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LEOPARD lightweight encryption operation permutation addition rotation and diffusion

LEOPARD lightweight encryption operation permutation addition rotation and diffusion

Sparrow, R. D, Adekunle, A. A. and Berry, R. J. (2017) LEOPARD lightweight encryption operation permutation addition rotation and diffusion. In: IEEE 10th International Conferences on Signal Processing and Communication Systems. IEEE, pp. 1-5. ISBN 978-1-5090-0941-1 (doi:10.1109/ICSPCS.2016.7843322)

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Abstract

Tactical unmanned vehicles are commonly used to conduct tasks (e.g. monitor and surveillance) in various civilian applications from a remote location. The characteristics of the wireless communication link allows attackers to monitor and manipulate the operation of the unmanned vehicle through passive and active attacks. Cryptography is selected as a countermeasure to mitigate these threats; however, a drawback of using cryptography is the impact on the energy consumed by the unmanned vehicle as energy is often constrained and limits the duration of the mission time. This paper introduces the Lightweight Encryption Operation Permutation Addition Rotation and Diffusion (LEOPARD) cryptographic primitive with a benchmark performance analysis against the standardised Advanced Encryption Standard (AES). Results indicate that LEOPARD is a feasible encryption approach in comparison to the AES encryption algorithm for unmanned vehicles with an average performance increase of 8%.

Item Type: Conference Proceedings
Title of Proceedings: IEEE 10th International Conferences on Signal Processing and Communication Systems
Additional Information: Conference was held at the Gold Coast, QLD, Australia from 19-21 December 2016.
Uncontrolled Keywords: Cryptographic primitives; Unmanned Vehicles; Secure Communications; Energy Conservation; Encryption
Subjects: T Technology > TA Engineering (General). Civil engineering (General)
Faculty / Department / Research Group: Faculty of Engineering & Science
Faculty of Engineering & Science > Department of Applied Engineering & Management
Faculty of Engineering & Science > Department of Engineering Science
Faculty of Engineering & Science > Wolfson Centre for Bulk Solids Handling Technology
Last Modified: 21 Sep 2017 15:18
Selected for GREAT 2016: None
Selected for GREAT 2017: None
Selected for GREAT 2018: None
URI: http://gala.gre.ac.uk/id/eprint/16781

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