Wuqiang Shen

China Southern Power Grid (China)

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Lei Cui

China Southern Power Grid (China)

Yechao Wang

China Southern Power Grid (China)

Guiquan Shen

Affiliated Hospital of Guizhou Medical University

Zheheng Liang

China Southern Power Grid (China)

Xiaolu Zhang

University of Science and Technology Beijing

Xiaolu Zhang

China Southern Power Grid (China)

Zhenyue Long

China Southern Power Grid (China)

Shaohua Tang

Beijing Normal University

Xiaolu Zhang

China Southern Power Grid (China)

Jiesheng Zheng

China Southern Power Grid (China)

Cooperative Institutions

Yangtze River Delta Physics Research Center (China)

193

China Southern Power Grid (China)

Chinese Academy of Sciences

University of Chinese Academy of Sciences

Zhejiang University

Peking University

Sun Yat-sen University

Xi'an Jiaotong University

Fudan University

Tsinghua University

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Yudong Wu B Ye Tuo Wang Beibei Zhang Wei Wei

Experimental study on the aerodynamic performance of the bionic rotor blades

Table (database)

10.1109/aiid51893.2021.9456593

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Design of virtual machine Cache side channel attack detection method based on MINE algorithm

Wuqiang Shen Lei Cui Guiquan Shen Xiaolu Zhang

Algorithm design

Cache-oblivious algorithm

10.1109/ictei60496.2023.00070

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Network Information Security Technology and Application Based on SOM-BP Neural Network

2022 IEEE 11th International Conference on Communication Systems and Network Technologies (CSNT) (2024)

Xiaolu Zhang Wuqiang Shen Lei Cui

With the opening up of network system, the number of power companies continues to grow in the securities markets. On the basis of summarizing the previously studied model algorithms and taking into account the special market environment, this paper extracts the most essential core of studies on network information security early-warning and proposes a network information security system for power enterprises by models of information security. Finally, the network information security early-warning and monitoring system is built through BP neural network using the classified five grades of samples. In addition, predictive accuracy of the proposed model algorithm is analyzed by comparison with other model algorithms. The results show that the proposed network information security early-warning system can further classify the relatively optimal ST and non-ST sample data obtained into five grades as the input information of SOM network, namely crisis, severe warning, warning, alert and normal, to finally acquire five grades of sample objects.

Sample (material)

Early warning system

10.1109/csnt60213.2024.10545828

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Design of Information System Vulnerability Governance Platform Based on Distributed Asset Acquisition and Vulnerability Verification Radar

Journal of Physics Conference Series (2019)

Guiquan Shen Jiangang Lü Wuqiang Shen Jing‐Zhi Huang Weiyan Ji

There are a large number of information vulnerabilities in enterprise information systems. Many hackers use vulnerabilities to obtain enterprise or personal information, which greatly jeopardizes enterprise information security. This paper proposes a design method of integrated information system vulnerability governance platform based on distributed asset acquisition and vulnerability verification radar, discusses the business flow and architecture of the vulnerability governance platform, the logical relationship between modules, business function modules, and the technical framework for building platforms.

Vulnerability

Information governance

Vulnerability management

Business information

Information flow

10.1088/1742-6596/1187/3/032106

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Research on fine-grained image description generation method based on deep learning

2022 IEEE 4th International Conference on Civil Aviation Safety and Information Technology (ICCASIT) (2024)

Yechao Wang Wuqiang Shen Chaosheng Yao Xiaosong Su

10.1109/iccasit62299.2024.10828095

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Simulation of Network Security Situation Prediction Model Based on Multi-Objective ant Colony Optimization Algorithm

Xiaolu Zhang Wuqiang Shen Lei Cui

On a global scale, incidents of internet intrusion and information theft have occurred from time to time, and even a large area of network paralysis is not rare. NSSP (Network Security Situation Prediction) is to find the threats and risks existing in the network in the future by using certain forecasting methods, so that network managers can effectively protect the network in advance. In this paper, NSSP model simulation based on multi-objective ACO (Ant colony optimization) algorithm is studied. In this paper, the NSSP model based on multi-objective ACO algorithm is adopted, that is, quantum theory is introduced on the basis of ACO, and quantum computing is integrated with ant colony to solve multi-objective problems. The simulation results show that the prediction results of NSSP model based on multi-objective ACO are MAE =0.02547 and MAPE =6.73254%, and the prediction effect is obviously improved compared with that of ordinary prediction model. The NSSP model based on multi-objective ACO proposed in this paper has accurate prediction ability.

10.1109/icdacai59742.2023.00049

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Application of Software Testing Technology in Security and Protection of Power System

Advances in intelligent systems and computing (2020)

Jijun Zeng Chunsong Yang Wuqiang Shen Jinbo Zhang

Informatization

10.1007/978-981-33-4572-0_162

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Abnormal Intrusion Perception Technology for Power Data Transmission Network Based on Data Mining

Xiaolu Zhang Wuqiang Shen Lei Cui

Power network

10.1109/eiect64462.2024.10866953

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Evaluation and Prediction of Power Information Network Security Situation Based on Data Fusion

X.D. Zhang Lei Cui Wuqiang Shen

Sensor Fusion

Information fusion

10.1145/3673277.3673294

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TOT, a Fast Multivariate Public Key Cryptosystem with Basic Secure Trapdoor.

IACR Cryptology ePrint Archive (2013)

Wuqiang Shen Shaohua Tang

In this paper, we design a novel one-way trapdoor function, and then propose a new multivariate public key cryptosystem called TOT, which can be used for encryption, signature and authentication. Through analysis, we declare that TOT is secure, because it can resist current known algebraic attacks if its parameters are properly chosen. Some practical implementations for TOT are also given, and whose security level is at least 2. The comparison shows that TOT is more secure than HFE, HFEv and Quartz (when n ≥ 81 and DHFE ≥ 129, HFE is still secure), and it can reach almost the same speed of computing the secret map by C∗ and Sflash (even though C∗ was broken, its high speed has been affirmed).

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