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A Fuzzy-Based System for Actor Node Selection in WSANs for Improving Network Connectivity and Increasing Number of Covered Sensors Read chapter Read first chapter

2019 | OriginalPaper | Chapter

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

Authors : Tetsuya Shigeyasu, Ayaka Sonoda

Published in: Advances in Network-Based Information Systems

Publisher: Springer International Publishing

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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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Footnotes
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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Metadata
Title
Distributed Approach for Detecting Collusive Interest Flooding Attack on Named Data Networking
Authors
Tetsuya Shigeyasu
Ayaka Sonoda
Copyright Year
2019
Book
Advances in Network-Based Information Systems

Print ISBN: 978-3-319-98529-9

Electronic ISBN: 978-3-319-98530-5

Copyright Year: 2019

DOI
https://doi.org/10.1007/978-3-319-98530-5_7

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