Title :
Censorship-resistant and privacy-preserving distributed web search
Author :
Herrmann, Markus ; Ren Zhang ; Kai-Chun Ning ; Diaz, Carlos ; Preneel, Bart
Author_Institution :
iMinds, KU Leuven ESAT/COSIC, Leuven, Belgium
Abstract :
The vast majority of Internet users are relying on centralized search engine providers to conduct their web searches. However, search results can be censored and search queries can be recorded by these providers without the user´s knowledge. Distributed web search engines based on peer-to-peer networks have been proposed to mitigate these threats. In this paper we analyze the three most popular real-world distributed web search engines: Faroo, Seeks and Yacy, with respect to their censorship resistance and privacy protection. We show that none of them provides an adequate level of protection against an adversary with modest resources. Recognizing these flaws, we identify security properties a censorship-resistant and privacy-preserving distributed web search engine should provide. We propose two novel defense mechanisms called node density protocol and webpage verification protocol to achieve censorship resistance and show their effectiveness and feasibility with simulations. Finally, we elaborate on how state-of-the-art defense mechanisms achieve privacy protection in distributed web search engines.
Keywords :
data privacy; peer-to-peer computing; search engines; Faroo search engine; Internet users; Seeks search engine; Web page verification protocol; Yacy search engine; censorship-resistant distributed Web search; centralized search engine providers; node density protocol; peer-to-peer networks; privacy protection; privacy-preserving distributed Web search; search query; security property; Censorship; Indexes; Peer-to-peer computing; Privacy; Protocols; Search engines; Security;
Conference_Titel :
Peer-to-Peer Computing (P2P), 14-th IEEE International Conference on
Conference_Location :
London
Print_ISBN :
978-1-4799-6200-6
DOI :
10.1109/P2P.2014.6934312