Intelligent impulsive synchronization of nonlinear interconnected neural networks for image protection
Abstract
Inspired by security applications in the industrial Internet of things, this paper focuses on the usage of impulsive neural network (NN) synchronization technique for intelligent image protection against illegal swiping and abuse. A class of nonlinear interconnected NNs with transmission delay and random impulse effect is first formulated and analyzed in this paper. In order to make network protocols more flexible, a randomized broadcast impulsive coupling scheme is integrated into the protocol design. Impulsive synchronization criteria are then derived for the chaotic NNs in the presence of nonlinear protocol and random broadcast impulse, with the impulse effect discussed. Illustrative examples are provided to verify the developed impulsive synchronization results and to show its potential application in image encryption and decryption.
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Only a few image encryption schemes are designed for specific application scenarios such as surveillance, IIoT, and social media.
“Only a few image encryption schemes are designed for solving security challenges in specific application scenarios: surveillance [37], IIoT (industrial Internet of Things) [29], social media [91].”
From When an attacker meets a cipher-image in 2018: A year in review (2019) · cites this paper as [29]
Cites
Internet of Things in industries: A survey
Xu, L. D., He, W., & Li, S. (2014) · IEEE Transactions on Industrial Informatics · doi:10.1109/tii.2014.2300753 · Cited by 5,172 · see citing works
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When an attacker meets a cipher-image in 2018: A year in review
Li, C., Zhang, Y., & Xie, E. Y. (2019) · Journal of Information Security and Applications · doi:10.1016/j.jisa.2019.102361 · Cited by 217 · see citing works
“Only a few image encryption schemes are designed for solving security challenge in specific application scenario: surveillance [37], IIoT (industrial Internet of Things) [29], social media [88].”
Background
- Authors
- Hu, B., Guan, Z.-H., Xiong, N., & Chao, H.-C.
- Affiliations
- Huazhong University of Science and Technology (CN)
- Northeastern State University (US)
- National Dong Hwa University (TW)
- Venue
- IEEE Transactions on Industrial Informatics
- Published
- 2018-08
- Volume
- 14
- Issue
- 8
- Pages
- 3775-3787
- ISSN
- 1551-3203 (ISSN-L)
- 1941-0050
- OpenAlex
- W2792501991
- Cited by
- 54
- References
- 1
- Citations by year
- 2026: 2 · 2025: 9 · 2024: 1 · 2023: 7 · 2022: 11 · 2021: 6 · 2020: 10 · 2019: 4 · 2018: 4
- FWCI
- 3.72
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- IEEE Transactions on Industrial Informatics (publishedVersion)
- Funders
- National Natural Science Foundation of China (61633011, 61672245, 61772086, 61672244)
- Topics
- Physical Sciences › Computer Science › Computer Networks and Communications › Neural Networks Stability and Synchronization
- Physical Sciences › Physics and Astronomy › Statistical and Nonlinear Physics › Chaos control and synchronization
- Physical Sciences › Engineering › Control and Systems Engineering › Stability and Control of Uncertain Systems
- Keywords
- impulsive synchronization, image protection, image encryption, image decryption, chaotic neural networks, transmission delay, Industrial Internet of Things security, synchronization criteria
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