Abstract
The breach of privacy in encrypted instant messenger (IM) service is a serious threat to user anonymity. Performance of previous de-anonymization strategies was limited to 65%. We perform network de-anonymization by taking advantage of the cause-effect relationship between sent and received packet streams and demonstrate this approach on a data set of Yahoo! IM service traffic traces. An investigation of various measures of causality shows that IM networks can be breached with a hit rate of 99%. A KCI Causality based approach alone can provide a true positive rate of about 97%. Individual performances of Granger, Zhang and IGCI causality are limited owing to the very low SNR of packet traces and variable network delays.
| Original language | English |
|---|---|
| Title of host publication | 2014 IEEE Global Communications Conference |
| Publisher | Institute of Electrical and Electronics Engineers (IEEE) |
| Pages | 686-691 |
| Number of pages | 6 |
| ISBN (Print) | 978-1-4799-3512-3 |
| DOIs | |
| Publication status | Published - 12 Dec 2014 |
| Event | 2014 IEEE Global Communications Conference - Austin, TX, USA Duration: 8 Dec 2014 → 12 Dec 2014 |
Conference
| Conference | 2014 IEEE Global Communications Conference |
|---|---|
| Period | 8/12/14 → 12/12/14 |
Keywords
- Servers
- Signal to noise ratio
- Delays
- Correlation
- Educational institutions
- IP networks
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