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Overlapping Community Detection Based on Influence and Seeds Extension

Tien Tzu Hsueh Pao/Acta Electronica Sinica 2019年第1期47卷 153-160页

作者： Yu, Zhi-Yong Chen, Ji-Jie Guo, Kun Chen, Yu-Zhong Xu, Qian College of Mathematics and Computer Sciences Fuzhou University FuzhouFujian350116 China Fujian Provincial Key Laboratory of Network Computing and Intelligent Information Processing FuzhouFujian350116 China Ministry of Education Key Laboratory of Spatial Data Mining & Information Sharing FuzhouFujian350116 China State Grid Info-Telecom Great Power Science and Technology Co. Ltd. FuzhouFujian350003 China

Community detection is a significant research direction in the research of social networks. To improve the quality of seeds selection and expansion, we propose an influence seeds extension overlapping community detection (i-SEOCD) algorithm for overlapping community detection. First, i-SEOCD uses a node influence strategy to find the seed communities with tight structures. Second, on the basis of the seed communities, we calculate the similarity among communities and their neighbor nodes. The nodes whose similarity is greater than a predefined threshold are selected. Third, the strategy of optimizing a self-adaptive function is adopted to expand the communities. Finally, the free nodes in the network are assigned to their corresponding communities in order to find out all the overlapping community structures. Experiments on the real and artificial networks show that i-SEOCD is capable of discovering overlapping communities in complex social networks efficiently. © 2019, Chinese Institute of Electronics. All right reserved.

关键词： Population dynamics

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Research on Electric power Business Terminal Classification Technology based on Unsupervised Algorithms

Research on Electric Power Business Terminal Classification ...

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International Conference on Smart Grid and Electrical Automation (ICSGEA)

作者： Xianzhou Gao Ruxia Yang Peng Gao Lei Chen Zhou Fang State Grid Key Laboratory of Information & Network Security Global Energy Interconnection Research Institute Nanjing Jiangsu 21000 China State Grid Zhejiang Electirc Power co. Ltd Zhejiang China

ISBN: (数字)9781728182780

ISBN: (纸本)9781728182797

Electric power Business terminal has many characteristics, such as openness, heterogeneity and diversity. It has become an important entry point for network attacks. In order to effectively realize the security control of Electric power Business it is necessary to strengthen the classification management of terminals and effectively identify the security risks of different types of terminals. Aiming at the heterogeneous and diverse characteristics of Electric power Business terminals, this paper uses feature selection for unsupervised learning based on the influence of features on classification results and correlation analysis between features, realizes accurate classification of terminals, and provides an important basis for effective safety management and control of Electric power Business terminals.

关键词： Smart grids Hafnium compounds Germanium Conferences Automation

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A New Method to Enhance Container with vTPM

A New Method to Enhance Container with vTPM

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International Conference on Computer and Communications (ICCC)

作者： Zhang Xiao Jian Zhou Peng Wang Qi Gao Peng Wang Yi Liang State Grid Smart Grid Research Institute Co. Ltd. State Grid Key Laboratory of Information & Network Security Nanjing China State Grid Zhejiang Electric Power Corporation Information & Telecommunication Branch Hangzhou China

This paper proposes a new container security enhancement system and method for containers running on 5G edge computing nodes. The system consists of vTPM module, physical TPM, container manager, vTPM manager, MEC controller and physical host. vTPM module is responsible for not only container image integrity measurement and starting up the container with trust, but also the trustworthiness measurement of container runtime file system and process. Physical TPM undertakes data encryption and password protection. Container manager performs trustworthiness measurement and verification of container. The MEC controller stores the measurement reference value for the physical TPM and issues keys and certificates for the physical TPM. The container enhancing method based on this system establishes a complete trust chain from the host to the container manager, and finally to containers. This ensures the trusted startup of the container, preventing the container itself and its runtime environment from being maliciously tampered with. It also dynamically measures the file system of the container in runtime to ensure the trustworthiness of the container. The experimental results indicate that this method is able to meet the requirements of container security enhancement for power 5G edge computing nodes.

关键词： Runtime environment 5G mobile communication File systems Process control Passwords Containers Safety

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A DoS-attack Resilient Control Approach for AIOT-enabled Systems

A DoS-attack Resilient Control Approach for AIOT-enabled Sys...

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Artificial Intelligence of Things and Systems (AIoTSys), International Conference on

作者： Xiaoya Cao Zhenya Chen Weisheng Liu Yuanlong Liu Wenting Wang Xin Wang Ming Yang 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 Computer Networks Shandong Fundamental Research Center for Computer Science Jinan China State Grid Shandong Electric Power Company Jinan China State Grid Shandong Electric Power Research Institute Jinan China

This paper presents a novel controller design for dealing with the challenges posed by Denial-of-Service (DoS) attacks in the context of Artificial Intelligence of Things (AIOT). The proposed design employs a prediction approach that utilizes uniform quantization for both encoder and decoder, aiming to effectively mitigate data loss during data transmission in scenarios involving DoS attacks. Furthermore, the study investigates the application of dynamic system design as a means to enhance the security defense mechanisms of AIOT, consequently bolstering the overall resilience of the system. The effectiveness and practicality of the proposed approach are validated through comprehensive simulations, providing empirical evidence of its efficacy.

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Time Series Anomaly Detection Based on Graph Convolutional networks

Time Series Anomaly Detection Based on Graph Convolutional N...

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International Conference on Applied Machine Learning (ICAML)

作者： Zhiwei Hu Tao Wu Yunan Zhang Jintao Li Longsheng Jiang School of Communication and Information Engineering Chongqing University of Posts and Telecommunications Chongqing China School of Cybersecurity and Information Law Chongqing University of Posts and Telecommunications Chongqing China Guangdong Provincial Key Laboratory of Power System Network Security Electric Power Research Institute China Southern Power Grid Guangzhou China

ISBN: (纸本)9781728192833

With the popularization of my country's electric vehicles and the continuous deepening of smart grid upgrades, the electricity consumption data of domestic power grid companies has increased significantly. Due to inadequate detection and clever power theft methods of users, a large number of abnormal power data appear in the power consumption data of power companies. Aiming at the power theft problem of power grid companies and abnormal power data, this article suggests a power data outlier detection model in view of the combination of graph convolution and characteristic pool. First, use the time a train of directed horizontal view algorithm to delegate the power data as graph data; then, use the graph convolutional neural network and feature pooling layer to detect the abnormality of the transformed graph data. The validity of the advanced model is proving by standard graph data set and power used record data set of the power grid company. The method proposed in this paper provides an effective solution for the power theft problem and abnormal power data in the power grid.

关键词： Analytical models power demand Convolution Time series analysis Companies Feature extraction Data models

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ESSVCS: An enriched secret sharing visual cryptography

Lecture Notes in Computer Science (including subseries Lectu...

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Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 2014年 8363卷 1-24页

作者： Liu, Feng Yan, Wei Q. Li, Peng Wu, Chuankun State Key Laboratory of Information Security Institute of Information Engineering Chinese Academy of Sciences Beijing 100093 China School of Computing and Mathematical Sciences Auckland University of Technology 1142 New Zealand Department of Mathematics and Physics North China Electric Power University Baoding Hebei 071003 China

Visual Cryptography (VC) is a powerful technique that combines the notions of perfect ciphers and secret sharing in cryptography with that of raster graphics. A binary image can be divided into shares that are able to be stacked together so as to approximately recover the original image. VC is a unique technique in the sense that the encrypted message can be decrypted directly by the Human Visual System (HVS). The distinguishing characteristic of VC is the ability of secret restoration without the use of computation. However because of restrictions of the HVS, pixel expansion and alignment problems, a VC scheme perhaps can only be applied to share a small size of secret image. In this paper, we propose a general method to let the VC shares carry more secrets, the technique is to use cypher output of private-key systems as the input random numbers of VC scheme, meanwhile the encryption key could be shared, the shared keys could be associated with the VC shares. After this operation, VC scheme and secret sharing scheme are merged with the private-key system. Under this design, we implement a (k,t,n)-VC scheme. Compared to those existing schemes, our approach could greatly enhance the ability of current VC schemes and could cope with pretty rich secrets. © 2014 Springer-Verlag Berlin Heidelberg.

关键词： Binary images

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Research and Implementation of Electric Supply Reliability Evaluation Model for Distribution network

Research and Implementation of Electric Supply Reliability E...

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information and Communication Technology (ICTech), International Conference of

作者： Junfeng Qiao Chenhong Huang Aihua Zhou Hua Gu Lin Peng Xingde Huang Xiaofeng Shen Jingde Chen State grid key laboratory of information Network Security State Grid Smart Grid Research Institute Co.LTD Nanjing Jiangsu China Qingpu Power Supply Company State Grid Shanghai Electric Power Company Shanghai China

The scale of distribution network is expanding, the construction of distribution automation and ubiquitous power Internet of Things is advancing, and the multi-level and multisource real-time operation monitoring data of distribution network is growing exponentially. On the one hand, big data provides data support for distribution network reliability evaluation and dispatching planning, in different aspects, this also raises other requirements for the calculation accuracy and speed of reliability evaluation. How to mine the factors that have a great impact on reliability and make better use of electric data analysis algorithm to predict the changes of distribution network reliability in the future time scale is the focus of research. This article mainly taking technical breakthrough in electric distribution network data analysis, and studies its reliability evaluation methods of electric data analysis from both recent and forward aspects. First of all, the source of distribution network big data is analyzed from the internal and external aspects of the power system, and the data, data formats and relationships among the data source systems are analyzed. The characteristics of distribution network big data, such as wide source, diverse structure, fine granularity and complex relationships, are obtained in many ways. In view of the characteristics of multi-source and heterogeneous distribution network data, this paper puts forward a data processing algorithm based on multi-source data and a truth value discovery algorithm based on block coordinate descent method, which find out a new approach to overcome the difficulty of inconsistency and conflict of multi-source monitoring data.

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A Study on a Reduced Indicator System for the network security Situational Assessment Model

A Study on a Reduced Indicator System for the Network Securi...

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International Conference on networking and network Applications (NaNA)

作者： Hongbin Zhang Yikang Bai Dongmei Zhao Bin Liu Ying Xu Hebei University of Science and Technology School of Information Science and Engineering Shijiazhuang China Hebei Key Laboratory of Network and Information Security Hebei Normal University Shijiazhuang China School of Economics and Management Research Center of Big Data and Social Computing Shijiazhuang China

It is a challenge to monitor the network security state in a large-scale network environment because the selection of situation assessment indicators is overrun by massive observational information. To address this issue, this paper proposes a network security situational assessment model based on a reduced indicator system. The model categorises the characteristics of network assets and threats into endogenous situational factors and exogenous situational factors. By applying the multi-label extremely random tree algorithm to select the importance of network features, a reduced indicator system with independence and strong comprehensiveness is established. Additionally, the weights of the reduced indicator system are calculated using an improved analytical hierarchy process, which yields the evaluation results for network security situations. The experimental results show that the model improves the accuracy and timeliness of the situation assessment model, and the method can reflect the network situation in real time.

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Towards practical anonymous quantum communication: A measurement-device-independent approach

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Physical Review A 2021年第5期104卷 052415-052415页

作者： Yu-Guang Yang Xiao-Xiao Liu Shang Gao Yi-Hua Zhou Wei-Min Shi Jian Li Dan Li Faculty of Information Technology Beijing University of Technology Beijing 100124 China Beijing Key Laboratory of Trusted Computing Beijing 100124 China College of Network Security Beijing University of Posts and Telecommunications Beijing 100876 China College of Computer Science and Technology Nanjing University of Aeronautics and Astronautics Nanjing 210016 China

The multipartite Greenberger-Horne-Zeilinger (GHZ) entangled state is an important resource for anonymous quantum communication tasks. But its low intensity and fragility limit the practical applications of these anonymous communication tasks under current conditions. Here, we present a feasible anonymous communication protocol in the measurement-device-independent framework. We analyze its performance in a quantum network under certain types of noise. Then we compare the performance of our protocol with the GHZ-state-based anonymous protocol. We demonstrate that our protocol has a unique advantage, i.e., it can tolerate an arbitrary number of nonresponsive nodes. We prove that the security of our protocol in an active adversary scenario in which active malicious agents and an untrusted ancillary node are taken into account. Utilizing the measurement-device-independent technology, our proposal suggests an important avenue for practical anonymous quantum communication.

关键词： Quantum communication Quantum cryptography

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security Vulnerability Assessment of power IoT based on Business security

Security Vulnerability Assessment of Power IoT based on Busi...

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作者： Jiaxuan Fei Kai Chen Qigui Yao Qian Guo Xiangqun Wang State Grid Key Laboratory of Information & Network Security Global Energy Interconnection Research Institute Co.Ltd. State Grid Hebei Information &Telecommunication Branch State Grid Hebei Electric Power Co.Ltd.

power Internet of Things is the application of IoT in smart power *** attacked,it will cause huge ***,it is necessary to conduct a security assessment to take defensive ***,the traditional vulnerability assessment methods of the power Internet of things mostly focus on the security of the system itself,without considering the impact on business economy and *** paper proposes a security vulnerability assessment method of power Internet of Things integrating business *** method first analyzes the security risks faced by the power Internet of Things,and establishes its attack tree ***,each leaf node is rated from the three safety features,which are weighted by evaluation and calculation,and the activation probability of each leaf node is *** that,considering the blind attack factor,the activation probability of all nodes in the model is ***,the vulnerability of the system and the vulnerability sensitivity of each leaf node are *** to the vulnerability sensitivity,measures are taken to protect the weak links of the *** effectiveness of the proposed method is verified by experiments on SCADA(supervisory control and data acquisition)system in the power Internet of things.

关键词： power Internet of Things vulnerability assessment attack tree model SCADA system

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