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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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Dynamic Resampling Based Boosting Random Forest for Network Anomaly Traffic Detection 36th

Dynamic Resampling Based Boosting Random Forest for Network...

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36th International Conference on Industrial, engineering and Other Applications of Applied Intelligent Systems, IEA/AIE 2023

作者： Ren, Huajuan Wang, Ruimin Dong, Weiyu Li, Junhao Tang, Yonghe State Key Laboratory of Mathematical Engineering and Advanced Computing Zhengzhou China

ISBN: (纸本)9783031368219

Network anomaly traffic detection is an important technique for detecting intrusion activities and maintaining cyberspace security. Random forest is widely used in network anomalous traffic detection due to its good detection performance. However, Random Forest suffers from the insufficient ability to handle difficult samples and poor performance in dealing with imbalanced network traffic distribution. To address these two problems, a boosting random forest for network anomaly detection, called BRF, is proposed. The proposed method embeds the random forest model into Boosting training mechanism to enhance its classification ability for difficult samples. In the iterations, Random Forest is provided with relatively balanced and diverse training sets by dynamic resampling to alleviate the traffic imbalance problem. The effectiveness of BRF is demonstrated by multi-classification experiments on the NSL-KDD and UNSW-NB15 datasets. Compared with some shallow machine learning, deep learning, and ensemble learning methods, BRF has advantages in accuracy and time efficiency, which is a promising method for network anomaly detection. © 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.

关键词： Anomaly detection

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Parent-based Powershell Script Fusion Technology

Parent-based Powershell Script Fusion Technology

引用

2021 International Symposium on Computer Technology and Information Science, ISCTIS 2021

作者： Cheng, Sipeng Sha, Zihan Yu, Pu Bu, Wenjuan Huo, Guovu State Key Laboratory of Mathematical Engineering and Advanced Computing Zhengzhou China

ISBN: (纸本)9781665414418

To address the characteristics of traditional obfuscation methods such as single approach and obvious features, a Parent-based Powershell Script Fusion Technology is proposed based on code fusion. This technology uses the target script to undergo slice encryption processing, and in-depth fusion with the parent script in the execution logic and execution flow, and uses the parent script to conceal the behavior characteristics of the target script. A number of Powershell scripts commonly used for infiltration are selected as the test set to test the proposed technique. The test results show that the proposed technique can reduce the detection rate of the antivirus engine for the target script and has a greater advantage in anti-static analysis. © 2021 IEEE.

关键词： Cryptography

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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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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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Prediction Method of Attack Behavior Based on Stackelberg Security Game 5

Prediction Method of Attack Behavior Based on Stackelberg Se...

引用

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

作者： Zhou, Tianyang Ge, Xiaoyue Zang, Yichao Wang, Qingxian State Key Laboratory of Mathematical Engineering and Advanced Computing Zhengzhou China

ISBN: (纸本)9781728147437

The essence of Network attack and Defense confrontation is the Game process between attacker and Defender. In the research of the existing network attack strategy, there is a priori hypothesis defect of equal status between the subjects of the attack and defense game. Threat intelligence cannot be shared between defenders. Game theory is introduced into the process of constructing network defense strategy generation model, and prediction method of attack behavior based on Stackelberg Security Game is proposed. By establishing the network model, the Stackelberg security game strong equilibrium strategy algorithm is used to generate the optimal attack strategy, which not only fully considers the influence of the relationship between the two sides in the attack and defense behavior and shares Information, but also ensures the accuracy of the attack strategy generation. The experimental results show that the proposed model and method are feasible and effective, and can improv the attack effect. © 2019 IEEE.

关键词： Game theory

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

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

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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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The Analysis of HTTPS Privacy Protection Based on Malicious Code Injection 20

The Analysis of HTTPS Privacy Protection Based on Malicious ...

引用

20th IEEE International Conference on Communication Technology, ICCT 2020

作者： Liu, Zeyan Pen, Jianshan State Key Laboratory of Mathematical Engineering and Advanced Computing Zhenzhou China

ISBN: (纸本)9781728181417

HTTPS protocol is utilized to protect personal privacy in network communication by man-in-the-middle attacks. However, after the browser is attacked, this protection mechanism will be destroyed. This paper analyzes the vulnerability of https protocol under two scenarios of operating system and network data transmission. Based on the untrusted situation, the possibility of implementing HTTPS protocol injection and page injection on the browser side was analyzed. A traffic monitoring and detection scheme based on dynamic rules is proposed, which can effectively detect whether the browser is injected with malicious code. False positive is less than 10%. © 2020 IEEE.

关键词： Network coding

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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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