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Recommendation of cyber attack method based on knowledge graph

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

引用

2020 International Conference on Computer engineering and Intelligent Control, ICCEIC 2020

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

ISBN: (纸本)9781728185736

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. © 2020 IEEE.

关键词： Knowledge graph

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Research on Cascading Failures of Power Grid

Research on Cascading Failures of Power Grid

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作者： Hongmin WANG Qiang WEI Yaobin XIE State Key Laboratory of Mathematical Engineering and Advanced Computing

The safe and stable operation of power system is related to the national economy and people's livelihood of the whole *** are almost always caused by cascading *** paper first analyzes the global blackouts in the past 20 years,and points out that the scale and probability distribution of blackouts obey the power-law ***,it is concluded that transmission line fault,bus fault,large-scale power flow transfer and relay protection device misoperation are the main factors causing cascading ***,the five stages of cascading failure evolution are analyzed,which are slow successive interruption process,fast successive interruption process,transient oscillation,avalanche blackout and long ***,the research results of cascading failure at home and abroad in recent years are analyzed from three research points:small world network,topological network and two-layer coupling network.

关键词： Cascading failure Cyber-physical system Small world network Two-layer coupling network

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Dynamic Array Double-Access Attack in Ethereum 6

Dynamic Array Double-Access Attack in Ethereum

引用

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

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

ISBN: (纸本)9781728186351

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. © 2020 IEEE.

关键词： Blockchain

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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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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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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 on Performance Optimization for Sparse Matrix-Vector Multiplication in Multi/Many-core Architecture 2

Research on Performance Optimization for Sparse Matrix-Vecto...

引用

2nd International Conference on Information Technology and Computer Application, ITCA 2020

作者： Wang, Qihan Li, Mingliang Pang, Jianming Zhu, Di State Key Laboratory of Mathematical Engineering and Advanced Computing zhengzhou China

ISBN: (纸本)9780738111414

Sparse matrix vector multiplication is an important and commonly used computing kernel in scientific computing. Irregular arrangement of non zeros in sparse matrix leads to irregular memory access pattern, which in turn affects the running speed. In the past ten years, there have been many optimization methods of sparse matrix vector multiplication based on different ideas and techniques. In this paper, the commonly used performance optimization techniques of sparse matrix vector multiplication in multi/many-core architecture are comprehensively investigated. We classify technical methods according to their common characteristics, and discuss the problems encountered by researchers of various methods. In addition, We provide a typical large sparse matrix set for testing. This paper also provides a theoretical basis for our subsequent sparse matrix calculation in Sunway TaihuLight archiecture. © 2020 IEEE.

关键词： Memory architecture

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Malware analysis platform based on software gene for cyberspace security practice teaching 2

Malware analysis platform based on software gene for cybersp...

引用

2nd International Conference on Computer Science and Educational Informatization, CSEI 2020

作者： Liu, Fudong Zhang, Ping Hou, Yifan Wang, Lixin Shan, Zheng Wang, Junchao State Key Laboratory of Mathematical Engineering and Advanced Computing Zhengzhou China

ISBN: (数字)9781728170084

ISBN: (纸本)9781728170077

In recent years, a large number of malware has spread indiscriminately, which causes various significant cyberspace security incidents all over the world. Therefore, malware detection has become one of the important research topics in cyberspace security. At present, however, the practical teaching for malware detection mainly focuses on delivering the theory and skills, and actual combat training is relatively weak. As a novel method for malware recognition and analysis, software gene technology can quickly explore potential functional and behavioral information of malware, and detect unknown malware. Hence, building an experimental platform for malware gene analysis can effectively reduce the time required for students to quickly carry out the actual analysis process, support student needs for comprehensive data analysis, and provide a unified public service infrastructure for classroom teaching, practical training and scientific research. © 2020 IEEE.

关键词： Genes

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Improving multi-view document clustering: leveraging multi-structure processor and hybrid ensemble clustering module 30

Improving multi-view document clustering: leveraging multi-s...

引用

Joint 30th International Conference on Computational Linguistics and 14th International Conference on Language Resources and Evaluation, LREC-COLING 2024

作者： Bai, Ruina Bai, Qi Huang, Ruizhang Chen, Yanping Qin, Yongbin Text Computing & Cognitive Intelligence Engineering Research Center National Education Ministry College of Computer Science and Technology Guizhou University Guiyang550025 China State Key Laboratory of Public Big Data Guizhou University Guiyang550025 China School of Mathematical Sciences Zhejiang University Hangzhou310058 China

ISBN: (纸本)9782493814104

We introduce a multi-view document clustering model called DMsECN (Deep Multi-structure Ensemble Clustering Network), comprising a multi-structure processor and a hybrid ensemble clustering module. Unlike existing models, DMsECN distinguishes itself by creating a consensus structure from multiple clustering structures. The multi-structure processor comprises two stages, each contributing to the extraction of clustering structures that preserve both consistency and complementarity across multiple views. Representation learning extracts both view and view-fused representations from multi-views through the use of contrastive learning. Subsequently, multi-structure learning employs distinct view clustering guidance to generate the corresponding clustering structures. The hybrid ensemble clustering module merges two ensemble methods to amalgamate multiple structures, producing a consensus structure that guarantees both the separability and compactness of clusters within the clustering results. The attention-based ensemble primarily concentrates on learning the contribution weights of diverse clustering structures, while the similarity-based ensemble employs cluster assignment similarity and cluster classification dissimilarity to guide the refinement of the consensus structure. Experimental results demonstrate that DMsECN outperforms other models, achieving new state-of-the-art results on four multi-view document clustering datasets. © 2024 ELRA Language Resource Association: CC BY-NC 4.0.

关键词： Structure (composition)

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Memory Error Detection Based on Dynamic Binary Translation 20

Memory Error Detection Based on Dynamic Binary Translation

引用

20th IEEE International Conference on Communication Technology, ICCT 2020

作者： Xu, Hang Ren, Wei Liu, Zimian Chen, Jiajun Zhu, Junhu State Key Laboratory of Mathematical Engineering and Advanced Computing Zhengzhou China

ISBN: (纸本)9781728181417

Dynamic memory error detection technology is widely utilized in locating and mitigating memory-corruption vulnerabilities. High false negative in existing technologies impairs the effectiveness of detection, especially when the detector has no source code. We proposed a dynamic memory error detection method based on dynamic binary translation. It realized the detection by combining a call stack tracing method and an IR language level memory error detection method. Experiments show that the detection success rate of this method in the heap and stack memory destruction is more than 80%. © 2020 IEEE.

关键词： Error detection

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