In addition to revealing the user identity, the reconstructed profile, dubbed as "mosaic," associates personal information such as political views, browsing ...

Further, we quantify the amount of leaked information as a function of the duration of the vulnerability and number of compromised IPs, compare the information ...

A reconstructed profile, dubbed as "mosaic," associates personal information such as political views, browsing habits, and favorite apps to the users by ...

Mosaic: Quantifying Privacy Leakage in Mobile Networks. Ning Xia ... Analysis on network data provides real-time activities and locations. OSN profiles ...

These pose a serious threat to user privacy as they enable an adversary to attribute significant portions of data traffic including the ones with NO identity ...

These pose a serious threat to user privacy as they enable an adversary to attribute significant portions of data traffic including the ones with NO identity ...

Sep 17, 2013 · A user ui is identified by a set of OSN identifiers. - A marker ml is a key value pair <kl, vl>. - If a pair of <ui, ml> exists in blocks, ...

Mosaic: quantifying privacy leakage in mobile networks. N. Xia, H. Song, Y. Liao, M. Iliofotou, A. Nucci, Z. Zhang, and A. Kuzmanovic.

Duration: 49:49
Posted: Mar 20, 2014

To combine systematic analyses with real-world measurements, we provide a method to quantify IoT privacy leakage on a large-scale mobile network traffic dataset ...