Köglmayr, Daniel and Räth, Christoph (2023) A fast reservoir computing based image encryption algorithm. In: 2023 International Joint Conference on Neural Networks, IJCNN 2023. International Joint Conference on Neural Networks (IJCNN), 18.-23. Juni 2023, Gold Coast, Australien. doi: 10.1109/IJCNN54540.2023.10191083. ISBN 978-166548867-9.
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Official URL: https://ieeexplore.ieee.org/document/10191083
Abstract
Reservoir computing has gained a lot of momentum in recent years, in part due to its high-speed performance. The algorithm presented here deliberately exploits this property for efficient encryption and decryption of image data. It is demonstrated that its performance is a factor of 1000 faster than another encryption algorithm based on reservoir computing. We further extend the presented method for applicability to high-resolution and color images by exploiting the computational speed of small reservoir networks and the property that reservoir computers are generally able to reproduce their training data with high accuracy. To that, security and performance aspects are discussed.
Item URL in elib: | https://elib.dlr.de/196434/ | ||||||||||||
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Document Type: | Conference or Workshop Item (Poster) | ||||||||||||
Title: | A fast reservoir computing based image encryption algorithm | ||||||||||||
Authors: |
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Date: | 2023 | ||||||||||||
Journal or Publication Title: | 2023 International Joint Conference on Neural Networks, IJCNN 2023 | ||||||||||||
Refereed publication: | Yes | ||||||||||||
Open Access: | No | ||||||||||||
Gold Open Access: | No | ||||||||||||
In SCOPUS: | Yes | ||||||||||||
In ISI Web of Science: | No | ||||||||||||
DOI: | 10.1109/IJCNN54540.2023.10191083 | ||||||||||||
ISBN: | 978-166548867-9 | ||||||||||||
Status: | Published | ||||||||||||
Keywords: | AI, encryption, reservoir computing | ||||||||||||
Event Title: | International Joint Conference on Neural Networks (IJCNN) | ||||||||||||
Event Location: | Gold Coast, Australien | ||||||||||||
Event Type: | international Conference | ||||||||||||
Event Dates: | 18.-23. Juni 2023 | ||||||||||||
Organizer: | IEEE | ||||||||||||
HGF - Research field: | other | ||||||||||||
HGF - Program: | other | ||||||||||||
HGF - Program Themes: | other | ||||||||||||
DLR - Research area: | Digitalisation | ||||||||||||
DLR - Program: | D DAT - Data | ||||||||||||
DLR - Research theme (Project): | D - short study [DAT] | ||||||||||||
Location: | Oberpfaffenhofen | ||||||||||||
Institutes and Institutions: | Institute for AI Safety and Security | ||||||||||||
Deposited By: | Räth, Christoph | ||||||||||||
Deposited On: | 11 Aug 2023 12:24 | ||||||||||||
Last Modified: | 15 Sep 2023 08:12 |
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