PPT-Medical data: privacy, anonymity,

Author : pamella-moone | Published Date : 2016-04-24

and security What can we learn from the furore around the NHS data sharing plans caredata Dr Eerke Boiten Director Interdisciplinary Centre for Cyber Security

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Medical data: privacy, anonymity,: Transcript

and security What can we learn from the furore around the NHS data sharing plans caredata Dr Eerke Boiten Director Interdisciplinary Centre for Cyber Security University of Kent . Stevens Le Blond . David . Choffnes. . Wenxuan. Zhou. Peter . Druschel. . Hitesh . Ballani. . Paul Francis . 2. Snowden wants to communicate with Greenwald without Alexander to find out. Markulf Kohlweiss. Ueli. Maurer, . Cristina . Onete, . Björn Tackmann, . and . Daniele Venturi. PETS 2013. Context: . E. ncryption and Anonymity. Public-key encryption. Short but eventful history, late 70s, 80s.. -. Ayushi Jain & . ankur. . sachdeva. Motivation. Open nature of networks and unaccountability resulting from anonymity make existing systems prone to various attack. Introduction of trust and reputation based metrics help in enhancing the reliability of anonymity networks. Topic: Privacy in Location Based Services. Wonsang Song. Columbia University. Agenda. Introduction of LBS. Threats to location privacy. Privacy protection techniques. Conclusion. What is LBS?. Location service, location-aware service, location-based service. Dissertation Defense. George Corser. November 6, 2015. 1. Sections. 0. Preliminaries. 1. Introduction and Background. 2. Properties. 3. Metrics. 4. Random Rotation. 5. Endpoint Protection. 6. Privacy By Decoy . Why Share Data?. Hospitals share data with researchers. Learn about disease causes, promising treatments, correlations between symptoms and outcomes. Merchants share data with advertisers/researchers/public. Markulf Kohlweiss. Ueli. Maurer, . Cristina . Onete, . Björn Tackmann, . and . Daniele Venturi. PETS 2013. Context: . E. ncryption and Anonymity. Public-key encryption. Short but eventful history, late 70s, 80s.. Why Share Data?. Hospitals share data with researchers. Learn about disease causes, promising treatments, correlations between symptoms and outcomes. Merchants share data with advertisers/researchers/public. Prepared by: Eng. . Hiba. Ramadan. Supervised by: . Dr. . Rakan. . Razouk. . Outline. Introduction. key directions in the field of privacy-preserving data mining. Privacy-Preserving Data Publishing. https://datatracker.ietf.org/doc/draft-ietf-dhc-anonymity-profile. /. IETF 93, Prague, July 2015. 7/23/2015. DHCP Anonymity Profile -- IETF 93. 1. Prototype Implementation. Developed by Nick Grifka on test version of Windows 10 (not in the product yet). Undetectability. , . Unobservability. , Pseudonymity and Identity Management – A Consolidated Proposal for Terminology. Authors: Andreas . Pfitzmann. and . Marit. Hansen. Presented by: Murtuza Jadliwala. rights and obligations of individuals and organizations with respect to the collection, use, retention, disclosure, and destruction of personal information. .. This pertains to the . Privacy of Personal Information. George Danezis (. g.danezis@ucl.ac.uk. ). With help from:. Luca . Melis (. luca.melis.14@ucl.ac.uk. ). Steve . Dodier-Lazaro (. s.dodier-lazaro.12@ucl.ac.uk. ). Why anonymize data?. Raw data – use cases:. Date:. 2023-02-13. . Authors:. Amelia Andersdotter, Sky Group/Comcast. Name. Affiliation. Phone. Email. Amelia Andersdotter. Sky Group/Comcast. . +46764266862 . Amelia.ieee@andersdotter.cc. Abstract.

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