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%.

ICN PATTA: ICN Privacy Attack Through Traffic Analysis / Bardhi, Enkeleda; Conti, Mauro; Lazzeretti, Riccardo; Losiouk, Eleonora. - (2021), pp. 443-446. ((Intervento presentato al convegno 46th IEEE Conference on Local Computer Networks, LCN 2021 tenutosi a Edmonton; Canada [10.1109/LCN52139.2021.9525013].

ICN PATTA: ICN Privacy Attack Through Traffic Analysis

Enkeleda Bardhi
Primo
;
Riccardo Lazzeretti
;
2021

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%.
978-073812476-6
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11573/1580366
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