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A null space-based MAC scheme against pollution attacks to random linear network coding

A null space-based MAC scheme against pollution attacks to random linear network coding

Esfahani, Alireza, Mantas, Georgios, Rodriguez, Jonathan, Nascimento, Alberto and Neves, Jose Carlos (2015) A null space-based MAC scheme against pollution attacks to random linear network coding. In: 2015 IEEE International Conference on Communication Workshop (ICCW). IEEE, pp. 1521-1526. ISBN 978-1467363051 ISSN 2164-7038 (doi:https://doi.org/10.1109/ICCW.2015.7247395)

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Abstract

Network Coding has significantly shown the achievable throughput and robustness in wireless Networks. However, network coding-enabled networks are susceptible to pollution attacks where a small number of polluted messages will propagate due to recoding and corrupt bunches of legitimate messages. Several lightweight Homomorphic Message Authentication Code (HMAC) schemes have been proposed for protecting the transmitted data against pollution attacks; however, most of them are not appropriate for wireless networks or cannot resist tag pollution attacks. In this paper, we present a computationally efficient null space-based homomorphic MAC scheme, for network coding-enabled wireless networks. The proposed scheme makes use of two types of tags (i.e., MACs and D-MACs) to provide resistance against data pollution and tag pollution attacks. Furthermore, we demonstrate that due to its lightweight nature, our proposed scheme incurs a minimal complexity compared to other related schemes.

Item Type: Conference Proceedings
Title of Proceedings: 2015 IEEE International Conference on Communication Workshop (ICCW)
Uncontrolled Keywords: network coding, security, homomorphic message authentication code, 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/27758

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