ICN PATTA

ICN privacy attack through traffic analysis

Conference paper (2021)

Authors

Enkeleda Bardhi Sapienza University of Rome

M. Conti Università degli Studi di Padova

Riccardo Lazzeretti Sapienza University of Rome

Eleonora Losiouk Università degli Studi di Padova

Affiliation

External organisation

Information-Centric Networking Named Data Networking Network traffic analysis User privacy attack

To reference this document use:

http://resolver.tudelft.nl/uuid:4365d2cc-2f4f-442e-88a5-21be834c1f46

More Info

expand_more

Published Date

2021

Language

English

Reuse Rights

Other than for strictly personal use, it is not permitted to download, forward or distribute the text or part of it, without the consent of the author(s) and/or copyright holder(s), unless the work is under an open content license such as Creative Commons.

Affiliation

External organisation

Abstract

PATTA is the first privacy attack based on network traffic analysis in Information-Centric Networking. PATTA aims to automatically identify the category of requested content by sniffing the communication towards the first hop router. PATTA applies text processing and machine learning techniques to content names in content-oriented architectures. We evaluate PATTA in a simulated network, achieving an accuracy in determining a real-time content category equal to 96%.