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4th International Conference on Frontiers of Computers and Communication Engineering, FCCE 2023

作者： Tang, Zhu Zhao, Jingjing Li, Hu Guo, Tianhang Wang, Quan Chen, Hongyan Zhao, Baokang National University of Defense Technology College of Computer Changsha China National Key Laboratory of Science and Technology on Information System Security Beijing China

ISBN: (纸本)9798350333169

Recently, mega satellite constellations are very popular for global instant messaging, and inter-satellite links are planned for delay reduction, leading to satellite network architecture finally. Although there are many satellite orbit simulation tools (e.g. STK, Savi) and network simulation tool (e.g. NS2/3, OPNET, Mininet, SNS3), none of them gives good consideration to both. In this paper, a satellite network and orbit integrated simulation platform (Mini-Savi) is proposed for large scale satellite constellation, which is based on the combination of network simulation tool Mininet and orbit simulation tool Savi. Finally, a typical satellite constellation Iridium system is employed for simulation verification. © 2023 IEEE.

关键词： Simulation platform

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Cooperative Caching Strategy Based on Two-Layer Caching Model for Remote Sensing Satellite Networks

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Computers, Materials & Continua 2023年第5期75卷 3903-3922页

作者： Rui Xu Xiaoqiang Di Hao Luo Hui Qi Xiongwen He Wenping Lei School of Computer Science and Technology Changchun University of Science and TechnologyChangchun130022China School of Information Engineering Henan Institute of Science and TechnologyXinxiang453003China Jilin Province Key Laboratory of Network and Information Security Changchun University of Science and TechnologyChangchun130022China Information Center Changchun University of Science and TechnologyChangchun130022China Beijing Institute of Spacecraft System Engineering Beijing100094China Beijing Institute of Space Mechanic and Electricity Beijing100094China

In information Centric Networking(ICN)where content is the object of exchange,in-network caching is a unique functional feature with the ability to handle data storage and distribution in remote sensing satellite *** up cache space at any node enables users to access data nearby,thus relieving the processing pressure on the ***,the existing caching strategies still suffer from the lack of global planning of cache contents and low utilization of cache resources due to the lack of fine-grained division of cache *** address the issues mentioned,a cooperative caching strategy(CSTL)for remote sensing satellite networks based on a two-layer caching model is *** two-layer caching model is constructed by setting up separate cache spaces in the satellite network and the ground *** caching of popular contents in the region at the ground station to reduce the access delay of users.A content classification method based on hierarchical division is proposed in the satellite network,and differential probabilistic caching is employed for different levels of *** cached content is also dynamically adjusted by analyzing the subsequent changes in the popularity of the cached *** the two-layer caching model,ground stations and satellite networks collaboratively cache to achieve global planning of cache contents,rationalize the utilization of cache resources,and reduce the propagation delay of remote sensing *** results show that the CSTL strategy not only has a high cache hit ratio compared with other caching strategies but also effectively reduces user request delay and server load,which satisfies the timeliness requirement of remote sensing data transmission.

关键词： information centric networking caching strategy two-layer caching model hierarchical division

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A Review of Intelligent Configuration and Its security for Complex Networks

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Chinese Journal of Electronics 2024年第4期33卷 920-947页

作者： Yue ZHAO Bin YANG Fei TENG Xianhua NIU Ning HU Bo TIAN Science and Technology on Communication Security Laboratory School of Computer and Information Engineering Chuzhou University School of Computing and Artificial Intelligence Southwest Jiaotong University School of Computer and Software Engineering Xihua University Cyberspace Institute of Advanced Technology Guangzhou University

Complex networks are becoming more complex because of the use of many components with diverse technologies. In fact, manual configuration that makes each component interoperable has breed latent danger to system security. There is still no comprehensive review of these studies and prospects for further research. According to the complexity of component configuration and difficulty of security assurance in typical complex networks, this paper systematically reviews the abstract models and formal analysis methods required for intelligent configuration of complex networks, specifically analyzes, and compares the current key technologies such as configuration semantic awareness, automatic generation of security configuration, dynamic deployment, and verification evaluation. These technologies can effectively improve the security of complex networks intelligent configuration and reduce the complexity of operation and maintenance. This paper also summarizes the mainstream construction methods of complex networks configuration and its security test environment and detection index system, which lays a theoretical foundation for the formation of the comprehensive effectiveness verification capability of configuration security. The whole lifecycle management system of configuration security process proposed in this paper provides an important technical reference for reducing the complexity of network operation and maintenance and improving network security.

关键词： Complex networks Intelligent configuration Configuration security Software defined network Lifecycle management

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Fiber Bragg gratings inscription with a single UV laser pulse by high-temperature arc pretreatment

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Optics Express 2025年第10期33卷 21692-21706页

作者： Xin, Jingtao Liao, Jingjing Yu, Chenbo Li, Qihui Zhu, Lianqing Beijing Information Science and Technology University Key Laboratory of the Ministry of Education for Optoelectronic Measurement Technology and Instrument Beijing100101 China Guangzhou Nansha Intelligent Photonic Sensing Research Institute Guangzhou100094 China Beijing Information Science and Technology University Beijing Laboratory of Optical Fiber Sensing and System Beijing130033 China

This study proposes a high-temperature arc discharge pretreatment method to enhance the photosensitivity of hydrogen-loaded germanium-doped fibers for single-pulse FBG inscription. By coupling hydrogen diffusion dynamics with hydroxyl reaction kinetics, a numerical model based on Fick’s law and Arrhenius equations was established. Finite difference analysis revealed that 400°C with 50 ms heating maximizes hydroxyl concentration while suppressing hydrogen escape. In the experiments study, the pretreatment temperature and duration are controlled by adjusting the electrode discharge power and discharge time. The effectiveness of fiber sensitization is verified through single-pulse grating writing using a phase mask and a 248 nm ultraviolet laser. After optimizing the heat treatment parameters, fiber Bragg gratings (FBGs) with a reflectivity exceeding 83.7% were successfully written using a single pulse laser of 160mJ, representing a 130-fold improvement compared to the results obtained without heat treatment. This method not only enhances the efficiency of FBG writing but also fundamentally mitigates the issue of grating erasure, significantly reducing the stability requirements for the writing system. © 2025 Optica Publishing Group under the terms of the Optica Open Access Publishing Agreement.

关键词： Fiber Bragg gratings

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Open World Recognition of Communication Jamming Signals

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China Communications 2023年第6期20卷 199-214页

作者： Yan Tang Zhijin Zhao Jie Chen Shilian Zheng Xueyi Ye Caiyi Lou Xiaoniu Yang School of Communication Engineering Hangzhou Dianzi UniversityHangzhou 310018China Science and Technology on Communication Information Security Control Laboratory Jiaxing 314033China

To improve the recognition ability of communication jamming signals,Siamese Neural Network-based Open World Recognition(SNNOWR)is *** algorithm can recognize known jamming classes,detect new(unknown)jamming classes,and unsupervised cluseter new *** network of SNN-OWR is trained supervised with paired input data consisting of two samples from a known *** the one hand,the network is required to have the ability to distinguish whether two samples are from the same *** the other hand,the latent distribution of known class is forced to approach their own unique Gaussian distribution,which is prepared for the subsequent open set *** the test,the unknown class detection process based on Gaussian probability density function threshold is designed,and an unsupervised clustering algorithm of the unknown jamming is realized by using the prior knowledge of known *** simulation results show that when the jamming-to-noise ratio is more than 0d B,the accuracy of SNN-OWR algorithm for known jamming classes recognition,unknown jamming detection and unsupervised clustering of unknown jamming is about 95%.This indicates that the SNN-OWR algorithm can make the effect of the recognition of unknown jamming be almost the same as that of known jamming.

关键词： communication jamming signals Siamese Neural Network Open World Recognition unsupervised clustering of new jamming type Gaussian probability density function

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A Code-Based ISE to Protect Boolean Masking in Software

IACR Transactions on Cryptographic Hardware and Embedded Sys...

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IACR Transactions on Cryptographic Hardware and Embedded systems 2025年第2期2025卷 293-332页

作者： Tian, Qi Cheng, Hao Guo, Chun Page, Daniel Wang, Meiqin Wang, Weijia School of Cyber Science and Technology Shandong University Qingdao China Quan Cheng Laboratory Jinan China Key Laboratory of Cryptologic Technology and Information Security Ministry of Education Shandong University Qingdao China School of Computer Science University of Bristol Bristol United Kingdom

Side-Channel Attacks (SCAs) pose a significant threat to data security in embedded environments. To counteract the power-based SCAs, masking is a widely used defense technique, that introduces randomness to obscure the side-channel information generated during the processing of secret data. However, in practice, some challenges exist when implementing masking schemes. For example, in the implementation of Boolean masking, they may refer to low noise level and implementation flaws. To address the said implementation challenges, we present an effective and efficient solution that incorporates the code-based masking technique: We mask the shares of Boolean masking with code-based masking and then use a self-designed Instruction Set Extension (ISE) to perform efficient private computations within this masked domain. Based on a 32-bit RISC-V Ibex core, we develop a prototype implementation of our ISE, whereby it mainly wraps the ALU with three code-based encoders/decoders and integrates a leakage-resilient pseudo-random generator (PRG). Compared to the base core (vanilla Ibex), the hardware overhead of the ISE implementation is only 8%. The security evaluation based on formal verification and practical evaluation demonstrates that our ISE can provide a more robust practical security guarantee. Furthermore, our approach significantly reduces the signal-to-noise ratio (SNR) of each share, decreasing it to just 2% of the original SNR on the base core. © 2025, Ruhr-University of Bochum. All rights reserved.

关键词： Side channel attack

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A Blackbox Fuzzing Based on Automated State Machine Extraction 8

A Blackbox Fuzzing Based on Automated State Machine Extracti...

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8th International Conference on Data science in Cyberspace, DSC 2023

作者： Zhang, Zhaowei Yu, Wenjing Wang, Zibin Xiang, Youlin National Key Laboratory of Science and Technology on Information System Security Beijing China School of Computer Science Fudan University Shanghai Key Laboratory of Data Science Shanghai China

ISBN: (纸本)9798350331035

Currently, protocol fuzzing techniques mainly employ two approaches: greybox fuzzing based on mutation and blackbox fuzzing based on generation. Greybox fuzzing techniques use message exchanges between the protocol server and actual clients as seeds, and generate test cases through mutation. Although this approach can provide coverage information of the SUT's code and state space through instrumentation and feedback, its drawback lies in the relatively random mutation strategy, which makes it challenging to validate the SUT's message verification process. This paper addresses this limitation by utilizing artificial intelligence techniques to extract protocol state machines. It aims to overcome the reliance on manual work in blackbox fuzzing based on generation and leverage its advantages to generate more effective fuzzing test cases. The study utilizes Prompt-Learning technology to analyze the semantic information in protocol RFC documents, obtain corresponding intermediate representations, and extract protocol state machines from these representations. Taking the BGP protocol as an experimental subject, the experimental results demonstrate a certain level of accuracy in the obtained protocol state machines and the ability to generate test cases from these state machines, thereby enhancing the automation level of protocol fuzzing. © 2023 IEEE.

关键词： fuzzing network protocols network security protocol testing state machine extraction

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Three-axis high-sensitivity vibration sensor based on ultra-fine and ultra-short fiber Bragg gratings

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IEEE Sensors Journal 2025年第12期25卷 21557-21565页

作者： Yu, Chenbo Xin, Jingtao Liao, JingJing Li, Qihui Li, Kun Beijing Information Science & Technology University Key Laboratory of the Ministry of Education for Optoelectronic Measurement Technology and Instrument Beijing100192 China Guangzhou Nansha Intelligent Photonic Sensing Research Institute Guangzhou511462 China Beijing Information Science & Technology University Beijing Laboratory of Optical Fiber Sensing and System Beijing100016 China

This paper presents a three-axis high-sensitivity vibration sensor based on ultra-fine and ultra-short fiber Bragg gratings (FBGs). A theoretical model for the sensor's sensitivity and natural frequency is developed by deriving equations for steady-state torque balance. The effects of spring plate thickness, fiber diameter, and FBG packaging length on sensor performance are analyzed by this model. Results show that spring plate thickness has almost no impact, reducing fiber diameter improves sensitivity, and shortening FBG packaging length increases natural frequency. Therefore, based on the ultra-fine and ultra-short fiber Bragg gratings, the sensor is 3D modeled and fabricated. The performance of the sensor is verified through finite element analysis and experiments. The experimental results show that the natural frequencies of the sensor in X, Y, and Z directions are 466 Hz, 477 Hz, and 445 Hz, respectively, with a working frequency band of 0-300 Hz, and sensitivities of 2258.4, 2240.8, and 2274.2 pm/g, respectively. The linearity in the three-axis directions reaches R² = 0.9998, and the minimum acceleration resolution is about 95 μg. The sensor's performance, characterized by high sensitivity, wide bandwidth, and excellent three-axis consistency, offering valuable insights for high-sensitivity sensor designs. © 2025 IEEE.

关键词： Fiber Bragg gratings

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Research on privacy information retrieval model based on hybrid homomorphic encryption

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Cybersecurity 2024年第4期7卷 52-61页

作者： Wei-tao Song Guang Zeng Wen-zheng Zhang Dian-hua Tang Science and Technology on Communication Security Laboratory.Chengdu 610041 China Zhejiang University Hangzhou 311200China PLA SSF Information Engineering University Zhengzhou 450000China College of Computer Science and Technology National University of Defense TechnologyChangsha 410073China

The computational complexity of privacy information retrieval protocols is often linearly related to database *** the database size is large,the efficiency of privacy information retrieval protocols is relatively *** paper designs an effective privacy information retrieval model based on hybrid fully homomorphic *** assignment method is cleverly used to replace a large number of homomorphic encryption *** the same time,the multiplicative homomorphic encryption scheme is first used to deal with the large-scale serialization in the search,and then the fully homomorphic encryption scheme is used to deal with the remaining simple *** depth of operations supported by the fully homomorphic scheme no longer depends on the size of the database,but only needs to support the single homomorphic encryption scheme to decrypt the circuit *** on this hybrid homomorphic encryption retrieval model,the efficiency of homomorphic privacy information retrieval model can be greatly improved.

关键词： Cryptography Hybrid homomorphic encryption Privacy protection Private information retrieval

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Solving Multi-Objective Vehicle Routing Problems with Time Windows: A Decomposition-Based Multiform Optimization Approach

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Tsinghua science and technology 2024年第2期29卷 305-324页

作者： Yiqiao Cai Zifan Lin Meiqin Cheng Peizhong Liu Ying Zhou Xiamen Key Laboratory of Data Security and Blockchain Technology College of Computer Science and TechnologyHuaqiao UniversityXiamen361021China College of Engineering Huaqiao UniversityQuanzhou362000China School of Computer Sciences Shenzhen Institute of Information TechnologyShenzhen518000China

In solving multi-objective vehicle routing problems with time windows (MOVRPTW),most existing algorithms focus on the optimization of a single problem formulation. However,little effort has been devoted to exploiting valuable knowledge from the alternate formulations of MOVRPTW for better optimization performance. Aiming at this insufficiency,this study proposes a decomposition-based multi-objective multiform evolutionary algorithm (MMFEA/D),which performs the evolutionary search on multiple alternate formulations of MOVRPTW simultaneously to complement each other. In particular,the main characteristics of MMFEA/D are three folds. First,a multiform construction (MFC) strategy is adopted to construct multiple alternate formulations,each of which is formulated by grouping several adjacent subproblems based on the decomposition of MOVRPTW. Second,a transfer reproduction (TFR) mechanism is designed to generate offspring for each formulation via transferring promising solutions from other formulations,making that the useful traits captured from different formulations can be shared and leveraged to guide the evolutionary search. Third,an adaptive local search (ALS) strategy is developed to invest search effort on different alternate formulations as per their usefulness for MOVRPTW,thus facilitating the efficient allocation of computational resources. Experimental studies have demonstrated the superior performance of MMFEA/D on the classical Solomon instances and the real-world instances.

关键词： MOVRPTW multiform optimization multiform construction knowledge transfer adaptive local search

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