Information ranking in content-centric networks

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.