检索结果-内蒙古大学图书馆

Research on Mimic Defence Technology for Smart Unit Application Environment of power Grid

Journal of Physics: Conference Series 2019年第1期1314卷

作者： Zesheng Xi Bo Zhang Xin Sun Xiaojuan Guan Institute of Information and Communication Global Energy Interconnection Research Institute Nanjing Jiangsu China State Grid Key Laboratory of Information & Network Security Nanjing Jiangsu China State Grid Zhejiang Electric Power Research Institute Hangzhou Zhejiang China

Aiming at the problem that the new network attack cannot be effectively defended at present, this paper proposes a framework of application-level mimic defense technology for smart grid units to solve the active attack defense problem of smart terminal units in the source grid environment. In this paper, the application security mimic defense architecture and interactive instruction level heterogeneous redundancy technology for smart grid units are studied to achieve universal and self-immune active immunity against grid application-level attacks. Furthermore, the dynamic change and heterogeneous redundancy characteristics of application level are constructed by mimetic defense technology. The risk and vulnerability of terminal application security vulnerabilities are actively hidden to actively avoid attacks, so as to enhance the active defense capability of industrial control terminal side of power grid.

关键词：

来源：评论

学校读者我要写书评

暂无评论

Research on Electric Micro-Meteorological Monitoring and Early Warning System

引用

Journal of Physics: Conference Series 2020年第1期1449卷

作者： Zehao Zhang Zhen Yu Xiyuan Xu Cheng Guan Song Zhang Global Energy Interconnection Research Institute co. Ltd Research Institute of Information Technology & Communication Beijing 102206 China. State Grid Key Laboratory of Information & Network Security State Grid FuJian Electric Power co. LTD

This paper studies and analyzes the influence of micro-meteorological disasters on power system, points out the main problems in the establishment of power micro-meteorological monitoring and early warning system, puts forward the system architecture of power micro-meteorological monitoring and early warning system, which provides a reference for the establishment of power micro-meteorological monitoring and early warning system.

关键词：

来源：评论

学校读者我要写书评

暂无评论

A Secure Beamforming Design: When Fluid Antenna Meets NOMA

arXiv

引用

arXiv 2024年

作者： Mai, Lifeng Yao, Junteng Tang, Jie Wu, Tuo Wong, Kai-Kit Shin, Hyundong Adachi, Fumiyuki The Electric Power Research Institute China Southern Power Grid Guangzhou510663 China The Guangdong Provincial Key Laboratory of Power System Network Security Guangdong Guangzhou China The Faculty of Electrical Engineering and Computer Science Ningbo University Ningbo315211 China The School of Electronic and Information Engineering South China University of Technology Guangzhou510006 China The School of Electrical and Electronic Engineering Nanyang Technological University 639798 Singapore The Department of Electronic and Electrical Engineering University College London Torrington Place WC1E 7JE United Kingdom The Department of Electronic Engineering Kyung Hee University Gyeonggi-do Yongin-si17104 Korea Republic of Tohoku University Sendai Japan

This letter proposes a secure beamforming design for downlink non-orthogonal multiple access (NOMA) systems utilizing fluid antenna systems (FAS). We consider a setup where a base station (BS) with M fluid antennas (FAs) communicates to a cell-center user (CU) and a cell-edge user (CEU), each with a FA. The CU is the intended recipient while the CEU is regarded as a potential eavesdropper. Our aim is to maximize the achievable secrecy rate by jointly optimizing the secure beamforming vectors and the positions of FAs. To tackle this, we adopt an alternating optimization (AO) algorithm that optimizes secure beamforming and the positions of the FAs iteratively while keeping the other variables fixed. Numerical results illustrate that when FAs meet NOMA, the proposed scheme greatly enhances the secrecy rate compared to conventional multiple-input single-output (MISO) fixed antenna NOMA systems and other benchmark schemes. © 2024, CC BY.

关键词： Beamforming

来源：评论

学校读者我要写书评

暂无评论

MedSteGAN: Medical Embedding-Optimized Steganography with Improved GAN

SSRN

引用

SSRN 2023年

作者： Peng, Yuxiang Fu, Chong Zheng, Yu Tian, Yunjia Cao, Guixing Chen, Junxin School of Computer Science and Engineering Northeastern University Liaoning Shenyang110819 China Engineering Research Center of Security Technology of Complex Network System Ministry of Education China Key Laboratory of Intelligent Computing in Medical Image Ministry of Education Northeastern University Liaoning Shenyang110819 China Department of Information Engineering The Chinese University of Hong Kong Ma Liu Shui Shatin New Territories Hong Kong Institute of Telecommunication Satellite China Academy of Space Technology Beijing100094 China School of Software Dalian University of Technology Liaoning Dalian116621 China

Medical diagnosing systems contain sensitive information, especially the resulting certificate of diagnosis that involves the patient’s privacy, required to be protected carefully. An effective way is to secretly embed privacy-sensitive information into medical-generated images, eventually being viewed as arbitrary images of nobody/nothing in public. The current research line of medical steganography targets simple data-hiding methods, yet remains barren in optimal embedding and stronger robustness. To fill this gap, we propose an end-to-end steganographic framework for medical images. Our idea is to integrate medical-image adaptive steganography with a generative adversarial network (GAN), named MedSteGAN. To improve both robustness, we design an optimized U-shape gen- erator that extracts features more efficiently utilizing larger kernel convolutions and the ReLU6 function. Also, deconvolutions are replaced by upsampling and convolution layers to avoid the checkerboard effect. To enhance security and image quality, we employ visual quality loss and mean squared error (MSE) loss based on the multi-scale structural similarity index metric (MS- SSIM) and the high-pass filters, respectively. Extensive experiments demonstrate that MedSteGAN outperforms state-of-the-art steganographic schemes in terms of robustness and image quality. © 2023, The Authors. All rights reserved.

关键词： Image quality

来源：评论

学校读者我要写书评

暂无评论

G2Face: High-Fidelity Reversible Face Anonymization via Generative and Geometric Priors

arXiv

引用

arXiv 2024年

作者： Yang, Haoxin Xu, Xuemiao Xu, Cheng Zhang, Huaidong Qin, Jing Wang, Yi Heng, Pheng-Ann He, Shengfeng The School of Computer Science and Engineering South China University of Technology Guangzhou China Guangdong Engineering Center for Large Model and GenAI Technology State Key Laboratory of Subtropical Building and Urban Science China The Centre for Smart Health The Hong Kong Polytechnic University Hong Kong The School of Future Technology South China University of Technology Guangzhou China The School of Computer Science and Network Security Dongguan University of Technology Dongguan China The Department of Computer Science and Engineering The Chinese University of Hong Kong Hong Kong The School of Computing and Information Systems Singapore Management University Singapore

Reversible face anonymization, unlike traditional face pixelization, seeks to replace sensitive identity information in facial images with synthesized alternatives, preserving privacy without sacrificing image clarity. Traditional methods, such as encoder-decoder networks, often result in significant loss of facial details due to their limited learning capacity. Additionally, relying on latent manipulation in pre-trained GANs can lead to changes in ID-irrelevant attributes, adversely affecting data utility due to GAN inversion inaccuracies. This paper introduces G2Face, which leverages both generative and geometric priors to enhance identity manipulation, achieving high-quality reversible face anonymization without compromising data utility. We utilize a 3D face model to extract geometric information from the input face, integrating it with a pre-trained GAN-based decoder. This synergy of generative and geometric priors allows the decoder to produce realistic anonymized faces with consistent geometry. Moreover, multi-scale facial features are extracted from the original face and combined with the decoder using our novel identity-aware feature fusion blocks (IFF). This integration enables precise blending of the generated facial patterns with the original ID-irrelevant features, resulting in accurate identity manipulation. Extensive experiments demonstrate that our method outperforms existing state-of-the-art techniques in face anonymization and recovery, while preserving high data utility. Code is available at https://***/Harxis/G2Face. Copyright © 2024, The Authors. All rights reserved.

关键词： Anonymity

来源：评论

学校读者我要写书评

暂无评论

A vulnerability scanning scheme based on attack graph for smart grid industrial control system

引用

IOP Conference Series: Earth and Environmental Science 2021年第1期645卷

作者： Kai Xu Xiangqun Wang Hao Xu Ning Dong Meng Han Xianfei Zhou State Grid Beijing Electric Power Company Beijing 100031 China Global Energy Interconnection Research Institute Co. Ltd Nanjing 210003 China State Grid Key Laboratory of Information & Network Security Nanjing 210003 China

As the core of national development, smart grid industrial control system has extremely high security requirements. However, due to the existence of many security vulnerabilities and lack of effective security protection measures, it is vulnerable to attacks from the Internet. Therefore, the vulnerability scanning of smart grid ICS has important research significance. Aiming at the problem that the smart grid ICS cannot bear the heavy system overhead, a safe and low system overhead vulnerability scanning scheme for smart grid ICS is innovatively proposed. This scheme introduces attack graph technology into vulnerability scanning, proposes vulnerability risk assessment indicators, and flexibly designs the scanning cycle according to the generated attack graph. Simulation results show that this scheme effectively reduces scanning costs while ensuring system security, and is better adapted to smart grid ICS.

关键词：

来源：评论

学校读者我要写书评

暂无评论

Transferring knowledge distillation for multilingual social event detection

arXiv

引用

arXiv 2021年

作者： Ren, Jiaqian Peng, Hao Jiang, Lei Wu, Jia Tong, Yongxin Wang, Lihong Bai, Xu Wang, Bo Yang, Qiang Institute of Information Engineering Chinese Academy of Sciences The School of Cyber Security University of Chinese Academy of Sciences Beijing100041 China Beijing Advanced Innovation Center for Big Data and Brain Computing Beihang University Beijing100083 China The School of Cyber Science and Technology Beihang University Beijing100083 China Institute of Information Engineering Chinese Academy of Sciences Beijing100041 China The Department of Computing Macquarie University Sydney Australia The State Key Laboratory of Software Development Environment The School of Computer Science and Engineering Beihang University Beijing100083 China The National Computer Network Emergency Response Technical Team Coordination Center of China Beijing100029 China The Department of Computer Science and Engineering Hong Kong University of Science and Technology Hong Kong AI Group WeBank Co. Ltd. China

Recently published graph neural networks (GNNs) show promising performance at social event detection tasks. However, most studies are oriented toward monolingual data in languages with abundant training samples. This has left the more common multilingual settings and lesser-spoken languages relatively unexplored. Thus, we present a GNN that incorporates cross-lingual word embeddings for detecting events in multilingual data streams. The first exploit is to make the GNN work with multilingual data. For this, we outline a construction strategy that aligns messages in different languages at both the node and semantic levels. Relationships between messages are established by merging entities that are the same but are referred to in different languages. Non-English message representations are converted into English semantic space via the cross-lingual word embeddings. The resulting message graph is then uniformly encoded by a GNN model. In special cases where a lesser-spoken language needs to be detected, a novel cross-lingual knowledge distillation framework, called CLKD, exploits prior knowledge learned from similar threads in English to make up for the paucity of annotated data. Experiments on both synthetic and real-world datasets show the framework to be highly effective at detection in both multilingual data and in languages where training samples are scarce. © 2021, CC BY.

关键词： Embeddings

来源：评论

学校读者我要写书评

暂无评论

Research on Intelligent Monitoring and Maintenance Technology of Substation Based on Digital Twin

引用

Journal of Physics: Conference Series 2021年第1期2136卷

作者： He Wang Peng Lin Zhansheng Hou Shijun Sun Global Energy Interconnection Research Institute Nanjing Jiangsu 210003 China State Grid Key Laboratory of Information & Network Security Nanjing 210003 China State Grid ZheJiang Electric Power Co. LTD Zhejiang Hangzhou 310000 China

The design, research and development, test, operation and maintenance of power grid substation equipment are relatively independent. Related problems in each link cannot be comprehensively managed from the perspective of the full life cycle of equipment. Operation and maintenance personnel need to face data monitoring, network monitoring, equipment monitoring, business system monitoring, fault diagnosis and repair and other business scenarios. There are many types of information, complex association relationship, abstract and inefficient operation and maintenance information, "man-machine-object" can not be two-way cooperation and interaction, fault diagnosis and troubleshooting difficulties. Digital substation intelligent monitoring operational digital twin applications, digital intelligent substation operations provide operational monitoring service ability, realize the grid digital substation twin modeling and environment reconstruction, false or true merged superposition, two-way coordinated interaction, twin intelligence operations and panoramic visual monitoring, field devices for power grid operation maintenance, resource scheduling, and construction planning to provide guidance, Fully guarantee the safe and reliable operation of power grid equipment, realize the full life cycle management of power grid equipment, and improve the level of intelligence, visualization and digitalization of power grid.

关键词：

来源：评论

学校读者我要写书评

暂无评论

Multi-keyword Cipher-text Retrieval Method for Smart Grid Edge computing

引用

Journal of Physics: Conference Series 2021年第1期1754卷

作者： Jing Zhu Tao Wu Jintao Li Yanbin Liu Qixin Jiang School of Communication and Information Engineering Chongqing University of Posts and Telecommunications China School of Cybersecurity and Information Law Chongqing University of Posts and Telecommunications Chongqing China School of Computer Science Chongqing University of Posts and Telecommunications Chongqing China Guangdong Provincial Key Laboratory of Power System Network Security Guangzhou China Electric Power Institute CSG Guangzhou China

With the continuous deepening of China's power grid intelligent upgrading and the rise of edge computing technology, power grid terminals can carry out data storage and intelligent calculation at the edge of the power grid. However, the generated data by users may cause the leakage of user privacy information. The power grid edge system can retrieve the user's electricity data on demand, so as to improve the level of privacy protection and reduce the demand of transmission and computing resources through the localized storage of data. Therefore, how to carry out privacy protection and on-demand retrieval is a key problem to realize the intelligent power grid edge. In this paper, a multi-keyword cipher-text retrieval scheme (MCR- SGEC) for smart grid edge computing is proposed, which can achieve accurate matching of index and trap door, and has low spatial complexity. At the same time, on this basis, a multi-keyword fuzzy cipher-text retrieval method for smart grid edge computing (MFSE-SGEC) is proposed, which allows users to have spelling errors, which makes the user experience better.

关键词：

来源：评论

学校读者我要写书评

暂无评论

Risk Assessment of power Monitoring System Based on Fuzzy Analytical Hierarchy Process

引用

Journal of Physics: Conference Series 2021年第1期2137卷

作者： Huifeng Li Tiecheng Li Qigui Yao Weixun Li Libo Yang Guanghui Sun State Grid Hebei Electric Power Research Institute Shijiazhuang Hebei China Global Energy Interconnection Research Institute Co. Ltd Nanjing Jiangsu China State Grid Key Laboratory of Information & Network Security Nanjing Jiangsu China State Grid Hebei Electric Power Co.Ltd Shijiazhuang Hebei China

The security threat of power monitoring system is increasing, it is valuable to carry out effective risk assessment, which helps to find the security threats of the system in time, then carry out security management and avoid disasters. This paper presents a risk assessment method of power monitoring system based on Fuzzy Analytic Hierarchy Process (FAHP) and CVSS. Firstly, Considering the structure and security requirements of power monitoring system, the analytic hierarchy process (AHP) model is established, and CVSS is used to quantify the evaluation indicators. Then, the fuzzy consistent judgment matrix is constructed by using the results of index quantification by using AHP and fuzzy comprehensive evaluation theory, and the power monitoring system is comprehensively evaluated from the bottom to the top. Finally, the risk evaluation value and safety level of the system are obtained. The example shows that the method can effectively overcome the difficulty of AHP in checking the consistency of judgment matrix, and can effectively quantify the system risk, and provide reference and basis for risk management decision-making of power monitoring system.

关键词：

来源：评论

学校读者我要写书评

暂无评论

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案：

请选择收藏分类：

通借通还

建议与咨询 留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案： 新增检索档案 确定 取消

请选择收藏分类： 新增自定义分类 确定 取消

通借通还

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

请选择保存的检索档案：

请选择收藏分类：