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An improved homomorphic message authentication code scheme for RLNC-enabled wireless networks

An improved homomorphic message authentication code scheme for RLNC-enabled wireless networks

Esfahani, Alireza, Yang, Du, Mantas, Georgios, Nascimento, Alberto and Rodriguez, Jonathan (2015) An improved homomorphic message authentication code scheme for RLNC-enabled wireless networks. In: 2014 IEEE 19th International Workshop on Computer Aided Modeling and Design of Communication Links and Networks (CAMAD). IEEE, pp. 80-84. ISBN 978-1479957255 ISSN 2378-4865 (Print), 2378-4873 (Online) (doi:https://doi.org/10.1109/CAMAD.2014.7033210)

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Abstract

Network Coding has significantly improved the achievable throughput and robustness compared to traditional store-and-forward transmission paradigm. However, network coding-enabled networks are susceptible to pollution attack where a small number of polluted messages will propagate in recoding and corrupt bunches of legitimate messages. Recently, several light weight Homomorphic Message Authentication Code (HMAC) schemes were proposed for protecting the transmitted data against pollution attacks; however, most of them cannot resist tag pollution attacks. This paper presents an improved scheme, called Dual-HMAC, for Random Linear Network Coding (RLNC)-enabled wireless networks. The proposed scheme makes use of two types of tags (i.e., HMACs) to provide resistance against data pollution attacks and partially tag pollution attacks.

Item Type: Conference Proceedings
Title of Proceedings: 2014 IEEE 19th International Workshop on Computer Aided Modeling and Design of Communication Links and Networks (CAMAD)
Uncontrolled Keywords: network coding, HMAC, data pollution attack, tag pollution attack
Subjects: T Technology > TA Engineering (General). Civil engineering (General)
Faculty / Department / Research Group: Faculty of Engineering & Science
Faculty of Engineering & Science > School of Engineering (ENN)
Last Modified: 19 Sep 2020 00:20
Selected for GREAT 2016: None
Selected for GREAT 2017: None
Selected for GREAT 2018: None
Selected for GREAT 2019: None
Selected for REF2021: None
URI: http://gala.gre.ac.uk/id/eprint/27760

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