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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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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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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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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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HDBFuzzer-Target-oriented Hybrid Directed Binary Fuzzer 21

HDBFuzzer-Target-oriented Hybrid Directed Binary Fuzzer

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5th International Conference on Computer Science and Application engineering, CSAE 2021

作者： Yu, Yingchao Qin, Xiaojun Gan, Shuitao State Key Laboratory of Mathematical Engineering and Advanced Computing Wuxi China

ISBN: (纸本)9781450389853

In this paper, we propose a target-oriented hybrid directed binary fuzzer (HDBFuzzer) to solve the vulnerability confirmation problem based on binary code similarity comparison. HDBFuzzer combines macro function level direction fuzzing and micro path-constraint directed solving. For some branches with simple or loose constraints, it still uses directed mutation of the directed fuzzing to penetrate while for some really hard-to-penetrate constraints, it resorts to guided concolic execution. At the same time, in order to improve the efficiency of constraint solving, we propose a constraint solving method based on "path abstraction", which approximates the solution space by the linear expression and generates effective input utilizing the highly-effective sampling method towards the linear space. Then, under the guidance by the directed greybox fuzzing, HDBFuzzer can generate input that can quickly reach the vulnerable code region and finally crash the program under the test to confirm the vulnerability hidden in the binary program. We evaluate HDBFuzzer against AFLGo-B and QSYM on LAVA-M dataset and ten real-world programs, and the results show that HDBFuzzer is superior to AFLGo-B and QSYM on the bug discovery, bug reproduction and target reaching capabilities.. © 2021 Association for computing Machinery. All rights reserved.

关键词： Software testing

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The optimization algorithm based on vector space model to determine the influence of microblogging text

The optimization algorithm based on vector space model to de...

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作者： Dong, Yu Chen Liu, Yan Luo, Jun Yong Zhang, Jin State Key Laboratory of Mathematical Engineering and Advanced Computing Zhengzhou China

ISBN: (纸本)9783038351399

This article uses the vector space model to express microblogging text in quantity, via the cosine of the angle of text clustering method to calculate the similarity between the text. We can generate alternative microblogging hot cluster by centralized method, by adding the microblogging impact Factor into vector text mold of alternative hotspot clusters. In order to simulate the exclusive advantage of star in the information dissemination process of the real world, we use the alternative hotspot clusters which already weighted the microblogging impact factor to reevaluate its characteristics of vector, to optimize the hot microblogging discovery algorithm and to make the sorting results more in line with the law of information dissemination, finally to give some suggestions and opinions on hot microblogging evaluation method. © (2014) Trans Tech Publications, Switzerland.

关键词： Information dissemination

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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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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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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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