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Owl: Differential-Based Side-Channel Leakage Detection for CUDA Applications

Owl: Differential-Based Side-Channel Leakage Detection for C...

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International Conference on Dependable Systems and Networks (DSN)

作者： Yu Zhao Wenjie Xue Weijie Chen Weizhong Qiang Deqing Zou Hai Jin National Engineering Research Center for Big Data Technology and System Hubei Key Laboratory of Distributed System Security Hubei Engineering Research Center on Big Data Security School of Cyber Science and Engineering Huazhong University of Science and Technology Wuhan China Jinyinhu Laboratory Wuhan China National Engineering Research Center for Big Data Technology and System Services Computing Technology and System Lab Cluster and Grid Computing Lab School of Computer Science and Technology Huazhong University of Science and Technology Wuhan China

ISBN: (数字)9798350341058

ISBN: (纸本)9798350341065

Over the past decade, various methods for detecting side-channel leakage have been proposed and proven to be effective against CPU side-channel attacks. These methods are valuable in assisting developers to identify and patch side-channel vulnerabilities. Nevertheless, recent research has revealed the feasibility of exploiting side-channel vulnerabilities to steal sensitive information from GPU applications, which are beyond the reach of previous side-channel detection methods. Therefore, in this paper, we conduct an in-depth examination of various GPU features and present Owl, a novel side-channel detection tool targeting CUDA applications on NVIDIA GPUs. Owl is designed to detect and locate side-channel leakage in various types of CUDA applications. When tracking the execution of CUDA applications, we design a hierarchical tracing scheme and extend the A-DCFG (Attributed Dynamic Control Flow Graph) to address the massively parallel execution in CUDA, ensuring Owl's detection scalability. After completing the initial assessment and filtering, we conduct statistical tests on the differences in program traces to determine whether they are indeed caused by input variations, subsequently facilitating the positioning of side-channel leaks. We evaluate Owl's capability to detect side-channel leaks by testing it on Libgpucrypto, PyTorch, and nvJPEG. Meanwhile, we verify that our solution effectively handles a large number of threads. Owl has successfully identified hundreds of leaks within these applications. To the best of our knowledge, we are the first to implement side-channel leakage detection for general CUDA applications.

关键词： Target tracking Statistical analysis Filtering Scalability Graphics processing units Side-channel attacks Feature extraction

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Event-triggered H∞ Consensus of Leader-follower Multi-agent Systems

Event-triggered H∞ Consensus of Leader-follower Multi-agent...

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第43届中国控制会议

作者： Cheng Gong Chenguang Ai Xuemin Zuo Zhuang Ma W.Dai Key Lab of Intelligent Data Information Processing and Control of Hebei Province Key Lab of Intelligent Motion Control System of Tangshan City Intelligence and Information Engineering College Tangshan University Hebei Jianzhi Casting Group Ltd. College of Electrical Engineering North China University of Science and Technology

ISBN: (数字)9789887581581

ISBN: (纸本)9798350366907

This paper discusses the H consensus problem of leader-follower multi-agent systems. The controller for each agent is crafted to utilize comprehensive information from all connected agents, while an innovative event-triggered strategy is incorporated to minimize communication costs. Based on the Lyapunov function theory, an H controller is proposed that can ensure both system stability and a prescribed disturbance attenuation level γ. Finally, a numerical example validated the effectiveness of the proposed method.

关键词： Leader-follower Multi-agent systems Event-triggered H_∞ consensus

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UniSleepPos: Sleep Posture Identification System Utilizing Millimeter-wave Radar

UniSleepPos: Sleep Posture Identification System Utilizing M...

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IEEE International Conference on Bioinformatics and Biomedicine (BIBM)

作者： Kun Liu Min Li Chu He Xu Tian Junbin Mao Min Zeng Jin Liu Xinjiang Engineering Research Center of Big Data and Intelligent Software School of Software Xinjiang University Urumqi China Hunan Provincial Key Lab on Bioinformatics School of Computer Science and Engineering Central South University Changsha China

ISBN: (数字)9798350386226

ISBN: (纸本)9798350386233

Sleep posture identification is crucial for accurately assessing sleep quality and diagnosing related diseases. In the realm of non-intrusive sleep monitoring, non-contact technologies are becoming increasingly mainstream. Millimeter-wave radar is frequently utilized in sleep posture identification due to its high resolution, strong penetration, and excellent sensitivity. However, traditional radar-based methods for sleep posture identification often struggle with reliability when dealing with diverse individuals and complex sleep environments. To address these challenges, we propose UniSleepPos, which designs a novel dual-view fusion mechanism to integrate depression and elevation angle signals obtained from radar, thus accurately capturing the posture information of the monitored subject in three-dimensional space. Furthermore, we combine sleep posture identification with individual characteristics, utilizing existing individual labels as prior knowledge to assist in sleep posture identification. The integration of prior knowledge provides a valuable information source for the model, helping to enhance its understanding of the data and improve its performance. We collected sleep posture data from eight volunteers using millimeter-wave radar devices under various environmental conditions. Leave-one-subject-out experiments were conducted to validate the effectiveness of UniSleepPos. The results indicated that UniSleepPos significantly outperforms existing methods, demonstrating its potential for practical applications.

关键词： Performance evaluation Sensitivity Spaceborne radar Millimeter wave radar Depression data models Reliability Monitoring Signal resolution Diseases

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Robust Watermarking Algorithm for Medical Volume data Based on PJFM and 3D-DCT 11th

Robust Watermarking Algorithm for Medical Volume Data Based ...

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11th KES International Conference on Innovation in Medicine and Healthcare, InMed 2023

作者： Cao, Lei Li, Jingbing Liu, Jing Chen, Yen-Wei School of Information and Communication Engineering Hainan University Haikou570228 China State Key Laboratory of Marine Resource Utilization in the South China Sea Hainan University Haikou570228 China Research Center for Healthcare Data Science Zhejiang Lab Zhejiang Hangzhou311121 China Graduate School of Information Science and Engineering Ritsumeikan University Shiga Kusatsu525-8577 Japan

ISBN: (纸本)9789819933105

With the rapid development of information technology and digital image processing, digital imaging technology is gradually mature and widely used in the field of medicine. The use of computed tomography (CT) and magnetic resonance imaging (MRI) for diagnosis has become an indispensable and effective auxiliary means of modern medical diagnosis. It not only facilitates the diagnosis of doctors and real-time information exchange, but also effectively solves the problem of uneven distribution of medical resources. However, medical data is vulnerable to various malicious attacks when spreading and sharing information on the network, and there is a risk of disclosure of patient privacy. To solve this problem, this paper proposes a robust watermarking algorithm for medical volume data based on deformed Jacobi-Fourier moments and 3D discrete cosine transform. The algorithm first used PJFM moment to extract the features of each slice of 3D medical volume data. Then the feature matrix was transformed by 3D-DCT to combine the contour information and detail information of each slice, and the visual feature vector was obtained by applying perceptual hash technology. In addition, the proposed algorithm used Logistic Map to preprocess and encrypt the original watermark image, and utilized zero watermarking technology to embed,, which further improved the security and practicability of the algorithm. Simulation results show that the proposed algorithm has good robustness against common and geometric attacks, especially resist rotation attacks, cropping attacks and compression attacks. © 2023, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

关键词： Diagnosis

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A Novel Under-sampling Method with Gaussian Mixture and Jensen-Shannon Divergence 2022

A Novel Under-sampling Method with Gaussian Mixture and Jens...

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4th International Conference on Image, Video and Signal Processing, IVSP 2022

作者： Pan, Xueling Li, Guohe Liu, Shunxin Yu, Qiuyue Li, Ying Beijing Key Lab of Data Mining for Petroleum Data China University of Petroleum Beijing102249 China College of Information Science and Engineering China University of Petroleum Beijing102249 China Department of Computer Science and Technology China University of Petroleum-Beijing at Keramay China

ISBN: (纸本)9781450387415

Due to bias towards major class samples, the traditional classifier cannot obtain excellent performance in imbalanced data. The under-sampling approach is one of the effective methods in imbalance classification. Nowadays, most of the under-sampling methods do not consider the global and local distribution of samples and the intra-class imbalance problem simultaneously. In addition, the sampling quantity cannot be adjusted adaptively in the practical application. To handle the above problems, in this paper, we propose a novel under-sampling approach with the Gaussian mixture model and Jensen-Shannon divergence, called GD-US. Firstly, it utilizes a Gaussian mixture model to cluster the majority class samples. And then, it calculates the number of sampling in each cluster according to its sparsity. In addition, GD-US adopts the global and local distribution of samples to decide the probability of deleting samples. Eventually, the Jensen-Shannon divergence is used to control the number of sampling. The experimental results show that the proposal can help solve the imbalance problem and enhance the classification accuracy. © 2022 ACM.

关键词： data mining

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Measurement of absorption spectroscopy enabled by a polarization-multiplexed dual-comb laser

Measurement of absorption spectroscopy enabled by a polariza...

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2023 IEEE International Conference on Imaging Systems and Techniques, IST 2023

作者： Zhang, Chenghong Wang, Gang Sun, Jingxuan Fu, Bo Xu, Lijun Beihang University School of Instrumentation and Optoelectronic Engineering Beijing China Beihang University Key Lab. of Big Data-Based Prec. Med. Min. of Indust. and Info. Technol. Sch. of Eng. Medicine Beijing China

ISBN: (纸本)9798350330830

Absorption spectroscopy has been widely used in non-intrusive chemical analysis. Dual-comb spectroscopy is emerging as an effective tool for the measurement of absorption spectroscopy with both high resolution and wide bandwidth. Herein, we proposed a simple measurement of the absorption spectrum based on a polarization-multiplexed dual-comb laser. The free-running dual combs generated from a single cavity were highly coherent. In addition, the two combs possess overlapped spectra. Therefore, the dual-comb laser was utilized to perform dual-comb spectroscopy directly without a servo-locking system. The signal-to-noise ratio of interferograms in the time domain was effectively improved by the coherent average. The linear relationship between the signal-to-noise ratio and the square root of average times indicated the dual-comb laser was highly coherent. Taking advantage of the stable dual-comb laser, the extracted weak absorption features of hydrogen cyanide within the wavelength range of 1560 to 1566 nm were in line with the HITRAN database. To the best of our knowledge, it is the first time to realize the measurement of absorption spectrum at 1.5-μm with dual combs under such low repetition rates. Such kind of dual-comb laser provides an effective approach for the realization of low-cost and high-resolution absorption spectroscopy. The simple and high-resolution dual-comb spectrometer could be further applied in quantitative measurements based on absorption spectroscopy, such as measurements of temperature and concentration. © 2023 IEEE.

关键词： Absorption spectroscopy

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Taxi Station Location Model Based on Spatio-Temporal Demand Cube

Taxi Station Location Model Based on Spatio-Temporal Demand ...

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2023 International Conference on Networking and Network Applications, NaNA 2023

作者： Gao, LuLu Li, XiaoNan Wei, ZhiCheng Key Lab of Network and Information Security Hebei Province Shijiazhuang China College of Computer and Cyber Security Hebei Province Shijiazhuang China Hebei Normal University Hebei Provincial Engineering Research Center for Supply Chain Big Data Analytics & Security Hebei Province Shijiazhuang China

ISBN: (纸本)9798350327380

With the widespread use of mobile apps, empty taxis can easily receive new orders without having to roam around. Therefore, it is necessary to plan taxi stations where empty taxis can park. In the location selection problem, the spatial and temporal distribution of passenger demand needs to be considered to ensure that the selected location can meet the actual needs of passengers. In this paper, a Spatio-Temporal Cube Demand Coverage Model (STC-DCM) is proposed for taxi station location selection. Firstly, a spatiotemporal demand cube is constructed to obtain fine-grained user demands based on time and space, and genetic algorithm is used to maximize the demand coverage rate. Then, the final location selection results are obtained using the fusion module and adjustment optimization module, where the fusion module integrates multiple location selection solutions using ensemble learning method. Experimental results show that our proposed model can better cover dynamic passenger demand compared to traditional models. © 2023 IEEE.

关键词： Genetic algorithms

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Research on Emergency Navigation Path Planning System for Plateau Regions 12

Research on Emergency Navigation Path Planning System for Pl...

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12th IEEE International Conference on Electronics Information and Emergency Communication, ICEIEC 2022

作者： Dong, Xiaorui Li, Jiansheng Cui, Jian Fan, Guohua Shang, Kai Institute of Geospatial Information Pla Information Engineering University Henan Province Zhengzhou China Shandong Institute of Petroleum and Chemical Technology Key Lab of Artificial Intelligence and Data Mining Shandong Province Dongying China

ISBN: (数字)9781665407540

ISBN: (纸本)9781665407540

The study of emergency navigation path planning methods in plateau regions has very important economic and social significance. In this paper, we proposed a system design scheme combining road network database and satellite remote sensing images with a flat plateau region as the research object. The proposed system performs image pre-processing operations on real-time remote sensing images based on historical remote sensing data, road network extraction and land classification using remote sensing semantic segmentation techniques, and rasterized maps are established in combination with the road network database, taking into account the different types of motion carriers and the influence of image noise for fast emergency navigation path planning. The proposed system architecture approach is a reference value for research in related fields. © 2022 IEEE.

关键词： Motion planning

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Extended State Observer Based Sliding Mode Control for a Class of Dynamic Systems with Input Constraint

Extended State Observer Based Sliding Mode Control for a Cla...

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2022 International Conference on Computer engineering and Artificial Intelligence, ICCEAI 2022

作者： Yang, Jiaqianhao Wang, Min-Yi Xiong, Jing-Jing China Jiliang University College of Mechanical and Electrical Engineering China Jiliang University Key Lab. of Intelligent Mfg. Quality Big Data Tracing and Analysis of Zhejiang Province Hangzhou310018 China

ISBN: (数字)9781665468039

ISBN: (纸本)9781665468039

This paper is devoted to developing an extended state observer based sliding mode control method to realize the robust tracking control for a class of dynamic systems with input constraint. Firstly, in order to avoid system input saturation, auxiliary subsystem is introduced. Secondly, the extended state observer is used to estimate the total disturbance item of dynamic system including nonlinearity and external disturbance term. Then, by combining the Lyapunov stability theory, an extended state observer based sliding mode tracking controller is proposed to ensure that the tracking error system can be driven onto the sliding mode surface, and the asymptotic convergence of the tracking error is guaranteed. Finally, corresponding simulation results are carried out to illustrate the effectiveness of the proposed control method. © 2022 IEEE.

关键词： Sliding mode control

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Extended State Observer Based Nonsingular Terminal Sliding Mode Control for a Class of Dynamic Systems

Extended State Observer Based Nonsingular Terminal Sliding M...

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2022 International Conference on Computer engineering and Artificial Intelligence, ICCEAI 2022

作者： Wang, Min-Yi Yang, Jiaqianhao Xiong, Jing-Jing Key Lab. of Intelligent Manufacturing Quality Big Data Tracing and Analysis of Zhejiang Province China Jil-iang University College of Mechanical and Electrical Engineering China Jiliang University Hangzhou310018 China

ISBN: (数字)9781665468039

ISBN: (纸本)9781665468039

For the problem of tracking control of a class of dynamic systems, an extended state observer based nonsingular terminal sliding mode control is proposed by sufficiently considering nonlinear characteristics and external disturbance. Firstly, in order to estimate and compensate the unknown total disturbance item of dynamic systems, the extended state observer is designed. Secondly, the nonsingular terminal sliding mode controller is designed to ensure that the tracking error converges to zero in finite time. Finally, abundant simulation results validate the effectiveness of the proposed control method. © 2022 IEEE.

关键词： Sliding mode control

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