{"id":"https://openalex.org/W2012288029","doi":"https://doi.org/10.1145/2381896.2381902","title":"An information theoretic framework for web inference detection","display_name":"An information theoretic framework for web inference detection","publication_year":2012,"publication_date":"2012-10-19","ids":{"openalex":"https://openalex.org/W2012288029","doi":"https://doi.org/10.1145/2381896.2381902","mag":"2012288029"},"language":"en","primary_location":{"id":"doi:10.1145/2381896.2381902","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2381896.2381902","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 5th ACM workshop on Security and artificial intelligence","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/A5041224009","display_name":"Hoi Le Thi","orcid":null},"institutions":[{"id":"https://openalex.org/I168635309","display_name":"University of Calgary","ror":"https://ror.org/03yjb2x39","country_code":"CA","type":"education","lineage":["https://openalex.org/I168635309"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Hoi Le Thi","raw_affiliation_strings":["University of Calgary, Calgary, AB, Canada","University of Calgary; Calgary; AB; Canada"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Calgary, Calgary, AB, Canada","institution_ids":["https://openalex.org/I168635309"]},{"raw_affiliation_string":"University of Calgary; Calgary; AB; Canada","institution_ids":["https://openalex.org/I168635309"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5010447902","display_name":"Reihaneh Safavi\u2013Naini","orcid":"https://orcid.org/0000-0002-1697-3590"},"institutions":[{"id":"https://openalex.org/I168635309","display_name":"University of Calgary","ror":"https://ror.org/03yjb2x39","country_code":"CA","type":"education","lineage":["https://openalex.org/I168635309"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Reihaneh Safavi-Naini","raw_affiliation_strings":["University of Calgary, Calgary, AB, Canada","University of Calgary; Calgary; AB; Canada"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Calgary, Calgary, AB, Canada","institution_ids":["https://openalex.org/I168635309"]},{"raw_affiliation_string":"University of Calgary; Calgary; AB; Canada","institution_ids":["https://openalex.org/I168635309"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.8846,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.79124168,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"25","last_page":"36"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11598","display_name":"Internet Traffic Analysis and Secure E-voting","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"}},"topics":[{"id":"https://openalex.org/T11598","display_name":"Internet Traffic Analysis and Secure E-voting","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/T12034","display_name":"Digital and Cyber Forensics","score":0.9983999729156494,"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/T11644","display_name":"Spam and Phishing Detection","score":0.9983000159263611,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/redaction","display_name":"Redaction","score":0.9027426242828369},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.8211879730224609},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8037585616111755},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.5777724981307983},{"id":"https://openalex.org/keywords/rank","display_name":"Rank (graph theory)","score":0.518668532371521},{"id":"https://openalex.org/keywords/metric","display_name":"Metric (unit)","score":0.5122503638267517},{"id":"https://openalex.org/keywords/information-extraction","display_name":"Information extraction","score":0.49185681343078613},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.4734496772289276},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3732862174510956},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3447874188423157},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.33897000551223755},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.11255094408988953}],"concepts":[{"id":"https://openalex.org/C2776795254","wikidata":"https://www.wikidata.org/wiki/Q561071","display_name":"Redaction","level":2,"score":0.9027426242828369},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.8211879730224609},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8037585616111755},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.5777724981307983},{"id":"https://openalex.org/C164226766","wikidata":"https://www.wikidata.org/wiki/Q7293202","display_name":"Rank (graph theory)","level":2,"score":0.518668532371521},{"id":"https://openalex.org/C176217482","wikidata":"https://www.wikidata.org/wiki/Q860554","display_name":"Metric (unit)","level":2,"score":0.5122503638267517},{"id":"https://openalex.org/C195807954","wikidata":"https://www.wikidata.org/wiki/Q1662562","display_name":"Information extraction","level":2,"score":0.49185681343078613},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.4734496772289276},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3732862174510956},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3447874188423157},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.33897000551223755},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.11255094408988953},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0},{"id":"https://openalex.org/C124952713","wikidata":"https://www.wikidata.org/wiki/Q8242","display_name":"Literature","level":1,"score":0.0},{"id":"https://openalex.org/C21547014","wikidata":"https://www.wikidata.org/wiki/Q1423657","display_name":"Operations management","level":1,"score":0.0},{"id":"https://openalex.org/C142362112","wikidata":"https://www.wikidata.org/wiki/Q735","display_name":"Art","level":0,"score":0.0},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/2381896.2381902","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2381896.2381902","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 5th ACM workshop on Security and artificial intelligence","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Peace, Justice and strong institutions","id":"https://metadata.un.org/sdg/16","score":0.7099999785423279}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":18,"referenced_works":["https://openalex.org/W1553560206","https://openalex.org/W1937526984","https://openalex.org/W2007958303","https://openalex.org/W2010377326","https://openalex.org/W2036373663","https://openalex.org/W2040646162","https://openalex.org/W2043909599","https://openalex.org/W2058970046","https://openalex.org/W2073556086","https://openalex.org/W2104525816","https://openalex.org/W2119047901","https://openalex.org/W2129957578","https://openalex.org/W2132097505","https://openalex.org/W2147022450","https://openalex.org/W2152318637","https://openalex.org/W2159024459","https://openalex.org/W2166656775","https://openalex.org/W2182244750"],"related_works":["https://openalex.org/W3107474891","https://openalex.org/W2368651715","https://openalex.org/W1788528807","https://openalex.org/W1975174578","https://openalex.org/W104581431","https://openalex.org/W2725657302","https://openalex.org/W1561729373","https://openalex.org/W2393978999","https://openalex.org/W1621833664","https://openalex.org/W1548492051"],"abstract_inverted_index":{"Document":[0],"redaction":[1,15,32,64],"is":[2,28,38],"widely":[3],"used":[4,71],"to":[5,45,91,107],"protect":[6],"sensitive":[7,17,112,126],"information":[8,86],"in":[9,95,130],"published":[10],"documents.":[11],"In":[12],"a":[13,81,96,116],"basic":[14],"system,":[16],"and":[18,60,89,114,128,133],"identifying":[19],"terms":[20],"are":[21],"removed":[22,48],"from":[23],"the":[24,35,47,93,108,125],"document.":[25],"Web-based":[26,50],"inference":[27,51,70,101,135],"an":[29,54,131],"attack":[30],"on":[31,68,85],"systems":[33],"whereby":[34],"redacted":[36],"document":[37,77,97],"linked":[39],"with":[40],"other":[41],"publicly":[42],"available":[43],"documents":[44],"infer":[46],"parts.":[49],"also":[52],"provides":[53],"approach":[55],"for":[56,76,98],"detecting":[57],"unwanted":[58],"inferences":[59],"so":[61],"constructing":[62],"secure":[63],"systems.":[65],"Previous":[66],"works":[67],"web-based":[69],"general":[72],"keyword":[73],"extraction":[74],"methods":[75],"representation.":[78],"We":[79,103],"propose":[80,115],"systematic":[82],"approach,":[83],"based":[84],"theoretic":[87],"concepts":[88],"measures,":[90],"rank":[92],"words":[94,113,127],"purpose":[99],"of":[100,110,124],"detection.":[102],"extend":[104],"our":[105],"results":[106,129],"case":[109],"multiple":[111],"metric":[117],"that":[118],"takes":[119],"into":[120],"account":[121],"possible":[122],"relationship":[123],"effective":[132],"efficient":[134],"detection":[136],"system.":[137]},"counts_by_year":[{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":1},{"year":2015,"cited_by_count":1},{"year":2014,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
