Bunker is a network tracing system that offers strong privacy while simplifying the development of network tracing software. With Bunker, network operators can perform network tracing based on the following two-step usage model:<\/p>\n
With Bunker, all sensitive data is stored in a buffer on disk that is “locked down” along with the tracing software. In this way, no raw data can be lost, leaked, or stolen.<\/p>\n
The locked down buffer is encrypted with a key stored in Bunker’s RAM. Bunker uses virtualization, encryption, and restricted I\/O interfaces to protect the key and the tracing software, exporting only an anonymized trace. For more information about Bunker’s architecture and a performance evaluation, please read our research papers.<\/p>\n
To download Bunker’s source code and instructions on how to install it, please visit the Bunker project page (opens in new tab)<\/span><\/a>hosted at the University of Toronto.<\/p>\n","protected":false},"excerpt":{"rendered":" Bunker is a network tracing system that offers strong privacy while simplifying the development of network tracing software. With Bunker, network operators can perform network tracing based on the following two-step usage model: Pre-load Bunker with the trace collection and anonymization software. Start data collection with Bunker. With Bunker, all sensitive data is stored in […]<\/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":""},"research-area":[13547],"msr-locale":[268875],"msr-impact-theme":[],"msr-pillar":[],"class_list":["post-170532","msr-project","type-msr-project","status-publish","hentry","msr-research-area-systems-and-networking","msr-locale-en_us","msr-archive-status-active"],"msr_project_start":"2010-08-17","related-publications":[160032],"related-downloads":[],"related-videos":[],"related-groups":[144899],"related-events":[],"related-opportunities":[],"related-posts":[],"related-articles":[],"tab-content":[],"slides":[],"related-researchers":[{"type":"user_nicename","value":"alecw","display_name":"Alec Wolman","author_link":"Alec Wolman<\/a>","is_active":false,"user_id":30925,"last_first":"Wolman, Alec","people_section":0,"alias":"alecw"},{"type":"user_nicename","value":"ssaroiu","display_name":"Stefan Saroiu","author_link":"Stefan Saroiu<\/a>","is_active":false,"user_id":33716,"last_first":"Saroiu, Stefan","people_section":0,"alias":"ssaroiu"}],"msr_research_lab":[199565],"msr_impact_theme":[],"_links":{"self":[{"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-project\/170532","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-project"}],"about":[{"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/types\/msr-project"}],"version-history":[{"count":0,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-project\/170532\/revisions"}],"wp:attachment":[{"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/media?parent=170532"}],"wp:term":[{"taxonomy":"msr-research-area","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/research-area?post=170532"},{"taxonomy":"msr-locale","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-locale?post=170532"},{"taxonomy":"msr-impact-theme","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-impact-theme?post=170532"},{"taxonomy":"msr-pillar","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-pillar?post=170532"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}