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检索条件"机构=State Key Laboratory of Mathematical Engineering and Advanced Computing"

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A Malware Analysis Method Based on Behavioral Knowledge Graph

A Malware Analysis Method Based on Behavioral Knowledge Grap...

引用

2022 International Conference on Electronic Information engineering and Computer Science, EIECS 2022

作者： Xu, Lianqiu Zhang, Chunyan Tang, Ke State Key Laboratory of Mathematical Engineering and Advanced Computing Zhengzhou China

ISBN: (纸本)9781510663312

In recent years, the rapid development of information technology has continuously brought risks and challenges to network security. How to effectively detect and classify malicious codes and avoid serious damage to information systems has become a current research focus. However, the existing malicious code analysis methods have insufficient semantic information and poor feature readability, making it difficult to discover the potential relationship between malicious codes. In order to solve these problems, this paper applies knowledge graph technology to the field of malicious code analysis, constructs malicious code behavior knowledge graph based on dynamic analysis design, and uses the representation learning model TransH to conduct knowledge graph embedding representation research, so as to use KNN algorithm to classify malicious sample families. The experimental results show that the method proposed in this paper has more advantages in the classification of malicious code families than the comparison model. © 2023 SPIE.

关键词： Knowledge graph

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A Framework for Multi-Variant Execution Environment

A Framework for Multi-Variant Execution Environment

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2019 International Conference on Artificial Intelligence Technologies and Applications, ICAITA 2019

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

Software diversity has been proven to be an effective approach to enhance system security. To make the best of the advantage brought by software diversity, a multi-variant execution environment is needed. However, although some MVEEs have been proposed, most of them are either too simple or only focusing one aspect which limits their widely adoption in industry. In this paper we propose a framework for multi-variant execution environment to enhance the security of software systems. The framework addresses different aspects when implementing a MVEE and can help to make the best of software diversity to enhance the system's security. © 2019 IOP Publishing Ltd. All rights reserved.

关键词： Artificial intelligence

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Analysis of TLS Encrypted Communication Behavior Based on Bipartite Graph and Traffic Information Embedding 4

Analysis of TLS Encrypted Communication Behavior Based on Bi...

引用

4th IEEE International Conference on Computer and Communication engineering Technology, CCET 2021

作者： Yan, Lin Jiang, Liehui Wang, Ruimin State Key Laboratory of Mathematical Engineering and Advanced Computing Zhengzhou China

ISBN: (纸本)9781665438902

Currently, encrypted traffic using the TLS protocol is widely used, and there are a lot of malicious and unknown behaviors. It is an important goal in the research field to detect the traffic behavior of TLS and maintain network security and stability. This article is based on TLS encrypted traffic, taking the multi-session communication traffic between the client and the server as the object, and carrying out traffic analysis on the generated bipartite graph. Different from the existing works, this paper focuses on the multiple attributes of TLS traffic and transforms it into a bipartite graph with rich attributes, and breaks the bottleneck of single session traffic detection, avoiding simple graph mining mode analysis. The results of anomaly detection and application classification experiments based on real data sets show that similar client application objects and application behaviors show similar traffic characteristics. Finally, we discussed the importance of using the behavioral similarity of client response objects to identify and detect abnormal traffic in network applications. © 2021 IEEE.

关键词： Embeddings

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Carrying multicast traffic across domain by per-access-network based Wide-Sense Circuit Tree

Carrying multicast traffic across domain by per-access-netwo...

引用

2013 IEEE International Conference of IEEE Region 10, IEEE TENCON 2013

作者： Yue, Chen Chaoling, Li Kaixiang, Huang Xiaobo, Zhang State Key Laboratory of Mathematical Engineering and Advanced Computing Zhengzhou China

ISBN: (纸本)9781479928262

IP multicast suffers from scalability and QoS provisioning problems when supporting large scale group communication cross domain. To solve the problems, we propose WSCT-PAN, a per-access-network based wide-sense circuit tree transmission scheme, in which one Wide-Sense Circuit Tree (WSCT) is established for a class of multicast traffic per access network. By using mapping and label switching, multiple multicast groups' traffic with the same traffic class from the same access network share only one dynamic reconfigurable wide-sense circuit tree in the backbone network. The WSCT branches extend only to the access networks the multicast receivers located in. So, the tradeoff between efficient multicast label switching and traffic redundancy in the backbone network is achieved. Compared with the traditional cross domain multicast, WSCT-PAN is more scalability, and suitable for large scale cross domain multicast deployment. © 2013 IEEE.

关键词： Scalability

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UEFI Trusted computing Vulnerability Analysis Based on state Transition Graph 6

UEFI Trusted Computing Vulnerability Analysis Based on State...

引用

6th IEEE International Conference on Computer and Communications, ICCC 2020

作者： Gu, Yanyang Zhang, Ping Chen, Zhifeng Cao, Fei State Key Laboratory of Mathematical Engineering and Advanced Computing Zhengzhou China

ISBN: (纸本)9781728186351

In the face of increasingly serious firmware attacks, it is of great significance to analyze the vulnerability security of UEFI. This paper first introduces the commonly used trusted authentication mechanisms of UEFI. Then, aiming at the loopholes in the process of UEFI trust verification in the startup phase, combined with the state transition diagram, PageRank algorithm and Bayesian network theory, the analysis model of UEFI trust verification startup vulnerability is constructed. And according to the example to verify the analysis. Through the verification and analysis of the data obtained, the vulnerable attack paths and key vulnerable nodes are found. Finally, according to the analysis results, security enhancement measures for UEFI are proposed. © 2020 IEEE.

关键词： Bayesian networks

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Research and Practice of Blending Teaching of Database System Integrating Ideological and Political Theories 3

Research and Practice of Blending Teaching of Database Syste...

引用

3rd IEEE International Conference on Computer Science and Educational Informatization, CSEI 2021

作者： Yao, Jinyang Liu, Fudong Wang, Junchao Zhao, Bo Shan, Zheng Xu, Peng Engineering and Advanced Computing State Key Laboratory of Mathematical Zhengzhou China

ISBN: (纸本)9781728184739

For the problem of the monotonous teaching form of the database system course, we integrate ideology and politics theories into the teaching design of the database system, combined with the 'Ideological and Political Theories teaching in All Course' concepts. And we have absorbed the advantages of online teaching into the offline teaching, forming an efficient teaching program. The program enable teachers to impart knowledge of professional courses to students while also deepening students' understanding of the connotation of ideology and politics theories. © 2021 IEEE.

关键词： Blending

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Optimal scheme for dynamic adjustment of active mirror in FAST system 5

Optimal scheme for dynamic adjustment of active mirror in FA...

引用

5th International Conference on Computer Science and Artificial Intelligence, CSAI 2021

作者： Zhou, Hongchuan Liu, Jiaqi Song, Junyan Yang, Benchao State Key Laboratory of Mathematical Engineering and Advanced Computing Zhengzhou China

ISBN: (纸本)9781450384155

This paper mainly studies the optimal scheme of dynamic adjustment of active mirror in FAST system by establishing mathematical model. According to the constraints such as distance variation range, a mathematical model describing the dynamic trajectory of the position and angle of the active mirror is established, and the correctness of the solution of the model is verified by simulation. The optimal surface model is selected from all the results. When the measured object is directly above the fast system, it is modeled based on the ideal parabola to ensure that the expansion constraints and threshold conditions of the actuator are met. Because the distribution of actuator and cable in the whole fast system is not a uniform sphere, the change of radial distance of cable can be considered as the expansion of actuator;In addition, the model is optimized from two aspects: adjusting the position of focus on the horizontal plane and changing the size of zoom alignment. From these two aspects, the parabolic focusing range satisfying the expansion range is obtained. Finally, the optimization strategy of dynamic adjustment of active mirror in fast system is given. © 2021 ACM.

关键词： Actuators

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Integrating KNN and Gradient Boosting Decision Tree for Recommendation 5

Integrating KNN and Gradient Boosting Decision Tree for Reco...

引用

5th IEEE advanced Information Technology, Electronic and Automation Control Conference, IAEAC 2021

作者： Du, Qiming Li, Nan Yang, Shudan Sun, Daozhu Liu, Wenfu State Key Laboratory of Mathematical Engineering and Advanced Computing Zhengzhou China

ISBN: (纸本)9781728180281

As an efficient information filtering tool, the recommendation system can help users obtain valuable information quickly and efficiently while effectively alleviating the information load problem. However, the classic collaborative filtering algorithm has data sparsity problems in practical applications, which affects the accuracy of recommendation. To solve this problem, this paper took movie recommendation as the research object and proposed a hybrid recommendation algorithm named K-GBDT which combined KNN and gradient boosting decision tree. Firstly, it used KNN to obtain the similar information of the target user and item for preliminary prediction. At the same time, it mined users' basic information features and potential features of users and items from the original data. Then, it tried to adopt XGBoost, LightGBM and CatBoost algorithm which were proposed base the idea of gradient boosting decision tree to build regression model. Finally, the target user's rating for the movie was predicted with the trained model, and the recommendation list was generated based on the predicted results. Compared with some classic recommendation algorithms such as NMF, Slope One, Co-Clustering and etc. Based on MovieLens datasets, results show that the mean absolute error and root mean square error of this algorithm are both low, and its recommendation accuracy is higher. © 2021 IEEE.

关键词： Decision trees

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Steganalysis of Adaptive Steganography Under the Known Cover Image 1st

Steganalysis of Adaptive Steganography Under the Known Cover...

引用

1st International Conference on Security and Privacy in Digital Economy, SPDE 2020

作者： Li, Jialin Luo, Xiangyang Zhang, Yi Zhang, Pei Yang, Chunfang Liu, Fenlin State Key Laboratory of Mathematical Engineering and Advanced Computing Zhengzhou China

ISBN: (纸本)9789811591280

Digital image steganography is one of the important ways to achieve covert communication to protect users’ data privacy. Steganalysis technology is the key technology to check the security of steganography, and the extraction of embedded messages is an important challenge for image steganalysis technology. Existing methods are for plain text embedding or only for certain special scenarios, they are not applicable to the extraction under the known cover image. To this end, this paper proposes a method of extracting embedded messages under the condition of the known cover images. First, the STCs encoding process is analyzed using the syndrome trellis. Second, a path in the syndrome trellis can be obtained by using the stego sequence and a certain parity-check matrix. Meanwhile, the embedding process can also be partially simulated using the cover sequence and the parity-check matrix. By comparing whether the paths are consistent, the coding parameters can be quickly filtered to find the correct submatrices and extract the correct embedded messages. This algorithm avoids the second embedding of all possible secret messages, which significantly improves the efficiency of coding parameter recognition. The experimental results show that the proposed method can identify STCs parameters of stego images using HUGO steganography in a short time, so as to realize the extraction of embedded messages. © 2020, Springer Nature Singapore Pte Ltd.

关键词： Steganography

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DSA-NIE: Double Static Attributes Based Node Importance Evaluation of Inter-Domain Routing System 5

DSA-NIE: Double Static Attributes Based Node Importance Eval...

引用

5th IEEE International Conference on Computer and Communications, ICCC 2019

作者： Zhu, Huihu Qiu, Han Zhu, Junhu Wang, Qingxian State Key Laboratory of Mathematical Engineering and Advanced Computing Zhengzhou China

ISBN: (纸本)9781728147437

Assessing the importance of AS nodes is important for the protection of inter-domain routing system security. However, the existing literature on node importance evaluation methods based on static attributes are difficult to accurately characterize nodes. And which based on dynamic attributes have high time complexity. To address these problems, we analyze the relationship between static structural attributes and dynamic attributes after node failure. It is found that the degree can indirectly reflect the impact of the UPDATE packet propagation and the number of routing paths can reflect the impact caused by load redistribution. And then, we build static attribute characterization model of node failure effect. After that an evaluation method DSA-NIE is put forward. Given the two static attributes, DSA-NIE could effectively assessment of the importance of nodes. When compared with SD-KNI algorithm, the time complexity has been reduced to O(lmn). And the experiment result shows that the failure effect of the key nodes assessed by the DSA-NIE is 7.4% higher than the average, and up to 12.9% higher. © 2019 IEEE.

关键词： evaluation Inter-domain Routing System static attribute

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