检索结果-内蒙古大学图书馆

作者： Li tongyan Lei dong Qin Zhiguang Chengdu University of Information Technology Dept.of Communication Engineering Network and Data Security Key Laboratory of Sichuan Province University of Electronic Science and Technology of China Chengdu University of Information Technology Dept.of Communication Engineering

In communication alarm correlation analysis, original alarm data often have problems about information redundancy, data incompleteness, time synchronization and "sharp boundary". This paper proposed a novel alarm extraction algorithm in order to resolve above problems. We first fuzzy the original alarms to avoid "sharp boundary" during the alarm preprocessing process, and then we proposed a novel double constraint based sliding time window method to improve the efficiency on extracting data. Performance tests of the algorithm indicate that this method has higher extracting efficiency than traditional methods, which is suitable for alarm data in telecommunication networks.

关键词： Alarm correlation analysis fuzzy alarm sharp boundary

来源：评论

学校读者我要写书评

暂无评论

AttriChain: Decentralized traceable anonymous identities in privacy-preserving permissioned blockchain

引用

Computers and security 2020年 99卷

作者： Shao, Wei Jia, Chunfu Xu, Yunkai Qiu, Kefan Gao, Yan He, Yituo College of Cyber Sciences Nankai University Tianjin300350 China School of Cyber Security and Computer Hebei University Tianjin China Bell Honors School Nanjing University of Posts and Telecommunications Nanjin China Tianjin Key Laboratory of Network and Data Security Technology Tianjin300350 China

In this paper, we propose a framework named AttriChain that supports transactions with anonymous sender identity and threshold traceability in permissioned blockchain. AttriChain realizes on-chain access control and distributed identity governance by allowing users to create transactions anonymously using their transaction keys and their attributes. It provides unlinkability and anonymity of transactions belonging to legitimate users whereas provides accountability for those whom other members in the network regard as questionable or malicious. The design of threshold traceability of anonymous transactions allows network members to trace transactions back to the sender without violating the decentralized property of blockchain. In AttriChain, the spontaneous tracing of misbehaviors in the network distributes the power of identity governance to multiple independent tracing members instead of depending on single-point management. It significantly increases user privacy and autonomy in a permissioned network and facilitates auditing at the same time. We define the functionality and the protocol of AttriChain in the universal composable model. We also provide an implementation of an AttriChain prototype for performance analysis. © 2020 Elsevier Ltd

关键词： Blockchain

来源：评论

学校读者我要写书评

暂无评论

Mapping Genome Variants Sheds Light on Genetic and Phenotypic Differentiation in Chinese

引用

Genomics, Proteomics & Bioinformatics 2019年第3期17卷 226-228页

作者： Li Guo Kai Ye MOE Key Laboratory for Intelligent Networks and Network Security Faculty of Electronic and Information EngineeringXi’an Jiaotong UniversityXi’an 710049China The School of Life Science and Technology Xi’an Jiaotong UniversityXi’an 710049China The First Affiliated Hospital of Xi’an Jiaotong University Xi’an 710061China

Every human being looks different in one way or the ***’s the work of genetic variations,the ultimate driving force for evolution as well as the cause for many human *** human genetic variants reveals global genetic ... 详细信息

关键词： Mapping driving ultimate

来源：评论

学校读者我要写书评

暂无评论

A Secure Beamforming Design: When Fluid Antenna Meets NOMA

arXiv

引用

arXiv 2024年

作者： Mai, Lifeng Yao, Junteng Tang, Jie Wu, Tuo Wong, Kai-Kit Shin, Hyundong Adachi, Fumiyuki The Electric Power Research Institute China Southern Power Grid Guangzhou510663 China The Guangdong Provincial Key Laboratory of Power System Network Security Guangdong Guangzhou China The Faculty of Electrical Engineering and Computer Science Ningbo University Ningbo315211 China The School of Electronic and Information Engineering South China University of Technology Guangzhou510006 China The School of Electrical and Electronic Engineering Nanyang Technological University 639798 Singapore The Department of Electronic and Electrical Engineering University College London Torrington Place WC1E 7JE United Kingdom The Department of Electronic Engineering Kyung Hee University Gyeonggi-do Yongin-si17104 Korea Republic of Tohoku University Sendai Japan

This letter proposes a secure beamforming design for downlink non-orthogonal multiple access (NOMA) systems utilizing fluid antenna systems (FAS). We consider a setup where a base station (BS) with M fluid antennas (FAs) communicates to a cell-center user (CU) and a cell-edge user (CEU), each with a FA. The CU is the intended recipient while the CEU is regarded as a potential eavesdropper. Our aim is to maximize the achievable secrecy rate by jointly optimizing the secure beamforming vectors and the positions of FAs. To tackle this, we adopt an alternating optimization (AO) algorithm that optimizes secure beamforming and the positions of the FAs iteratively while keeping the other variables fixed. Numerical results illustrate that when FAs meet NOMA, the proposed scheme greatly enhances the secrecy rate compared to conventional multiple-input single-output (MISO) fixed antenna NOMA systems and other benchmark schemes. © 2024, CC BY.

关键词： Beamforming

来源：评论

学校读者我要写书评

暂无评论

Univariate Forecasting of time series data Based on Seq2Seq Model 20

Univariate Forecasting of time series data Based on Seq2Seq ...

引用

Proceedings of the 2020 4th International Conference on Electronic Information technology and Computer Engineering

作者： Yanwen Guo Tao Wu Yanbing Liu Yixin Jiang Department of Computer Science and Technology Chongqing University of Posts and Telecommunications Chongqing China School of Cybersecurity and Information Law Chongqing University of Posts and Telecommunications Chongqing China Chongqing Engineering Laboratory of Internet and Information Sccurity Chongqing University of Posts and Telecommunications Chongqing China Electric Power Research Institute CSG Guangdong Provincial Key Laboratory of Power System Network Security Guangzhou China

ISBN: (纸本)9781450387811

With the release of country's 2020 new infrastructure projects, the increasing demand for electricity in various projects has further promoted the intelligent upgrade of the power grid. The processing of grid data at the edge has become one of the future trends of next generation grid. In the field of power grid edge time series data prediction, the inability to obtain the variable characteristics of other systems and the uncertainty of the length of various edge input data, this paper proposes a Seq2seq prediction model based on a Bi-directional Long Short Term Memory (Bi-LSTM). Bi-LSTM can make full use of contextual information to achieve a more accurate prediction effect. The Seq2Seq model can process variable-length sequence data. In this paper, Seq2Seq model and BI-LSTM model are combined to solve the problem of uncertain edge length and univariate prediction. At the same time, in order to solve the information loss caused by Seq2Seq in the encoding stage, the Attention mechanism is introduced, it can compute the allocation of resources to more important tasks while addressing the problem of information overload. Through experimental research, it is found that the proposed ABSeq2Seq model is superior to other classic models in univariate prediction, and it has the better generalization for various types of data. We have proved its effectiveness in the single variable power prediction.

关键词： Time Series Bi-LSTM Seq2Seq Prediction Attention Mechanism Univariate

来源：评论

学校读者我要写书评

暂无评论

A Distributed Dynamic Adaptive and Fast Balancing SDN Controller Management 6

A Distributed Dynamic Adaptive and Fast Balancing SDN Contro...

引用

6th Annual 2018 International Conference on Geo-Spatial Knowledge and Intelligence, GSKI 2018

作者： Liu, Yang He, Qian Li, Xiongying Zhou, Shuiming Guangxi Transportation Research and Consulting Co. Ltd Nanning530007 China Guangxi Key Laboratory of Cryptograph and Information Security Guangxi University Key Laboratory of Cloud Computing and Complex System Guilin University of Electronic Technology Guilin541004 China

Tradition Software Defined network (SDN) suffers from single point failure and uneven load distribution problems. Multiple SDN controllers work together to construct a distributed dynamic adaptive cluster with dynamic load balancing for large scale SDN switch stream requesting. Introducing such features as CPU, memory and network load, a Dynamic Adaptive and Fast algorithm (DAF) can select source, target and destination SDN controllers to balance load dynamically. The results of experiments show that DAF works well and improve the cloud service system throughput. © Published under licence by IOP Publishing Ltd.

关键词： Controllers

来源：评论

学校读者我要写书评

暂无评论

Modelling universal order book dynamics in bitcoin market

arXiv

引用

arXiv 2021年

作者： Shi, Fabin Aden, Nathan Huang, Shengda Johnson, Neil Sun, Xiaoqian Gao, Jinhua Xu, Li Shen, Huawei Cheng, Xueqi Song, Chaoming CAS Key Laboratory of Network Data Science and Technology Institute of Computing Technology Chinese Academy of Sciences Beijing China University of Chinese Academy of Sciences Beijing100049 China Department of Physics University of Miami Coral GablesFL33142 United States Physics Department George Washington University WashingtonD.C.20052 United States

Understanding the emergence of universal features such as the stylized facts in markets is a longstanding challenge that has drawn much attention from economists and physicists. Most existing models, such as stochastic volatility models, focus mainly on price changes, neglecting the complex trading dynamics. Recently, there are increasing studies on order books, thanks to the availability of large-scale trading datasets, aiming to understand the underlying mechanisms governing the market dynamics. In this paper, we collect order-book datasets of Bitcoin platforms across three countries over millions of users and billions of daily turnovers. We find a 1+1D field theory, govern by a set of KPZ-like stochastic equations, predicts precisely the order book dynamics observed in empirical data. Despite the microscopic difference of markets, we argue the proposed effective field theory captures the correct universality class of market dynamics. We also show that the model agrees with the existing stochastic volatility models at the long-wavelength limit. © 2021, CC BY.

关键词： Bitcoin

来源：评论

学校读者我要写书评

暂无评论

Provably Robust Node Classification via Low-Pass Message Passing

Provably Robust Node Classification via Low-Pass Message Pas...

引用

IEEE International Conference on Data Mining (ICDM)

作者： Yiwei Wang Shenghua Liu Minji Yoon Hemank Lamba Wei Wang Christos Faloutsos Bryan Hooi School of Computing National University of Singapore Singapore Institute of Computing Technology Chinese Academy of Sciences China CAS Key Laboratory of Network Data Science & Technology CAS and University of Chinese Academy of Sciences Beijing China Carnegie Mellon University United States

ISBN: (数字)9781728183169

ISBN: (纸本)9781728183176

Graph Convolutional networks (GCNs) have achieved state-of-the-art performance on node classification. However, recent works have shown that GCNs are vulnerable to adversarial attacks, such as additions or deletions of adversarially-chosen edges in the graph, in order to mislead the node classification algorithms. How can we design robust GCNs that are resistant to such adversarial attacks? More challengingly, how can we do this in a way that is provably robust? We propose a robust node classification approach based on a low-pass `message passing' mechanism, that (a) reduces the effectiveness of adversarial attacks in experiments, and (b) provides theoretical guarantees against adversarial attacks. Our approach can be embedded into the existing GCN architectures to enhance their robustness. Empirical results show that our loss-pass method effectively improves the performance of multiple GCNs under miscellaneous perturbations and helps them to achieve superior performance on various graphs.

关键词： Resistance Perturbation methods Message passing Reliability engineering Robustness Task analysis Optimization

来源：评论

学校读者我要写书评

暂无评论

Verifiable and Privacy-Preserving Outsourcing of Matrix Multiplications

Verifiable and Privacy-Preserving Outsourcing of Matrix Mult...

引用

International Conference on Cyber-Enabled Distributed computing and Knowledge Discovery, CyberC

作者： Meng Zhao Yong Ding Yujue Wang Huiyong Wang Bo Han School of Mechanical and Electrical Engineering Guilin University of Electronic Technology Guilin China Guangxi Key Laboratory of Cryptography and Information Security School of Computer Science and Information Security Guilin University of Electronic Technology Guilin China School of Mathematics and Computing Science Guilin University of Electronic Technology Guilin China

ISBN: (数字)9781728184487

ISBN: (纸本)9781728184494

Matrix operation is a type of basic operations in many application scenarios. Especially, in the server-assisted applications, the user may need to delegate remote server to perform matrix operations to accomplish the target task. This paper studies the privacy, verifiability and efficiency issues in outsourcing matrix multiplications to an untrusted server. A lightweight outsourcing scheme is constructed, where the user is allowed to request matrix multiplications with privacy protection from the server and verify the correctness of the result. Performance analysis and comparison indicate that our scheme is more efficient than existing solution in each phase, which confirms the practicality of our proposal in supporting applications by resource-limited devices.

关键词： Privacy Outsourcing Performance analysis Servers Proposals Task analysis Monitoring

来源：评论

学校读者我要写书评

暂无评论

GraphEdge: Dynamic graph partition and task scheduling for GNNs computing in edge network

引用

Information Fusion 2025年 124卷

作者： Wenjing Xiao Chenglong Shi Miaojiang Chen Zhiquan Liu Min Chen H. Herbert Song School of Computer Electronics and Information Guangxi University Nanning 530004 China Guangxi Key Laboratory of Multimedia Communications and Network Technology Nanning 530004 China College of Cyber Security Jinan University Guangzhou 510632 China School of Computer Science and Engineering South China University of Technology Guangzhou 510006 China Pazhou Laboratory Guangzhou 510330 China Department of Information Systems University of Maryland Baltimore County (UMBC) Baltimore MD 21250 USA

With the exponential growth of Internet of Things (IoT) devices, edge computing (EC) is gradually playing an important role in providing cost-effective services. However, existing approaches struggle to perform well in graph-structured scenarios where user data is correlated, such as traffic flow prediction and social relationship recommender systems. In particular, graph neural network (GNN)-based approaches lead to expensive server communication cost. To address this problem, we propose GraphEdge, an efficient GNN-based EC architecture. It considers the EC system of GNN tasks, where there are associations between users and it needs to take into account the task data of its neighbors when processing the tasks of a user. Specifically, the architecture first perceives the user topology and represents their data associations as a graph layout at each time step. Then the graph layout is optimized by calling our proposed hierarchical traversal graph cut algorithm (HiCut), which cuts the graph layout into multiple weakly associated subgraphs based on the aggregation characteristics of GNN, and the communication cost between different subgraphs during GNN inference is minimized. Finally, based on the optimized graph layout, our proposed deep reinforcement learning (DRL) based graph offloading algorithm (DRLGO) is executed to obtain the optimal offloading strategy for the tasks of users, the offloading strategy is subgraph-based, it tries to offload user tasks in a subgraph to the same edge server as possible while minimizing the task processing time and energy consumption of the EC system. Experimental results show the good effectiveness and dynamic adaptation of our proposed architecture and it also performs well even in dynamic scenarios.

关键词：

来源：评论

学校读者我要写书评

暂无评论

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案：

请选择收藏分类：

通借通还

建议与咨询 留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案： 新增检索档案 确定 取消

请选择收藏分类： 新增自定义分类 确定 取消

通借通还

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

请选择保存的检索档案：

请选择收藏分类：