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Performance Analysis of Cache Based on Popularity and Class in Named Data Network

open access: yesFuture Internet, 2020
The communication network is growing with some unique characteristics, such as consumers repeatedly request the same content to the server, similarity in local demand trend, and dynamic changes to requests within a specific period. Therefore, a different
Leanna Vidya Yovita   +3 more
doaj   +1 more source

Named Data Networking: A survey

open access: yesComputer Science Review, 2016
Internet was developed as a packet data network where users and data sources (server) with specific IP addresses interacted over a pre-established communication channel. This model of client–server data communication has evolved into a peer-to-peer mode of data sharing in recent times.
Saxena, D.   +4 more
openaire   +2 more sources

Content Retrieval Based on Prediction and Network Coding in Vehicular Named Data Networking

open access: yesIEEE Access, 2020
Named Data Networking (NDN) has the advantages of content-based, location-independent and in-network caching. These characteristics are naturally suitable for highly dynamic Vehicular Ad hoc Networks (VANETs), so VNDN has become a promising network ...
Danxia Li, Tian Song, Yating Yang
doaj   +1 more source

Improved name recognition with meta-data dependent name networks [PDF]

open access: yes2004 IEEE International Conference on Acoustics, Speech, and Signal Processing, 2004
A transcription system that requires accurate general name transcription is faced with the problem of covering the large number of names it may encounter. Without any prior knowledge, this requires a large increase in the size and complexity of the system due to the expansion of the lexicon.
Maskey, Sameer R.   +3 more
openaire   +1 more source

Measuring named data networks

open access: yes, 2020
Named Data Networking (NDN) is a promising information-centric networking (ICN) Internet architecture that addresses the content directly rather than addressing servers. NDN provides new features, such as content-centric security, stateful forwarding, and in-network caches, to better satisfy the needs of today's applications.
Fan, Chengyu, author   +5 more
openaire   +1 more source

A network-wide view-based detection and mitigation of a sophisticated Interest Flooding Attack

open access: yesEURASIP Journal on Wireless Communications and Networking, 2020
Interest Flooding Attack (IFA) is one of the main security threats for the Named Data Networking (NDN). Most of its existing countermeasures enable intermediate routers near the attackers to independently detect the attack and consider the typical attack
Guang Cheng   +5 more
doaj   +1 more source

ICNLoWPAN - Named-Data Networking for Low Power IoT Networks [PDF]

open access: yes2019 IFIP Networking Conference (IFIP Networking), 2019
Information Centric Networking is considered a promising communication technology for the constrained IoT, but NDN was designed only for standard network infrastructure. In this paper, we design and evaluate an NDN convergence layer for low power lossy links that (1) augments the NDN stateful forwarding with a highly efficient name eliding, (2) devises
Gündoğan, Cenk   +3 more
openaire   +2 more sources

Consumer Mobility Awareness in Named Data Networks [PDF]

open access: yesIEEE Access, 2022
Mobile data traffic has increased significantly due to the evolution of wireless communication technologies. The Information Centric Network paradigm is considered as an alternative to bypass the restrictions imposed by the traditional IP networks, especially those related with the mobility of its users.
Caldeira Hernandez, Diego   +2 more
openaire   +3 more sources

A NEURAL NETWORK BASED TRAFFIC-AWARE FORWARDING STRATEGY IN NAMED DATA NETWORKING

open access: yesInternational Islamic University Malaysia Engineering Journal, 2016
Named Data Networking (NDN) is a new Internet architecture which has been proposed to eliminate TCP/IP Internet architecture restrictions. This architecture is abstracting away the notion of host and working based on naming datagrams. However, one of the
Parisa Bazmi, Manijeh Keshtgary
doaj   +1 more source

DTranNER: biomedical named entity recognition with deep learning-based label-label transition model

open access: yesBMC Bioinformatics, 2020
Background Biomedical named-entity recognition (BioNER) is widely modeled with conditional random fields (CRF) by regarding it as a sequence labeling problem.
S. K. Hong, Jae-Gil Lee
doaj   +1 more source

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