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Delayed interference-based broadband optical chaos generation in a mutual coupled RSOA and DFB system

Optics Letters 2025年第10期50卷 3381-3384页

作者： Qian, Jiahao Jiang, Ning Li, Anran Zhang, Yiqun Xu, Bingjie Huang, Wei Qiu, Kun School of Information and Communication Engineering University of Electronic Science and Technology of China Chengdu 611731 China Tianfu Jiangxi Laboratory Chengdu 641419 China National Key Laboratory of Security Communication Chengdu 610041 China

In this Letter, a delayed interference (DI)-based chaos generation scheme in a mutually coupled system consisting of a reflective semiconductor optical amplifier (RSOA) and a distributed feedback (DFB) semiconductor laser is proposed. We experimentally demonstrate its capability of generating broadband chaos with a large effective bandwidth and a flat power spectrum, and the influences of relevant parameters on the system performance are thoroughly analyzed. Compared to the conventional optical feedback-based chaos generation schemes, the proposed system can simultaneously output two chaotic signals with enhanced bandwidth and high spectral flatness. Moreover, the time-delay signature (TDS) of chaotic signals generated by this configuration is also effectively suppressed. © 2025 Optica Publishing Group. All rights, including for text and data mining (TDM), Artificial Intelligence (AI) training, and similar technologies, are reserved.

关键词： Distributed feedback lasers Passive optical networks Random number generation Semiconductor lasers Semiconductor optical amplifiers Variable optical attenuators

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Threshold Password-Hardening Updatable Oblivious Key Management

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IEEE Transactions on Information Forensics and security 2025年 20卷 4799-4814页

作者： Jiang, Changsong Xu, Chunxiang Liu, Zhen Dong, Xinfeng Zhang, Wenzheng University of Electronic Science and Technology of China School of Computer Science and Engineering Chengdu611731 China Singapore Management University School of Computing and Information Systems Bras Basah 188065 Singapore Huzhou313001 China Beijing Institute of Technology School of Cyberspace Science and Technology Beijing100081 China Science and Technology on Communication Security Laboratory Chengdu610041 China

We propose a threshold password-hardening updatable oblivious key management system dubbed TPH-UOKM for cloud storage. In TPH-UOKM, a group of key servers share a user-specific secret key for a user, and assist the user in producing her/his password-derived private key in a threshold and oblivious way, where the password is hardened to resist offline dictionary guessing attacks. Anyone can outsource data protected with the user's password-derived public key to the cloud server, and merely the user holding the correct password can recover the password-derived private key for data access. TPH-UOKM can accomplish decryption of N ciphertexts with the complexity O(1) of communication between a user and the key servers, which outperforms existing schemes. TPH-UOKM supports password update. The cloud server can update all protected data of a user with an update token to be accessible only with the new password, which resists password leakage. We present a two-level proactivization mechanism to periodically update user-specific secret key shares and the key servers to thwart perpetual compromise of them, where the renewal of user-specific secret key shares reduces computation and communication costs compared to existing approaches. Provable security and high efficiency of TPH-UOKM are demonstrated by comprehensive analyses and performance evaluations. © 2005-2012 IEEE.

关键词： Information management

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Vertin: Fast, communication-friendly and Key-compact secure inference system for NNs and LLMs

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Journal of Information security and Applications 2025年 91卷

作者： Bie, Xin Liu, Zhenhua Liang, Han School of Mathematics and Statistics Xidian University Xi'an710071 China Science and Technology on Communication Security Laboratory Chengdu610041 China

Existing secure inference schemes based on function secret sharing (FSS) allow the client to obtain inference results while protecting the client's inputs, the server's neural networks (NNs), and large language models (LLMs), ensuring high online efficiency. However, there is still room for improvement in terms of storage, communication, and inference speed for linear layers in these schemes. In this work, we introduce a novel semi-honest secure two-party inference system tailored for NNs and LLMs, which surpasses state-of-the-art solutions in speed, communication efficiency, and key storage. Our system leverages plaintext weight matrices for the server, introducing FMLO, a secure two-party computation protocol supporting linear operations. By using precomputed random matrices correlated with weight matrices, FMLO minimizes key storage, online computation, and communication demands. We also develop two efficient protocols, πMulPre for matrix multiplication and πConvPre for matrix convolution, by using vector oblivious linear evaluation. Both protocols batch-generate required random numbers securely in the offline phase, reducing preprocessing overhead in FMLO. Compared to the leading FSS-based scheme Orca, Vertin reduces key storage by 5.37%, online communication by 16.46%, and online inference time by 10.71% in secure inference with ResNet-50. When compared to the state-of-the-art SIGMA on BERT-large model with the sequence length of 64, Vertin achieves reductions in key storage, online communication, and online runtime by 9.81%, 9.17%, and 8.9% respectively. © 2025

关键词： Matrix algebra

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Fault－tolerant multi－biometric recognition system based on neural network

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IEEE Transactions on Instrumentation and Measurement 2025年 74卷

作者： Zhang, Zhongxia Zhang, Wenzheng Pan, Shanhai China Electronics Technology Cyber Security Co Lt Chengdu610041 China Science and Technology on Communication Security Laboratory Chengdu610041 China No.30 Institute of China Electronics Technology Group Corporation Chengdu610041 China

The multi-biometric system ingeniously integrates multiple homogenous or heterogeneous biometric features, enhancing the precision and security of identity verification compared to single biometric systems. However, this advantage comes with the challenge of increased costs, primarily due to the need for additional acquisition devices. Besides, biometric characteristics are vulnerable to damage in practical applications, thereby affecting recognition performance. To solve the above problems, this paper innovatively proposes a fault-tolerant multi-biometric system based on homogeneous five-finger vein images, effectively avoiding the extra costs associated with integrating heterogeneous biometric features. The system sets threshold conditions for successful recognition: when the number of correct finger vein images meeting the requirements reaches a preset standard. In other words, this system possesses fault tolerance, allowing for a certain number of users’ finger characteristics to be damaged. This establishes a flexible threshold recognition mechanism that enhances the system’s practicality and reliability. Specifically, an attention weight model (AWModel) was initially developed to dynamically adjust the weight strategy and effectively reinforce the significance of each sample in the overall analysis. Subsequently, a convolutional attention model (CAModel) was further designed to explore and extract in-depth features of the data. Finally, the features extracted by AWModel and CAModel were seamlessly integrated to form a more comprehensive and representative feature for classification. The experiment was conducted on three public databases, fully validating the system’s recognition performance and fault tolerance in multi-biometric fields. © 1963-2012 IEEE.

关键词： Biometrics

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Attribute-Based Policy-Hiding Redactable Blockchain With Authorizable Verification for Energy Internet

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IEEE Internet of Things Journal 2025年

作者： Xue, Jingting Liu, Liang Li, Fagen Jing, Ximin Zhang, Wenzheng Zhang, Xiaojun Zhou, Yu Southwest Petroleum University School of Computer Science and Software Engineering Engineering Research Center for Intelligent Oil and Gas Exploration Chengdu 610500 China University of Electronic Science and Technology of China School of Computer Science and Engineering Chengdu 611731 China Institute of Southwestern Communication Science and Technology on Communication Security Laboratory Chengdu 610041 China

The goal of the energy internet is to enable communication between distributed energy endpoints to facilitate information exchange and trading matching. Blockchain, which ensures content consistency, bridges the gaps between multiple energy stakeholders and satisfies the need for universal trust. However, applying blockchain directly in peer-to-peer trading can result in the permanent inclusion of illegal or outdated data in blockchain databases, hindering efficient interaction. Driven by emerging application requirements and legal regulations, redactable blockchain (EuroS&P 2017) was introduced, allowing the block history to be rewritten via collisions in chameleon hash functions. Nevertheless, current solutions still face challenges, including trapdoor security risks, privacy leakage, and indefinite redactions. This paper presents a redactable energy blockchain scheme (REBS) with partially attribute-based policy hiding, which enables controlled multi-authority key generation and redactor attribute verification. To prevent the abuse of redaction permission, REBS employs time-updatable chameleon hash functions for redaction. Additionally, we design a delegation algorithm that adds dynamic flexibility to attribute verification nodes, permitting them to delegate key share distribution authority to other nodes on demand. The detailed security proofs and performance evaluations demonstrate the feasibility of REBS. © 2014 IEEE.

关键词： Attribute-based policy hiding Authorizable verification Distributed energy trading Privacy protection Redactable blockchain

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Improving key rates by tighter information reconciliation leakage estimation for quantum key distribution

arXiv

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arXiv 2025年

作者： Mao, Hao-Kun Yang, Bo Qiao, Yu-Cheng Yan, Bing-Ze Zhao, Qiang Xu, Bing-Jie Li, Qiong School of Cyberspace Science Faculty of Computing Harbin Institute of Technology Harbin150080 China Guangxi Key Lab Cryptography and Information Security Guilin University of Electronic Technology Guangxi Guilin541004 China School of Information Engineering Zhejiang Ocean University Zhoushan316022 China Science and Technology on Security Communication Laboratory Institute of Southwestern Communication Chengdu610041 China

Previous research has aimed to precisely estimate information leakage to improve the secure key rate (SKR) and maximum transmission distance in quantum key distribution (QKD). However, existing methods repeatedly considerd the information of the multi-photon pulses known to Eve before and after information reconciliation, resulting in an overestimation of the leakage amount. We propose a novel approach that considers the quantum part’s effect on post-processing, providing a more accurate estimation of information reconciliation leakage to improve the SKR. Theoretical analysis shows that our method more accurately estimates the information reconciliation leakage, significantly improving the SKR at any distance as well as the maximum transmission distance. It is worth mentioning that previous studies treat information leakage of the error correction as Shannon bound Nh(e), and our method can estimate it more tightly. Simulation results for decoy-BB84 and measurement-device-independent (MDI) protocols using Cascade are consistent with the theoretical analysis. The farther the transmission distance, the greater the growth rate of SKR. When the error rate is 33%, compared with the original method, the SKR growth rate of decoy-BB84 at 100KM is 100.4%, and the transmission distance of MDI increases by 22KM. Copyright © 2025, The Authors. All rights reserved.

关键词： Information leakage

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Image encryption technique based on new two-dimensional fractional-order discrete chaotic map and Menezes–Vanstone elliptic curve cryptosystem

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Chinese Physics B 2018年第3期27卷 161-176页

作者： Zeyu Liu Tiecheng Xia Jinbo Wang Department of Mathematics Shanghai UniversityShanghai 200444China Science and Technology on Communication Security Laboratory Chengdu 610041China

We propose a new fractional two-dimensional triangle function combination discrete chaotic map(2D-TFCDM)with the discrete fractional ***,the chaos behaviors of the proposed map are observed and the bifurcation diagrams,the largest Lyapunov exponent plot,and the phase portraits are derived,***,with the secret keys generated by Menezes-Vanstone elliptic curve cryptosystem,we apply the discrete fractional map into color image *** that,the image encryption algorithm is analyzed in four aspects and the result indicates that the proposed algorithm is more superior than the other algorithms.

关键词： chaos fractional two-dimensional triangle function combination discrete chaotic map image encryption Menezes-Vanstone elliptic curve cryptosystem

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Decoy-state method for quantum-key-distribution-based quantum private query

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science China(Physics,Mechanics & Astronomy) 2022年第4期65卷 41-48页

作者： Bin Liu Shuang Xia Di Xiao Wei Huang Bingjie Xu Yang Li College of Computer Science Chongqing UniversityChongqing 400044China Science and Technology on Communication Security Laboratory Institute of Southwestern CommunicationChengdu 610041China

The quantum private query(QPQ)is a quantum solution for the symmetrically private information retrieval *** study the security of quantum-key-distribution-based QPQ with weak coherent *** result shows that multiphoton pulses have posed a serious threat to the participant’s privacy in QPQ *** we propose a decoy-state method that can help the honest participant detect the attack by exploiting multiphoton pulses and improving the key distillation process to defend against such *** analysis demonstrates that our decoy-state method significantly improves the security of the QPQ with weak coherent pulses,which solves a major obstacle in the practical application of the QPQ.

关键词： quantum private query symmetrically private information retrieval quantum key distribution decoy state weak coherent pulse

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New State Recovery Attacks on the Grain v1 Stream Cipher

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China communications 2016年第11期13卷 180-188页

作者： Lin Ding Chenhui Jin Jie Guan Shaowu Zhang Junzhi Li Hong Wang Wei Zhao Zhengzhou Information Science and Technology Institute 450000 Zhengzhou China Science and Technology on Communication Security Laboratory 610041 Chengdu China

The Grain v1 stream cipher is one of the seven finalists in the final e STREAM portfolio. Though many attacks have been published,no recovery attack better than exhaustive key search on full Grain v1 in the single key setting has been found yet. In this paper,new state recovery attacks on Grain v1 utilizing the weak normality order of the employed keystream output function in the cipher are proposed. These attacks have remarkable advantages in the offline time,online time and memory complexities,which are all better than exhaustive key search. The success probability of each new attack is 0.632. The proposed attack primarily depends on the order of weak normality of the employed keystream output function. This shows that the weak normality order should be carefully considered when designing the keystream output functions of Grain-like stream ciphers.

关键词： cryptanalysis grain v1 stream cipher weak normality order

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Construction of balanced Boolean functions with high nonlinearity, good local and global avalanche characteristics

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Frontiers of Mathematics in China 2016年第2期11卷 339-352页

作者： Luyang LI Yujuan SUN Weiguo ZHANG ISN Laboratory Xidian University Xi'an 710071 China Science and Technology on Communication Security Laboratory Chengdu 610041 China

Boolean functions possessing multiple cryptographic criteria play an important role in the design of symmetric cryptosystems. The following criteria for cryptographic Boolean functions are often considered： high nonlinearity, balancedness, strict avalanche criterion, and global avalanche characteristics. The trade-off among these criteria is a difficult problem and has attracted many researchers. In this paper, two construction methods are provided to obtain balanced Boolean functions with high nonlinearity. Besides, the constructed functions satisfy strict avalanche criterion and have good global avalanche characteristics property. The algebraic immunity of the constructed functions is also considered.

关键词： Boolean function cryptography nonlinearity strict avalanchecriterion （SAC） global avalanche characteristics

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