'Location privacy' presentation slideshows

Privacy-Preserving Location Services

Privacy-Preserving Location Services. Mohamed F. Mokbel mokbel@cs.umn.edu Department of Computer Science and Engineering University of Minnesota. Tutorial Outline. PART I: Privacy Concerns of location-based Services PART II: Realizing Location Privacy in Mobile Environments

1.81k views • 143 slides

Entrepreneurship for GW Engineers : Lean Startup & Business Model Canvas

Entrepreneurship for GW Engineers : Lean Startup & Business Model Canvas. Jim Chung Executive Director Entrepreneurship and Tech Transfer November 15, 2013 SEAS 1001 Class. The Entrepreneurship Choice. How many of you have thought about being an entrepreneur?. Why Not Entrepreneurship?.

845 views • 52 slides

Information-Flow Control for Location-based Services

Information-Flow Control for Location-based Services. Nishkam Ravi Joint work with Marco Gruteser*, Liviu Iftode Computer Science, *Winlab, Rutgers University. Motivation. Personal data commonly used in internet-based computing Social security number Credit card information

680 views • 50 slides

Preserving User Location Privacy in Mobile Data Management Infrastructures

The 6 th Workshop on Privacy Enhancing Technologies (2006). Preserving User Location Privacy in Mobile Data Management Infrastructures. Reynold Cheng ( csckcheng@comp.polyu.edu.hk ) The Hong Kong Polytechnic University. A joint work with: Yu Zhang, Elisa Bertino, and Sunil Prabhakar

536 views • 38 slides

Probabilistic Verifiers: Evaluating Constrained Nearest-Neighbor Queries over Uncertain Data

IEEE ICDE 2008. Probabilistic Verifiers: Evaluating Constrained Nearest-Neighbor Queries over Uncertain Data. Reynold Cheng Hong Kong Polytechnic University csckcheng@comp.polyu.edu.hk http://www.comp.polyu.edu.hk/~csckcheng. Jinchuan Chen ( csjcchen@comp.polyu.edu.hk )

603 views • 34 slides

Quantifying Location Privacy

Quantifying Location Privacy. Reza Shokri George Theodorakopoulos Jean-Yves Le Boudec Jean-Pierre Hubaux. May 2011. A location trace is not only a set of positions on a map. The contextual information attached to a trace tells much about our habits, interests, activities, and relationships.

542 views • 31 slides

Quantifying Location Privacy

Quantifying Location Privacy. Reza Shokri George Theodorakopoulos Jean-Yves Le Boudec Jean-Pierre Hubaux. May 2011. A location trace is not only a set of positions on a map. The contextual information attached to a trace tells much about our habits, interests, activities, and relationships.

568 views • 31 slides

Location Privacy Protection for Smartphone Users

498 views • 30 slides

ANODR : AN onymous O n- D emand R outing with Untraceable Routes for Mobile Ad Hoc Networks

ANODR : AN onymous O n- D emand R outing with Untraceable Routes for Mobile Ad Hoc Networks. MobiHOC 2003 June 3, 2003 Jiejun Kong, Xiaoyan Hong Wireless-Adaptive-Mobility Laboratory Department of Computer Science University of California, Los Angeles. Location Privacy Attack:

453 views • 26 slides

Mobile Advantage: Context and Immediacy in Health Information Seeking

Mobile Advantage: Context and Immediacy in Health Information Seeking. Lisa Gualtieri, PhD, ScM Assistant Professor Dept . of Public Health and Community Medicine Tufts University School of Medicine Email: lisa.gualtieri@tufts.edu Twitter: @ lisagualtieri. Health search is everywhere.

412 views • 26 slides

ITIS 3200 Intro to Security and Privacy

403 views • 26 slides

Feeling-based location privacy protection for LBS

574 views • 26 slides

On Location Privacy in Vehicular Mix-Networks

On Location Privacy in Vehicular Mix-Networks. Julien Freudiger IC-29 Self-Organised Wireless and Sensor Networks Tutors: Maxim Raya Márk Félegyházi. Outline. Problem Statement System Model Vehicular Networks Adversary Mix-zone Cryptographic Mix-zones The CMIX protocols

396 views • 24 slides

Privacy Issues in Vehicular Ad Hoc Networks.

434 views • 20 slides

Pocket Hypervisors: Opportunities and Challenges

Pocket Hypervisors: Opportunities and Challenges. Landon Cox Duke University. Peter Chen University of Michigan. Conventional organization. Process. Process. Process. Operating System. Hypervisor organization. Process. Process. Encapsulation Mediation Isolation. Guest OS. Guest OS.

317 views • 19 slides

PrivacyGrid Visualization

PrivacyGrid Visualization. Balaji Palanisamy Saurabh Taneja. Location Based Services: Examples. Location-based Social Networking: Google Latitude: Where are my friends currently? Location-based advertisements:

239 views • 16 slides

IETF #68, Prague, March 2007

MIPv6 CN-Targeted Location Privacy and Optimized Routing draft-weniger-mobopts-mip6-cnlocpriv-01 <kilian.weniger@eu.panasonic.com>. IETF #68, Prague, March 2007. Outline. Scope of this draft Scenario and problem definition Solution in draft-irtf-mobopts-location-privacy-solutions

306 views • 16 slides

Privacy Preserving Data Mining on Moving Object Trajectories

294 views • 16 slides

Unraveling an old cloak: k-anonymity for location privacy

Unraveling an old cloak: k-anonymity for location privacy. Reza Shokri 1 , Carmela Troncoso 2 , Claudia Diaz 2 , Julien Freudiger 1 , and Jean-Pierre Hubaux 1. 1 EPFL 2 K.U.Leuven. Location-Based Services. query, user, location, time. Problems of revealing location to LBS provider

283 views • 13 slides

Can Ferris Bueller Still Have His Day Off? Protecting Privacy in the Wireless Era

Can Ferris Bueller Still Have His Day Off? Protecting Privacy in the Wireless Era. Benn Greenstein Ramakrishna Gummadi Jeffrey Pang Mike Y. Chen Tadayoshi Kohno Srinivasan Seshan David Wetherall. Presented by: Ryan Genato. Overview. Background The Paper Introduction Scenarios

251 views • 10 slides