10 papers · ranked by Valyu relevance
Haobo Jia, Zhuqing Jia, Shenghui Song
We study the problem of locally encoded secure distributed batch matrix multiplication (LESDBMM), where M pairs of sources each encode their respective batches of massive matrices and distribute the generated shares to a subset of N worker nodes. Each worker node computes a response from the received shares and sends…
Shakir Ali, Amal S. Alali, Mohd Azeem, Atif Ahmad Khan + 2 more
Let e be a fixed positive integer and $n_{1},n_{2}$ be odd positive integers. The main objective of this article is to investigate the algebraic structure of double cyclic codes of length $(n_{1},n_{2})$ over the finite chain ring $(Re = F_{4e}+vF_{4e})$, where $v2=0$. Building upon this structural framework, we…
Yuqi Jiang, Tianyi Mao, Jianyong Zhou, Qile Zhao + 4 more
Coded aperture X-ray computed tomography (CAXCT) measures coded X-ray projections to reconstruct the inner structure of an object. Coded apertures, which determine the point spread function, can be designed to improve the reconstruction quality, but most approaches are computationally expensive, leading to very small…
Jinli Chen, Akinsanmi S. Ige, Keith Runge, Pierre A. Deymier + 1 more
The human brain performs complex, high-dimensional (HD) computations, such as causal reasoning, counterfactual thinking, and abstraction, with ~1011 neurons while consuming ~20 watts of power. Neuromorphic computing seeks similar efficiency, but current devices face bottlenecks in bandwidth, energy, wiring, footprint…
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)…
Muhammad Naeem Akhtar, Jawad Hussain Awan, Abdul Mateen Shahzaib Asad, Min Young Kim + 1 more
The rapid growth of digital communication and large-scale data exchange has increased the demand for advanced cryptographic techniques capable of resisting emerging computational threats. Conventional encryption methods primarily rely on mathematical complexity, which may become vulnerable with the advancement of…
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…
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…
Zhigang Chen, Xinxia Song, Liqun Chen, Boris Ryabko
Deploying neural networks on encrypted data requires efficient evaluation of nonlinear activations, especially the ReLU function, without decryption. While the CKKS homomorphic encryption scheme supports packed arithmetic over approximate numbers efficiently, its approximate semantics make direct nonlinear evaluation…
Alenrex Maity, Yen-Lin Chen, Wassim Alexan, Por Lip Yee + 1 more
This study proposes a fast image encryption method for color images, integrating an autoencoder to compress the image and a 6D hyperchaotic system to ensure enhanced security. Initially, a hash value is obtained from the original color image. The hash value, which serves as the secret key of the proposed encryption…