Vuvuzela : scalable private messaging that hides metadata

Thesis: S.M., Massachusetts Institute of Technology, Department of Electrical Engineering and Computer Science, 2016.

Bibliographic Details
Main Author: Lazar, David, Ph.D. Massachusetts Institute of Technology
Other Authors: Nickolai Zeldovich.
Format: Thesis
Language:eng
Published: Massachusetts Institute of Technology 2016
Subjects:
Online Access:http://hdl.handle.net/1721.1/103748
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author Lazar, David, Ph.D. Massachusetts Institute of Technology
author2 Nickolai Zeldovich.
author_facet Nickolai Zeldovich.
Lazar, David, Ph.D. Massachusetts Institute of Technology
author_sort Lazar, David, Ph.D. Massachusetts Institute of Technology
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description Thesis: S.M., Massachusetts Institute of Technology, Department of Electrical Engineering and Computer Science, 2016.
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spelling mit-1721.1/1037482020-11-04T16:34:27Z Vuvuzela : scalable private messaging that hides metadata Scalable private messaging that hides metadata Lazar, David, Ph.D. Massachusetts Institute of Technology Nickolai Zeldovich. Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science. Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science Electrical Engineering and Computer Science. Thesis: S.M., Massachusetts Institute of Technology, Department of Electrical Engineering and Computer Science, 2016. Cataloged from PDF version of thesis. Includes bibliographical references (pages 57-60). Private messaging over the Internet has proven challenging to implement, because even if message data is encrypted, it is difficult to hide metadata about who is communicating in the face of traffic analysis. Systems that offer strong privacy guarantees, such as Dissent [39], scale to only several thousand clients, because they use techniques with superlinear cost in the number of clients (e.g., each client broadcasts their message to all other clients). On the other hand, scalable systems, such as Tor, do not protect against traffic analysis, making them ineffective in an era of pervasive network monitoring. Vuvuzela is a new scalable messaging system that offers strong privacy guarantees, hiding both message data and metadata. Vuvuzela is secure against adversaries that observe and tamper with all network traffic, and that control all nodes except for one server. Vuvuzela's key insight is to minimize the number of variables observable by an attacker, and to use differential privacy techniques to add noise to all observable variables in a way that provably hides information about which users are communicating. Vuvuzela has a linear cost in the number of clients, and experiments show that it can achieve a throughput of 68,000 messages per second for 1 million users with a 37-second end-to-end latency on commodity servers. by David Lazar. S.M. 2016-07-18T20:06:03Z 2016-07-18T20:06:03Z 2016 2016 Thesis http://hdl.handle.net/1721.1/103748 953583265 eng M.I.T. theses are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission. See provided URL for inquiries about permission. http://dspace.mit.edu/handle/1721.1/7582 60 pages application/pdf Massachusetts Institute of Technology
spellingShingle Electrical Engineering and Computer Science.
Lazar, David, Ph.D. Massachusetts Institute of Technology
Vuvuzela : scalable private messaging that hides metadata
title Vuvuzela : scalable private messaging that hides metadata
title_full Vuvuzela : scalable private messaging that hides metadata
title_fullStr Vuvuzela : scalable private messaging that hides metadata
title_full_unstemmed Vuvuzela : scalable private messaging that hides metadata
title_short Vuvuzela : scalable private messaging that hides metadata
title_sort vuvuzela scalable private messaging that hides metadata
topic Electrical Engineering and Computer Science.
url http://hdl.handle.net/1721.1/103748
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