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Autocorrelation of two Legendre-Sidelnikov sequences

The Journal of China Universities of Posts and Telecommunications 2014年第5期21卷 83-88,93页

作者： XIE Jia GAO Jun-tao YUE Zhao LI Xue-lian The State Key Laboratory of Integrated Services Network Xidian University Department of Mathematics Xidian University State Key Laboratory of Information Security Chinese Academy of Sciences

Sequences with nice pseudo-randomness play an important role in not only communication system but also cryptography system. Based on the Legendre-Sidelnikov sequence, a modified Legendre-Sidelnikov sequence was introduced. The exact value of the autocorrelation function was derived by strict computation. According to the values of the autocorrelation functions of the two Legendre-Sidelnikov sequences, it is proven that both of them have perfect pseudo-randomness. Furthermore, a detailed comparison between autocorrelation functions of the two Legendre-Sidelnikov sequences was deduced. It indicates that no matter which parameters are chosen, the modified sequence has pseudo-randomness as good as the primitive sequence, which is of great significance for applications.

关键词： autocorrelation pseudo-randomness binary sequence quadratic character Legendre-Sidelnikov sequence two-prime generator

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A User-Centric Data Secure Creation Scheme in Cloud Computing

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Chinese Journal of Electronics 2016年第4期25卷 753-760页

作者： SU Mang LI Fenghua SHI Guozhen GENG Kui XIONG Jinbo School of Computer Science and Engineering Nanjing University of Science and Technology State Key Laboratory of Information Security Institute of Information EngineeringChinese Academy of Sciences Department of Information Security Beijing Electronic Science and Technology Institute State Key Laboratory of Integrated Services Network Xidian University

Due to the use of the cloud computing technology,the ownership is separated from the administration of the data in cloud and the shared data might be migrated between different clouds,which would bring new challenges to data secure creation,especially for the data privacy *** propose a User-centric data secure creation scheme(UCDSC) for the security requirements of resource owners in *** this scheme,a data owner first divides the users into different *** data owner encrypts data and defines different secure managing policies for the data according to *** encrypt the data in UCDSC,we present an algorithm based on Access control conditions proxy re-encryption(ACC-PRE),which is proved to be master secret secure and Chosen-ciphertext attack(CCA) secure in random oracle *** give the application protocols and make the comparisons between some existing approaches and UCDSC.

关键词： User-centric ACC-PRE Data creation Master secret secure CCA

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Electronic band structures of topological kagome materials

arXiv

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arXiv 2025年

作者： Li, Man Ma, Huan Lou, Rui Wang, Shancai School of Information Network Security People’s Public Security University of China Beijing100038 China Beijing Key Laboratory of Opto-electronic Functional Materials & Micronano Devices Renmin University of China Beijing100872 China Leibniz Institute for Solid State and Materials Research IFW Dresden Dresden01069 Germany Helmholtz-Zentrum Berlin für Materialien und Energie Albert-Einstein-Straße 15 Berlin12489 Germany Joint Laboratory "Functional Quantum Materials" BESSY II Berlin12489 Germany

The kagome lattice has garnered significant attention due to its ability to host quantum spin Fermi liquid states. Recently, the combination of unique lattice geometry, electron-electron correlations, and adjustable magnetism in solid kagome materials has led to the discovery of numerous fascinating quantum properties. These include unconventional superconductivity, charge and spin density waves (CDW/SDW), pair density waves (PDW), and Chern insulator phases. These emergent states are closely associated with the distinctive characteristics of the kagome lattice’s electronic structure, such as van Hove singularities, Dirac fermions, and flat bands, which can exhibit exotic quasi-particle excitations under different symmetries and magnetic conditions. Recently, various quantum kagome materials have been developed, typically consisting of kagome layers stacked along the z-axis with atoms either filling the geometric centers of the kagome lattice or embedded between the layers. In this topical review, we begin by introducing the fundamental properties of several kagome materials. To gain an in-depth understanding of the relationship between topology and correlation, we then discuss the complex phenomena observed in these systems. These include the simplest kagome metal T3X, kagome intercalation metal TX, and the ternary compounds AT6X6 and RT3X5 (A = Li, Mg, Ca, or rare earth;T = V, Cr, Mn, Fe, Co, Ni;X = Sn, Ge;R = K, Rb, Cs). Finally, we provide a perspective on future experimental work in this field. Copyright © 2025, The Authors. All rights reserved.

关键词： Spin density waves

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DFMC:Feature-Driven Data-Free Knowledge Distillation

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IEEE Transactions on Circuits and Systems for Video Technology 2025年

作者： Zhang, Zherui Xu, Rongtao Wang, Changwei Xu, Wenhao Chen, Shunpeng Xu, Shibiao Xu, Guangyuan Guo, Li Beijing University of Posts and Telecommunications School of Artificial Intelligence Beijing100876 China Chinese Academy of Sciences State Key Laboratory of Multimodal Artificial Intelligence Systems Institute of Automation Beijing100190 China Qilu University of Technology Key Laboratory of Computing Power Network and Information Security Ministry of Education Shandong Computer Science Center Jinan250316 China Shandong Fundamental Research Center for Computer Science Shandong Provincial Key Laboratory of Computing Power Internet and Service Computing Jinan250014 China

Data-Free Knowledge Distillation (DFKD) enables knowledge transfer from teacher networks without access to the real dataset. However, generator-based DFKD methods often suffer from insufficient diversity or low-confidence in synthetic images, negatively impacting student network performance. This paper introduces DFMC, a generative feature-driven framework to mitigate the inherent limitations of DFKD. We propose exploiting semantic description between generative feature domains to guide augmentation strategies, avoiding random abstract inputs caused by inconsistent semantic quality. Then, by applying noise to the generative features, we produce contrastive learning pairs indirectly, limiting the sampling range of the feature domain to encourage the student network to learn domain-invariant features. Finally, we guide the student network to deeply mimic the teacher’s layer-wise implicit classification behavior for the augmented synthetic images. Extensive experiments across various datasets and downstream tasks demonstrate the effectiveness of DFMC, achieving significant improvements while preventing student networks from overfitting to semantic ambiguous images. © 1991-2012 IEEE.

关键词： Knowledge transfer

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Universal quantum computation with qudits

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Science China(Physics,Mechanics & Astronomy) 2014年第9期57卷 1712-1717页

作者： LUO MingXing WANG XiaoJun Information Security and National Computing Grid Laboratory Southwest Jiaotong University State Key Laboratory of Information Security (Institute of Information Engineering Chinese Academy of Sciences) School of Electronic Engineering Dublin City University

Quantum circuit model has been widely explored for various quantum applications such as Shors algorithm and Grovers searching *** of previous algorithms are based on the qubit *** a proposal for a universal circuit is given based on the qudit system,which is larger and can store more *** order to prove its universality for quantum applications,an explicit set of one-qudit and two-qudit gates is provided for the universal qudit *** one-qudit gates are general rotation for each two-dimensional subspace while the two-qudit gates are their controlled *** comparison to previous quantum qudit logical gates,each primitive qudit gate is only dependent on two free parameters and may be easily *** experimental implementation,multilevel ions with the linear ion trap model are used to build the qudit systems and use the coupling of neighbored levels for qudit *** controlled qudit gates may be realized with the interactions of internal and external coordinates of the ion.

关键词： universal qudit gate qudit circuit linear ion

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Forgeability of Wang-Zhu-Feng-Yau’s Attribute-Based Signature with Policy-and-Endorsement Mechanism

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Journal of Computer Science & Technology 2013年第4期28卷 743-748页

作者：葛爱军黄欣沂陈成马传贵张锐 State Key Laboratory of Mathematical Engineering and Advanced Computing Zhengzhou Information Science and Technology Institute State Key Laboratory of Information Security Institute of Information Engineering Chinese Academy of Sciences Fujian Provincial Key Laboratory of Network Security and Cryptology School of Mathematics and Computer ScienceFujian Normal University Institute of Software Chinese Academy of Sciences

Recently, Wang et al. presented a new construction of attribute-based signature with policy-and-endorsement mechanism. The existential unforgeability of their scheme was claimed to be based on the strong Diffie-Hellman assumption in the random oracle model. Unfortunately, by carefully revisiting the design and security proof of Wang et alfs scheme, we show that their scheme cannot provide unforgeability, namely, a forger, whose attributes do not satisfy a given signing predicate, can also generate valid signatures. We also point out the flaws in Wang et al.＇s proof.

关键词： attribute-based signature existential unforgeability policy-and-endorsement

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A Provably Secure General Construction for key Exchange Protocols Using Smart Card and Password

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Chinese Journal of Electronics 2017年第2期26卷 271-278页

作者： ZHANG Gefei FAN Dan ZHANG Yuqing LI Xiaowei National Computer Network Intrusion Protection Center University of Chinese Academy of Sciences State Key Laboratory of Information Security Institute of Information EngineeringChinese Academy of Sciences

key exchange protocols using both smart card and password are widely used nowadays since they provide greater convenience and stronger security than protocols using only a *** of these protocols are often limited to simple network systems,and they may have security *** propose a general construction for key exchange protocols using smart card and password to avoid these *** constructed protocol from the general construction has only one additional communication round than the original public encryption *** construction is proven secure under random oracle model,so it can resist several common types of *** is also adapted well to various *** with related protocols,the proposed key exchange protocol generated from the general construction has better secure properties and good computational efficiency in storage cost and operation time.

关键词： General construction Provable secure Smart card Password key exchange protocol

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ATEDU-NET: An Attention-Embedded Deep Unet for multi-disease diagnosis in chest X-ray images, breast ultrasound, and retina fundus

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Computers in Biology and Medicine 2025年 186卷 109708-109708页

作者： Ejiyi, Chukwuebuka Joseph Qin, Zhen Agbesi, Victor K. Ejiyi, Makuachukwu Bennedith Chikwendu, Ijeoma A. Bamisile, Oluwatoyosi F. Onyekwere, Favour Ezinne Bamisile, Olusola O. College of Nuclear Technology and Automation Engineering Chengdu University of Technology Sichuan 610059 China Network and Data Security Key Laboratory of Sichuan Province University of Electronic Science and Technology of China Sichuan Chengdu China School of Computer Science and Engineering University of Electronic Science and Technology of China Chengdu China Pharmacy Department University of Nigeria Nsukka Enugu State Nsukka Nigeria School of Information and Communication Engineering University of Electronic Science and Technology of China Chengdu China

In image segmentation for medical image analysis, effective upsampling is crucial for recovering spatial information lost during downsampling. This challenge becomes more pronounced when dealing with diverse medical image modalities, which can significantly impact model performance. Plain and standard skip connections, widely used in most models, often fall short of maintaining high segmentation accuracy across different modalities, because essential spatial information transferred from the encoder to the decoder is lost. Inspired by these limitations, the Attention-Embedded Deep UNet (ATEDU-Net) is presented here, an innovative framework designed and tested on diverse medical image modalities, including X-ray, breast ultrasound, and retinal fundus images. ATEDU-Net features a unique architecture that combines progressive context refinement modules (PCRM) and global context modules (GCM) within a U-shaped network structure with Convgroup blocks which facilitate the integration of convolutional operations. This allows ATEDU-Net to autonomously capture rich spatial details and crucial contextual information from input images. The GCM captures essential contextual information for informed decision-making, while the PCRM enhances feature attention, resulting in precise and robust segmentation. The experimentation and analysis demonstrate that ATEDU-Net promises to be a powerful tool for medical professionals, aiding in the early detection of chest-related diseases, accurate localization of breast tumors, and early identification of eye diseases. This, in turn, contributes significantly to the formulation of optimal therapeutic strategies, enhancing patient care and outcomes. The versatility of ATEDU-Net is further highlighted by its ability to analyze medical images across various modalities, making it well-suited for the complex task of medical image analysis in diverse clinical scenarios. © 2025 Elsevier Ltd

关键词： Image segmentation

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Computing Power in the Sky: Digital Twin-assisted Collaborative Computing with Multi-UAV networks

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IEEE Transactions on Vehicular Technology 2025年

作者： Wang, Chao Han, Yu Zhang, Long Jia, Ziye Zhang, Hongliang Hong, Choong Seon Han, Zhu Hebei University of Engineering School of Information and Electrical Engineering Handan056038 China Qilu University of Technology Shandong Academy of Sciences Key Laboratory of Computing Power Network and Information Security Ministry of Education Jinan250014 China Nanjing University of Aeronautics and Astronautics College of Electronic and Information Engineering Nanjing211106 China Southeast University National Mobile Communications Research Laboratory Jiangsu Nanjing211111 China Peking University State Key Laboratory of Advanced Optical Communication Systems and Networks School of Electronics Beijing100871 China Kyung Hee University Department of Computer Science and Engineering Gyeonggi-do Yongin-si17104 Korea Republic of University of Houston Department of Electrical and Computer Engineering HoustonTX77004 United States Kyung Hee University Department of Computer Science and Engineering Seoul446-701 Korea Republic of

The collaboration of computing powers (CPs) among unmanned aerial vehicles (UAVs)-mounted edge servers is essential to handle data-intensive tasks of user equipments (UEs). This paper presents a multi-UAV computing power network (CPN) that orchestrates the CP resources of edge servers to cooperatively process tasks through collaborative computing. Due to the frequent interactions among edge servers and the increased complexities for large-scale task executions, we propose a digital twin (DT)-driven multi-UAV CPN framework, where the aerial DT network is created as a digital replica of the multi-UAV network to assist collaborative computing. A joint optimization problem of the service association, offloading power control, task partitions, CP allocation, and UAV trajectory design is formulated to minimize the long-term average delay of UEs. We use the Lyapunov technique to tackle the long-term energy constraint, forming a tractable optimization problem, which is modeled as a Markov decision process to balance the UAV's deficit queue stability and the UE's task completion delay. A hybrid soft actor-critic based deep reinforcement learning algorithm is developed to optimize the joint design by sampling the hybrid action from the Gumbel and Gaussian distributions. Simulation results verify that the multi-UAV CPN contributes to significant performance gains when supported by DTs. © 2025 IEEE.

关键词： Markov processes

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Sensitive Data Comparison Algorithm Based Spatio-temporal Label Distribution Fusion 2

Sensitive Data Comparison Algorithm Based Spatio-temporal La...

引用

2nd International Conference on Algorithms, High Performance Computing and Artificial Intelligence, AHPCAI 2022

作者： Yu, Pengfei Shi, Congcong State Grid Smart Grid Research Institute Co. Ltd State Grid Key Laboratory of Information & Network Security Nanjing China

While the IoT cooperates with big data to deeply reconstruct all walks of life, it also poses more severe challenges to data security. Accurate identification of sensitive data is a prerequisite for data security. Compared with traditional machine learning algorithms, deep learning algorithms show great functionality and flexibility in large-scale data processing. However, the existing deep learning-based sensitive data identification methods focus on the mining of a single content feature, ignoring contextual information, and the identification accuracy of sensitive data with insignificant content features is not ***, this paper proposes a sensitive data comparison algorithm based on spatiotemporal label distribution fusion. The algorithm can simultaneously model the spatial and temporal patterns of the data flow, mine the spatial and temporal labels, and identify the type of data through a comprehensive judgment strategy. It solves the problem of identifying sensitive data with insignificant content characteristics. Finally, the algorithm is independently repeated experiments on multiple data sets and compared with multiple algorithms. The results show that the Best F-score and NAB score of this model are significantly better than other algorithms, which are 0.812 and 69.2, respectively. The algorithm proposed in this paper can more accurately identify sensitive data. © 2022 Copyright for this paper by its authors. Use permitted under Creative Commons License Attribution 4.0 International (CC BY 4.0).

关键词： Sensitive data

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