{"id":151928,"date":"2006-02-01T00:00:00","date_gmt":"2006-02-01T00:00:00","guid":{"rendered":"https:\/\/www.microsoft.com\/en-us\/research\/msr-research-item\/robust-incentives-via-multi-level-tit-for-tat\/"},"modified":"2018-10-16T19:56:46","modified_gmt":"2018-10-17T02:56:46","slug":"robust-incentives-via-multi-level-tit-for-tat","status":"publish","type":"msr-research-item","link":"https:\/\/www.microsoft.com\/en-us\/research\/publication\/robust-incentives-via-multi-level-tit-for-tat\/","title":{"rendered":"Robust Incentives via Multi-level Tit-for-tat"},"content":{"rendered":"<div class=\"asset-content\">\n<p>Much work has been done to address the need for incentive models in real deployed peertopeer networks. In this paper, we discuss problems found with the incentive model in a large, deployed peertopeer network, Maze. We evaluate several alternatives, and propose an incentive system that generates preferences for wellbehaved nodes while correctly punishing colluders. We discuss our proposal as a hybrid between TitforTat and EigenTrust, and show its effectiveness through simulation of real traces of theMaze system.<\/p>\n<\/div>\n<p><!-- .asset-content --><\/p>\n","protected":false},"excerpt":{"rendered":"<p>Much work has been done to address the need for incentive models in real deployed peertopeer networks. In this paper, we discuss problems found with the incentive model in a large, deployed peertopeer network, Maze. We evaluate several alternatives, and propose an incentive system that generates preferences for wellbehaved nodes while correctly punishing colluders. We [&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":[13547],"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":[],"msr-conference":[],"msr-journal":[],"msr-impact-theme":[],"msr-pillar":[],"class_list":["post-151928","msr-research-item","type-msr-research-item","status-publish","hentry","msr-research-area-systems-and-networking","msr-locale-en_us"],"msr_publishername":"","msr_edition":"","msr_affiliation":"","msr_published_date":"2006-02-01","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":"","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":"209162","msr_publicationurl":"","msr_doi":"","msr_publication_uploader":[{"type":"file","title":"lian-maze06.pdf","viewUrl":"https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2016\/02\/lian-maze06.pdf","id":209162,"label_id":0}],"msr_related_uploader":"","msr_attachments":[{"id":209162,"url":"https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2016\/02\/lian-maze06.pdf"}],"msr-author-ordering":[{"type":"text","value":"Qiao 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