{"id":"https://openalex.org/W2121187544","doi":"https://doi.org/10.1145/2390231.2390249","title":"Act for affordable data care","display_name":"Act for affordable data care","publication_year":2012,"publication_date":"2012-10-29","ids":{"openalex":"https://openalex.org/W2121187544","doi":"https://doi.org/10.1145/2390231.2390249","mag":"2121187544"},"language":"en","primary_location":{"id":"doi:10.1145/2390231.2390249","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2390231.2390249","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 11th ACM Workshop on Hot Topics in Networks","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/A5049404285","display_name":"Saikat Guha","orcid":"https://orcid.org/0000-0002-2581-4380"},"institutions":[{"id":"https://openalex.org/I4210124949","display_name":"Microsoft Research (India)","ror":"https://ror.org/02w7f3w92","country_code":"IN","type":"company","lineage":["https://openalex.org/I1290206253","https://openalex.org/I4210124949"]},{"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":["IN","US"],"is_corresponding":true,"raw_author_name":"Saikat Guha","raw_affiliation_strings":["Microsoft Research, India","Microsoft Research India#TAB#"],"affiliations":[{"raw_affiliation_string":"Microsoft Research, India","institution_ids":["https://openalex.org/I4210124949"]},{"raw_affiliation_string":"Microsoft Research India#TAB#","institution_ids":["https://openalex.org/I1290206253"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5023881736","display_name":"Srikanth Kandula","orcid":"https://orcid.org/0000-0001-9494-6435"},"institutions":[{"id":"https://openalex.org/I4210164937","display_name":"Microsoft Research (United Kingdom)","ror":"https://ror.org/05k87vq12","country_code":"GB","type":"company","lineage":["https://openalex.org/I1290206253","https://openalex.org/I4210164937"]},{"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":["GB","US"],"is_corresponding":false,"raw_author_name":"Srikanth Kandula","raw_affiliation_strings":["Microsoft Research, Redmond","Microsoft Research (Redmond)#TAB#"],"affiliations":[{"raw_affiliation_string":"Microsoft Research, Redmond","institution_ids":["https://openalex.org/I4210164937"]},{"raw_affiliation_string":"Microsoft Research (Redmond)#TAB#","institution_ids":["https://openalex.org/I1290206253"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5049404285"],"corresponding_institution_ids":["https://openalex.org/I1290206253","https://openalex.org/I4210124949"],"apc_list":null,"apc_paid":null,"fwci":0.4281,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.73098416,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"103","last_page":"108"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10764","display_name":"Privacy-Preserving Technologies in Data","score":0.9998999834060669,"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/T10764","display_name":"Privacy-Preserving Technologies in Data","score":0.9998999834060669,"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/T10237","display_name":"Cryptography and Data Security","score":0.9993000030517578,"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/T10927","display_name":"Access Control and Trust","score":0.9984999895095825,"subfield":{"id":"https://openalex.org/subfields/3312","display_name":"Sociology and Political Science"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/data-breach","display_name":"Data breach","score":0.8685677647590637},{"id":"https://openalex.org/keywords/identity-theft","display_name":"Identity theft","score":0.8550618290901184},{"id":"https://openalex.org/keywords/compromise","display_name":"Compromise","score":0.6802005767822266},{"id":"https://openalex.org/keywords/internet-privacy","display_name":"Internet privacy","score":0.6726320385932922},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.6355054378509521},{"id":"https://openalex.org/keywords/business","display_name":"Business","score":0.6248724460601807},{"id":"https://openalex.org/keywords/malware","display_name":"Malware","score":0.5923382639884949},{"id":"https://openalex.org/keywords/reputation","display_name":"Reputation","score":0.5623102784156799},{"id":"https://openalex.org/keywords/data-security","display_name":"Data security","score":0.4432179629802704},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.36874884366989136},{"id":"https://openalex.org/keywords/encryption","display_name":"Encryption","score":0.0925237238407135}],"concepts":[{"id":"https://openalex.org/C165609540","wikidata":"https://www.wikidata.org/wiki/Q1172486","display_name":"Data breach","level":2,"score":0.8685677647590637},{"id":"https://openalex.org/C522325796","wikidata":"https://www.wikidata.org/wiki/Q471880","display_name":"Identity theft","level":2,"score":0.8550618290901184},{"id":"https://openalex.org/C46355384","wikidata":"https://www.wikidata.org/wiki/Q726686","display_name":"Compromise","level":2,"score":0.6802005767822266},{"id":"https://openalex.org/C108827166","wikidata":"https://www.wikidata.org/wiki/Q175975","display_name":"Internet privacy","level":1,"score":0.6726320385932922},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.6355054378509521},{"id":"https://openalex.org/C144133560","wikidata":"https://www.wikidata.org/wiki/Q4830453","display_name":"Business","level":0,"score":0.6248724460601807},{"id":"https://openalex.org/C541664917","wikidata":"https://www.wikidata.org/wiki/Q14001","display_name":"Malware","level":2,"score":0.5923382639884949},{"id":"https://openalex.org/C48798503","wikidata":"https://www.wikidata.org/wiki/Q877546","display_name":"Reputation","level":2,"score":0.5623102784156799},{"id":"https://openalex.org/C10511746","wikidata":"https://www.wikidata.org/wiki/Q899388","display_name":"Data security","level":3,"score":0.4432179629802704},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.36874884366989136},{"id":"https://openalex.org/C148730421","wikidata":"https://www.wikidata.org/wiki/Q141090","display_name":"Encryption","level":2,"score":0.0925237238407135},{"id":"https://openalex.org/C36289849","wikidata":"https://www.wikidata.org/wiki/Q34749","display_name":"Social science","level":1,"score":0.0},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/2390231.2390249","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2390231.2390249","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 11th ACM Workshop on Hot Topics in Networks","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/16","display_name":"Peace, Justice and strong institutions","score":0.75}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":12,"referenced_works":["https://openalex.org/W1504694836","https://openalex.org/W1574052451","https://openalex.org/W1577921908","https://openalex.org/W1815999684","https://openalex.org/W1998788264","https://openalex.org/W2012015562","https://openalex.org/W2116648071","https://openalex.org/W2132369486","https://openalex.org/W2146707221","https://openalex.org/W2157800990","https://openalex.org/W3122698507","https://openalex.org/W3125518450"],"related_works":["https://openalex.org/W1885384230","https://openalex.org/W4306970088","https://openalex.org/W4235239127","https://openalex.org/W2322673779","https://openalex.org/W3038348450","https://openalex.org/W2401214473","https://openalex.org/W3121385630","https://openalex.org/W4381516542","https://openalex.org/W2951002642","https://openalex.org/W1983822103"],"abstract_inverted_index":{"Data":[0],"breaches,":[1],"e.g.":[2],"malware,":[3],"network":[4],"intrusions,":[5],"or":[6],"physical":[7],"theft,":[8],"that":[9,56,69,101],"lead":[10],"to":[11,27,88,103],"the":[12,59,83,105],"compromise":[13],"of":[14,30],"users'":[15],"personal":[16],"data,":[17],"happen":[18],"often.":[19],"The":[20],"impacted":[21],"companies":[22],"lose":[23],"reputation":[24],"and":[25,37,47,65,82],"have":[26],"spend":[28],"millions":[29],"dollars":[31],"providing":[32],"affected":[33],"users":[34],"with":[35],"identity":[36,48],"credit":[38],"monitoring":[39],"services.":[40],"Users":[41],"can":[42],"suffer":[43],"from":[44,61,97],"fraudulent":[45],"transactions":[46],"theft.":[49],"At":[50],"present,":[51],"there":[52],"are":[53],"no":[54],"mechanisms":[55],"both":[57],"cover":[58],"risk":[60,85],"accidental":[62],"data":[63,78],"breaches":[64],"incentivise":[66],"best":[67],"practices":[68],"would":[70],"prevent":[71],"such":[72],"breaches.":[73],"This":[74],"paper":[75],"proposes":[76],"a":[77],"breach":[79],"insurance":[80],"mechanism":[81],"associated":[84],"assessment":[86],"technology":[87],"meet":[89],"these":[90],"goals.":[91],"In":[92],"so":[93],"doing,":[94],"we":[95],"break":[96],"(failed)":[98],"past":[99],"approaches":[100],"seek":[102],"solve":[104],"problem":[106],"solely":[107],"through":[108],"technology.":[109]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2019,"cited_by_count":1},{"year":2013,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}