A Novel Secure Key Stream Generator Based on Chaotic Multistate Cellular Automata
The security and reliability requirements for communication systems are increasingly stringent due to the exponential growth in demand for information exchange. Key stream generators are critical components of secure communication systems. However, chaotic-based key stream generators are susceptible to inherent dynamic degradation phenomena, which pose significant security risks. To address this vulnerability, this paper proposes a novel key stream generator based on a chaotic multi-state cellular automaton (CA). We develop a chaotic 8-state CA using a two-dimensional logistic tent modular map to generate both the chaotic rule space and cellular space. The state data of the CA can be updated in parallel, and each state can be directly used as a key stream through simple binary conversion. Furthermore, the Lyapunov exponent theoretical calculation method is extended to multi-state CA, thereby verifying the chaotic behavior of the proposed 8-state CA. Finally, the obtained results show that the proposed key stream generator is not affected by dynamic degradation, and can achieve a maximum expandable key space of 27 2 8. The generator successfully passes the NIST and TestU01 standard random number tests. This study provides a novel framework for designing key stream generators and demonstrates the potential application of multi-state CA in secure communication.
Authors
- Jiabei Xia (ORCID: https://orcid.org/0009-0006-6291-8206)
- Xinshuai Liang (ORCID: https://orcid.org/0000-0003-0402-9866)
- Chongfu Zhang (ORCID: https://orcid.org/0000-0003-0425-5919)
- Yanwei Li (ORCID: https://orcid.org/0000-0002-2298-4296)
- Yue Lin
- Wenjun Zeng (ORCID: https://orcid.org/0009-0000-4831-6184)
Institutions
- University of Electronic Science and Technology of China (CN)
Publication Details
- Journal
- IEEE Internet of Things Journal
- Published
- 2025-06-13
- DOI
- https://doi.org/10.1109/jiot.2025.3579516
- Citations
- 11
- Primary Topic
- Cellular Automata and Applications
- Type
- article
- Field-Weighted Citation Impact
- 16.55
Funders
- National Natural Science Foundation of China
- Natural Science Foundation of Sichuan Province