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Distributed Approach for Detecting Collusive Interest Flooding Attack on Named Data Networking

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Advances in Network-Based Information Systems (NBiS 2018)

Part of the book series: Lecture Notes on Data Engineering and Communications Technologies ((LNDECT,volume 22))

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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.

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Notes

  1. 1.

    According to the packet size and link bandwidth, each communication link can carries up to 100 packets during one second.

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Acknowledgements

This work was supported by JSPS KAKENHI Grant Number JP17K00132.

Author information

Authors and Affiliations

  1. Prefectural University of Hiroshima, Hiroshima, Japan

    Tetsuya Shigeyasu & Ayaka Sonoda

Authors
  1. Tetsuya Shigeyasu
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  2. Ayaka Sonoda
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Corresponding author

Correspondence to Tetsuya Shigeyasu .

Editor information

Editors and Affiliations

  1. Department of Information and Communication Engineering, Faculty of Information Engineering, Fukuoka Institute of Technology, Fukuoka, Japan

    Leonard Barolli

  2. Faculty of Management, Comenius University in Bratislava, Bratislava, Slovakia

    Natalia Kryvinska

  3. Faculty of Business Administration, Rissho University, Tokyo, Japan

    Tomoya Enokido

  4. Department of Advanced Sciences, Hosei University, Tokyo, Japan

    Makoto Takizawa

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Shigeyasu, T., Sonoda, A. (2019). Distributed Approach for Detecting Collusive Interest Flooding Attack on Named Data Networking. In: Barolli, L., Kryvinska, N., Enokido, T., Takizawa, M. (eds) Advances in Network-Based Information Systems. NBiS 2018. Lecture Notes on Data Engineering and Communications Technologies, vol 22. Springer, Cham. https://doi.org/10.1007/978-3-319-98530-5_7

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