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A reliable adaptive forwarding approach in named data networking

Title
A reliable adaptive forwarding approach in named data networking
Author
오희국
Keywords
Named Data Networking (NDN); Information-Centric Network (ICN); Strategy layer; Reliable; Forwarding approach; Invalid data
Issue Date
2019-07
Publisher
ELSEVIER SCIENCE BV
Citation
FUTURE GENERATION COMPUTER SYSTEMS-THE INTERNATIONAL JOURNAL OF ESCIENCE, v. 96, Page. 538-551
Abstract
Named Data Networking (NDN) is a new paradigm for the future Internet infrastructure based on routable named data. The NDN infrastructure consists of a new component called strategy layer. The strategy layer allows for dynamically selecting network interfaces taking into account network conditions such as delay to forward Interest messages toward a provider. However, defining proper criteria for selecting the best possible paths to forward Interest messages is challenging in this network because different parameters and conditions conflict one another when choosing the best interfaces. Moreover, in NDN, data can be retrieved from different sources. However, to the best of our knowledge, the previous forwarding strategy methods that can estimate from which path the valid data can be fetched have not considered an attacker who tries to inject fake data with the same name as valid data. Therefore, in this paper, we take a holistic, adaptive forwarding approach that takes into account various metrics: bandwidth, load, delay, and reliability. Especially, we propose a reliability metric that defines which path is more stable and reliable to retrieve legitimate data. Our evaluation demonstrates that the proposed method enables reliable message delivery against potential attackers that inject invalid data, in addition, our method introduces marginal delay compared with the conventional forwarding methods in NDN. (C) 2019 Elsevier B.V. All rights reserved.
URI
https://www.sciencedirect.com/science/article/pii/S0167739X18316431http://repository.hanyang.ac.kr/handle/20.500.11754/117406
ISSN
0167-739X; 1872-7115
DOI
10.1016/j.future.2018.12.049
Appears in Collections:
COLLEGE OF COMPUTING[E] > COMPUTER SCIENCE(소프트웨어학부) > Articles
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