{"id":739885,"date":"2021-04-13T12:21:56","date_gmt":"2021-04-13T19:21:56","guid":{"rendered":"https:\/\/www.microsoft.com\/en-us\/research\/?post_type=msr-research-item&#038;p=739885"},"modified":"2021-04-13T12:21:56","modified_gmt":"2021-04-13T19:21:56","slug":"fastver-making-data-integrity-a-commodity","status":"publish","type":"msr-research-item","link":"https:\/\/www.microsoft.com\/en-us\/research\/publication\/fastver-making-data-integrity-a-commodity\/","title":{"rendered":"FastVer: Making Data Integrity a Commodity"},"content":{"rendered":"<p>We present FastVer, a high-performance key-value store with strong data integrity guarantees. FastVer is built as an extension of FASTER, an open-source, high-performance key-value store. It offers the same key-value API as FASTER plus an additional\u00a0<kbd>verify()<\/kbd>\u00a0method that detects if an unauthorized attacker tampered with the database and checks whether results of all read operations are consistent with historical updates. FastVer is based on a novel approach that combines the advantages of Merkle trees and deferred memory verification. We show that this approach achieves one to two orders of magnitudes higher throughputs than traditional approaches based on either Merkle trees or memory verification. We have formally proven the correctness of our approach in a proof assistant, ensuring that\u00a0<kbd>verify()<\/kbd>\u00a0detects any inconsistencies, except if a collision can be found on a cryptographic hash.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>We present FastVer, a high-performance key-value store with strong data integrity guarantees. FastVer is built as an extension of FASTER, an open-source, high-performance key-value store. It offers the same key-value API as FASTER plus an additional\u00a0verify()\u00a0method that detects if an unauthorized attacker tampered with the database and checks whether results of all read operations are [&hellip;]<\/p>\n","protected":false},"featured_media":0,"template":"","meta":{"msr-url-field":"","msr-podcast-episode":"","msrModifiedDate":"","msrModifiedDateEnabled":false,"ep_exclude_from_search":false,"_classifai_error":"","footnotes":""},"msr-content-type":[3],"msr-research-highlight":[],"research-area":[13563],"msr-publication-type":[193716],"msr-product-type":[],"msr-focus-area":[],"msr-platform":[],"msr-download-source":[],"msr-locale":[268875],"msr-post-option":[],"msr-field-of-study":[248884],"msr-conference":[],"msr-journal":[],"msr-impact-theme":[],"msr-pillar":[],"class_list":["post-739885","msr-research-item","type-msr-research-item","status-publish","hentry","msr-research-area-data-platform-analytics","msr-locale-en_us","msr-field-of-study-database"],"msr_publishername":"","msr_edition":"","msr_affiliation":"","msr_published_date":"2021-6-25","msr_host":"","msr_duration":"","msr_version":"","msr_speaker":"","msr_other_contributors":"","msr_booktitle":"","msr_pages_string":"","msr_chapter":"","msr_isbn":"","msr_journal":"","msr_volume":"","msr_number":"","msr_editors":"","msr_series":"","msr_issue":"","msr_organization":"ACM","msr_how_published":"","msr_notes":"","msr_highlight_text":"","msr_release_tracker_id":"","msr_original_fields_of_study":"","msr_download_urls":"","msr_external_url":"","msr_secondary_video_url":"","msr_longbiography":"","msr_microsoftintellectualproperty":1,"msr_main_download":"","msr_publicationurl":"","msr_doi":"","msr_publication_uploader":[{"type":"file","viewUrl":"https:\/\/www.microsoft.com\/en-us\/research\/uploads\/prod\/2021\/04\/fastver.pdf","id":"739906","title":"fastver","label_id":"243109","label":0}],"msr_related_uploader":"","msr_attachments":[{"id":739906,"url":"https:\/\/www.microsoft.com\/en-us\/research\/uploads\/prod\/2021\/04\/fastver.pdf"}],"msr-author-ordering":[{"type":"user_nicename","value":"Arvind Arasu","user_id":31106,"rest_url":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/microsoft-research\/v1\/researchers?person=Arvind Arasu"},{"type":"user_nicename","value":"Aseem Rastogi","user_id":36021,"rest_url":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/microsoft-research\/v1\/researchers?person=Aseem Rastogi"},{"type":"user_nicename","value":"Badrish Chandramouli","user_id":31166,"rest_url":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/microsoft-research\/v1\/researchers?person=Badrish Chandramouli"},{"type":"user_nicename","value":"Donald Kossmann","user_id":31664,"rest_url":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/microsoft-research\/v1\/researchers?person=Donald Kossmann"},{"type":"user_nicename","value":"Esha Ghosh","user_id":37851,"rest_url":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/microsoft-research\/v1\/researchers?person=Esha Ghosh"},{"type":"user_nicename","value":"Johannes Gehrke","user_id":32364,"rest_url":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/microsoft-research\/v1\/researchers?person=Johannes Gehrke"},{"type":"user_nicename","value":"Nikhil Swamy","user_id":33138,"rest_url":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/microsoft-research\/v1\/researchers?person=Nikhil Swamy"},{"type":"user_nicename","value":"Jonathan Protzenko","user_id":33286,"rest_url":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/microsoft-research\/v1\/researchers?person=Jonathan Protzenko"},{"type":"user_nicename","value":"Ravi Ramamurthy","user_id":33354,"rest_url":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/microsoft-research\/v1\/researchers?person=Ravi Ramamurthy"},{"type":"user_nicename","value":"Srinath Setty","user_id":33709,"rest_url":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/microsoft-research\/v1\/researchers?person=Srinath Setty"},{"type":"user_nicename","value":"Tahina Ramananandro","user_id":36293,"rest_url":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/microsoft-research\/v1\/researchers?person=Tahina Ramananandro"},{"type":"text","value":"Alexander van Renen","user_id":0,"rest_url":false},{"type":"text","value":"Min Xu","user_id":0,"rest_url":false}],"msr_impact_theme":[],"msr_research_lab":[199565],"msr_event":[],"msr_group":[144812,398567,957177],"msr_project":[907098],"publication":[],"video":[],"download":[],"msr_publication_type":"inproceedings","related_content":{"projects":[{"ID":907098,"post_title":"Zeta: Towards Zero-Trust Applications","post_name":"zeta-2","post_type":"msr-project","post_date":"2022-12-12 13:41:00","post_modified":"2023-01-16 13:33:13","post_status":"publish","permalink":"https:\/\/www.microsoft.com\/en-us\/research\/project\/zeta-2\/","post_excerpt":"A client using a cloud service today trusts the cloud provider to implement and run the service correctly. 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