16 papers · ranked by Valyu relevance
DianGuo Cao, ZhenYuan Yu, Jinqiang Wang, Yuqiang Wu + 1 more
Motor imagery (MI) is a brain-computer interface (BCI) technology with the potential to change human life in the future. MI signals have been widely applied in various BCI applications, including neurorehabilitation, smart home control, and prosthetic control. However, the limited accuracy of MI signals decoding…
Pengxi Fu, Zhen Wang, Jianxin Guo, Yushuai Zhang + 4 more
Modern communication systems increasingly leverage multiple information streams-including channel observations, statistical models, and contextual knowledge-to enhance decoding reliability. However, the varying and often unpredictable quality of these sources poses a critical challenge: rigid combination rules fail…
Apiwat Magkeethum, Sukkharak Saechia, Paramote Wardkein, Luca Leonardi
The growth of Internet of Things (IoT) applications is driving demand for Low-Power Wide-Area Networks (LPWANs) to support higher data rates with the same energy efficiency. While Long Range (LoRa) provides excellent noise immunity and receiver sensitivity, its data rate might be insufficient for some applications…
Mohamed Gabr, Eyad Mamdouh, Dina El-Damak, Minar El-Aasser + 2 more
This study presents a sophisticated encryption methodology specifically designed for the secure transfer of medical images across cloud services. The initial phase of the algorithm involves the consolidation of multiple images to form a single augmented image, which is then subjected to the first layer of encryption.…
Kaan Doğan Erdoğan, Nurettin Doğan, Heena Rathore, Yuchen Jiang + 1 more
One of the major challenges in securing medical image communication systems is the secure and efficient management of cryptographic key material. In this paper, we propose a multi-layer image encryption algorithm that addresses image security while reducing per-image key-storage and transmission overhead under a…
Laura Caune, Luka Skoric, Nick S. Blunt, Archibald Ruban + 21 more
Quantum error correction will be essential for quantum computers to realise their full potential. As quantum computers advance towards demonstrating a universal fault-tolerant logical gate set, implementing scalable and low-latency real-time decoding will be crucial to avoid an exponential slowdown and maintain a fast…
Guoming Song, Dongming Pi, Shancheng Zhao, Chi Wan Sung
Product codes (PCs) are widely used in high-speed communication systems due to their attractive trade-off between error-correction performance and complexity. To further meet the rapidly growing demand for higher data rates, soft-aided hard-decision decoders (SA-HDDs) have been developed. In this paper, we present a…
Chengsi Hu, Qing Liu, Chenying Xu, Guanglin Li + 2 more
Brain-computer interfaces (BCIs) have great potential for consumer electronics, as they enable the decoding of brain activity to control external devices and assist human-computer interaction. However, current decoding methods for BCIs face several challenges, such as low accuracy, poor stability under electrode shift…
Zexiong Shao, Zhenghui Gu, Le Che, Zhuliang Yu + 1 more
Motor imagery-based brain computer interface (MI-BCI) have been increasingly adopted in neurorehabilitation and related fields. The performance of MI-electroencephalogram (MI-EEG) decoding algorithms is central to the advancement of MI-BCI. However, current studies often lack rigorous investigation into the brain's…
Eyad Mamdouh, Amr Aboshousha, Wassim Alexan
Secure dissemination of high-resolution satellite imagery remains challenging because many image-tailored ciphers either (i) emphasize permutation-heavy designs without sufficiently strong, plaintext-adaptive nonlinearity, or (ii) provide strong security metrics but fall short on scalable, near-real-time performance…
Kees Schouhamer Immink, Jos H. Weber, Tuan Thanh Nguyen, Kui Cai + 2 more
The design of low-complexity and efficient constrained codes has been a major research item for many years. This paper reports on a versatile method named concatenated constrained codes for designing efficient fixed-length constrained codes with small complexity. A concatenated constrained code comprises two (or more)…
Bo Sun, Jinhao Zhang, Jialin Meng, Tianyu Wang
Conventional software-based encryption faces mounting limitations in power efficiency and security, inspiring the development of emerging neuromorphic computing hardware encryption. This study presents a hardware-level multi-dimensional encryption paradigm utilizing optoelectronic neuromorphic devices with low energy…
Deepak Kumar Verma, Mamta Rani, Roli Dikshit, Himanshu Gupta + 1 more
This research delves into the concerns raised by numerous researchers regarding the security of Baptista’s chaotic cryptosystem. The paper scrutinizes two fundamental issues in the Baptista algorithm: the imperfect distribution of chaotic data and the constraints of a single attractor. To address these issues, we…
Thang Manh Hoang, Pham Quang Anh, Manh-Hai Hoang, Do Quang Tran + 1 more
Image data has been generated massively by devices in medical imaging modalities, cameras, and even by artificial intelligence. Encryption is the powerful method to keep the image content confidential, in which an encryption algorithm must include the confusion and diffusion properties. For massive images, a efficient…
Xiaoqiang Zhang, Pengfei Chen, Xueheng Zhang, Boris Ryabko
Digital images are easily transmitted in Internet, but there is also a great risk of information leakage. To meet the requirements of secure image transmission and real-time communication, an image encryption algorithm based on a novel chaotic map and a three-dimensional histogram is proposed. Firstly, a novel…
Songran Wang, Hanqing Zhao, Wei He, Tao Wang + 4 more
In this paper, we propose a novel image encryption algorithm that integrates a six-dimensional hyperchaotic system with the forward diffusion process of denoising diffusion probabilistic models (DDPMs). The proposed framework synergistically combines the hyperchaotic system’s high sensitivity to initial conditions with…