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A location-aware IDPS scheme for network coding-enabled mobile small cells

A location-aware IDPS scheme for network coding-enabled mobile small cells

Parsamehr, Reza, Esfahani, Alireza, Mantas, Georgios ORCID: 0000-0002-8074-0417, Rodriguez, Jonathan and Martinez-Ortega, Jose-Fernan (2019) A location-aware IDPS scheme for network coding-enabled mobile small cells. In: 2019 IEEE 2nd 5G World Forum (5GWF). 30 Sept.-2 Oct. 2019, Dresden. IEEExplore . Institute of Electrical and Electronics Engineers (IEEE), Piscataway, NJ, pp. 91-96. ISBN 9781728136271 ; 9781728136288 (doi:https://doi.org/10.1109/5GWF.2019.8911650)

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Abstract

Due to an explosive growing demand for higher data rates that have led to the 5th generation of mobile networks, Network Coding-enabled mobile small cells are observed as a promising technology for 5G networks that can cover the urban landscape by being set up on-demand at any place, and at any time on any device. Despite the benefits of network coding technology on these networks, pollution attacks should be addressed before network coding technology reaches its full potential in 5G mobile small cells. In this paper, we have proposed an intrusion detection and prevention scheme which is able not only to detect and prevent pollution attacks but also to detect the exact location of adversary nodes which are the source of pollution attacks.

Item Type: Conference Proceedings
Title of Proceedings: 2019 IEEE 2nd 5G World Forum (5GWF). 30 Sept.-2 Oct. 2019, Dresden
Uncontrolled Keywords: network coding, pollution attacks, mobile small cells
Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
T Technology > TK Electrical engineering. Electronics Nuclear engineering
Faculty / Department / Research Group: Faculty of Engineering & Science
Faculty of Engineering & Science > School of Engineering (ENN)
Related URLs:
Last Modified: 18 Aug 2021 12:32
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/33609

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