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arXiv 2022年

作者： Leng, Xinlin Li, Chenxu Xu, Weifeng Sun, Yuyan Wang, Hongtao School of Control and Computer Engineering North China Electric Power University Baoding071051 China School of Computer Science and Technology Shandong University of Finance and Economics Jinan250014 China Beijing Key Laboratory of IoT Information Security Institute of Information Engineering Chinese Academy of Sciences Beijing100093 China Hebei Key Laboratory of Knowledge Computing for Energy & Power Baoding071051 China

Federated linear regressions have been developed and applied in various domains, where multiparties collaboratively and securely perform optimization algorithms, e.g., Gradient Descent, to learn a set of optimal model weights. However, traditional Gradient-Descent based methods fail to solve problems which contain L1regularization in objective functions, such as lasso regression. In this paper, we present Federated Coordinate Descent, a new distributed scheme called FCD, to address this issue securely under multiparty scenarios. Specifically, through secure aggregation and noise perturbations, our scheme guarantees that: (1) no local information is leaked to other parties, and (2) global model weights are not exposed to cloud servers. The proposed FCD scheme fills the gap between multiparty secure learning and coordinate descent methods, and is applicable for general linear regressions, including linear, ridge, and lasso regressions. Theoretical analyses prove the security guarantees of our scheme against semi-honest attackers. Experimental results on three UCI datasets demonstrate that regressions under our FCD scheme are effective as centralized models. The performance evaluation on synthetic dataset also reveals that our scheme achieves efficient properties on computation cost and communication *** Codes 68Q32 Copyright © 2022, The Authors. All rights reserved.

关键词： Gradient methods

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Att-TCN: An Advertising Attribution Method Based on Temporal Convolutional Network with Attention Mechanism

Att-TCN: An Advertising Attribution Method Based on Temporal...

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International Conference on Computer and Communications (ICCC)

作者： Bowen Xie Yi Sun Zhaowen Lin Baoquan Ma School of Computer Science (National Pilot Software Engineering School) Beijing University of Posts and Telecommunications Beijing China National Engineering Laboratory for Mobile Network Technologies Beijing China National Computer System Engineering Research Institute of China Beijing China National Engineering Laboratory for Industry Control System Information Security Technology Beijing China

Advertising attribution is an effective method to measure the effect of various advertisements in the era of Internet advertising. It enables scientific tracking back and refined operation of advertising by quantitatively evaluating the contribution of different advertising channels to reach the target. It is challenging to predict conversion results based on users' journey data accurately, reflect the impact of ads on user conversions, and appropriately assign attribution values to advertising channels. To achieve the above objectives, we propose an advertising attribution method based on a temporal convolutional network with an attention mechanism (Att-TCN). By mining the hidden information in time and attribution channels using the attention mechanism, our proposed method can improve the accuracy of conversion prediction and thus more rationally assign attribution values across channels. Experimental validation on a real dataset obtained from an operational commercial advertising monitoring company shows that our proposed attribution method has better accuracy than other state-of-the-art attribution methods and gives an open-ended approach to attribution value assignment.

关键词： Target tracking Costs Companies Predictive models Internet Convolutional neural networks Data mining

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A security enhanced certificateless aggregate signcryption scheme for VANETs

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Peer-to-Peer Networking and Applications 2025年第4期18卷

作者： Liu, Dong Tang, Wentao Wang, Liangliang Liu, Yang Liu, Zhiquan Zhang, Kai Li, Weiwei School of Computer Science and Technology Xidian University Xi’an710699 China the College of Computer Science and Technology Shanghai University of Electric Power Shanghai201306 China Institute of Network Security Inspection and Evaluation China Industrial Control System Cyber Emergency Response Team Beijing100040 China Key Laboratory of Industrial Information Security Perception and Evaluation Technology Ministry of Industry and Information Technology Beijing100040 China the College of Cyber Security Jinan University Guangzhou510632 China

Unlike traditional Internet of Things (IoT), Vehicular Ad Hoc Networks (VANETs) operate in open environments and transmit information through wireless communication technologies, making VANETs more susceptible to various attacks. To protect the security of drivers’ private information and improve the efficiency of the transportation system, various Certificateless Signcryption (CLSC) schemes have been proposed. Recently, Shao et al. designed a provably secure lightweight authentication scheme, which satisfied aggregate signcryption and batch unsigncryption. Unfortunately, we uncovered there are some vulnerabilities through security analysis in their scheme. In this paper, we first give an analysis method based on their security model with public key replacement to demonstrate the weakness. Second, we introduce a security enhanced CLSC scheme with a small index, demonstrating that the improved scheme is existential unforgeability under adaptive chosen message attacks (EUF-CMA), indistinguishability against adaptive chosen ciphertext attacks (IND-CCA2), and our scheme can resist extra Type-III adversaries which can combine the invalid signcryptions to generate a valid signcryption by formal security proof and heuristic security analysis. Finally, we compare our scheme with recent CLSC schemes in security performance, computation overhead, and communication overhead. The computational overhead of our scheme is below 41 ms under computing resource constraints while still meeting extremely high levels of security. The results show that our scheme is more suitable for VANETs. © The Author(s), under exclusive licence to Springer science+Business Media, LLC, part of Springer Nature 2025.

关键词： Ad hoc networks

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Unified Authentication Scheme for IoT Blockchain Based on PUF

Unified Authentication Scheme for IoT Blockchain Based on PU...

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IEEE International Conference on Big Data and Cloud Computing (BdCloud)

作者： Dawei Li Yingxian Song Lixin Zhang Di Liu Baoquan Ma Zhenyu Guan School of Cyber Science and Technology Beihang University Beijing China National Engineering Laboratory for Industry Control System Information Security Technology Beijing China National Computer System Enginering Research Institute of China Beijing China

The number of global Internet of Things devices has increased rapidly and has a wide range of application markets. Access authentication methods for massive heterogeneous IoT devices are complicated, and central servers and trusted platforms cannot take effective measures against tampered devices. Analyzing the problems and challenges faced by IoT devices, this paper proposes a unified authentication scheme for IoT blockchain devices based on PUF. The PUF model is used to authenticate IoT devices, and the model parameters are decomposed into various parts and stored in each node in the blockchain. The homomorphic hash function is used to aggregate the partial authentication response values generated by the distribution in the invisible case to complete the authentication of the device information. It solves the complex and diverse problems of device authentication schemes and realizes the credibility and security of devices data sources and devices information storage stability. Finally, the functional analysis confirmed that the scheme is practical and executable.

关键词： Hash functions Soft sensors Authentication Stability analysis Functional analysis Blockchains security

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Network security Situation Awareness technology Based on Multi-source Heterogeneous Data

Network Security Situation Awareness Technology Based on Mul...

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2020 International Conference on Cyberspace Innovation of Advanced Technologies, CIAT 2020

作者： Zhang, Daojuan Qian, Kexiang Wang, Wenhui Fang, Fuyang Wang, Chonghua Luo, Xi State Grid Key Laboratory of Information and Network Security Global Energy Interconnection Research Institute Co. Ltd Beijing China Information Science Academy China Electronics Technology Group Corporation Beijing China Department of Security Technology China Industrial Control Systems Cyber Emergency Response Team Beijing China Cyber Space Institute of Advanced Technology Guangzhou University Guangzhou China

ISBN: (纸本)9781450387828

With the development of information technology, the scale of the network continues to expand, and the security issues continue to increase. The complexity of the network security situation is increasing and the importance of the network security situational awareness continues to increase. The data sources are wide, the type and the number are large in a large-scale network environment currently. This paper comprehensively studies the network security situational awareness technology based on multi-source heterogeneous data. In addition, this paper introduces the origin, concept and the model of the network situational awareness, as well as the characteristics of network security situational awareness based on multi-source heterogeneous data fusion. Finally, the key technologies in the security situational awareness such as the extraction of situational elements, multi-source data fusion, situation assessment, situation prediction and visual display are introduced. © 2020 ACM.

关键词： Data fusion

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Real-time and ultrafast optical pulse quantization based on slicing the supercontinuum

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Chinese Optics Letters 2021年第8期19卷 69-74页

作者： Ya Guo Qiang Cai Zhiwei Jia Bingjie Xu Zhensen Gao Qianwu Zhang Ruonan Zhang Adonis Bogris K.Alan Shore Yuncai Wang Pu Li Key Laboratory of Advanced Transducers and Intelligent Control System Ministry of EducationTaiyuan University of TechnologyTaiyuan 030024China School of Information Engineering Guangdong University of TechnologyGuangzhou 510006China Key Laboratory of Specialty Fiber Optics and Optical Access Networks Shanghai UniversityShanghai 200444China School of Electronics and Information Northwestern Polytechnical UniversityXi’an 710072China Science and Technology on Communication Security Laboratory Institute of Southwestern CommunicationChengdu 610041China Department of Informatics and Computer Engineering University of West AtticaAthens 12243Greece School of Electronic Engineering Bangor UniversityWales LL571UTUnited Kingdom

All-optical analog-to-digital conversion is a paramount issue in modern science. How to implement real-time and ultrafast quantization to optical pulses with different intensities in an all-optical domain is a central problem. Here, we report a realtime demonstration of an all-optical quantization scheme based on slicing the supercontinuum in a nonlinear fiber. In comparison with previous schemes through off-line analysis of the power of different optical spectral components in the supercontinuum, this, to the best of our knowledge, is the first demonstration of such functionality online in the time ***, the extinction ratio among the quantized outputs can exceed 10 d B, which further confirms the feasibility of the proposed quantization scheme. The current 3 bit resolution in the proof-of-principle experiment is limited by the current experimental condition, but it can be expected to be greatly enhanced through improving both the spectral width of the generated supercontinuum and the number of filtering channels used.

关键词： all-optical analog-to-digital conversion photonic quantization all-optical signal processing supercontinuum generation

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Feature Explainable Deep Classification for Signal Modulation Recognition

Feature Explainable Deep Classification for Signal Modulatio...

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Annual Conference of Industrial Electronics Society

作者： Jinyin Chen Shenghuan Miao Haibin Zheng Shilian Zheng College of Information Engineering Zhejiang University of Technology Hangzhou China Science and Technology on Communication Information Security Control Laboratory Jiaxing China

ISBN: (数字)9781728154145

ISBN: (纸本)9781728154152

Signal modulation recognition plays a critical role in many fields to identify the modulation type of wireless signals. Since the deep learning based models have achieved great success in classification tasks, more deep neural networks are proposed for signal modulation recognition. In this paper, we explore the use of different deep neural networks in both macro network architecture level and micro cell size and layer level to compare and understand their effect on classification performance. We also bring up a feature explainable deep neural network by visualizing the critical features in the deep neural models. We visually show and compare the commonality and differences of hidden layer characteristics extracted by different network structure to explain and analyze the reason why some models can achieve better classification results than the others. We believe it is an effective way to explain how deep neural model based signal classification work. Thus the explanation will help users establish appropriate understand and trust in predictions from deep modulation recognition networks.

关键词： Feature extraction Modulation Computer architecture Computational modeling Visualization Convolution Signal to noise ratio

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Multi-target Positioning Method of Passive MIMO Radar based on DBSCAN 2020

Multi-target Positioning Method of Passive MIMO Radar based ...

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3rd International Conference on Signal Processing and Machine Learning, SPML 2020

作者： Wang, Lijun Han, Yu Wang, Li Chen, Yiqi Li, Wanchun Science and Technology on Communication Information Security Control Laboratory. No. 36 Research Institute of Cetc No.387 hongxing road Jiaxing Zhejiang314033 China School of Information and Communication Engineering University of Electronic Science and Technology of China No.2006 Xiyuan Ave West Hi-Tech Zone Chengdu Sichuan611731 China

ISBN: (纸本)9781450375733

In this paper, we propose a passive Multiple Input Multiple Output (MIMO) radar multi-target positioning method based on DBSCAN (Density-Based Spatial Clustering of Applications with Noise). MIMO radar has received extensive attention and researches since it has been introduced. Applying MIMO radar theory to passive radar technology can combine the advantages of the two technologies and get better detection performance. In this paper, the multi-target data association algorithm is mainly used, and the time delay information measured by multiple receiving stations is converted into distance information and associated with the cost matrix. First, data preprocessing is performed by eliminating data in the cost matrix which is greater than the threshold. Then DBSCAN clustering algorithm is used to divide the data into clusters. Finally, different clusters are weighted and fused to obtain multi-target position estimates. Simulation results prove that the algorithm performs well. © 2020 ACM.

关键词： Clustering algorithms

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Low Self-Discharge All-Solid-State Electrochromic Asymmetric Supercapacitors at Wide Temperature Toward Efficient Energy Storage

SSRN

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SSRN 2022年

作者： Liu, Lei Liu, Chen Wang, Mengying Li, Bin Wang, Ke Fan, Xiangqian Li, Ning Wang, Huiqi Hu, Shengliang Diao, Xungang School of Energy and Power Engineering North University of China Taiyuan030051 China Shenyang National Laboratory for Materials Science Institute of Metal Research Chinese Academy of Science Shenyang110016 China School of Energy and Power Engineering Beihang University Beijing100191 China Research Center for Photovoltaics Shanghai Institute of Space Power-Sources Shanghai200245 China Science and Technology on Electro-Optical Information Security control Laboratory Tianjin300308 China

Electrochromic asymmetric supercapacitors (EASs) have attracted tremendous attention in recent years because of their potential for next-generation civilian portable and intelligent electronics. However, obtaining all-solid-state EASs with low self-discharge rates and outstanding environmental compatibility remains a crucial challenge. Herein, a high-performance all-solid-state EAS was fabricated based on MnO2 positive electrochromic electrode and WO3 negative electrochromic electrode. The obtained EAS exhibits high power/energy density (991.2 W kg-1/117 Wh kg-1 and 15840 W kg-1/44.3 Wh kg-1), superior electrochemical cycle-life (remains 98.4% of its initial capacity after 2000 continuous cycles even at 60 °C). Significantly, the fabricated EAS can still maintain a stable and reversible color change even in harsh environments where operating temperatures are constantly changing from -20 °C to 60 °C. In addition, the underlying self-discharge process and mechanisms of EASs were comprehensively demonstrated at various temperatures. At high working temperatures (such as 60 °C), the diffusion-controlled mechanism dominates in the initial discharging process, while at lower operating temperatures (such as -20 °C) both mechanisms nearly contribute equally. Impressively, the EAS presents a small voltage loss (all below 18%) within 10 h when operated at extreme temperatures. This work can enlighten and promote the development of low self-discharge electrochromic devices at widely operating temperatures for efficient energy storage. © 2022, The Authors. All rights reserved.

关键词： Temperature

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Analysis of Frequency Offset for Satellite Navigation Receiver Using Carrier-Aided Code Tracking Loop

Analysis of Frequency Offset for Satellite Navigation Receiv...

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International Conference on Communication technology (ICCT)

作者： Teng Gao Lijun Wang Xiaofan Jin Science and Technology on Communication Information Security Control Laboratory No.36 Research Institute of CETC Jiaxing China

ISBN: (数字)9781728181417

ISBN: (纸本)9781728181424

Carrier-aided code tracking loop is widely used in satellite navigation receivers. This kind of loop structure can reduce code tracking noise by narrowing the bandwidth of code tracking loop. The performance of carrier-aided code tracking loop in receivers is affected by frequency deviation of reference clock source. This paper analyzes the influence of carrier frequency offset and sampling frequency offset on carrier-aided code tracking loop due to reference clock offset. The results show that large frequency offset can cause code tracking loop lose lock, code tracking loop is more sensitive to sampling frequency deviation and increasing the loop bandwidth can reduce the effects of frequency offset. This analysis provides reference for receiver tracking loop design.

关键词： Tracking loops Receivers Satellites Clocks Satellite navigation systems Global Positioning System Time-frequency analysis

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