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International Conference on Communication Software and networks, ICCSN

作者： Zefang Bai Guijuan Wang Meijie Ma School of Mathematics and Statistics Qilu University of Technology (Shandong Academy of Sciences) Jinan China Key Laboratory of Computing Power Network and Information Security Ministry of Education Shandong Computer Science Center Qilu University of Technology (Shandong Academy of Sciences) Jinan China Shandong Provincial Key Laboratory of Industrial Network and Information System Security Shandong Fundamental Research Center for Computer Science Jinan China

ISBN: (数字)9798331506322

ISBN: (纸本)9798331506339

Evaluating the reliability of interconnection networks is crucial. The edge-connectivity is a parameter used to assess reliability. In this paper, we discuss a conditional edge-connectivity called the h-extra g-component edge-connectivity. It combines the extra edge-connectivity and the component edge-connectivity. First, this paper proved that $c \lambda_{3}^{h}\left(Q_{n}^{3}\right)=4 n h-$ $4 e_{h}\left(Q_{n}^{3}\right)-h$ for $1 \leq h \leq \frac{1}{2} \cdot 3^{\left\lceil\frac{h}{2}\right\rceil}, n \geq 3$. Then, the paper given the upper bound of h-extra g-component edge-connectivity of the 3 -ary n-cubes for $g \in\left\{4,3^{c}+1\right\}, 1 \leq c \leq\left\lceil\frac{n}{2}\right\rceil-1, n \geq 3$.

关键词： Upper bound Multiprocessor interconnection Software Reliability

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Research on power grid topology data management technology for multi-Temporality 7

Research on power grid topology data management technology f...

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7th International Conference on Mechatronics and Intelligent Robotics, ICMIR 2023

作者： Pan, Sen Zhou, Aihua Jiang, Jing Qiu, Hongbin Qiao, Junfeng Huang, Xingde State Grid Smart Grid Research Institute Co. LTD Nanjing Jiangsu210003 China State Grid Key Laboratory of Information & Network Security Nanjing210003 China State Grid Shanghai Municipal Electric Power Company Shanghai200025 China

ISBN: (数字)9781510668089

ISBN: (纸本)9781510668072

Aiming at the typical characteristics of constant changes in the power grid topology caused by multiple factors such as large-scale access of distributed power supply and diversified loads, this paper analyzes the shortcomings of existing power grid topology data management methods in temporal management of topology data, designs a power grid topology data model integrating time dimension based on big data and graph computing technology, and establishes a multi-temporal power network topology data management method. This method realizes the importing, processing, storage and reading of multi-Temporal power grid topology, which provides a new solution for the power grid topology data management with multi-Temporal version attribute, and also provides a powerful data support for the subsequent analysis and application of multi-Temporal power grid topology data. © 2023 SPIE. All rights reserved.

关键词： information management

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Research on Mass Image Data Storage Method for Data Center 4th

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4th International Conference on 3D Imaging Technologies- Multidimensional Signal Processing and Deep Learning, 3D IT-MSP and DL 2022

作者： Pan, Sen Jiang, Jing Qiu, Hongbin Qiao, Junfeng Xu, Menghan State Grid Smart Grid Research Institute Co. Ltd. Nanjing Jiangsu210003 China State Grid Key Laboratory of Information and Network Security Nanjing210003 China State Grid Jiangsu Electric Power Co. Ltd. Information and Telecommunication Branch Nanjing China

ISBN: (纸本)9789819912292

With the advancement of technology and the development of the electric power business, power enterprises have generated a large amount of image data, which contains rich potential information, and it is urgent to store massive-scale image data for further mining and analysis. Starting from the storage requirements of power grid image data, this paper expounds on the drawbacks of direct storage of small files according to the characteristics of power grid image files. Then, the architecture design and function design of the grid image small file storage are carried out, and the function implementation is carried out. Finally, the grid image small file storage method based on the SequenceFile file format is briefly summarized. © 2023, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

关键词： Digital storage

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CGNet: Classification-Guided Multi-Task Interactive network for Hyperspectral and Multispectral Image Fusion

CGNet: Classification-Guided Multi-Task Interactive Network ...

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International Conference on Acoustics, Speech, and Signal Processing (ICASSP)

作者： Guohua Lv Yanlong Xu Yongbiao Gao Guixin Zhao Guotao Wang Xiangcheng Sun Key Laboratory of Computing Power Network and Information Security Ministry of Education Shandong Computer Science Center (National Supercomputer Center in Jinan) Qilu University of Technology (Shandong Academy of Sciences) China Shandong Provincial Key Laboratory of Computing Power Internet and Service Computing Shandong Fundamental Research Center for Computer Science China Shandong Key Laboratory of Ubiquitous Intelligent Computing China Key Laboratory of New Generation Artificial Intelligence Technology and Its Interdisciplinary Application (Southeast University) Ministry of Education China Beihang University Beijing China

ISBN: (数字)9798350368741

ISBN: (纸本)9798350368758

The goal of fusing hyperspectral images (HSI) and multispectral images (MSI) is to generate high-resolution hyperspectral images for downstream tasks. However, most existing methods overlook the specific requirements of these tasks, leading to a gap between the fusion process and its subsequent applications due to insufficient guidance from downstream tasks. To address this issue, we propose a classification-guided multitask interactive network (CGNet) that integrates both fusion and classification tasks into a unified framework, with two branches producing the fused image and classification results, respectively. In the fusion branch, we design a multi-level residual refinement module to efficiently integrate spatial and spectral information. Additionally, an attention-based multi-scale fusion module, incorporating both spatial and channel attention, is carefully crafted to enhance representation learning. In the classification branch, both 2-D and 3-D convolutions are employed to improve classification performance. Moreover, an information interaction module is proposed to guide the fusion task based on classification outcomes. Extensive experiments demonstrate that our method outperforms state-of-the-art approaches on the Pavia Centre and Pavia University datasets.

关键词： Representation learning Three-dimensional displays Attention mechanisms Convolution Streaming media Multitasking Speech processing Image fusion information exchange Hyperspectral imaging

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Risk Modeling and Traceability of Boundary Attacks on Internet of power Systems Based on Complex networks 9

Risk Modeling and Traceability of Boundary Attacks on Intern...

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9th IEEE International Conference on Data Science in Cyberspace, DSC 2024

作者： Li, Xin Qu, Zhaoyang Yu, Tong Xie, Ming Yu, Fu Ding, Wei Northeast Electric Power University School of Electrical Engineering Jilin132012 China People's Bank of China Qinghai Provincial Branch Xining810000 China China Southern Power Grid Guangxi Power Grid Co. Ltd. Research Institute Nanning530023 China China Guizhou Power Grid Co. Ltd. Bijie Power Supply Bureau Bijie551700 China Qilu University of Technology Shandong Academy of Sciences Key Laboratory of Computing Power Network and Information Security Ministry of Education Shandong Computer Science Center National Supercomputer Center in Jinan Jinan250014 China Shandong Fundamental Research Center for Computer Science Shandong Provincial Key Laboratory of Computer Networks Jinan250014 China

ISBN: (纸本)9798350391367

With the increasing intelligence of power IoT terminal devices, the massive volume of data transmission, and the widespread adoption of shared services, traditional terminal boundary security mechanisms are unable to keep up with the rapid development of network technologies and applications. Additionally, they fail to trace and source network attacks, leading to frequent organized and purposeful malicious attack incidents. To address these issues, this paper proposes a research method for risk modeling and traceability of boundary attacks on power IoT terminals based on complex networks. First, based on the node information of power IoT terminal devices and complex network theory, a terminal boundary attack network (TBAN) is established. Next, using indicators related to complex network theory, such as degree, in-degree, and out-degree, the terminal boundary attack network is analyzed. Furthermore, a staged TBAN is proposed to analyze the attack risks at different times. Then, combining causal theory, a method for tracing and sourcing terminal boundary attacks based on a causal Bayesian network is proposed to identify and trace malicious attacks. Finally, validation and testing analysis are conducted using the actual deployment of power IoT terminal devices. The proposed analysis method transforms the spatial characteristics of the power IoT terminal boundary into a temporally sequential TBAN, which not only visually reflects attack risks but also reveals the temporal relationships of terminal boundary attacks between lines. © 2024 IEEE.

关键词： Internet of things

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$k$k-TEVS: A $ k$k-Times E-Voting Scheme on Blockchain With Supervision

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IEEE Transactions on Dependable and Secure computing 2024年第3期22卷 2326-2337页

作者： Yang Liu Debiao He Min Luo Lianhai Wang Cong Peng School of Cyber Science and Engineering Wuhan University Wuhan China Institute of Information Technology Shenzhen Institute of Information Technology Shenzhen China Key Laboratory of Computing Power Network and Information Security Ministry of Education Shandong Computer Science Center Qilu University of Technology (Shandong Academy of Sciences) Jinan China Shanghai Technology Innovation Centre of Distributed Privacy-Preserving Artificial Intelligence Matrix Elements Technologies Shanghai China Shandong Provincial Key Laboratory of Industrial Network and Information System Security Shandong Fundamental Research Center for Computer Science Jinan China

The e-vote is regarded as a way to express the opinion that the voters ask for. Actually, the e-vote could be applied wildly like questionnaire, survey and feedback. Moreover, the coexistences of efficiency and security as well as transparency and privacy could be considered as building blocks in the e-vote system. The blockchain could provide a public access board to reduce the storage costs for the field consisted of the vote group manager (GM) with its vote assistants (VA). Particularly the $k$ -times anonymous authentication ( $k$ -TAA) could also be a practical approach to preserve voters’ privacy and reduce the computation costs during the vote process. However, the e-vote scheme with pure $k$ -TAA strategy could damage either the supervision of voting or the efficiency and consistency of authentication process. What’s more, the impacts of dishonest voters couldn’t be stopped until the vote end. To tackle these problems, we apply the accumulator technology to add or revoke the voters at any time and extend the framework of $k$ -TAA with the update process for the e-vote on blockchain for supervision ( $ k$ -TEVS). In our scheme, the voter updates his membership witness and proves the fact that he is still a valid member with respective VA under the latest accumulator value. What’s more, this witness update operation is not contained in the authentication process, which means that the authentication process is still constant and efficient. Moreover, our add or delete update process with signature of knowledge needs only one pairing operation. For the security, we prove that the relaxed anonymity still holds in the $ k$ -TEVS framework. Finally, We implement $ k$ -TEVS scheme, the Emura’s work [1] and the Huang’s work [2] for comparison. Then we make time cost and communication cost experiments, which present the feasibility and practicality of this scheme.

关键词： Blockchains Authentication Costs Protocols security Privacy Surveys Electronic voting Computer science information security

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TSF-Net:Abnormal Video Behavior Detection Framework Based on Two-Stream Appearance Motion Semantic Fusion 23

TSF-Net:Abnormal Video Behavior Detection Framework Based on...

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Proceedings of the 2023 International Conference on information Education and Artificial Intelligence

作者： Bonan Li Rui Cao Xingang Wang Hong Zhang Jinyan Zhou China Radio and Television Shandong Network Co Ltd China Key Laboratory of Computing Power Network and Information Security Ministry of Education Shandong Computer Science Center (National Supercomputer Center in Jinan) Qilu University of Technology (Shandong Academy of Sciences) China

ISBN: (纸本)9798400716157

Video anomalous behavior detection aims to detect rare and random anomalous events, which usually deviate from expectations. Existing detection methods do not consider the appearance semantics and motion semantics of the events in conjunction, so they lead to poor detection results. Since the appearance semantics and motion semantics of normal events are highly consistent and correspond, while the semantic consistency of abnormal events is low. Based on this, this paper proposes a two-stream fusion hybrid network for abnormal behavior detection. The appearance semantics and motion semantics of events are recorded separately using a multi-scale fused self-encoder to generate corresponding reconstructed appearance frames and reconstructed motion frames. Afterwards, the two frames are fused to generate the final prediction frame. We introduce temporal attention to enhance the model's ability to represent motion semantics and capture normal behavior with effective regular motion. Experiments on three standard public datasets show that the method proposed in this paper can accurately detect anomalous events with a performance comparable to state-of-the-art methods.

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Lightweight fuzzy testing method based on stake points of power control system

Lightweight fuzzy testing method based on stake points of po...

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International Conference on Computer Engineering and Applications (ICCEA)

作者： Yiwei Yang Binyuan Yan Chao Hong Lipeng Wei Zhihong Liang Yun Fu Lin Chen Jiaye Tao China Southern Power Grid Guangdong Provincial Key Laboratory of Power System Network Security Electric Power Research Institute Guangzhou China Information Centre of Guizhou Power Grid Co. Guiyang China

ISBN: (数字)9798350386776

ISBN: (纸本)9798350386783

Cyber threats are extremely frequent, and fuzz testing is an effective method to discover vulnerabilities. Regarding the optimization of fuzz testing cost, firstly, the cost distribution of each module during the fuzz testing process was studied. Then, based on the problems of damaged coverage information and excessive additional overhead in existing lightweight fuzz testing methods, a lightweight fuzz testing method based on stubs is proposed, which can be flexibly implemented while retaining fine-grained coverage information. The cancellation and recovery of stub points effectively reduces the execution overhead of fuzz testing. Finally, this method accepts the protocol program of the power system, effectively reducing the execution overhead of fuzz testing.

关键词： Costs Codes Protocols power control Life estimation Fuzzing power systems

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Switched Event-Triggering Secondary Frequency Control of power Systems Considering Wind and Solar Stochastics Under Denial of Service Attack

Switched Event-Triggering Secondary Frequency Control of Pow...

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IEEE PES Asia-Pacific power and Energy Engineering Conference (APPEEC)

作者： Chao Hong Yun Fu Lin Chen Jiaye Tao Zhihong Liang Lipeng Wei Yiwei Yang Qiucheng Ban Shutan Wu China Southern Power Grid Guangdong Provincial Key Laboratory of Power System Network Security Electric Power Research Institute Guangdong China Information Centre of Guizhou Power Grid Co. Guizhou China

ISBN: (数字)9798350386127

ISBN: (纸本)9798350386134

This paper addresses the stochastic nature of wind and photovoltaic power generation, along with the increasing threat of denial of service (DoS) attacks on power systems. To counteract the growing incidence of DoS attacks, we propose a switch-like event triggering mechanism (SLETM) aimed at reducing their impact on data transfer processes. Additionally, we establish a stability criterion utilizing linear matrix inequality (LMI) to ensure the power system's stability and to ascertain the final parameters of a dynamic output feedback (DOF) controller. The proposed methods are then implemented in two interconnected power system regions. Simulation results indicate that incorporating SLETM and DOF controls enhances the stability of load frequency control (LFC) within the power system.

关键词： Resistance Photovoltaic systems Simulation Stability criteria power system dynamics Switches power system stability Wind power generation Frequency control Output feedback

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Enhancing power System Stability Against DoS Attacks Through Hardware-in-the-Loop Simulation

Enhancing Power System Stability Against DoS Attacks Through...

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IEEE PES Asia-Pacific power and Energy Engineering Conference (APPEEC)

作者： Jiaye Tao Zhihong Liang Lipeng Wei Chao Hong Yun Fu Yiwei Yang Zeyuan Zhou Lin Chen Information Centre of Guizhou Power Grid Co. Guizhou China Guangdong Provincial Key Laboratory of Power System Network Security Electric Power Research Institute China Southern Power Grid Guangzhou China

ISBN: (数字)9798350386127

ISBN: (纸本)9798350386134

This study explores the stability and security of power systems in the face of Denial of Service (DoS) attacks through Hardware-in-the-Loop (HiL) simulation technology. As the application of Distributed Energy Resources (DER) and smart devices becomes more widespread, power systems have evolved from traditional physical networks to complex Cyber-Physical Systems (CPS). While this transformation has enhanced system efficiency and flexibility, it has also made power systems more susceptible to cyberattacks, especially concerning the security of critical infrastructure. This study establishes a CPS test platform incorporating real hardware, compares the response and recovery capabilities of centralized versus distributed control architectures under DoS attacks, and assesses in real time the direct impact of cyberattacks on the physical operation of power systems. Through these simulations, the study aims to reveal the strengths and limitations of different control architectures, providing a scientific basis for enhancing the security and stability of power systems.

关键词： Fault tolerance Technological innovation Hardware-in-the-loop simulation Decentralized control power system stability Cyber-physical systems Stability analysis Distributed power generation Computer crime Testing

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