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Detection of Perfect Stealthy Attacks on Cyber-Physical systems Subject to Measurement Quantizations: A Watermark-Based Strategy

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IEEE/CAA Journal of Automatica Sinica 2025年第1期12卷 114-125页

作者： Yu-Ang Wang Zidong Wang Lei Zou Bo Shen Hongli Dong the College of Information Science and Technology Donghua University the Engineering Research Center of Digitalized Textile and Fashion Technology Ministry of Education IEEE the College of Electrical Engineering and Automation Shandong University of Science and Technology the Department of Computer Science Brunel University London Uxbridge the Sanya Offshore Oil and Gas Research Institute Northeast Petroleum University the Artificial Intelligence Energy Research Institute Northeast Petroleum University Heilongjiang Provincial Key Laboratory of Networking and Intelligent Control Northeast Petroleum University

In this paper, the attack detection problem is investigated for a class of closed-loop systems subjected to unknownbutbounded noises in the presence of stealthy attacks. The measurement outputs from the sensors are quantized before transmission.A specific type of perfect stealthy attack, which meets certain rather stringent conditions, is taken into account. Such attacks could be injected by adversaries into both the sensor-toestimator and controller-to-actuator channels, with the aim of disrupting the normal data flow. For the purpose of defending against these perfect stealthy attacks, a novel scheme based on watermarks is developed. This scheme includes the injection of watermarks(applied to data prior to quantization) and the recovery of data(implemented before the data reaches the estimator).The watermark-based scheme is designed to be both timevarying and hidden from adversaries through incorporating a time-varying and bounded watermark signal. Subsequently, a watermark-based attack detection strategy is proposed which thoroughly considers the characteristics of perfect stealthy attacks,thereby ensuring that an alarm is activated upon the occurrence of such attacks. An example is provided to demonstrate the efficacy of the proposed mechanism for detecting attacks.

关键词： Attack detection cyber-physical systems (CPSs) perfect stealthy attacks watermark-based strategy

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Modeling and Simulation of Digital Closed-loop Fiber Optic Gyroscope Based on Sigma-delta Modulation

Modeling and Simulation of Digital Closed-loop Fiber Optic G...

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2022 International Conference on Electronic information engineering and Computer science, EIECS 2022

作者： Zhang, Jian Li, Hong Xin, Jingtao Zhu, Lianqing Key Laboratory of the Ministry of Education for Optoelectronic Measurement Technology and Instrument Beijing Information Science & Technology University Beijing China Beijing Laboratory of Optical Fiber Sensing and System Beijing Information Science & Technology University Beijing China

ISBN: (纸本)9781510663312

This paper proposes a closed-loop fiber optic gyroscope control method based on the Sigma-delta modulation technique to improve the fiber optic gyroscope proportional-integral control method. Firstly, the sampling control system of digital closed-loop fiber optic gyro is established. Secondly, the fiber optic gyro digital closed-loop Sigma-delta modulator is designed and combined with the original system after the integrator. Simulation analysis is performed for both closed-loop control methods. Simulation results show that the maximum output noise amplitude of the original system is 2.8 deg/s and the maximum noise amplitude of the improved system is 0.8 deg/s under the input of a ramp signal with 100dB white noise. The noise amplitude is reduced by one order of magnitude, and the noise density is also significantly reduced. The proposed closed-loop control method of fiber optic gyro based on Sigma-delta modulation can effectively suppress the high-frequency noise of the weak signal of the gyro output, which has a promising application for the dynamic performance and noise suppression of fiber optic gyro. © 2023 SPIE.

关键词： Delta sigma modulation

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Operando modeling and measurements:Powerful tools for revealing the mechanism of alkali carbonate-based sorbents for CO_(2)capture in real conditions

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Frontiers in Energy 2023年第3期17卷 380-389页

作者： Tianyi CAI Mengshi WANG Xiaoping CHEN Ye WU Jiliang MA Wu ZHOU School of Energy and Power Engineering Shanghai Key Laboratory of Multiphase Flow and Heat Transfer in Power EngineeringUniversity of Shanghai for Science and TechnologyShanghai 200093China Key Laboratory of Energy Thermal Conversion and Control of the Ministry of Education School of Energy and EnvironmentSoutheast UniversityNanjing 210096China Key Laboratory of Thermal Control of Electronic Equipment and Advanced Combustion Laboratory of the Ministry of Industry and Information Technology School of Energy and Power EngineeringNanjing University of Science and TechnologyNanjing 210094China

Alkalicarbonate-based sorbents(ACSs),including Na_(2)CO_(3)-and K2CO_(3)-based sorbents,are promising for CO_(2)***,the complex sorbent components and operation conditions lead to the versatile kinetics of CO_(2)sorption on these *** paper proposed that operando modeling and measurements are powerful tools to understand the mechanism of sorbents in real operating conditions,facilitating the sorbent development,reactor design,and operation parameter *** reviewed the theoretical simulation achievements during the development of *** elucidated the findings obtained by utilizing density functional theory(DFT)calculations,ab initio molecular dynamics(AIMD)simulations,and classical molecular dynamics(CMD)simulations as *** hygroscopicity of sorbent and the humidity of gas flow are crucial to shifting the carbonation reaction from the gas-solid mode to the gas-liquid mode,boosting the ***,it briefly introduced a machine learning(ML)approach as a promising method to aid sorbent ***,it demonstrated a conceptual compact operando measurement system in order to understand the behavior of ACSs in the real operation *** proposed measurement system includes a micro fluidizedbed(MFB)reactor for kinetic analysis,a multi-camera sub-system for 3D particle movement tracking,and a combined Raman and IR sub-system for solid/gas components and temperature *** is believed that this system is useful to evaluate the real-time sorbent performance,validating the theoretical prediction and promoting the industrial scale-up of ACSs for CO_(2)capture.

关键词： CO_(2)capture carbonation theoretical modeling operando techniques reaction visualization

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Distributed Optical Phase-sensitive Reflectometry Based on Continuous FrFT-DC Signal 28

Distributed Optical Phase-sensitive Reflectometry Based on C...

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28th International Conference on Optical Fiber Sensors, OFS 2023

作者： Hu, Zihe Zhao, Can Tang, Ming National Engineering Laboratory for Next Generation Internet Access System School of Optical and Electronic Information Huazhong University of Science and Technology Wuhan430074 China

We propose a phase-sensitive reflectometry using a continuous probe generated by fractional Fourier transform (FrFT) of a direct current signal. High-performance pulse compression is achieved by a single FrFT operatio... 详细信息

ISBN: (纸本)9781957171302

关键词： Reflection

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Gait Sequence Upsampling using Diffusion Models for Single LiDAR Sensors

Gait Sequence Upsampling using Diffusion Models for Single L...

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2025 IEEE/SICE International Symposium on system Integration, SII 2025

作者： Ahn, Jeongho Nakashima, Kazuto Yoshino, Koki Iwashita, Yumi Kurazume, Ryo Kyushu University Graduate School of Information Science and Electrical Engineering Japan Kyushu University Faculty of Information Science and Electrical Engineering Japan California Institute of Technology Jet Propulsion Laboratory United States

ISBN: (纸本)9798331531614

Recently, 3D LiDAR has emerged as a promising technology in the field of gait-based person identification, serving as an alternative to traditional RGB cameras due to its robustness under varying lighting conditions and its ability to capture 3D geometric information. However, long capture distances or the use of low-cost LiDAR sensors often result in sparse human point clouds, leading to a significant decline in identification performance. To address these challenges, we propose a sparse-to-dense upsampling model for pedestrian point clouds in gait recognition using 3D LiDAR, named LidarGSU, which is designed to enhance the generalization capability of existing identification models. Our method utilizes diffusion probabilistic models (DPMs), which have shown high fidelity in generative tasks such as image completion. In this work, we leverage DPMs on sparse sequential pedestrian point clouds as conditional masks in a video-to-video translation approach, applied in an inpainting manner. We conducted extensive experiments on the SUSTeck1K dataset to evaluate the generative quality and recognition performance of the proposed method. Furthermore, we demonstrate the applicability of our upsampling model using a real-world dataset, captured with a low-resolution sensor across varying measurement distances. © 2025 IEEE.

关键词： Image enhancement

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Action Recognition and Detection Based on Deep Learning: A Comprehensive Summary

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Computers, Materials & Continua 2023年第10期77卷 1-23页

作者： Yong Li Qiming Liang Bo Gan Xiaolong Cui College of Information Engineering Engineering University of PAPXi’an710086China PAP of Heilongjiang Province Heihe DetachmentHeihe164300China National Key Laboratory of Science and Technology on Electromagnetic Energy Naval University of EngineeringWuhan430033China Joint Laboratory of Counter Terrorism Command and Information Engineering Engineering University of PAPXi’an710086China

Action recognition and detection is an important research topic in computer vision,which can be divided into action recognition and action *** present,the distinction between action recognition and action detection is not clear,and the relevant reviews are not ***,this paper summarized the action recognition and detection methods and datasets based on deep learning to accurately present the research status in this ***,according to the way that temporal and spatial features are extracted from the model,the commonly used models of action recognition are divided into the two stream models,the temporal models,the spatiotemporal models and the transformer models according to the *** this paper briefly analyzes the characteristics of the four models and introduces the accuracy of various algorithms in common data ***,from the perspective of tasks to be completed,action detection is further divided into temporal action detection and spatiotemporal action detection,and commonly used datasets are *** the perspectives of the twostage method and one-stage method,various algorithms of temporal action detection are reviewed,and the various algorithms of spatiotemporal action detection are summarized in ***,the relationship between different parts of action recognition and detection is discussed,the difficulties faced by the current research are summarized in detail,and future development was prospected。

关键词： Action recognition action detection deep learning convolutional neural networks dataset

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Low-bias,high-photoresponsivity SnSe2 nanofilm with an Au split-ring array-based THz detector toward 6G communication

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science China(information sciences) 2023年第6期66卷 311-312页

作者： Qi SONG Zhiwen ZHOU Yifei XU Min ZHANG Junbo YANG Huawei LIANG Tianwu WANG Peiguang YAN College of Physics and Optoelectronic Engineering Shenzhen University Shandong Key Laboratory of Optical Communication Science and Technology School of Physics Science and Information TechnologyLiaocheng University College of Liberal Arts and Sciences National University of Defense Technology GBA Research Institute Aerospace Information Research Institute of Chinese Academy of Science

6G technology with the four characteristics of an intelligent endogenous,secure endogenous,multi-domain convergence,and integrated computing network,will help society toward an intelligent era [1]. The low power consumption and high photoresponsivity of 6G core devices,and particularly the improvement of detector performance,

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Research on 3D Positioning technology of UWB Single Base Station 14th

Research on 3D Positioning Technology of UWB Single Base Sta...

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14th China Satellite Navigation Conference, CSNC 2024

作者： Zhang, Jingjing Huang, Lu Su, Jia Yang, Zihan Yi, Qingwu School of Information Science and Engineering Hebei University of Science and Technology Hebei050018 China State Key Laboratory of Satellite Navigation System and Equipment Technology The 54th Research Institute of China Electronics Technology Group Corporation Hebei050081 China

ISBN: (纸本)9789819969272

In recent years, in the context of smart cities and the internet of everything, with the rapid development of the intelligent indoor environment, the demand for indoor location services in many industries has become higher and higher, and the need for real-time location of personnel has become more and more urgent. In this paper, a UWB-based circular antenna array single base station is designed for indoor space single base station 3D positioning problem, and the joint Time of Arrival (TOA)/Angle of Arrival (AOA) positioning estimation algorithm is studied. In terms of direction finding, a five-array element direction finding model is established using a uniform circular array, and the Phase Difference of Arrival (PDOA) algorithm is combined to obtain the signal arrival angle information, and TOA is used to complete the distance measurement between the base station and the label, to achieve the calculation of label location information. Also, for the consideration of improving the accuracy of angle measurement, the ambiguity resolution method of antenna array element phase difference for long baseline is proposed. Finally, the system performance was tested and verified in the experimental environments. The results show that the UWB single base station can be used to achieve indoor 3D positioning, its positioning accuracy is better than 1m. Furthermore, the technology can effectively solve problems such as the high deployment cost of multiple base stations, complicated system construction, and so on in practical applications with more excellent application and promotion value. © 2024, Aerospace information Research Institute.

关键词： Base stations

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Re-HGNM: a repeat aware hypergraph neural machine for session-based recommendation

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Neural Computing and Applications 2024年第17期36卷 9661-9674页

作者： Peng, Yuze Xu, Shengjun Huang, Yihua School of Electronics and Information Technology Sun Yat-Sen University Guangdong Guangzhou510006 China The Guangdong Provincial Key Laboratory of Optoelectronic Information Processing Chips and Systems School of Electronics and Information Technology Sun Yat-Sen University Guangdong Guangzhou510006 China Southern Marine Science and Engineering Guangdong Laboratory Guangdong Zhuhai519080 China

Hypergraph neural network (HGNN) for session-based recommendation (SBR) is quite rare but has been rewarded with promising performance. However, under the hypergraph framework, no works have emphasized the importance of repeat consumption, which is an important consumption pattern in SBR (e.g., people watch movies or listen to music repeatedly over time) and limits the performance of SBR in a beyond graph topology manner. For filling this gap and better recommendation performance, this paper incorporates repeat consumption into HGNNs and proposes a new recommendation machine, named Re-HGNM, which leverages the powerful expressiveness of HGNNs in representation learning and takes repeat consumption into account by considering the relationship between repeat behaviors and modeling repeat recommendations. Specially, in the encoder of Re-HGNM, we process sessions as hyperedges, in which the repeated behaviors are merged, to constitute hypergraph that conveys not only the complex relations between unique items but the relationships between repeat behaviors. After learning item representation by hypergraph convolution, a repeat-explore module is employed to determine whether to make repeat recommendation. In repeat mode, the next click must be in old items;thereby, the shrunk prediction space makes it easier to find the target item. Therefore, in the decoding stage, two decoders correspondingly work under two separate modes. Finally, compared with the current best baseline, Re-HGNM relatively improved P@20 by 58.37%, 8.70%, 1.28%, and 1.16% and MRR@20 by 25.52%, 10.31%, 10.76%, and 2.76% on the Tmall, RetailRocket, Nowplaying, and Diginetica, to be the current state-of-the-art model for SBR. © The Author(s), under exclusive licence to Springer-Verlag London Ltd., part of Springer Nature 2023.

关键词： Topology

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A Method for Marine Ship Formation Intention Recognition based on BiConvLSTM-Attention 3

A Method for Marine Ship Formation Intention Recognition bas...

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3rd International Conference on Electronic information engineering and Computer science, EIECS 2023

作者： Xi, Yunqiao Zhang, Junping Liu, Jian Wang, Linlin Xu, Hongfeng Chen, Linxiu Jiang, Jixiang Harbin Institute of Technology School of Electronics and Information Engineering Harbin China Institute of Electrical and Mechanical Engineering Science and Technology on Complex System Control and Intelligent Agent Cooperation Laboratory Beijing China

ISBN: (纸本)9798350316674

To solve the problem that current dynamic intention recognition methods fail to make full use of time domain variation information between multi-temporal group targets, which leads to low accuracy of intention recognition. This paper proposes a bidirectional convolutional long short term memory-attention network for marine formation target intention recognition. The network takes the multi-source trajectory data of the marine ship formation target as the input, extracts and uses the target change rule and time domain characteristics of the Marine formation data, and trains the model to have the ability to independently learn the weight of information in different time periods. The simulation results show that the method has good performance and can meet the needs of practical application. © 2023 IEEE.

关键词： intention recognition long short-term marinship formation temporal features

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