2021 IEEE 27th International Conference on Parallel and Distributed Systems (ICPADS)最新文献_第7页

Message from the Technical Program Chairs ICPADS 2021 ICPADS 2021技术项目主席致辞

2021 IEEE 27th International Conference on Parallel and Distributed Systems (ICPADS) Pub Date : 2021-12-01 DOI: 10.1109/icpads53394.2021.00005

引用次数: 0

Anti-Replay: A Fast and Lightweight Voice Replay Attack Detection System 反重放:一个快速和轻量级的语音重放攻击检测系统

2021 IEEE 27th International Conference on Parallel and Distributed Systems (ICPADS) Pub Date : 2021-12-01 DOI: 10.1109/ICPADS53394.2021.00027

Zhuoyang Shi, Chaohao Li, Zizhi Jin, Weinong Sun, Xiaoyu Ji, Wenyuan Xu

{"title":"Anti-Replay: A Fast and Lightweight Voice Replay Attack Detection System","authors":"Zhuoyang Shi, Chaohao Li, Zizhi Jin, Weinong Sun, Xiaoyu Ji, Wenyuan Xu","doi":"10.1109/ICPADS53394.2021.00027","DOIUrl":"https://doi.org/10.1109/ICPADS53394.2021.00027","url":null,"abstract":"Due to the open nature of voice and voice interface, attackers can easily record the user's voice commands and spoof the voice recognition systems by replaying them. Existing voice replay attack detection methods mainly rely on extra hardware to determine the sound source or require excessively computing resources for training the classifier with a large number of acoustic features. Hence, we propose Anti-Replay, a fast and lightweight detection system for voice replay attacks. To overcome the challenge of redundant classification feature vectors and complex calculation, we first investigate the spectrum difference between live-human voice and the replayed audio caused by the non-linear distortion of the attacker's microphones and speakers and then extract 72-dimensional feature vectors. Then we employ a single deep convolutional neural network classifier (SE-ResNet50) to enhance the robustness of our classification model. Finally, we evaluate the performance of Anti-Replay on the datasets of ASVspoof2017 and ASVspoof2019. Results show that Anti-Replay can achieve an equal error rate (EER) of 2.38% and 0.82% on two datasets, respectively. Meanwhile, the training time and the model size of Anti-Replay have decreased by 56% and 84% compared with the baseline model (i.e., CQCC-GMM).","PeriodicalId":309508,"journal":{"name":"2021 IEEE 27th International Conference on Parallel and Distributed Systems (ICPADS)","volume":"252 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134268851","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 1

Indoor sneezing and coughing detection based on COTS wireless device 基于COTS无线装置的室内打喷嚏和咳嗽检测

2021 IEEE 27th International Conference on Parallel and Distributed Systems (ICPADS) Pub Date : 2021-12-01 DOI: 10.1109/ICPADS53394.2021.00101

Zhanjun Hao, Daiyang Zhang, Yu Duan, Xiao-chao Dang

{"title":"Indoor sneezing and coughing detection based on COTS wireless device","authors":"Zhanjun Hao, Daiyang Zhang, Yu Duan, Xiao-chao Dang","doi":"10.1109/ICPADS53394.2021.00101","DOIUrl":"https://doi.org/10.1109/ICPADS53394.2021.00101","url":null,"abstract":"Coughing and sneezing are important routes of virus transmission. Droplets carrying the virus enter the air and spread rapidly, increasing the spread of the disease. Therefore, how to accurately detect coughing and sneezing behaviors in a timely manner so as to effectively warn the spread of the virus has become an urgent problem. To solve this problem, we designs a coughing and sneezing detection scheme for indoor people on commercial wireless devices. First, the Doppler shift feature image caused by the action is segmented using a clustering algorithm, which reduces the computational overhead of the system. Then, the HOG features of the segmented image are extracted and input to the two-dimensional SOM network for action classification and recognition, which effectively improves the detection accuracy of target actions. Finally, a dataset consisting of real coughing and sneezing actions is constructed and open-sourced in this paper. The performance of this solution was tested and analyzed in several dimensions under two typical application scenarios. The results show the robustness of this scheme and the accuracy up to 93.1% in real-world scenarios. Our solution offers a new technology and method for disease prevention detection.","PeriodicalId":309508,"journal":{"name":"2021 IEEE 27th International Conference on Parallel and Distributed Systems (ICPADS)","volume":"30 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134589367","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 1

Building Agile Workflow Microservice System for HPC Applications Based on Fast-start OSv 基于快速启动OSv的HPC应用敏捷工作流微服务系统构建

2021 IEEE 27th International Conference on Parallel and Distributed Systems (ICPADS) Pub Date : 2021-12-01 DOI: 10.1109/ICPADS53394.2021.00071

Qiangxin Hu, Lixian Ma, En Shao, Guangming Tan

{"title":"Building Agile Workflow Microservice System for HPC Applications Based on Fast-start OSv","authors":"Qiangxin Hu, Lixian Ma, En Shao, Guangming Tan","doi":"10.1109/ICPADS53394.2021.00071","DOIUrl":"https://doi.org/10.1109/ICPADS53394.2021.00071","url":null,"abstract":"The advances of containers have significantly promoted the development of microservice architecture. This architecture splits a monolithic application into multiple independent components and the container orchestrator manages these components by the container in the cloud environment. The feasibility of deploying high performance computing(HPC) applications as microservices has been proven, but the existing container orchestrator incurs a large performance overhead as there is interference between different containers on the same physical host. In this paper, we design an agile workflow microservice system for HPC applications with fast-start OSv. We consider improving HPC workflow performance from two aspects: single OSv startup time optimization and workflow orchestration optimization. For single OSv startup time optimization, we design a fast-start OSv by analyzing the process of OSv startup and finding an optimization by modifying OSv source code. In this way, we get nearly 50% improvement of startup time. For workflow orchestration optimization, we propose four optimization techniques to speed up the execution of workflow by jointly considering OSv and workflow features, namely: node fusion, node merge, image preload, boot delay. Furthermore, we utilize our fast startup OSv to design an orchestration system for efficiently building an agile HPC workflow microservice by Kubevirt. Our experimental results optimization microservice system reduces the execution time by 30% compared with the original deployment with docker.","PeriodicalId":309508,"journal":{"name":"2021 IEEE 27th International Conference on Parallel and Distributed Systems (ICPADS)","volume":"46 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129356758","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Multi-Level IoT Device Identification 多层次物联网设备识别

2021 IEEE 27th International Conference on Parallel and Distributed Systems (ICPADS) Pub Date : 2021-12-01 DOI: 10.1109/ICPADS53394.2021.00073

Ruohong Jiao, Zhe Liu, Liang Liu, Chunpeng Ge, G. Hancke

引用次数: 1

A Gather Accelerator for GNNs on FPGA Platform 基于FPGA平台的gnn聚合加速器

2021 IEEE 27th International Conference on Parallel and Distributed Systems (ICPADS) Pub Date : 2021-12-01 DOI: 10.1109/ICPADS53394.2021.00015

W. Yuan, Teng Tian, Huawen Liang, Xi Jin

引用次数: 1

Simulating Authenticated Broadcast in Networks of Bounded Degree 在有限度网络中模拟认证广播

2021 IEEE 27th International Conference on Parallel and Distributed Systems (ICPADS) Pub Date : 2021-12-01 DOI: 10.48550/arXiv.2203.03314

Shaolin Yu, Jihong Zhu, Jiali Yang, Yue Ma

引用次数: 1

An Electromagnetic Covert Channel based on Neural Network Architecture 一种基于神经网络结构的电磁隐蔽信道

2021 IEEE 27th International Conference on Parallel and Distributed Systems (ICPADS) Pub Date : 2021-12-01 DOI: 10.1109/ICPADS53394.2021.00028

Chaojie Gu, Jiale Chen, Rui Tan, Linshan Jiang

{"title":"An Electromagnetic Covert Channel based on Neural Network Architecture","authors":"Chaojie Gu, Jiale Chen, Rui Tan, Linshan Jiang","doi":"10.1109/ICPADS53394.2021.00028","DOIUrl":"https://doi.org/10.1109/ICPADS53394.2021.00028","url":null,"abstract":"Outsourcing the design of deep neural networks may incur cybersecurity threats from the hostile designers. This paper studies a new covert channel attack that leaks the inference results over the air through a hostile design of the neural network architecture and the computing device's electromagnetic radiation when executing the neural network. Specifically, the hostile neural network consists of a series of binary models that correspond to all classes and are executed sequentially. The execution terminates once any binary model given the input is positive about its responsible class. We describe an approach to generate such binary models by pruning a benign neural network that is trained using the standard method to deal with all the classes. Compared with the benign neural network, the hostile one has similar memory usage and negligible classification accuracy drop, but distinct inference times for the samples of different classes. As a result, the hostile neural network's classification result can be eavesdropped by measuring the duration of the electromagnetic radiation emanated from the computing device. As neural networks are stored and transmitted as data files, this covert channel attack is more stealthy to the anti-malware than other code-based attacks. We implement the described attack on two edge computing devices that execute the hostile neural network on CPU or GPU. Evaluation shows 100% empirical accuracy in eavesdropping the inference results.","PeriodicalId":309508,"journal":{"name":"2021 IEEE 27th International Conference on Parallel and Distributed Systems (ICPADS)","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115353613","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

IndigoStore: Latency Optimized Distributed Storage Backend for Cloud-Scale Block Storage IndigoStore:延迟优化的云规模块存储分布式存储后端

2021 IEEE 27th International Conference on Parallel and Distributed Systems (ICPADS) Pub Date : 2021-12-01 DOI: 10.1109/ICPADS53394.2021.00116

Yichao Li, Li Wang, Fanfan Cheng, Ji Wu, Yiyun Zhang, Yiming Zhang

引用次数: 0

Technical Program Committee ICPADS 2021 ICPADS 2021技术计划委员会

2021 IEEE 27th International Conference on Parallel and Distributed Systems (ICPADS) Pub Date : 2021-12-01 DOI: 10.1109/icpads53394.2021.00126

引用次数: 0