An efficient and DoS-resilient name lookup for NDN interest forwarding

As a novel Internet architecture focused on data contents, Named Data Networking (NDN) has been proven to be of great value in supporting the Internet of Things, Edge computing, Blockchain, and other popular topics. They can benefit mainly from NDN's intrinsic properties, such as flexible multi...

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Main Authors: Dacheng He, Dafang Zhang, Yanbiao Li, Wei Liang, Meng-Yen Hsieh
Format: Article
Language:English
Published: Taylor & Francis Group 2021-07-01
Series:Connection Science
Subjects:
Online Access:http://dx.doi.org/10.1080/09540091.2021.1875988
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author Dacheng He
Dafang Zhang
Yanbiao Li
Wei Liang
Meng-Yen Hsieh
author_facet Dacheng He
Dafang Zhang
Yanbiao Li
Wei Liang
Meng-Yen Hsieh
author_sort Dacheng He
collection DOAJ
description As a novel Internet architecture focused on data contents, Named Data Networking (NDN) has been proven to be of great value in supporting the Internet of Things, Edge computing, Blockchain, and other popular topics. They can benefit mainly from NDN's intrinsic properties, such as flexible multicasting, in-network caching, among several others. However, once NDN's forwarding plane suffers Denial of Service (DoS) attacks, the overall system performance would be affected significantly. In NDN data transmission, interest forwarding is the most time-consuming operation and thus opens a possible vector of DoS attacks. It is proposed in this paper a fast name lookup algorithm for NDN interest forwarding, which selects feature prefixes instead of lengths to filter out interest packets in NDN interest forwarding. Due to the excellent filtration with feature prefixes, the algorithm accelerates NDN forwarding processes. Compared with other existing solutions, the proposed algorithm shows more than 70% of time improvement in forwarding malicious interests, while remaining at the same performance level in standard cases.
format Article
id doaj-art-0d402b6b2a304653a4783be1002feee5
institution OA Journals
issn 0954-0091
1360-0494
language English
publishDate 2021-07-01
publisher Taylor & Francis Group
record_format Article
series Connection Science
spelling doaj-art-0d402b6b2a304653a4783be1002feee52025-08-20T02:03:04ZengTaylor & Francis GroupConnection Science0954-00911360-04942021-07-0133373575210.1080/09540091.2021.18759881875988An efficient and DoS-resilient name lookup for NDN interest forwardingDacheng He0Dafang Zhang1Yanbiao Li2Wei Liang3Meng-Yen Hsieh4College of Computer Science and Electronic Engineering, Hunan UniversityCollege of Computer Science and Electronic Engineering, Hunan UniversityComputer Network Information Center, Chinese Academy of SciencesCollege of Computer Science and Electronic Engineering, Hunan UniversityDepartment of Computer Science and Information Engineering, Providence UniversityAs a novel Internet architecture focused on data contents, Named Data Networking (NDN) has been proven to be of great value in supporting the Internet of Things, Edge computing, Blockchain, and other popular topics. They can benefit mainly from NDN's intrinsic properties, such as flexible multicasting, in-network caching, among several others. However, once NDN's forwarding plane suffers Denial of Service (DoS) attacks, the overall system performance would be affected significantly. In NDN data transmission, interest forwarding is the most time-consuming operation and thus opens a possible vector of DoS attacks. It is proposed in this paper a fast name lookup algorithm for NDN interest forwarding, which selects feature prefixes instead of lengths to filter out interest packets in NDN interest forwarding. Due to the excellent filtration with feature prefixes, the algorithm accelerates NDN forwarding processes. Compared with other existing solutions, the proposed algorithm shows more than 70% of time improvement in forwarding malicious interests, while remaining at the same performance level in standard cases.http://dx.doi.org/10.1080/09540091.2021.1875988ndndosname lookupfeature prefixinterest forwarding
spellingShingle Dacheng He
Dafang Zhang
Yanbiao Li
Wei Liang
Meng-Yen Hsieh
An efficient and DoS-resilient name lookup for NDN interest forwarding
Connection Science
ndn
dos
name lookup
feature prefix
interest forwarding
title An efficient and DoS-resilient name lookup for NDN interest forwarding
title_full An efficient and DoS-resilient name lookup for NDN interest forwarding
title_fullStr An efficient and DoS-resilient name lookup for NDN interest forwarding
title_full_unstemmed An efficient and DoS-resilient name lookup for NDN interest forwarding
title_short An efficient and DoS-resilient name lookup for NDN interest forwarding
title_sort efficient and dos resilient name lookup for ndn interest forwarding
topic ndn
dos
name lookup
feature prefix
interest forwarding
url http://dx.doi.org/10.1080/09540091.2021.1875988
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