Hongjun Liu 0002

dblp:14/284-2 · DBLP profile ↗
← Back
17ranked-venue papers
9as first author
11since 2021 · last 2025
—ORCID · conflict

Domains — the database's venue-derived domains; a paper can count in several

Graphics, computer vision, multimedia, augmented reality and games · 6 · 6 first-author · 2 since 2021Systems, architecture and hardware · 5 · 5 since 2021Artificial intelligence and machine learning · 4 · 2 first-author · 3 since 2021Computer networks · 1 · 1 since 2021Software engineering, systems software and programming languages · 1 · 1 first-author
YearPublicationVenuePosition
2025 An enhanced key expansion module based on 2D hyper chaotic map and Galois field
Yafei Cao, Hongjun Liu 0002
Integr.2
2025 Novel n-Dimensional Nondegenerate Discrete Hyperchaotic Map With Any Desired Lyapunov Exponents
abstract
The chaotic system as a source of randomness is very important for chaos-based secure communication. Different from other chaotic maps, this work explores an n-dimensional (n-D) nondegenerate discrete hyperchaotic map with any desired Lyapunov exponents (LEs). First, theoretical analysis proves that the proposed map is chaotic. Based on this proof, it is designed for any desired LEs. To illustrate the effectiveness of the n-dimensional (n-D) new map, we use some chaotic and nonchaotic maps as examples. The simulation results demonstrated that the proposed maps exhibit stronger chaotic properties and more complex dynamic behaviors compared to some previous results. Moreover, the chaotic signals generated by our maps passed NIST and TestU01 tests, which show that our map has better randomness. Furthermore, a chaotic system with higher LEs do not necessarily have higher complexity degree. Next, the proposed map is implemented by hardware digital signal processing platform, indicating the feasibility for industrial applications. More importantly, compared with other maps, the proposed map has simple structure with more complex behaviors and fewer parameters, and it is easy to set the desired LEs. Finally, we design a novel image encryption algorithm based on the proposed chaotic system and dynamic S-boxes. The experimental results show that the proposed chaotic system can be effectively applied in the field of data encryption.
Shuang Zhou 0014, Hongjun Liu 0002, Herbert H. C. Iu, Ugur Erkan, Abdurrahim Toktas
IEEE Internet Things J.2
2024 Cryptanalysis and construction of keyed strong S-Box based on random affine transformation matrix and 2D hyper chaotic map
Ruoran Liu, Hongjun Liu 0002, Mengdi Zhao
Expert Syst. Appl.2
2024 Constructing a non-degeneracy nD chaotic map model and counteracting dynamic degradation through adaptive impulsive perturbation
Hongjun Liu 0002, Yujun Niu, Mengdi Zhao
Expert Syst. Appl.1
2024 A non-degenerate n-dimensional integer domain chaotic map model with application to PRNG
Mengdi Zhao, Hongjun Liu 0002
Integr.2
2023 Reveal the correlation between randomness and Lyapunov exponent of n-dimensional non-degenerate hyper chaotic map
Ruoran Liu, Hongjun Liu 0002, Mengdi Zhao
Integr.2
2023 Constructing keyed strong S-Box with higher nonlinearity based on 2D hyper chaotic map and algebraic operation
Yuanyuan Si, Hongjun Liu 0002, Mengdi Zhao
Integr.2
2023 Batch generating keyed strong S-Boxes with high nonlinearity using 2D hyper chaotic map
Mengdi Zhao, Hongjun Liu 0002, Yujun Niu
Integr.2
2023 Constructing dynamic strong S-Box using 3D chaotic map and application to image encryption
Hongjun Liu 0002, Jian Liu 0023
Multim. Tools Appl.1
2023 Correction to: Constructing dynamic strong S-Box using 3D chaotic map and application to image encryption
Hongjun Liu 0002, Jian Liu 0023
Multim. Tools Appl.1
2021 Constructing chaos-based hash function via parallel impulse perturbation
Hongjun Liu 0002, Abdurahman Kadir
Soft Comput.1
2019 Construction of a new 2D Chebyshev-Sine map and its application to color image encryption
Hongjun Liu 0002, Fengtong Wen, Abdurahman Kadir
Multim. Tools Appl.1
2018 Chaos based adaptive double-image encryption scheme using hash function and S-boxes
Hongjun Liu 0002, Abdurahman Kadir
Multim. Tools Appl.1
2017 Chaos-based fast colour image encryption scheme with true random number keys from environmental noise
abstract
The paper proposes a chaos‐based colour image encryption scheme, the highlight is that the randomly sampled noise signal is applied to serve as the initial values of a chaotic system. The 256‐bit hash value of noise is transformed into the one‐time initial values of the Liu system. The sequences generated by Liu system are subjected to three batteries of TestU01. Exclusive OR, the only operation, is applied to diffuse the pixels, and some measures are taken to speed up the encryption process. Finally, some statistical tests are performed to assess reliability and efficiency of the proposed cryptosystem in terms of time complexity and security.
Hongjun Liu 0002, Abdurahman Kadir
IET Image Process.1
2016 Color pathological image encryption scheme with S-boxes generated by complex chaotic system and environmental noise
Guoyan Liu, Abdurahman Kadir, Hongjun Liu 0002
Neural Comput. Appl.3
2015 Asymmetric color image encryption scheme using 2D discrete-time map
Hongjun Liu 0002, Abdurahman Kadir
Signal Process.1
2013 Triple-image encryption scheme based on one-time key stream generated by chaos and plain images
Hongjun Liu 0002
J. Syst. Softw.1