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Thinking and Practice of Online Teaching under COVID-19 Epidemic

Thinking and Practice of Online Teaching under COVID-19 Epid...

引用

IEEE International Conference on Computer Science and Educational Informatization (CSEI)

作者： Zhang Ping Liu Fudong Shan Zheng State Key Laboratory of Mathematical Engineering and Advanced computing Zhengzhou China

ISBN: (数字)9781728170084

ISBN: (纸本)9781728170091

Response to the outbreak of COVID-19, classes in this semester are mainly replaced by online teaching to ensure continual learning. Teachers are actively exploring effective online teaching methods to provide a good learning experience for students at home. This paper presents an online teaching model based on the idea of Problem-Based Learning (PBL) and take “Data Structure” as an example to discuss the design of teaching process and problems.

关键词： Computer aided instruction Data structures Internet Streaming media Testing COVID-19 Electronic learning

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Embedding Attribute and Relation Information for Person Entity Alignment

Embedding Attribute and Relation Information for Person Enti...

引用

International Conference on Big Data and Information Analytics (BigDIA)

作者： Can Wang Xiaonan Liu Meijuan Yin State Key Laboratory of Mathematical Engineering and Advanced Computing Zhengzhou China

ISBN: (数字)9781665422321

ISBN: (纸本)9781665446662

Person entity alignment is to distinguish whether the person entity information extracted from different data sources refer to the same entity. Existing methods mainly use attribute and relation information of entity to solve entity alignment problem. Most of them are based on common information of entity, while ignore some non-common but semantically similar attribute information and they only consider the relation between first-order adjacent entity, which makes it difficult to accurately align entity in the case of scarcity of common information. so we propose a person entity alignment method based on joint embedding of attribute and relation information, which makes full use of non-common but related information of entity to align them and improves the Hit@k of alignment results when common information is sparse. In the method, the representation vector of attribute information and the representation vector of relation information are obtained by embedding. During embedding, we consider the identification of different attributes and the second-order relation between entities to improve the role of feature attributes and the second-order relation in entity alignment. When calculating the similarity of entities, binary linear regression model is used to fit the weight of attribute information and relation information similarity, so as to adapt to the different characteristics of the entity data under different circumstances. The experimental results show that, compared with the related methods, the Hit@1 value and Hit@10 value of the proposed method increased by more than 8.4% and more than 9.1% respectively.

关键词： Adaptation models Linear regression Big Data Data models Data mining

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Software Deployment Strategy Based on Performance and Heterogeneity

Software Deployment Strategy Based on Performance and Hetero...

引用

IEEE Information Technology and Mechatronics engineering Conference (ITOEC)

作者： Hao Liu Zheng Zhang Zhenwu Liu Gaofei Zhang Yufeng Zhao State key Laboratory of Mathematical Engineering and Advanced Computing Zhengzhou China

ISBN: (数字)9781728143231

ISBN: (纸本)9781728143248

In the current cyberspace field, the positions of offensive and defensive parties are extremely imbalanced. Aiming at the weakness of web virtual hosting in this paper, we combine software diversity technology to build a heterogeneous software variant library, and propose a software deployment strategy based on software performance and heterogeneity. Considering the attributes of the software and the structural characteristics of the network topology comprehensively, we implement the software deployment of each virtual site in the network topology. Our analysis shows that our deployment strategy can make the heterogeneity and performance of the entire network topology reach a high level, and further improve the security of complex network environment. Finally, we use the real-world network topologies to verify the feasibility of our method.

关键词： Security Cloud computing Complex networks Web services Software algorithms

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Dynamic Array Double-Access Attack in Ethereum

Dynamic Array Double-Access Attack in Ethereum

引用

International Conference on Computer and Communications (ICCC)

作者： Xiangyang Chang Junhu Zhu Shibin Zhao State Key Laboratory of Mathematical Engineering and Advanced Computing Zhengzhou China

ISBN: (数字)9781728186351

ISBN: (纸本)9781728186368

We propose a new type of variable coverage method called Dynamic Array Double-Access Attack (DADA Attack) in Ethereum Virtual Machine (EVM). Such attack can read and write operations anywhere in the storage area, resulting in abnormal execution of contract and out of control. Vulnerable contracts with such attacks will directly lead to the loss of a large amount of property. To evaluate the effectiveness of such Double-Access Attack, we conducted theoretical analysis and experimental verification, finding attack success rate is 100% under the condition that dynamic array length is controllable.

关键词： Conferences Manuals Writing Virtual machining Contracts

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Optimal Strategy Selection of Dynamic Protocol Stack Based on Game Theory

Optimal Strategy Selection of Dynamic Protocol Stack Based o...

引用

IEEE International Conference on Software engineering and Service Sciences (ICSESS)

作者： Zhengke He Bin Lu State Key Laboratory of Mathematical Engineering and Advanced Computing Zhengzhou China

ISBN: (数字)9781728165790

ISBN: (纸本)9781728165806

Mobile target defense technology not only protects system security, but also increases the cost of system operation. How to reduce the defense cost as much as possible while achieving the defense function is a current research point. This article proposes a dynamic protocol stack for sniffing attacks. By constructing a protocol stack that dynamically transforms the protocol format, it increases the difficulty of the attacker's reverse analysis of the protocol format, so that even if the attacker captures the data packet, he cannot obtain the sensitive data carried in it. At the same time, based on the idea of dynamic protocol stack, this paper uses dynamic game with incomplete information as the theoretical basis to establish a multi-stage mobile target defense game model. Through quantitative analysis of the costs and benefits of both offense and defense, the optimal defense strategy for attacks of varying degrees of damage is selected. Finally, the feasibility and effectiveness of the model are proved through simulation experiments.

关键词： Protocols Statistical analysis Systems operation Games Transforms Security Software engineering

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A Software Upgrade Security Analysis Method on Network Traffic Classification using Deep Learning

A Software Upgrade Security Analysis Method on Network Traff...

引用

Urban engineering and Management Science (ICUEMS), International Conference on

作者： Bing Zhang State Key Laboratory of Mathematical Engineering and Advanced Computing Zhengzhou China

ISBN: (数字)9781728188324

ISBN: (纸本)9781728188331

Nowadays, the vulnerability in the software upgrade process are extremely harmful to network security. However, the detection of upgrade vulnerability is facing serious difficulties and problems. Aiming at the current software upgrade vulnerability analysis problem, we propose a neural network model for traffic classification based on two levels of data packets and network flows. This method does not need to manually extract features and can learn the dependency relationship between data packets and networks well. It can make full use of comprehensive flow features for traffic classification. In order to evaluate the model, we built a dataset of software upgrade vulnerabilities and conducted relevant experiments on the CICIDS 2017 dataset. The experimental results show that compared with other RNN models, our model has the best performance, reaching a precision of 99.86% and an F1 score of 99.44%. At the same time, based on the pre-trained model, we use the software upgrade vulnerability dataset to fine-tuning the model, with the F1 score reaching 99.78%.

关键词： Conferences Software Measurement

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Recommendation of cyber attack method based on knowledge graph

Recommendation of cyber attack method based on knowledge gra...

引用

Computer engineering and Intelligent Control (ICCEIC) International Conference on

作者： Yunjia Ou Tianyang Zhou Junhu Zhu State Key Laboratory of Mathematical Engineering and Advanced Computing Zhengzhou China

ISBN: (数字)9781728185736

ISBN: (纸本)9781728185743

The lack of correlation between the new cyber attack intelligence and the knowledge database makes it difficult for the recommendation system to recommend effective cyber attack knowledge in terms of the new security intelligence. This paper proposes an cyber attack method intelligence recommendation algorithm based on knowledge graph. Firstly, it proposes a cyber attack knowledge graph construction scheme based on four kinds of open security databases. Then, based on the idea of collaborative filtering recommendation, the meta-path is introduced to describe different relations between nodes. At last, the recommendation list could be generated by calculating the correlation score of each path with node vector. Compared with the content-based recommendation method, the effectiveness of this method is proved.

关键词： Knowledge engineering Correlation Databases Knowledge based systems Security Cyberattack Intelligent control

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Topology-Aware Software Assignment in Networked Systems 2

Topology-Aware Software Assignment in Networked Systems

引用

2019 2nd International Conference on advanced Algorithms and Control engineering, ICAACE 2019

作者： Wang, Junchao Liu, Hao Liu, Zhenwu Zhang, Zheng Pang, Jianmin State Key Laboratory of Mathematical Engineering and Advanced Computing Zhengzhou China

Cyberspace mimic defense has been proven to be a revolutionary defense technology that "changes the rules of the game" to ensure the security of cyberspace. However, the software diversity inherent in mimic defense technology may increase the difficulty in managing software executable binaries, especially when updating or debugging a software. In this paper, we study the problem of software assignment in a networked system to minimise the number of binaries generated by mimic compilers. Mimic compilers can help to generate functional equivelant software executables which exhibits diverse characteristics such as binary size etc. Theoretically the software assignment problem is equal to the traditional graph coloring problem. To guarantee network severity, we apply a Welsh-Powell-based Software Assignment (WPSA) algorithm to determine the number of binaries needed and the assignment of these binaries to hosts in a network. We conduct experiments on real world network topologies. Experimental results show that our algorithm can effectively reduce the number of binaries needed in networked systems. © Published under licence by IOP Publishing Ltd.

关键词： Network topology

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Clustering and Routing Optimization Algorithm for Heterogeneous Wireless Sensor Networks

Clustering and Routing Optimization Algorithm for Heterogene...

引用

International Wireless Communications and Mobile computing Conference, IWCMC

作者： Ling Chen Wenwen Liu Daofu Gong Yan Chen State Key Laboratory of Mathematical Engineering and Advanced Computing Zhengzhou China

ISBN: (数字)9781728131290

ISBN: (纸本)9781728131306

Wireless sensor network (WSN) is the cutting-edge technology of modern monitoring technology. There is a direct relationship between the length of its lifetime and its performance. Efficient and reasonable clustering and routing algorithm can reduce the energy loss in the network, which is of great significance for prolonging the network lifetime. The traditional WSN protocol has been difficult to meet the needs of the contemporary society. This paper focuses on the advantages and disadvantages of the traditional WSN protocol, and puts forward relevant improvement measures to optimize the traditional WSN protocol and extend the network life time.

关键词： Wireless sensor networks Clustering algorithms Routing Energy consumption Head Wireless communication Clustering methods

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Unknown Traffic Identification Based on Deep Adaptation Networks

Unknown Traffic Identification Based on Deep Adaptation Netw...

引用

IEEE Conference on ALocal Computer Networks Workshops (LCN Workshops)

作者： Ziji Yang Wei Lin State Key Laboratory of Mathematical Engineering and Advanced Computing Zhengzhou China

ISBN: (数字)9781728183145

ISBN: (纸本)9781728183152

Network traffic classification has become an important basis for computer networks. However, the emergence of new applications, which generate unknown traffic constantly, has brought new challenges. The most critical challenge is how to divide the mixed unknown traffic into clusters containing only one category. In this paper, we propose a transfer learning approach using Deep Adaptation Network (DAN). This approach utilizes a few labeled samples from known traffic to improve the clustering purity of unknown traffic. We first trained a Convolutional Neural Network (CNN) model on unlabeled dataset with sampled time-series features. Then the model was extended to an adaptation model, co-trained on labeled and unlabeled samples. We evaluated our model using two publicly available datasets, achieving a purity of 98.23%. Our results demonstrate the effectiveness of DAN model in unknown traffic clustering. Moreover, we studied three sampling techniques and five clustering algorithms in our model for better clustering performance.

关键词： Adaptation models Protocols Transfer learning Telecommunication traffic Labeling Convolutional neural networks Knowledge transfer

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