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检索条件"机构=Service Computing Technology and System Key Laboratory"
2394 条 记 录,以下是471-480 订阅
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WBRP: Consensus Algorithm Based on Weak Proof of Work
WBRP: Consensus Algorithm Based on Weak Proof of Work
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IEEE International Conference on Blockchain (Blockchain)
作者: Jiarui Li Dongbin Wang Hui Zhi Wencheng Zhu Jianing Li Zedong Wang School of Cyberspace Engineering Beijing University of Post and Telecommunications Beijing China National Engineering Laboratory for Mobile Network Beijing China TravelSky Technology Limited Beijing China Key Laboratory of Ministry of Education and Trustworthy Distributed Computing and Service Beijing China
Nakamoto Consensus (NC) is a classic Proof of Work (PoW) consensus algorithm where the probability of miners earning the right to a block is proportional to their computational power. To prevent blockchain forks, the ... 详细信息
来源: 评论
Enhanced Practical Byzantine Fault Tolerance for service Function Chain Deployment: Advancing Big Data Intelligence in Control systems
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Computers, Materials and Continua 2025年 第3期83卷 4393-4409页
作者: Peiying Zhang Yihong Yu Jing Liu Chong Lv Lizhuang Tan Yulin Zhang Qingdao Institute of Software College of Computer Science and Technology China University of Petroleum (East China) Qingdao 266580 China Shandong Key Laboratory of Intelligent Oil & Gas Industrial Software Qingdao 266580 China Library of Shanghai Lixin University of Accounting and Finance Shanghai 201209 China Key Laboratory of Computing Power Network and Information Security Ministry of Education Shandong Computer Science Center (National Supercomputer Center in Jinan) Qilu University of Technology (Shandong Academy of Sciences) Jinan 250014 China Shandong Provincial Key Laboratory of Computing Power Internet and Service Computing Shandong Fundamental Research Center for Computer Science Jinan 250014 China Key Laboratory of Ethnic Language Intelligent Analysis and Security Governance of MOE Minzu University of China Beijing 100081 China Key Laboratory of Intelligent Game Yangtze River Delta Research Institute of NPU Taicang 215400 China Key Laboratory of Education Informatization for Nationalities (Yunnan Normal University) Ministry of Education Kunming 650092 China
As Internet of Things (IoT) technologies continue to evolve at an unprecedented pace, intelligent big data control and information systems have become critical enablers for organizational digital transformation, facil... 详细信息
来源: 评论
Securely Fine-tuning Pre-trained Encoders Against Adversarial Examples
arXiv
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arXiv 2024年
作者: Zhou, Ziqi Li, Minghui Liu, Wei Hu, Shengshan Zhang, Yechao Wan, Wei Xue, Lulu Zhang, Leo Yu Yao, Dezhong Jin, Hai National Engineering Research Center for Big Data Technology and System China Services Computing Technology and System Lab. China Cluster and Grid Computing Lab. China Hubei Engineering Research Center on Big Data Security China Hubei Key Laboratory of Distributed System Security China School of Computer Science and Technology Huazhong University of Science and Technology China School of Software Engineering Huazhong University of Science and Technology China School of Cyber Science and Engineering Huazhong University of Science and Technology China School of Information and Communication Technology Griffith University Australia
With the evolution of self-supervised learning, the pre-training paradigm has emerged as a predominant solution within the deep learning landscape. Model providers furnish pre-trained encoders designed to function as ... 详细信息
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Entropy-based Traffic Congestion Propagation Pattern Mining with GPS Data
Entropy-based Traffic Congestion Propagation Pattern Mining ...
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IEEE International Conference on Big Data Analysis (ICBDA)
作者: Xinyuan Sui Yaying Zhang Key Laboratory of Embedded System and Service Computing Tongji University Shanghai China
Traffic congestion in urban areas has become a critical issue in the world. As the limits of road topology and the influence of residents' commuting periodic patterns, the same part of the road network usually get... 详细信息
来源: 评论
Reinforcement learning based time-domain mutual interference avoidance for automotive radar
Reinforcement learning based time-domain mutual interference...
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IET International Radar Conference (IRC 2023)
作者: He Xiao Jianping Wang Runlong Li Yuan He Key Laboratory of Trustworthy Distributed Computing and Service Beijing University of Posts and Telecommunications Beijing People's Republic of China Faculty of EEMCS Delft University of Technology Delft Netherlands
Due to the extensive usage of automotive radars on vehicles, mutual interference among radars on the road is becoming considerable. To address this, we propose a time domain strategy based on deep reinforcement learni...
来源: 评论
A Survey on Task Partitioning and Scheduling for Vehicular Edge computing
A Survey on Task Partitioning and Scheduling for Vehicular E...
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IEEE International Conference on Cyber Security and Cloud computing (CSCloud)
作者: Jing Huang Wenyu Wu Weihong Huang Yufeng Xiao Li Lisi Jinxi Sun School of Computer Science and Engineering Hunan University of Science and Technology Hunan Key Laboratory for Service Computing and Novel Software Technology Xiangtan China The Bilingual Experimental School Attached to HNSDFZ Changsha China
Vehicle edge computing (VEC) has become an important research field in recent years. In VEC, computation offloading moves computationally intensive tasks from resource-constrained devices to the network edge, it provi...
来源: 评论
TGCN-DA: A Temporal Graph Convolutional Network with Data Augmentation for High Accuracy Insider Threat Detection
TGCN-DA: A Temporal Graph Convolutional Network with Data Au...
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IEEE International Conference on Trust, Security and Privacy in computing and Communications (TrustCom)
作者: Ximing Li Linghui Li Xiaoyong Li Binsi Cai Bingyu Li Key Laboratory of Trustworthy Distributed Computing and Service Ministry of Education Beijing University of Posts and Telecommunications Beijing China School of Cyber Science and Technology Beihang University Beijing China
Insider threats present a formidable challenge to cybersecurity, as insiders possess the privileges and information necessary to execute diverse attacks. A comprehensive analysis of user behavior, including behavioral... 详细信息
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DRL-Based Time-Varying Workload Scheduling With Priority and Resource Awareness
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IEEE Transactions on Network and service Management 2025年
作者: Liu, Qifeng Fan, Qilin Zhang, Xu Li, Xiuhua Wang, Kai Xiong, Qingyu Chongqing University School of Big Data and Software Engineering Chongqing400044 China Chongqing University Key Laboratory of Dependable Service Computing in Cyber Physical Society of Ministry of Education Chongqing400044 China Nanjing University School of Electronic Science and Engineering Nanjing210023 China Haihe Laboratory of Information Technology Application Innovation Tianjin300072 China Harbin Institute of Technology School of Computer Science and Technology Weihai264209 China Shandong Key Laboratory of Industrial Network Security Weihai264209 China
With the proliferation of cloud services and the continuous growth in enterprises' demand for dynamic multi-dimensional resources, the implementation of effective strategy for time-varying workload scheduling has ... 详细信息
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A Heuristic-based Dynamic Scheduling and Routing Method for Industrial TSN Networks
A Heuristic-based Dynamic Scheduling and Routing Method for ...
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IEEE International Conference on Cyber Security and Cloud computing (CSCloud)
作者: Honglong Chen Mindong Liu Jing Huang Zhiling Zheng Weihong Huang Yufeng Xiao School of Computer Science and Engineering Hunan University of Science and Technology Hunan Key Laboratory for Service Computing and Novel Software Technology Xiangtan China Information Center Hunan Industry Polytechnic Changsha China
In the industrial environment, machines often need to reflect the anomaly detection results to the total control center in time, and the general industrial network can not achieve high real-time. In order to solve suc...
来源: 评论
On the Effectiveness of Function-Level Vulnerability Detectors for Inter-Procedural Vulnerabilities
arXiv
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arXiv 2024年
作者: Li, Zhen Wang, Ning Zou, Deqing Li, Yating Zhang, Ruqian Xu, Shouhuai Zhang, Chao Jin, Hai School of Cyber Science and Engineering Huazhong University of Science and Technology Wuhan China Department of Computer Science University of Colorado Colorado Springs Colorado SpringsCO United States Institute for Network Sciences and Cyberspace Tsinghua University Beijing China School of Computer Science and Technology Huazhong University of Science and Technology Wuhan China National Engineering Research Center for Big Data Technology and System Services Computing Technology and System Lab Hubei Key Laboratory of Distributed System Security Hubei Engineering Research Center on Big Data Security Cluster and Grid Computing Lab China JinYinHu Laboratory Wuhan China
Software vulnerabilities are a major cyber threat and it is important to detect them. One important approach to detecting vulnerabilities is to use deep learning while treating a program function as a whole, known as ... 详细信息
来源: 评论