Content-centric networking is often regarded as a promising paradigm for future networks. Nevertheless current content-based networks-such as file sharing peer-to-peer (P2P) networks-have been proved to be vulnerable to content pollution attacks. A significant amount of research efforts has been launched in order to mitigate this kind of attacks. The majority of these efforts focuses on users' ranking, based on their behavior, while little work has been done in ranking information itself. We show in this paper that solutions based on users' ranking can be by-passed by malicious users. Furthermore we propose inforanking, a light-weight solution for ranking information, based exclusively on positive votes. We compare our solution to Credence object-based reputation system. Our solution demonstrates significant less burden to the network and outperforms Credence in terms of polluted content isolation.
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