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International Congress on Image and Signal Processing, BioMedical Engineering and Informatics (CISP-BMEI)

作者： Qiuyun Hao FuQiang Wang Peng Zhang XiaoFeng Ma Jianqiang Zhang Wei Zhao 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) 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)9798331507398

ISBN: (纸本)9798331507404

Acoustic information in confidential premise can be leaked through channels such as walls, pipes, doors and windows. Acoustic leakage level needs to be measured through specific indicators. Acoustic leakage evaluation indicator includes subjective evaluation indicator and objective evaluation indicator. The subjective evaluation indicator is a qualitative evaluation of acoustic leakage through subjective auditory perception of human ear, which can directly reflect the degree of acoustic leakage in confidential premise. At present, the objective evaluation indicator is mainly sound transmission loss (STL) to reflect objective degree of acoustic leakage in confidential premise. Therefore, it is relatively singular. Through study of Speech Transmission Index (STI), speech transmission index for public address systems (STIPA), which is a simplified form of FULL STI, is applied to acoustic leakage detection in this paper. STI has been proposed as an objective evaluation indicator and applied to acoustic leakage detection and acoustic information security. In order to confirm the effectiveness of objective evaluation indicator, a large number of related experimental studies have been conducted in the paper. Through experiments, it has been proven that STI can objectively evaluate level of acoustic leakage and level of acoustic information security in confidential premise. STI can better predict level of Chinese clarity under various complex transmission conditions. It provides a reliable basis for speech privacy of confidential premise and evaluation of architectural acoustic, sound reinforcement system and voice communication system.

关键词： Privacy Communication systems information security Ear Signal processing Propagation losses Acoustics Indexes Reliability Informatics

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A Blockchain-Based Hierarchical Dynamic Collaborative Storage Model

A Blockchain-Based Hierarchical Dynamic Collaborative Storag...

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Smart World Congress (SWC), IEEE

作者： Qile Yuan Xiangzhi Liu Yu Wang Yunfeng Dong Haoyu Jia Xiaoming Wu 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) 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)9798331520861

ISBN: (纸本)9798331520878

The pervasive application of blockchain technology has led to a significant increase in data volume, presenting significant challenges to existing storage architectures in environments characterized by large volumes of data and highfrequency transactions. To enhance the scalability of blockchain, this study introduces an innovative framework, Hierarchical Dynamic Storage Management Chain Model, named HDSMC. The model consists of two stages. In the first phase of the model, when multimodal data files are uploaded, LBA techniques are employed to securely eliminate unnecessary redundancy, effectively preventing the storage of duplicate data. In the second phase, further processing is conducted on the generated blocks. This involves analyzing the frequency of block access to compute the variation in block “heat”. Based on the Block Heat (BH), the number of replicas for each block across participating nodes is then determined. Furthermore, the framework implements an adaptive tiering strategy based on data access frequency and its importance, which facilitates the timely migration of data to an appropriate storage level. A simulated Hyperledger Fabric environment was employed to deploy the HDSMC framework and to assess its performance against current storage methodologies. The empirical outcomes indicated that this approach could achieve lower storage expenditures while ensuring high reliability. This research not only presents a novel strategy for blockchain storage management but also suggests potential applications for storage optimization in other big data scenarios.

关键词： Heating systems Time-frequency analysis Sharding Scalability Storage management Redundancy Fabrics Blockchains Reliability Optimization

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SGNet: A Multi-Scale Method for Steel Surface Defect Detection

SGNet: A Multi-Scale Method for Steel Surface Defect Detecti...

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Smart World Congress (SWC), IEEE

作者： Shanshan Liu Xiangzhi Liu Jiazheng Man Bingyang Cao Yunfeng Dong Xiaoming Wu 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) 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)9798331520861

ISBN: (纸本)9798331520878

The large variation in target scales within steel surface defect images often results in low detection accuracy. To address this issue, we have developed a multi-scale defect detection method named SGNet. Initially, we introduced a Self-Guided Bi-Level Routing Transformer (SG-BiFormer) as the backbone network of our model. SG-BiFormer utilizes a self-guided strategy to model global information and dynamically reallocates tokens based on the importance of image regions, increasing token quantity in significant areas to preserve fine-grained details and reducing it in less critical areas. This strategy significantly enhances the accuracy and efficiency of the model in handling multi-scale targets. Subsequently, we incorporated Grouped Separable Convolutions (GSConv) to manage local information of multi-scale features. GSConv automatically adjusts the size and shape of the convolution kernels according to different input features. This design not only improves global information processing capabilities but also ensures sensitive and precise detail capture. Lastly, we employed MPDIoU as the loss function for our model, which optimizes corner positioning to tackle the challenges of regression tasks, substantially improving the accuracy of the model in handling complex defects. Experimental evidence confirms the effectiveness of this method. Our SGNet achieved a 77.1% mAP on the NEU-DET dataset, demonstrating outstanding performance.

关键词： Visualization Accuracy Shape Detectors Transformers Routing Feature extraction Steel Kernel Defect detection

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Infringement Detection and Traceability Scheme Based on Ciphertext Feature Extraction

Infringement Detection and Traceability Scheme Based on Ciph...

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IEEE International Conference on Data Science in Cyberspace (DSC)

作者： Lianhai Wang Xinlei Wang Tianrui Liu Yingxiaochun Wang Qi Li 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) 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)9798350391367

ISBN: (纸本)9798350391374

The rapid growth of healthcare data transactions has fostered win-win developments in healthcare technology innovation and economic benefits. However, the issue of secondary transactions makes data ownership vulnerable to infringement due to the easily replicable nature of the data. As the importance of ownership and privacy increases, more and more users protect the privacy of data through encryption methods, making it impossible for existing methods to make infringement judgments on ciphertext data. To solve this problem, we propose an infringement detection and traceability scheme based on feature extraction of ciphertext data. Firstly, the characteristics of fully homomorphic encryption are utilized to obtain data features in the ciphertext state, and the plaintext state of these features is used as the basis for infringement judgment. Additionally, during the data transaction process, the ownership registration of the sales data is verified through smart contracts to ensure the effective association between the transaction data and the seller’s address. The experimental results show that the scheme can accurately determine infringement while protecting data security and privacy.

关键词： Economics Data privacy Technological innovation Data security Smart contracts Cyberspace Medical services Data science Feature extraction Homomorphic encryption

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SRv6-INT Enabled network Monitoring and Measurement: Toward High-Yield network Observability for Digital Twin 3rd

SRv6-INT Enabled Network Monitoring and Measurement: Toward...

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3rd International Conference on Machine Learning, Cloud computing and Intelligent Mining, MLCCIM 2024

作者： Zhang, Xu Feng, Chuan Han, Pengchao Liu, Wei Gong, Xiaoxue Zhang, Qiupei Guo, Lei School of Communications and Information Engineering Chongqing University of Posts and Telecommunications Chongqing400065 China Institute of Intelligent Communication and Network Security Chongqing University of Posts and Telecommunications Chongqing400065 China Key Laboratory of Big Data Intelligent Computing Chongqing University of Posts and Telecommunications Chongqing400065 China School of Information Engineering Guangdong University of Technology Guangzhou510006 China

ISBN: (纸本)9789819616978

network monitoring and measurement is an important part of realizing the network digital twin. However, it introduces the problem of high cost when obtaining the status data of physical networks. Therefore, to efficiently achieve network observability, we first introduce potential techniques and network scenarios for implementing network measurements. Then, a High-Yield Segment Routing over IPv6 based In-band network Telemetry (HY-SRv6-INT) system is proposed in this paper. In particular, we design the HY-SRv6-INT system architecture. It consists of IPv6 switches implemented by the P4 language and a Software-Defined networking (SDN) controller containing the HY-SRv6-INT application. Next, we experimentally demonstrate a packet-level path-associated network measurement process. In addition, the performance of the HY-SRv6-INT system is also quantitatively evaluated to verify its advantages. Finally, we discuss some research challenges and open issues for future network telemetry. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025.

关键词： Internet protocols

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Research and implementation of grid based on electric distribution network composite evaluation method 6

Research and implementation of grid based on electric distri...

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6th International Conference on Intelligent computing, Communication, and Devices, ICCD 2023

作者： Qiao, Junfeng Yang, Pei Pan, Sen Shen, Xiaofeng Huang, Xingde Huang, Chenhong Gu, Hua State Grid Key Laboratory of Information and Network Security State Grid Smart Grid Research Institute Co.LTD. Jiangsu Nanjing210003 China Qingpu Power Supply Company State Grid Shanghai Electric Power Company Shanghai201799 China

ISBN: (数字)9781510666269

ISBN: (纸本)9781510666252

As an important guide for grid development and a key link of grid construction, distribution network planning should not only adapt to the trend of intelligence and refinement in grid development and construction, but also meet the needs of users for reliable power consumption. The quality of electric distribution planning scheme exerts significant influence on the capacity of electric supply, operation level, economic measures of electric grid. Depending on the background that power supply enterprises vigorously promote the regional grid division of electric distribution at this stage, the regional grid division of electric distribution is comprehensively evaluated by establishing a scientific and effective indicator set of electric consumption management, which has important practical significance in analyzing the associated defects in the operation process of electric grid and determining the effectiveness of electric grid planning. In order to comprehensively and effectively evaluate the remote electric grid indicator set. In this article, considering the five important influencing factors of urban electric grid namely, capacity of electric supply, structure of electric grid, quality of electric supply, standard of device and investment benefit, and establishes a scientific and perfect indicator label orient to the objects and index levels involved in the evaluation and the rationality of electric consumption management. The indicator set of electric consumption management of distribution grid planning with clear hierarchy is proposed, and the definition and calculation method of the indicator are proposed. © COPYRIGHT SPIE. Downloading of the abstract is permitted for personal use only.

关键词： power quality

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Research on optimal scheduling decision method of mobile emergency power supply vehicle under emergency condition

Research on optimal scheduling decision method of mobile eme...

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IEEE Conference on Energy Internet and Energy System Integration (EI2)

作者： Zehao Zhang Jie Feng Cheng Guan Zeyu Liu Yiran Yan Xiyuan Xu State Grid Key Laboratory of Information & Network Security China Electric Power Research Institute Co. Ltd Beijing China

ISBN: (数字)9798331523527

ISBN: (纸本)9798331523534

In the current power grid emergency repair process, there is often a situation in which the mobile emergency power supply vehicles of different power supply units in a region "fight for themselves", resulting in the imbalance and insufficiency of emergency relief resources, which not only wastes valuable emergency resources, but also fails to guarantee the emergency power supply needs of the society. Based on this research, a global mobile emergency power supply vehicle allocation decision model is established to rationally allocate and dispatch limited and precious mobile emergency power supply vehicle resources in the event of power failure caused by disaster weather, and effectively improve the power supply recovery and emergency support ability of distribution network.

关键词： Emergency power supplies Energy Internet Optimal scheduling System integration Distribution networks Maintenance engineering power grids power system reliability Resource management Meteorology

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Memory-guided two-stream spatio-temporal coding network based for video anomaly detection 23

Memory-guided two-stream spatio-temporal coding network base...

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

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

ISBN: (纸本)9798400716157

In the paper, we propose a memory-guided dual-stream spatio-temporal encoder network (MSTAE) based on the U-Net network as the backbone, the spatial stream uses the time displacement module to obtain the spatial features of the video, and the temporal stream is aggregated across frames to obtain the temporal features of the video, meanwhile, the coordinate attention module is introduced to improve the U-Net network and enhance the dynamic entity representation capability. In order to reduce the prediction error, the memory module is used to record the prototype patterns of normal data to reduce the problem of small error between the prediction anomaly and its true value due to the excessive generalisation ability of the deep network. We conducted extensive experiments on three publicly available standard datasets (Ped2, Avenue and ShanghaiTech datasets). The experiments demonstrate that the research model outperforms state-of-the-art methods.

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A research framework for constructing the knowledge database of public security information

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International Journal of Wireless and Mobile computing 2021年第3期21卷 191-197页

作者： Zhong, Han Zhang, Shiqiang Liu, Jianli College of Information Technology and Network Security People’s Public Security University of China Xicheng Beijing China Faculty of Information Technology Beijing University of Technology Beijing China Beijing Key Laboratory of Trusted Computing Beijing China

At present, the public security organs in China have accumulated a great deal of public security data. These data have broad sources, complex structures, large and increasing scales. How to effectively integrate, manage and mine these data has become a new problem faced by all public security organs. This paper proposes a research framework for constructing the knowledge database of public security information. Based on this multi-dimension framework, data features can be effectively extracted and modelled for improving the management and utilisation of public safety data. Copyright © 2021 Inderscience Enterprises Ltd.

关键词： information management

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Research on Static Reverse Analysis Technology for security Detection of power Industrial Control Software 3

Research on Static Reverse Analysis Technology for Security ...

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3rd International Conference on Intelligent power and Systems, ICIPS 2023

作者： Chen, Jinshan Yu, Sihang Xie, Xuanxuan Cheng, Yu Tang, Zhijun Deng, Chaoping Li, June State Grid Fujian Electric Power Research Institute Fujian Fuzhou350000 China Key Laboratory of Aerospace Information Security and Trusted Computing Ministry of Education School of Cyber Science and Engineering Wuhan University Hubei Wuhan430072 China

ISBN: (纸本)9798350328691

In the power industrial control software, defects of software and possible pre-implanted backdoors and malicious codes are important factors that threaten the security of the power industrial control system. The complete and accurate extraction of function call relationship is the basis of software security detection based on function call graph. Therefore, based on analyzing function call sequence of abnormal behavior of electric power industrial control software, a method of software static reverse analysis is proposed. The method identified the function call relationship optimized by the compiler to be a jmp instruction by searching the call/jmp instructions. In order to extract a simplified key function call relationship, a key function list was obtained by performing keyword fuzzy matching. Experiments show that this method can accurately and comprehensively obtain the function call relation, the simplified key function call relationship can improve the efficiency of reverse analysis and provide a better support for software defects, backdoors and malicious codes detection. ©2023 IEEE.

关键词： Industrial research

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