ICN PATTA: ICN Privacy Attack Through Traffic Analysis

Enkeleda Bardhi, M. Conti, R. Lazzeretti, E. Losiouk
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引用次数: 3

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%.
ICN PATTA:基于流量分析的ICN隐私攻击
PATTA是信息中心网络中第一个基于网络流量分析的隐私攻击。PATTA旨在通过嗅探向第一跳路由器的通信来自动识别所请求内容的类别。PATTA将文本处理和机器学习技术应用于面向内容架构中的内容名称。我们在模拟网络中评估了PATTA,在确定实时内容类别方面达到了96%的准确性。
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