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A BOW-Based Sentence Embedding Method for Chinese Event Identification 4

A BOW-Based Sentence Embedding Method for Chinese Event Iden...

引用

2019 4th International Seminar on Computer Technology, Mechanical and Electrical engineering, ISCME 2019

作者： Gao, Lizheng Zhou, Gang Luo, Junyong State Key of Laboratory of Mathematical Engineering and Advanced Computing Zhengzhou China

Event extraction is an important branch of information extraction. It involves two challenging issues: event identification and argument identification. Most approaches of event identification are trigger-based, which suffer a lot from sample imbalance, word ambiguity, low scalability, etc. To solve these problems, we attempt to explore sentence-based event identification, whose main issue is sentence representation. With the success of word embedding, it has attracted much attention to generate semantic embeddings of sentences. In this paper, we propose a simple BOW-based sentence embedding method to represent event sentences for Chinese event identification. We compute embeddings on the dependency tree and map different relations to simple arithmetic operations. We evaluate our method with a dataset of Chinese event identification and compare the result with other BOW-based methods. The results show that our approach significantly outperforms other BOW-based methods. © Published under licence by IOP Publishing Ltd.

关键词： Embeddings

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Practical Control Flow Integrity using Multi-Variant execution 20

Practical Control Flow Integrity using Multi-Variant executi...

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2020 International Conference on Internet computing for Science and engineering, ICICSE 2020 and the 13th International Conference on advanced Computer Theory and engineering, ICACTE 2020

作者： Yao, Dong Zhang, Zheng Zhang, Gaofei State Key Laboratory of Mathematical Engineering and Advanced Computing Zhengzhou China

ISBN: (纸本)9781450377348

The popularity of computers and networks brings many conveniences to our daily life but also brings a variety of security threats. The proliferation of attacks and the rapid spread of viruses make security researchers gradually shift their perspective from passive defense to active defense. Among many active defenses, the technique of software multi-variant execution (MVX) framework has been widely concerned. It can detect and defend most known or even 0-day attacks without depending on the feature of specific threats. However, there is a big performance bottleneck in this technique. Control flow integrity (CFI) is another ideal security solution, but it is not widely used in practice because of performance loss and compatibility problems. In this paper, we propose a multi-variant execution framework called MVX-CFI. MVX-CFI improves execution efficiency without losing its original security. MVX-CFI is a dynamic and transparent CFI implementation based on the MVX framework. It can effectively capture the control flow of the target software and find illegal path transfer caused by malicious acts such as attacks. MVX-CFI extends the general MVX with a feedback assisted-detection module, which reduces a lot of repetitive voting work of traditional MVX and improves the performance. It also provides a probability to detect preset back door in a software. © 2020 ACM.

关键词： Network security

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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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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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Steganalysis of Adaptive Steganography Under the Known Cover Image 1st

Steganalysis of Adaptive Steganography Under the Known Cover...

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

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

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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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