Intersection Attacks on Discrete Epochs

Anonymous messaging systems with churn in the set of online users are vulnerable to intersection attacks. Researchers have evaluated the success of the state of the art intersection attack using a model of user messaging simulated from a generated social graph. This thesis compares the success of the state of the art intersection attack using a model simulated from a generated social graph versus models simulated from real social graphs, such as those of Twitter and Google+. We find that users lose anonymity at a slower rate if the model uses a real social graph rather than a generated social graph.

Name thesis:degree_name

Master

Department dc:contributor.department

Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science

Grantor dc:publisher

Massachusetts Institute of Technology

Year dc:date.issued

2023

Author dc:creator

• Lin, Andrea

Advisor dc:contributor.advisor

• Devadas, Srinivas

Statement dc:rights

• In Copyright - Educational Use Permitted
• Copyright retained by author(s)

Licence dc:rights.uri

• https://rightsstatements.org/page/InC-EDU/1.0/

Handle dc:identifier.uri

https://hdl.handle.net/1721.1/151547

OAI identifier oai:identifier

oai:dspace.mit.edu:1721.1/151547