scholarly journals Intelligent IP Packet Filtering

Author(s):  
M. Hashem ◽  
A. Mohamed ◽  
M. Wahib
Keyword(s):  
2007 ◽  
pp. 534-581
Author(s):  
Deepankar Medhi ◽  
Karthikeyan Ramasamy
Keyword(s):  

2018 ◽  
pp. 500-547
Author(s):  
Deep Medhi ◽  
Karthik Ramasamy
Keyword(s):  

2021 ◽  
Vol 48 (4) ◽  
pp. 45-48
Author(s):  
Shunsuke Higuchi ◽  
Junji Takemasa ◽  
Yuki Koizumi ◽  
Atsushi Tagami ◽  
Toru Hasegawa

This paper revisits longest prefix matching in IP packet forwarding because an emerging data structure, learned index, is recently presented. A learned index uses machine learning to associate key-value pairs in a key-value store. The fundamental idea to apply a learned index to an FIB is to simplify the complex longest prefix matching operation to a nearest address search operation. The size of the proposed FIB is less than half of an existing trie-based FIB while it achieves the computation speed nearly equal to the trie-based FIB. Moreover, the computation speed of the proposal is independent of the length of IP prefixes, unlike trie-based FIBs.


Author(s):  
Karimov Madjid Malikovich ◽  
Gulomov Sherzod Rajaboevich ◽  
Yusupov Bokhodir Karamatovich
Keyword(s):  

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