A Scalable and Privacy-Preserving Named Data Networking Architecture Based on Bloom Filters

Currently, there are numbers of different architectural proposals for future internet that focus on content-centric networking as the alternative of the existing location-based networking. These architectures give more emphasis on the security part of their paradigms and pay little attention or ignore on issues of privacy in their architectural designs. In this paper we propose the Scalable and Privacy Preserving Routing Protocol in Named Data Networking (SP-NDN) by utilizing the multiple Bloom filters in order to ameliorate user´s interest packet flow privacy and security during the transit. In contrast to existing schemes, we present a content-dependent key tree based on multicast key management protocol to integrate Bloom filter and multicast encryption that mitigates the leakage of the original user´s keywords and precluding unauthorized users (eavesdroppers) from guessing the key words. Our schemes guarantee the high security and privacy of user´s interest packet during the transmission and at the same time trying to minimize the possible increase number of false positives likely to happen when a content is queried.