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2nd International Conference on Big Data and Privacy Computing, BDPC 2024

作者： Zhu, Yizhao Chen, Lanxiang City University of Macau Faculty of Data Science 999078 China College of Computer and Cyber Security Fujian Normal University Fujian Provincial Key Laboratory of Network Security and Cryptology Fuzhou China

ISBN: (纸本)9798350307597

Responsible gaming aims at maintaining the integrity and sustainability of the gaming industry. However, The exchange of sensitive data, such as player and gaming related information, among different parties raises significant privacy concerns, and safeguarding privacy becomes a top priority consideration throughout the design and implementation of responsible gaming systems. In this paper, we introduce an innovative scheme that utilizes Oblivious Transfer (OT) and Private Set Intersection (PSI) protocols to address privacy concerns of responsible gaming systems. Our scheme proposes a system model that addresses privacy concerns related to player global limits and banned player list query and response, without requiring infrastructure changes, unlike blockchain-based solutions;Our proposed scheme not only addresses privacy concerns between the query user and the centralized database server but also mitigates privacy concerns between the query user and certificate authority (CA) by incorporating blind RSA signature scheme;Our proposed scheme achieves linear complexity in computation and communication, while remaining resilient against malicious adversaries under the random oracle model. © 2024 IEEE.

关键词： Differential privacy

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Evaluation Method of Object Control Capability for Children Based on Nonlinear Dynamics 23

Evaluation Method of Object Control Capability for Children ...

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3rd International Conference on Bioinformatics and Intelligent Computing, BIC 2023

作者： Wang, Huaijun Li, Chao Zhang, Dongsheng Li, Junhuai Key Laboratory of Network Computing and Security Technology School of Computer Science and Engineering Xi an University of Technology Xi'an China

ISBN: (纸本)9798400700200

DCD (Developmental Coordination Disorder) has become a global problem, and several studies have shown that early detection and intervention are important for the prevention and treatment of DCD in children. To address the problems of low intelligence, simple assessment indexes and single dimension in assessing children's motor coordination, a method based on non-linear dynamics is proposed to assess children's object control ability. Using the child's in-situ ball tapping as the test item, the Kinect and inertial sensors are used to collect hand spatial position information and human motion biomechanical signals during the ball tapping process. The complexity of the signal is reflected by the sample entropy of the motion signal. The approach suggested in this thesis, which uses non-linear kinetic characteristics, enhances the accuracy of behavioral and developmental identification by 1% to 3% when compared to existing methods. The experiments prove that the proposed method has a better recognition rate and stability than the traditional assessment methods. © 2023 ACM.

关键词： Principal component analysis

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Light Up Fireflies: Towards Understanding the Design of Interpersonal Bodily Intertwinement in Bodily Play 24

Light Up Fireflies: Towards Understanding the Design of Inte...

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11th ACM SIGCHI Annual Symposium on computer-Human Interaction in Play, CHI-PLAY Companion 2024

作者： Lu, Yingtong Li, Zhuying Ding, Ding Southeast University Nanjing China Key Laboratory of Computer Network and Information Integration Southeast University Ministry of Education Nanjing China

ISBN: (纸本)9798400706929

In this paper, we explore the design of interpersonal bodily intertwinement through a VR social game, "Light Up Fireflies". Inspired by works of virtual co-embodiment, our game lets two players embody a single avatar, where each player controls half of the body. The gameplay involves walking in a virtual forest and collaboratively interacting with floating fireflies. While moving, poor coordination can lead to unbalanced movements, causing the avatar to lose its center of mass and fall. Such a design might blur the body boundary between players, providing an intriguing bodily experience of interpersonal bodily intertwinement. We hope our work offers novel insights into bodily play where players experience interconnected physical presence within the digital space. © 2024 Copyright held by the owner/author(s). Publication rights licensed to ACM.

关键词： Virtual reality

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EPI-Mamba: State Space Model for Semantic Segmentation from Light Fields

EPI-Mamba: State Space Model for Semantic Segmentation from ...

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2025 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2025

作者： Li, Yan Chen, Jianan Wang, Qiong Xu, Jinshan College of Computer Science & Technology Zhejiang University of Technology Hangzhou China Guangdong Provincial Key Laboratory of Intelligent Information Processing Shenzhen Key Laboratory of Media Security Shenzhen University Shenzhen China

ISBN: (纸本)9798350368741

Global contextual dependency is of significance for semantic segmentation from light fields. However, previous works mostly exploit attention mechanisms to model spatial context dependency and angular context dependency separately, since a light field capture is very data-intensive. Considering that self-attention is resource-consuming, existing methods only use it to capture spatial contextual dependency for the central view of light fields, and employ resource-efficient attention mechanisms to model angular view dependencies instead. Inspired by the recent success of State Space Sequence model (SSM), we present a novel SSM-based encoder for light field semantic segmentation, which models spatio-angular contextual dependency together. The proposed method is evaluated on the existing light field semantic segmentation datasets, and experimental results show that the proposed method significantly outperforms previous state-of-the-art methods. The code and models used in this work are available in https://***/YanWQ/EPI-Mamba. © 2025 IEEE.

关键词： Light field semantic segmentation Mamba State space model

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A k-nearest neighbor query method based on trust and location privacy protection

A k-nearest neighbor query method based on trust and locatio...

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作者： Guo, Liangmin Zhu, Ying Yang, Hao Luo, Yonglong Sun, Liping Zheng, Xiaoyao School of Computer and Information Anhui Normal University Wuhu China Anhui Provincial Key Laboratory of Network and Information Security Wuhu China

Spatial query is an important supporting technology in the Internet of Things (IoT) and location-based services (LBS). The k-nearest neighbor query is widely used for spatial queries. However, user location privacy may be leaked in the query. In addition, some users are malicious or uncooperative. With the objective of overcoming these problems, a k-nearest neighbor query method based on trust and location privacy protection is proposed. First, we employ a new K-anonymity method based on cooperation to protect a query user's location privacy. In this method, the query user constructs an anonymous group by introducing a trust mechanism to incentivize cooperation among users. Then, according to the different radii of the selection area set by the query user, agent users with higher reputation values who send query requests for the query user are selected. Finally, the agent users obtain the query results from the LBS server and forward them to the query user, and the query user screens the results according to his or her real location. The experiments show that our method can effectively stimulate users to cooperate, better exclude malicious users, and improve the accuracy of the query results while protecting the privacy of the query user. © 2020 John Wiley & Sons, Ltd.

关键词： Location based services

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QoS-Aware Offloading Based on Communication-Computation Resource Coordination for 6G Edge Intelligence

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China Communications 2023年第3期20卷 236-251页

作者： Chaowei Wang Xiaofei Yu Lexi Xu Fan Jiang Weidong Wang Xinzhou Cheng School of Electronic Engineering Beijing University of Posts and TelecommunicationsBeijing 100876China Shaanxi Key Laboratory of Information Communication Network and Security Xi’an University of Posts and TelecommunicationsXi’an 710121China Research Institute China United Network Communications CorporationBeijing 100048China

Driven by the demands of diverse artificial intelligence(AI)-enabled application,Mobile Edge Computing(MEC)is considered one of the key technologies for 6G edge *** this paper,we consider a serial task model and design a quality of service(QoS)-aware task offloading via communication-computation resource coordination for multi-user MEC systems,which can mitigate the I/O interference brought by resource reuse among virtual *** we construct the system utility measuring QoS based on application latency and user devices’energy *** also propose a heuristic offloading algorithm to maximize the system utility function with the constraints of task priority and I/O *** results demonstrate the proposed algorithm’s significant advantages in terms of task completion time,terminal energy consumption and system resource utilization.

关键词： mobile edge computing serial task of-floading computation partitioning 6G edge intelli-gence I/O interference

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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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Research on Satellite network Traffic Prediction Algorithm Based on Gray Wolf Algorithm Optimizing GRU and Spatiotemporal Analysis 15

Research on Satellite Network Traffic Prediction Algorithm B...

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15th International Conference on Communication Software and networks, ICCSN 2023

作者： Cong, Ligang Shi, Baoyu Di, Xiaoqiang Ding, Huiying Chen, Chuanhui School of Computer Science and Technology Changchun University of Science and Technology Changchun China Changchun University of Science and Technology Jilin Key Laboratory of Network and Information Security Changchun China

ISBN: (纸本)9798350329360

Accurate traffic prediction is crucial for the performance improvement of satellite networks, which can help balance network load, optimize routing, and effectively improve network performance. To better plan traffic while capturing the spatial and temporal dependencies of traffic, we propose a new neural network-based traffic prediction method for satellite networks, namely the temporal graph convolutional attention (ACW-GRU) model, which is combined with the Graph Convolutional Neural network (GCN), the Gated Recurrent Unit (GRU), and the Soft Attention mechanism. The GCN is used to analyze the complex topology to capture spatial correlation, and the GRU is used to analyze the dynamic changes of traffic data to capture temporal correlation, while the Grey Wolf Optimization (GWO) is used to optimize the hyperparameters of the GRU model, and the soft attention mechanism is used to integrate the global temporal information and adjust the importance at different time points. The importance of the traffic data at distant time points is also not ignored, thus improving the accuracy of the prediction. The simulation results show that the ACW-GRU model is superior in fitting the flow data compared with the traditional GRU, LSTM, and FARIMA models, and its root mean square error (RMSE) is reduced by 24.7%, 40.4%, and 51.2%, respectively. Therefore, the ACW-GRU model can predict the traffic data of the satellite network more accurately, thus providing clearer guidance for defining the demand of applications and the allocation of network resources. © 2023 IEEE.

关键词： Topology

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Feature Aggregation network for Memory-Based Industrial Anomaly Detection 9

Feature Aggregation Network for Memory-Based Industrial Anom...

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9th IEEE International Conference on Data Science in Cyberspace, DSC 2024

作者： Li, Min Han, Delong Shao, Rui He, Jinghui City University of Macau Faculty of Data Science China Qilu University of Technology Shandong Academy of Sciences Key Laboratory of Computing Power Network and Information Security Ministry of Education Shandong Computer Science Center National Supercomputer Center in Jinan Shandong Computer Science Center National Supercomputer Center in Jinan Jinan China Qilu University of Technology Shandong Academy of Sciences Key Laboratory of Computing Power Network and Information Security Ministry of Education Shandong Computer Science Center National Supercomputer Center in Jinan Jinan China Shandong Fundamental Research Center for Computer Science Shandong Provincial Key Laboratory of Computer Networks Jinan China

ISBN: (纸本)9798350391367

In the process of large-scale industrial production, complex defects of different shapes and sizes can occur in industrial products and their components, and these defects seriously affect the performance of industrial products and their components, and being able to quickly and accurately identify defective industrial products and their components is an important task. Memory-based methods are usually used for anomaly detection, and these methods often rely on pre-trained models for feature extraction, but have high requirements on feature quality. In addition, patch-based methods mainly focus on local differences in feature embedding when detecting anomalies without explicitly exploiting broader contextual information, thus greatly affecting the robustness and accuracy of anomaly detection. Aiming at the above problems and requirements, this paper proposes a Feature Aggregation network for Memory-Based Industrial Anomaly Detection (FANet), which is based on the pre-extraction of anomalous features, attentional attention to key features, information aggregation of multi-level and multi-scale features, and the FANet provides advanced performance in industrial image anomaly detection and localisation by pre-extraction of anomalous features, attentional attention to key features, information aggregation of multi-layered and multi-scale features, and introduction of environmental information in the anomaly score computation to perform industrial anomaly detection tasks, and using core set subsampling to reduce storage requirements. On the MVTec AD, FANet has an image-level AUROC score of 99.1% and a pixel-level AUROC score of 98.2%. Similarly high detection results were achieved on the ViSA dataset, further demonstrating the robustness of FANet. © 2024 IEEE.

关键词： Anomaly detection

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Joint User Activity Detection and Channel Estimation for Grant-Free Temporal-Correlated Random Access in LEO Satellite Based IoT 7

Joint User Activity Detection and Channel Estimation for Gra...

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7th IEEE International Conference on Electronic information and Communication Technology, ICEICT 2024

作者： Zhong, Sheng Zhen, Li Li, Shuchang Dong, Ping Qin, Hao Xi'an University of Posts and Telecommunications Shaanxi Key Laboratory of Information Communication Network and Security Xi'an China Xidian University School of Telecommunication Engineering Xi'an China

ISBN: (纸本)9798350384437

Low-earth-orbit (LEO) satellite communication has been regarded as a promising solution for providing ubiquitous Internet of Things (IoT) services, due to its capability of global seamless coverage. In this paper, we focus on resolving the joint activity detection and channel estimation (JADCE) problem for realizing the efficient grant-free random access in LEO satellite based IoT. According to the sporadic user traffic and the temporal correlations over consecutive frames, we formulate the JADCE problem as a dynamic compressive sensing problem. Especially, a probabilistic model is built to represent both the time variation of user activities and the evolution of channel coefficients by steady Markov processes. Furthermore, we develop a correlated information aided hybrid generalized approximate message passing (GAMP) algorithm to solve this problem, which utilizes the GAMP algorithm for detecting active users and estimating channels, and further employs the standard message passing algorithm to update user activity likelihood and channel coefficients. Simulation results show that the proposed algorithm can effectively reduce user activity detection errors and improve channel estimation performance as compared to the existing benchmark algorithms. © 2024 IEEE.

关键词： Markov processes

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