Narus, Inc.

Politecnico Di Torino

Stefano Traverso

Marco Mellia

Antonio Nucci

Alok Tongaonkar

Sabyasachi Saha

Elena Baralis

Luigi Grimaudo

Hassan Esam Hassan Metwalley

Danilo Giordano

A method for detecting web tracking services during browsing activity performed by clients having associated client identifiers includes the steps of extracting key-value pairs contained into navigation data, looking for one-to-one correspondence between said client identifiers and the values contained in said keys and selecting the keys for which at least a client-value one-to-one correspondence for at least a predetermined number of clients is observed, the keys identifying the associated services as services performing tracking activities.

Method for detecting web tracking services

A method for analyzing a content delivery network. The method includes obtaining network traffic flows corresponding to user nodes accessing contents from a set of servers of the content delivery network, extracting a timing attribute from each network traffic flow associated with a server, where the timing attribute is aggregated into a timing attribute dataset of the server based on all network traffic flows associated with the server, generating a statistical measure of the timing attribute dataset as a portion of a feature vector representing the server, where the feature vector is aggregated into a set of feature vectors representing the set of servers, analyzing the set of feature vectors based on a clustering algorithm to generate a set of clusters, and generating, based on the set of clusters, a representation of server groups in the content delivery network.

Unsupervised methodology to unveil content delivery network structures

Growing community of inventors

Fossano, Italy

Stefano Traverso