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image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Computer Networksarrow_drop_down
image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
Computer Networks
Article . 2014 . Peer-reviewed
License: Elsevier TDM
Data sources: Crossref
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ERSS-RLNC: Efficient and robust secure scheme for random linear network coding

Authors: Steven Martin; Hassan N. Noura; Khaldoun Al Agha; Khaled Chahine;

ERSS-RLNC: Efficient and robust secure scheme for random linear network coding

Abstract

Random Linear Network Coding (RLNC) is a promising technology of Network Coding (NC) that has been proved to be both sufficient and efficient. To enable the deployment of RLNC in real networks, this paper first introduces a new efficient and flexible authentication-encryption scheme that is immune to Byzantine and eavesdropping attacks. The proposed scheme achieves simultaneously information confidentiality, packet integrity and source authentication with minimum computational complexity and memory consumption. It also presents a new technique for constructing an integer Global Encoding Matrix (GEM) that satisfies the inversion property in a dynamic manner. In addition, the proposed scheme uses dynamic keys to ensure robustness against attacks. Secondly, an efficient implementation of Binary RLNC, suitable for battery constrained mobile devices with low computational capabilities such as mobile phones and sensors, is defined. The effectiveness of the coding process is proved by modifying the Galois field of calculation from integer (int8, int16) to binary. Not only does this ensure low computational requirements, high throughput and low energy consumption, but also reduces the statistical characteristics of the coding process. The obtained theoretical and experimental results show that the new scheme is secure and efficient compared with many recent works in this field.

  • BIP!
    Impact byBIP!
    citations
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    18
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Top 10%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Top 10%
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Average
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Found an issue? Give us feedback
citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
18
Top 10%
Top 10%
Average
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