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Erschienen in:
2019 | OriginalPaper | Buchkapitel
Distributed Approach for Detecting Collusive Interest Flooding Attack on Named Data Networking
verfasst von : Tetsuya Shigeyasu, Ayaka Sonoda
Erschienen in: Advances in Network-Based Information Systems
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Abstract
Recently, network consumers use Internet for getting contents: videos, musics, photos, and other contents created by many producers. Those contents accelerate the increasing traffic volumes. For reducing the increasing traffic volume to keep stabilities of broadband network, realizing the concept of CCN (Contents Centric Networking) is strongly required. The NDN (Named Data Networking) which is the most popular network architecture have been proposed to realize the concept of CCN. However, it have been also reported that the NDN is vulnerable to CIFA (Collusive Interest Flooding Attack). In this paper, we propose a novel distributed algorithm for detecting CIFA for keep availabilities of NDN. The results of computer simulations confirm that our proposal can detect and mitigate the effects of CIFA, effectively.