{"raw_affiliation_string":"IBM Research Division, Thomas J. Watson Research Center, Yorktown Heights, NY, USA","institution_ids":["https://openalex.org/I4210114115"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5061555792","display_name":"Wilfried Teiken","orcid":null},"institutions":[{"id":"https://openalex.org/I1291425158","display_name":"Google (United States)","ror":"https://ror.org/00njsd438","country_code":"US","type":"company","lineage":["https://openalex.org/I1291425158","https://openalex.org/I4210128969"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"W. Teiken","raw_affiliation_strings":["Google, New York, NY, USA"],"affiliations":[{"raw_affiliation_string":"Google, New York, NY, USA","institution_ids":["https://openalex.org/I1291425158"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5103703958"],"corresponding_institution_ids":["https://openalex.org/I4210114115"],"apc_list":null,"apc_paid":null,"fwci":0.5791,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.71189268,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":95},"biblio":{"volume":"60","issue":"4","first_page":"7:1","last_page":"7:12"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10400","display_name":"Network Security and Intrusion Detection","score":1.0,"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":1.0,"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/T11644","display_name":"Spam and Phishing Detection","score":0.9997000098228455,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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":0.9994999766349792,"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/analytics","display_name":"Analytics","score":0.7792575359344482},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7274417877197266},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.5632315874099731},{"id":"https://openalex.org/keywords/profiling","display_name":"Profiling (computer programming)","score":0.48640134930610657},{"id":"https://openalex.org/keywords/probabilistic-logic","display_name":"Probabilistic logic","score":0.45764416456222534},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.37329691648483276},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.35713234543800354},{"id":"https://openalex.org/keywords/operating-system","display_name":"Operating system","score":0.1805354356765747},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.1416928470134735}],"concepts":[{"id":"https://openalex.org/C79158427","wikidata":"https://www.wikidata.org/wiki/Q485396","display_name":"Analytics","level":2,"score":0.7792575359344482},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7274417877197266},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.5632315874099731},{"id":"https://openalex.org/C187191949","wikidata":"https://www.wikidata.org/wiki/Q1138496","display_name":"Profiling (computer programming)","level":2,"score":0.48640134930610657},{"id":"https://openalex.org/C49937458","wikidata":"https://www.wikidata.org/wiki/Q2599292","display_name":"Probabilistic logic","level":2,"score":0.45764416456222534},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.37329691648483276},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.35713234543800354},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.1805354356765747},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.1416928470134735}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1147/jrd.2016.2560558","is_oa":false,"landing_page_url":"https://doi.org/10.1147/jrd.2016.2560558","pdf_url":null,"source":{"id":"https://openalex.org/S4210219925","display_name":"IBM Journal of Research and Development","issn_l":"0018-8646","issn":["0018-8646","2151-8556"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320652","host_organization_name":"IBM","host_organization_lineage":["https://openalex.org/P4310320652"],"host_organization_lineage_names":["IBM"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IBM Journal of Research and Development","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/16","display_name":"Peace, Justice and strong institutions","score":0.7300000190734863}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":19,"referenced_works":["https://openalex.org/W1492581097","https://openalex.org/W1672660286","https://openalex.org/W1880262756","https://openalex.org/W1975960070","https://openalex.org/W1991895580","https://openalex.org/W1995976200","https://openalex.org/W2041404167","https://openalex.org/W2088970445","https://openalex.org/W2123840312","https://openalex.org/W2128552491","https://openalex.org/W2132870739","https://openalex.org/W2134237567","https://openalex.org/W2144858135","https://openalex.org/W2150847526","https://openalex.org/W2166602595","https://openalex.org/W2978725006","https://openalex.org/W3134410366","https://openalex.org/W6639619044","https://openalex.org/W6679231275"],"related_works":["https://openalex.org/W2161444195","https://openalex.org/W2589019771","https://openalex.org/W2985540061","https://openalex.org/W2185012154","https://openalex.org/W4252521128","https://openalex.org/W4287867321","https://openalex.org/W2911183501","https://openalex.org/W2104014222","https://openalex.org/W3006062179","https://openalex.org/W2494523064"],"abstract_inverted_index":{"As":[0],"illustrated":[1],"by":[2,33],"recent":[3],"high-profile":[4],"cases":[5],"such":[6,106],"as":[7,107],"WikiLeaks":[8],"and":[9,123,140],"Snowden,":[10],"information":[11],"exfiltration":[12],"is":[13,44],"one":[14],"of":[15,31,38,65,80,104,129,137,173],"the":[16,88],"key":[17],"motivations":[18],"for":[19],"cyber-attacks.":[20],"In":[21],"this":[22],"paper,":[23],"we":[24],"describe":[25],"our":[26,75,130,149],"approach":[27],"to":[28,51,60,74,86,92,110,147,151,169],"detect":[29],"misuse":[30],"authorizations":[32],"insiders":[34],"based":[35,45],"on":[36,46,101],"detection":[37,64],"anomalous":[39],"user":[40,54,81,138],"activity.":[41,95],"Our":[42,161],"system":[43,131],"novel":[47],"machine":[48],"learning":[49],"algorithms":[50],"build":[52],"multidimensional":[53],"profiles,":[55],"which":[56,83],"are":[57,77,84,164],"then":[58],"used":[59],"alert":[61],"administrators":[62],"upon":[63],"significant":[66],"deviation":[67],"in":[68,117,166],"a":[69,102,171],"user's":[70],"behavior.":[71],"Key":[72],"components":[73],"profiling":[76],"generative":[78],"models":[79,100,163],"activity,":[82,139],"intended":[85],"produce":[87,152],"best":[89],"probabilistic":[90],"model":[91],"explain":[93],"observed":[94],"We":[96],"have":[97,144],"deployed":[98],"these":[99],"range":[103],"applications":[105],"monitoring":[108],"access":[109],"source":[111],"code":[112],"repositories,":[113],"security":[114],"subsystem":[115],"activity":[116],"mainframe":[118],"systems,":[119],"web":[120],"application":[121],"logs,":[122],"other":[124],"proprietary":[125],"applications.":[126],"Extensive":[127],"testing":[128],"with":[132,155],"more":[133],"than":[134],"six":[135],"years":[136],"multiple":[141],"red-teaming":[142],"exercises":[143],"enabled":[145],"us":[146],"tune":[148],"analytics":[150],"accurate":[153],"results":[154],"very":[156],"low":[157],"false":[158],"positive":[159],"rates.":[160],"analytic":[162],"currently":[165],"use":[167],"today":[168],"monitor":[170],"number":[172],"sensitive":[174],"assets":[175],"within":[176],"IBM.":[177]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}