{"id":"https://openalex.org/W2601954965","doi":"https://doi.org/10.1145/3041008.3041018","title":"Feature Cultivation in Privileged Information-augmented Detection","display_name":"Feature Cultivation in Privileged Information-augmented Detection","publication_year":2017,"publication_date":"2017-03-24","ids":{"openalex":"https://openalex.org/W2601954965","doi":"https://doi.org/10.1145/3041008.3041018","mag":"2601954965"},"language":"en","primary_location":{"id":"doi:10.1145/3041008.3041018","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3041008.3041018","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 3rd ACM on International Workshop on Security And Privacy Analytics","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":null,"display_name":"Z. Berkay Celik","orcid":null},"institutions":[{"id":"https://openalex.org/I130769515","display_name":"Pennsylvania State University","ror":"https://ror.org/04p491231","country_code":"US","type":"education","lineage":["https://openalex.org/I130769515"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Z. Berkay Celik","raw_affiliation_strings":["Penn State University, University Park, PA, USA"],"affiliations":[{"raw_affiliation_string":"Penn State University, University Park, PA, USA","institution_ids":["https://openalex.org/I130769515"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5055368149","display_name":"Patrick McDaniel","orcid":"https://orcid.org/0000-0003-2091-7484"},"institutions":[{"id":"https://openalex.org/I130769515","display_name":"Pennsylvania State University","ror":"https://ror.org/04p491231","country_code":"US","type":"education","lineage":["https://openalex.org/I130769515"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Patrick McDaniel","raw_affiliation_strings":["Penn State University, University Park, PA, USA"],"affiliations":[{"raw_affiliation_string":"Penn State University, University Park, PA, USA","institution_ids":["https://openalex.org/I130769515"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5078482977","display_name":"Rauf Izmailov","orcid":"https://orcid.org/0000-0002-7326-669X"},"institutions":[{"id":"https://openalex.org/I2802279603","display_name":"Vencore (United States)","ror":"https://ror.org/00sjx7d61","country_code":"US","type":"company","lineage":["https://openalex.org/I2802279603"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Rauf Izmailov","raw_affiliation_strings":["Vencore Labs, Basking Ridge, NJ, USA"],"affiliations":[{"raw_affiliation_string":"Vencore Labs, Basking Ridge, NJ, USA","institution_ids":["https://openalex.org/I2802279603"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I130769515"],"apc_list":null,"apc_paid":null,"fwci":0.9328,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.74492576,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"73","last_page":"80"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11241","display_name":"Advanced Malware Detection Techniques","score":0.9998000264167786,"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"}},"topics":[{"id":"https://openalex.org/T11241","display_name":"Advanced Malware Detection Techniques","score":0.9998000264167786,"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/T10400","display_name":"Network Security and Intrusion Detection","score":0.9997000098228455,"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":0.9997000098228455,"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":0.8200353384017944},{"id":"https://openalex.org/keywords/malware","display_name":"Malware","score":0.6177245378494263},{"id":"https://openalex.org/keywords/leverage","display_name":"Leverage (statistics)","score":0.5697806477546692},{"id":"https://openalex.org/keywords/software-deployment","display_name":"Software deployment","score":0.5581856369972229},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.49920058250427246},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.45250049233436584},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.428857684135437},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.41394510865211487},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.23726031184196472}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8200353384017944},{"id":"https://openalex.org/C541664917","wikidata":"https://www.wikidata.org/wiki/Q14001","display_name":"Malware","level":2,"score":0.6177245378494263},{"id":"https://openalex.org/C153083717","wikidata":"https://www.wikidata.org/wiki/Q6535263","display_name":"Leverage (statistics)","level":2,"score":0.5697806477546692},{"id":"https://openalex.org/C105339364","wikidata":"https://www.wikidata.org/wiki/Q2297740","display_name":"Software deployment","level":2,"score":0.5581856369972229},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.49920058250427246},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.45250049233436584},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.428857684135437},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.41394510865211487},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.23726031184196472},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"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/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3041008.3041018","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3041008.3041018","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 3rd ACM on International Workshop on Security And Privacy Analytics","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G2043895709","display_name":null,"funder_award_id":"W911NF-13-2-0045","funder_id":"https://openalex.org/F4320338295","funder_display_name":"Army Research Laboratory"}],"funders":[{"id":"https://openalex.org/F4320338295","display_name":"Army Research Laboratory","ror":"https://ror.org/011hc8f90"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":28,"referenced_works":["https://openalex.org/W4952878","https://openalex.org/W1506806321","https://openalex.org/W1507388815","https://openalex.org/W1561983441","https://openalex.org/W1661871015","https://openalex.org/W1663973292","https://openalex.org/W1898896628","https://openalex.org/W1954903228","https://openalex.org/W1990089904","https://openalex.org/W2003206343","https://openalex.org/W2048997388","https://openalex.org/W2050855115","https://openalex.org/W2067562626","https://openalex.org/W2094557839","https://openalex.org/W2108142795","https://openalex.org/W2124808847","https://openalex.org/W2126942721","https://openalex.org/W2136495567","https://openalex.org/W2148939588","https://openalex.org/W2171072927","https://openalex.org/W2173379916","https://openalex.org/W2200832203","https://openalex.org/W2253986341","https://openalex.org/W2267635142","https://openalex.org/W2406037958","https://openalex.org/W2549580071","https://openalex.org/W2963222948","https://openalex.org/W4237961478"],"related_works":["https://openalex.org/W2770234245","https://openalex.org/W2097492617","https://openalex.org/W96612179","https://openalex.org/W4229499248","https://openalex.org/W2566006169","https://openalex.org/W2753240997","https://openalex.org/W1764168690","https://openalex.org/W2537959205","https://openalex.org/W1567818861","https://openalex.org/W2987774938"],"abstract_inverted_index":{"Modern":[0],"detection":[1,56,80,104,153,193,207,227,232],"systems":[2,16,105],"use":[3,215],"sensor":[4,37],"outputs":[5,38],"available":[6,94,140],"in":[7,63,226],"the":[8,42,48,87,178,183,192,198,205],"deployment":[9],"environment":[10],"to":[11,25,41,44,55,60,69,85,122,165,220,222],"probabilistically":[12],"identify":[13,45],"attacks.":[14],"These":[15],"are":[17,39,117],"trained":[18],"on":[19,71,191],"past":[20,96],"or":[21,31,119],"synthetic":[22],"feature":[23],"vectors":[24],"create":[26],"a":[27,234],"model":[28,43,131,166,174],"of":[29,50,91,152,162,180,185,201,216],"anomalous":[30],"normal":[32],"behavior.":[33],"Thereafter,":[34],"run-time":[35],"collected":[36,78],"compared":[40],"attacks":[46],"(or":[47],"lack":[49],"attack).":[51],"While":[52],"this":[53,156],"approach":[54,133],"has":[57],"been":[58],"proven":[59],"be":[61,76],"effective":[62],"many":[64],"environments,":[65],"it":[66],"is":[67],"limited":[68],"training":[70,142,167],"only":[72],"features":[73,115,203],"that":[74,116,134,197,214],"can":[75],"reliably":[77,139],"at":[79,124,141,146],"time.":[81],"Hence,":[82],"they":[83],"fail":[84],"leverage":[86],"often":[88],"vast":[89],"amount":[90],"ancillary":[92],"information":[93,218],"from":[95],"forensic":[97,136],"analysis":[98],"and":[99,150,173,188,240],"post-mortem":[100],"data.":[101],"In":[102,155],"short,":[103],"do":[106,111],"not":[107,112,145],"train":[108],"(and":[109],"thus":[110],"learn":[113],"from)":[114],"unavailable":[118],"too":[120],"costly":[121],"collect":[123],"run-time.":[125],"Recent":[126],"work":[127],"proposed":[128,163],"an":[129],"alternate":[130],"construction":[132],"integrates":[135],"\"privilege\"":[137],"information---features":[138],"time,":[143],"but":[144],"run-time---to":[147],"improve":[148],"accuracy":[149],"resilience":[151],"systems.":[154],"paper,":[157],"we":[158],"further":[159],"evaluate":[160],"two":[161],"techniques":[164],"with":[168,236],"privileged":[169,181,202,217,238],"information:":[170],"knowledge":[171],"transfer,":[172],"influence.":[175],"We":[176,195],"explore":[177],"cultivation":[179],"features,":[182],"efficiency":[184],"those":[186],"processes":[187],"their":[189],"influence":[190],"accuracy.":[194],"observe":[196],"improved":[199],"integration":[200],"makes":[204],"resulting":[206],"models":[208],"more":[209],"accurate.":[210],"Our":[211],"evaluation":[212],"shows":[213],"leads":[219],"up":[221],"8.2%":[223],"relative":[224],"decrease":[225],"error":[228],"for":[229,242],"fast-flux":[230],"bot":[231],"over":[233],"system":[235],"no":[237],"information,":[239],"5.5%":[241],"malware":[243],"classification.":[244]},"counts_by_year":[{"year":2018,"cited_by_count":3},{"year":2017,"cited_by_count":2},{"year":2016,"cited_by_count":1}],"updated_date":"2026-04-16T08:26:57.006410","created_date":"2025-10-10T00:00:00"}