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2025 CHI Conference on Human Factors in Computing Systems, CHI 2025

作者： Mai, Zijun Gao, BoYu Tu, Huawei Li, Dasheng Kim, HyungSeok Luo, Weiqi College of Information Science and Technology/Cyber Security Jinan University Guangzhou China Department of Computer Science and Information Technology La Trobe University Melbourne Australia College of Cyber Security/Guangdong Institute of Smart Education Jinan University Guangdong Guangzhou China Vr Lab Department of Computer Science and Engineering Konkuk University Seoul Korea Republic of

ISBN: (纸本)9798400713941

This study proposes a time prediction model for locomotion along a polyline path with body angular movements in Virtual Reality (VR). We divide such locomotion into two components: navigating in multiple line-segment paths and turning at line-segment intersections. In the first component, locomotion in each line-segment path consists of acceleration, maximum velocity, and deceleration phases. We formulate equations to estimate the locomotion time for each phase and accumulated them to model the total time. In the second component, a linear relationship was revealed between task time and turning angles. We established an integrated model based on the equations of the two components and verified the effectiveness of the model with three experiments. The results indicate that our model outperformed two baseline models with a greater R2 and a smaller gap between the predicted and actual time. Our study benefits VR locomotion design with body angular movements. © 2025 Copyright held by the owner/author(s). Publication rights licensed to ACM.

关键词： Virtual reality

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Detection and Recovery of RFID Harmonic Signal for Wi-Fi Interference

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Journal of Communications and Information Networks 2024年第4期9卷 330-339页

作者： Chao Gong Ping Li Panlong Yang Zhao Lv School of Computer Science and Technology Anhui UniversityHefei 230000China Anhui Engineering Research Center for Intelligent Applications and Security of Industrial Internet Anhui University of TechnologyMa’anshan 243032China School of Computer science School of Cyber Science and EngineeringNanjing University of Information Science and TechnologyNanjing 210000China

In the realm of the Internet of things(IoT),radio frequency identification(RFID)technology is essential for linking physical objects to digital *** introduction of harmonic technology has expanded RFID’s applications by improving sensitivity and enabling communication with wireless fidelity(Wi-Fi)***,this trend faces challenges,notably interference from strong Wi-Fi signals,which impacts RFID-based sensing *** paper proposes the WiFID(Wi-Fi and RFID)algorithm,which enables Wi-Fi devices to sense weak RFID harmonic *** subcarrier deallocation minimally reduces Wi-Fi throughput while effectively limiting interference with RFID harmonic *** validation on the universal software radio peripheral(USRP)platform demonstrates that WiFID successfully detects 90% of RFID harmonics at−30 dBm,with only a minimal 4%decrease in Wi-Fi throughput.

关键词： RFID harmonic wireless sensing Wi-Fi interference avoidence

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ICP Registration Based on Overlapping Region

ICP Registration Based on Overlapping Region

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Image Processing, computer Vision and Machine Learning (ICICML), International Conference on

作者： Zhuoer Xiao School of Computer Science and Engineering School of Cyber Security) UESTC Chengdu China

ISBN: (数字)9798350355413

ISBN: (纸本)9798350355420

To solve the problem that ICP(Iterative Closest Point), a widely used fine registration algorithm, can degrade good initial registration results, this paper introduces a step of overlapping region extraction between the initial registration and fine registration to further enhance the accuracy of ICP. Furthermore, a method for determining overlapping regions based on grid partitioning is proposed, which resolves the issue of longer consumption of time for overlapping regions in large-scale point clouds. Experimental results indicate that the improved algorithm process reduces angular errors by approximately 50% and translational errors by approximately 60% compared to the pre-improvement process.

关键词： Point cloud compression computer vision Accuracy Costs Image processing Machine learning Approximation algorithms Partitioning algorithms

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Guardian of the Ensembles: Introducing Pairwise Adversarially Robust Loss for Resisting Adversarial Attacks in DNN Ensembles

Guardian of the Ensembles: Introducing Pairwise Adversariall...

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2025 IEEE/CVF Winter Conference on Applications of computer Vision, WACV 2025

作者： Shukla, Shubhi Dalui, Subhadeep Alam, Manaar Datta, Shubhajit Mondal, Arijit Mukhopadhyay, Debdeep Chakrabarti, Partha Pratim Centre for Computational and Data Sciences Iit Kharagpur India Iit Kharagpur Computer Science and Engineering Department India Center for Cyber Security New York University Abu Dhabi United Arab Emirates Iit Kharagpur Department of Artificial Intelligence India Iit Patna Computer Science and Engineering Department India

ISBN: (纸本)9798331510831

Adversarial attacks rely on transferability, where an adversarial example (AE) crafted on a surrogate classifier tends to mislead a target classifier. Recent ensemble methods demonstrate that AEs are less likely to mislead multiple classifiers in an ensemble. This paper proposes a new ensemble training using a Pairwise Adversarially Robust Loss (PARL) that by construction produces an ensemble of classifiers with diverse decision boundaries. PARL utilizes outputs and gradients of each layer with respect to network parameters in every classifier within the ensemble simultaneously. PARL is demonstrated to achieve higher robustness against black-box transfer attacks than previous ensemble methods as well as adversarial training without adversely affecting clean example accuracy. Extensive experiments using standard Resnet20, WideResnet28-10 classifiers demonstrate the robustness of PARL against state-of-the-art adversarial attacks. While maintaining similar clean accuracy and lesser training time, the proposed architecture has a 24.8% increase in robust accuracy (= 0.07) from the state-of-the art method. Code is available at: https://***/shubhishukla10/PARL © 2025 IEEE.

关键词： adversarial attack decision-boundary diversity defense ensemble models

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Save the Bruised Striver: A Reliable Live Patching Framework for Protecting Real-World PLCs 24

Save the Bruised Striver: A Reliable Live Patching Framework...

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19th European Conference on computer Systems, EuroSys 2024

作者： Zhou, Ming Wang, Haining Li, Ke Zhu, Hongsong Sun, Limin School of Cyber Science and Engineering Nanjing University of Science and Technology China Department of Electrical and Computer Engineering Virginia Tech China Nari Group Corporation State Grid Electric Power Research Institute School of Cyber Security University of Chinese Academy of Sciences China Institute of Information Engineering Cas China Virginia Tech. United States

ISBN: (纸本)9798400704376

Industrial Control Systems (ICS), particularly programmable logic controllers (PLCs) responsible for managing underlying physical infrastructures, often operate for extended periods without interruption. Thus, it is challenging to patch security vulnerabilities of ICS in a timely manner after disclosure because it often necessitates waiting for a rare downtime window. While live patching has been introduced to avoid downtime and maintenance costs, conventional live patching methods are not viable for closed-source PLCs. Without the source code, it is difficult to understand the system behaviors and determine binary patch equivalence. To address these challenges, we present a Reliable Live Patching framework called RLPatch for applying live patches to third-party binary without source code. We design RLPatch to capture real-time conditions and dynamic behaviors of PLCs, which enables DevOps engineers to identify major non-recoverable fault (MNRF) vulnerabilities and generate hot patches. The core of RLPatch is an update agent that inserts breakpoints over the original MNRF code and then directs execution to the patches. To ensure system reliability, we use the unique constraints of PLCs to integrate the update processes with the scan cycle. We leverage RLPatch to patch 20 real vulnerabilities in three widely used Rockwell PLCs. We evaluate RLPatch in a real-world gas pipeline, demonstrating its reliability and effectiveness in practice. © 2024 Owner/Author.

关键词： Programmable logic controllers

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IoT-driven automatic vehicle accident rescue system implemented with Proteus 1

IoT-driven automatic vehicle accident rescue system implemen...

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1st International Conference on Optimization Techniques for Learning, ICOTL 2023

作者： Hemalatha, K. Ganga Devi, S.V.S. Deepika, V. Madanapalle Institute of Technology and Science Dept. of Computer Science & Engineering-Artificial Intelligence Andhra-Pradesh Madanapalle India Madanapalle Institute of Technology and Science Dept. of Computer Science & Engineering-Cyber Security Andhra-Pradesh Madanapalle India Sri Venkateswara College of Engineering Dept. of Computer Science & Engineering Andhra-Pradesh India

ISBN: (纸本)9798350328042

IoT-driven automatic vehicle accident rescue system implemented with Proteus is an inventive solution aimed at enhancing emergency response and rescue operations following vehicle accidents. Given the rising vehicle usage alongside population growth, the frequency of accidents has also surged over time, leading to unfortunate loss of life due to delays in ambulance arrival at accident scenes. Swift transportation of accident victims to medical facilities is of paramount importance. Upon occurrence of an accident, the proposed "IoT-driven automatic vehicle accident rescue system implemented with Proteus"immediately transmits accident details to the ambulance service, investigation unit, and designated emergency contacts. Simultaneously, the accident's precise location is shared via a Google Maps link to the users' smart devices equipped with mobile network connectivity. This facilitates efficient location identification for both ambulance services and police departments. Comprising elements such as accelerometers, GPS (Global Positioning System) modules, GSM (Global System for Mobile Communication) modules, motors, buzzers, LEDs, and more, the system seamlessly integrates these components with a central microcontroller unit using Proteus software. The core objective of this initiative revolves around two key goals: rescuing drivers involved in accidents and expediting victim recovery during the critical early stages of mishaps. © 2023 IEEE.

关键词： Global system for mobile communications

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Digital-Bracers: A Design Process for an Interactive Monitoring Generative System That Helps People with Hand Movements

Digital-Bracers: A Design Process for an Interactive Monitor...

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2023 International Symposium on World Ecological Design, ISWED 2023

作者： Yao, Yousheng Xie, Yuan Ying, Fangtian Wang, Haoran Huang, Zhihao Zheng, Junpeng Faculty of Humanities and Arts Macau University of Science and Technology China Hexiangning College of Art and Design Zhongkai University of Agriculture and Engineering China College of Computer and Cyber Security Fujian Normal University China

ISBN: (纸本)9781643685069

In the post-New Crown epidemic era, people need to face a period of physical recovery after being infected with New Crown, especially when there are frequent cases of deaths due to over-aggressive or excessive physical exercise after healing, or due to people's concerns about safety hazards, or loss of interest and adherence to fitness due to exercising alone, among other problems. In this paper, we design a complete interactive monitoring generation system for wrist brace components, Digital-Bracers, which consists of both hardware and software. The hardware has integrated textile heart rate monitoring and integrated sensors in a three-lead configuration for a textile-based digital wrist brace that conforms to human comfort. The software is a visualized app with pulse rate, speed, and frequency, oscillation rhythm, content generation social connectivity, etc. The software and hardware are connected via WI-FI or Bluetooth. Through exploration of materials, ergonomics, and textile wrist guard construction, we designed an experimental process and tested Digital-Bracers to determine the system's performance through peak heart rate detection and noise interference. The contribution of the Digital-Bracers Interactive Monitoring and Generation System is the ability to monitor one's own health in real-time during hand exercise to avoid potential risks, while at the same time, The Digital-Bracers Interactive Monitoring System contributes to the real-time monitoring of one's health during hand movements to avoid potential risks, and to the generation of a variety of different sounds to bring a sense of fulfillment and enjoyment to the hand movements. © 2024 The Authors.

关键词： Textiles

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Robust Multimodal Sentiment Analysis of Image-Text Pairs by Distribution-Based Feature Recovery and Fusion 24

Robust Multimodal Sentiment Analysis of Image-Text Pairs by ...

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32nd ACM International Conference on Multimedia, MM 2024

作者： Wu, Daiqing Yang, Dongbao Zhou, Yu Ma, Can School of Cyber Security University of Chinese Academy of Sciences Beijing China Institute of Information Engineering Chinese Academy of Sciences Beijing China TMCC College of Computer Science Nankai University Tianjin China

ISBN: (纸本)9798400706868

As posts on social media increase rapidly, analyzing the sentiments embedded in image-text pairs has become a popular research topic in recent years. Although existing works achieve impressive accomplishments in simultaneously harnessing image and text information, they lack the considerations of possible low-quality and missing modalities. In real-world applications, these issues might frequently occur, leading to urgent needs for models capable of predicting sentiment robustly. Therefore, we propose a Distribution-based feature Recovery and Fusion (DRF) method for robust multimodal sentiment analysis of image-text pairs. Specifically, we maintain a feature queue for each modality to approximate their feature distributions, through which we can simultaneously handle low-quality and missing modalities in a unified framework. For low-quality modalities, we reduce their contributions to the fusion by quantitatively estimating modality qualities based on the distributions. For missing modalities, we build inter-modal mapping relationships supervised by samples and distributions, thereby recovering the missing modalities from available ones. In experiments, two disruption strategies that corrupt and discard some modalities in samples are adopted to mimic the low-quality and missing modalities in various real-world scenarios. Through comprehensive experiments on three publicly available image-text datasets, we demonstrate the universal improvements of DRF compared to SOTA methods under both two strategies, validating its effectiveness in robust multimodal sentiment analysis. © 2024 Owner/Author.

关键词： Feature extraction

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Cloud Based AIVR Training System for Emergency Rescue 12

Cloud Based AIVR Training System for Emergency Rescue

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12th International Conference on Advanced Cloud and Big Data, CBD 2024

作者： Dong, Meiya Zhu, Biaokai Zhao, Jumin Song, Jie School of Computer Science Peking University Beijing China Suzhou Industrial Technology Institute Zhejiang University Suzhou China Cyber Security Shanxi Police College China College of Information and Optical Engineering Taiyuan University of Technology Taiyuan China Cyber security Intelligent Policing Key Laboratory of Sichuan Province Luzhou China

ISBN: (纸本)9798331511074

This paper mainly discusses the current situation and existing problems of training exercises in emergency medicial scenarios, as well as the importance and necessity of developing an AI training system for emergency medical scenarios. First, we introduce the current status of emergency medical training and emphasize the potential value of AI technology in this field. Then, the goal of developing an AI training system is defined as improving the efficiency and quality of medical education and training. We summarize the advantages of AI technology in emergency medical exercises and make a review and selection analysis of its related technologies. In the design and implementation stage, we describe in detail the requirement analysis, function design, system architecture, and core module development of the emergency medical AI training system. After system integration and testing, we verified the feasibility and effect of the system. In the process of evaluation and optimization, we evaluated the performance and user experience of the system and put forward optimization strategies and security considerations for the problems. In the application case analysis, we collect user feedback to verify its efficiency and carry out an in-depth analysis of the advantages and disadvantages of the system. Finally, in the conclusion and prospect part, we summarize the research results, point out the existing problems and improvement directions and look forward to the future development trends and challenges of AI training systems for emergency medical scenarios. © 2024 IEEE.

关键词： AI training AIVR system Emergency Rescue

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ContraPonzi: Smart Ponzi Scheme Detection for Ethereum via Contrastive Learning 4

ContraPonzi: Smart Ponzi Scheme Detection for Ethereum via C...

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4th Asia Service sciences and Software engineering Conference, ASSE 2023

作者： Wu, Jiajing Liu, Jieli Chen, Jinze Chen, Ting Li, Jingwei Song, Shuwei He, Jiahao School of Software Engineering Sun Yat-sen University China School of Computer Science and Engineering Sun Yat-sen University China School of Cyber Security University of Electronic Science and Technology of China China

ISBN: (纸本)9798400708534

In recent years, blockchain technology has witnessed rapid development and received considerable attention. However, its decentralized and pseudonymous nature has also attracted many criminal activities. Among them, Ponzi schemes, a classic form of financial fraud, also hide their true face in smart contracts, causing huge losses to blockchain users. Although numerous methods have been proposed to detect Ponzi contracts, these methods still have limitations in terms of generalization and feature learning. To address this issue, we conduct research on Ethereum, the currently largest blockchain platform enabling smart contracts, and propose a novel contrastive learning-based smart Ponzi scheme detection method named ContraPonzi. This method first extracts control flow graph information from bytecodes and models it as attribute graphs that preserve both semantic and structural information. Next, by augmenting the bytecode data of multi-version compilers and maximizing the graph representation similarity of multi-version bytecodes of the same contract, a pre-training graph encoder is obtained and then can be used in Ponzi contract detection. Experimental results on real-world data demonstrate that ContraPonzi is significantly superior to the state-of-the-art in Ethereum Ponzi scheme detection. © 2023 ACM.

关键词： Smart contract

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