FuRL: fuzzy RBM learning framework to detect and mitigate network anomalies in Information Centric Network

Volume: 45, Issue: 1
Published: May 4, 2020
Abstract
Information Centric Network (ICN) is a promising next-generation internet architecture in which the network focuses on retrieving the content by employing open in-network caching scheme to provide an efficient content distribution to users. However, such open in-network caching is vulnerable to network anomalies. In particular, cache pollution attack disrupts the smooth working of in-network caching by flooding unpopular contents. Hence, the...
Paper Details
Title
FuRL: fuzzy RBM learning framework to detect and mitigate network anomalies in Information Centric Network
Published Date
May 4, 2020
Journal
Volume
45
Issue
1
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