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2020 3rd International Symposium on power Electronics and Control Engineering, ISPECE 2020

作者： Zhu, Jing Wu, Tao Li, Jintao Liu, Yanbin Jiang, Qixin 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. © Published under licence by IOP Publishing Ltd.

关键词： Edge computing

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Efficient attribute-based encryption with blackbox traceability 12th

Efficient attribute-based encryption with blackbox traceabil...

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12th International Conference on Provable security, ProvSec 2018

作者： Xu, Shengmin Yang, Guomin Mu, Yi Liu, Ximeng Institute of Cybersecurity and Cryptology School of Computing and Information Technology University of Wollongong Wollongong Australia School of Information Systems Singapore Management University Singapore Singapore College of Mathematics and Computer Science Fuzhou University FuzhouFujian China Fujian Provincial Key Laboratory of Network Security and Cryptology Fujian Normal University Fuzhou China

ISBN: (纸本)9783030014452

Traitor tracing scheme can be used to identify a decryption key is illegally used in public-key encryption. In CCS’13, Liu et al. proposed an attribute-based traitor tracing (ABTT) scheme with blackbox traceability which can trace decryption keys embedded in a decryption blackbox/device rather than tracing a well-formed decryption key. However, the existing ABTT schemes with blackbox traceability are based on composite order group and the size of the decryption key depends on the policies and the number of system users. In this paper, we revisit blackbox ABTT and introduce a new primitive called attribute-based set encryption (ABSE) based on key-policy ABE (KP-ABE) and identity-based set encryption (IBSE), which allows aggregation of multiple related policies and reduce the decryption key size in ABTT to be irrelevant to the number of system users. We present a generic construction of the ABTT scheme from our proposed ABSE scheme and fingerprint code based on the Boneh-Naor paradigm in CCS’08. We then give a concrete construction of the ABSE scheme which can be proven secure in the random oracle model under the decisional BDH assumption and a variant of q-BDHE assumption. © Springer Nature Switzerland AG 2018.

关键词： Public key cryptography

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A secure message delivery scheme with path tracking for delay tolerant networks

A secure message delivery scheme with path tracking for dela...

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2012 1st IEEE International Conference on Communications in China, ICCC 2012

作者： Jia, Zhongtian Raffay, Muhammad Ali Li, Lixiang Lin, Xiaodong Yang, Yixian Shandong Provincial Key Laboratory of Network Based Intelligent Computing University of Jinan Jinan 250022 China Information Security Center Beijing University of Posts and Telecommunications Beijing 100876 China Faculty of Business and Information Technology University of Ontario Institute of Technology Oshawa ON L1H 7K4 Canada

ISBN: (纸本)9781467328159

In delay tolerant networks (DTNs), message delivery is operated in an opportunistic way through store-carry and forward relaying, and every DTN node is in anticipation of cooperation for data forwarding from others. Unfortunately, there always exist some selfish nodes that are reluctant to contribute to this cooperative data forwarding procedure so as to save their valuable storage buffer, limited computation power and precious energy. In order to stimulate nodes' willingness to participate in data forwarding, a number of incentive schemes have been proposed recently. However, most existing incentive schemes simply ignore efforts of nodes involved in message delivery if messages delivered fail to reach their destinations. Due to the nature of DTN, such as intermittent connectivity, it is not unusual to have unreliable message delivery, which results in unrewarded or wasted efforts for participating nodes and may discourage them from participating in future data forwarding. Therefore, it is crucial to recognize contribution of every node involved in a data forwarding procedure even the message it helps to forward doesn't successfully reach its destination. However, how to track all delivery paths so as to give every intermediate node some incentive for their cooperative efforts of data forwarding is still an open research problem. To address this problem, we propose a secure message forwarding scheme with path tracking. The proposed method is end-to-end secure with data source and identity authentication. In addition, it can thwart some well known attacks including edge inserting attack, sibling inserting attack and free riding attack. © 2012 IEEE.

关键词： Delay tolerant networks

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Research on Virtual 3D Remote Sensing Technology of power Grid Station Based on 2D Vision 5

Research on Virtual 3D Remote Sensing Technology of Power Gr...

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5th International Conference on information Technologies and Electrical Engineering, ICITEE 2022

作者： Yu, Hai Tang, Shiyang Peng, Lin Yu, Zhen Qian, Kun School of Automation Southeast University Jiangsu Nanjing210096 China Power Grid Digitization Technology Research Institute State Grid Smart Grid Research Institute Jiangsu Nanjing210003 China State Grid Key Laboratory of Information & Network Security Nanjing210003 China

ISBN: (纸本)9781450396806

Aiming at the production safety management and control problems of substations, the digital twin 3D volume of substations is constructed based on 3D twinning technology, and the 2D/3D space fusion positioning perception technology based on existing multi-band surveillance cameras is studied. The automatic safety risk monitoring algorithm of common monitoring equipment, such as the automatic safety risk monitoring algorithm, realizes the high-precision perception analysis of the three-dimensional space of personnel/equipment in the substation, and can be applied to the safety management and control of personnel, equipment and perimeter of the substation, and improves the safety management level of the power grid. © 2022 ACM.

关键词： Risk assessment

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MAC Frame Resolution and PHY Protocol Type Detection of IEEE 802.11

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International Journal of Communications, network and System Sciences 2017年第5期10卷 43-53页

作者： Ling Li Shi Peng June Li Kai Yuan Zhihao Wang Yinbin Liu Ping Chen Xianbing Wang China Electric Power Research Institute Beijing China Key Laboratory of Aerospace Information Security and Trusted Computing of Ministry of Education Wuhan China Wuhan University Wuhan China

Frame resolution and physical layer (PHY) protocol type detection are the basis of research and development of intrusion prevention systems for IEEE 802.11 wireless network. Aiming at the problems which cannot be solved by the specifications export, this paper proposed a MAC frame analytical method and a PHY protocol type detection algorithm based on parsing the IEEE 802.11packets captured by the library Libpcap. The packet structure and the length of the frame preamble (18 or 26 bytes) are presented. Then the methods of transforming byte-order and resolving sub-fields are given. A detection algorithm of PHY protocol type is proposed based on the experiments and examples are given to verify these methods. This work can be a reference for the R & D related to link layer frame analysis.

关键词： IEEE 802.11 MAC Frame Resolution PHY Protocols Detection

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Research on Dynamic Technology of Digital Benefit Intelligent Quantitative Control 11

Research on Dynamic Technology of Digital Benefit Intelligen...

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11th International Conference of information and Communication Technology, ICTech 2022

作者： He, Zhimin Dong, Aidi Pan, Jianhong Global Energy Interconnection Research Institute Co. Ltd Jiangsu Nanjing210003 China State Grid Key Laboratory of Information & Network Security Beiqijia Beijing100000 China State Grid Jilin Electric Power Co. Ltd Changchun130021 China

ISBN: (数字)9781665496940

ISBN: (纸本)9781665496940

With the rapid development of the digital economy, combined with changes in the company's internal and external development situations, the digitization of grid companies is extending from supporting management digitization to serving energy Internet digitization applications, extending from serving internally to internally and externally, and helping to improve quality and efficiency. To empower emerging industries to upgrade and extend, the digital construction of power grid companies will become an important core task for the construction of the energy Internet. This article is based on the quantitative control dynamic technology of digital economic benefit evaluation, through the analysis of business types, project cycles., new business development, etc., using big data analysis., data governance, machine learning and other technologies to capture, integrate, and analyze project data, To form an architectural feature model, to screen and effectively correlate digital economic benefit evaluation indicators, and finally complete the construction of a dynamic analysis model for digital economic benefit evaluation intelligent quantitative control. © 2022 IEEE.

关键词： Economic and social effects

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A JPEG compression-resistant data watermark embedding and detection algorithm 21

A JPEG compression-resistant data watermark embedding and de...

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5th International Conference on Electronic information Technology and Computer Engineering, EITCE 2021

作者： Yu, Pengfei Huang, Xiuli Hu, Bo Zhou, Xiaoming State Grid Key Laboratory of Information and Network Security Global Energy Interconnection Research Institute Co. Ltd. Nanjing Jiangsu Province China State Grid Liaoning Electric Power Supply Co. Ltd. Shenyang Liaoning Province China

ISBN: (纸本)9781450384322

When the image is processed by JPEG compression, the data watermark originally hidden in the image will not be extracted effectively according to resampling and noise addition. This would greatly limit the application of image data watermark in real scenes. In this paper, a novel JPEG compression-resistant data watermark embedding and detection algorithm is proposed for the robustness of data watermark embedding and extraction under lossy channels. The algorithm uses the compression invariance of DCT coefficient symbols to select candidate coefficients in the carrier image that can resist JPEG compression, followed by assigning distortion cost to each candidate coefficient, and then embedding the watermark information into the carrier image using error correction codes and Syndrome-Trellis Code encoding. The tests show that the proposed watermark embedding method improves the detection resistance performance by more than 7.7% when the relative embedding rate is 0.1, and the correct extraction rate of data watermark can reach more than 99% under JPEG compression with different quality factors. © 2021 ACM.

关键词： Image compression

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Research on Multi-dimensional Sensitivity Economic Evaluation Method of Digital Technology in power Grid Enterprises 1

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5th International Conference on Wireless Communications and Applications, ICWCA 2021

作者： Zhu, Liang Dong, Aidi Pan, Jianhong Global Energy Interconnection Research Institute Co. Ltd. Jiangsu Nanjing China State Grid Key Laboratory of Information and Network Security Jiangsu Nanjing China State Grid Jilin Electric Power Co. Ltd. Changchun130021 China

ISBN: (数字)9789811934865

ISBN: (纸本)9789811934858

The participation of power grid enterprises is essential to meet the requirements of new energy reform for carbon neutralization. Aiming at the multi-dimensional sensitivity of power grid enterprises, this paper proposes a digital technical and economic analysis model for power business needs and a digital benefit technical and economic evaluation method based on multi-dimensional index sensitivity analysis, which can meet the requirements of safe and stable operation of power grid, intelligent operation management of enterprises, construction of energy Internet ecosystem, economic accounting of energy Internet industry Driving the demand for the benefit evaluation of digital construction from the aspects of integration economic impact, innovating the production mode of power grid enterprises and the construction of energy Internet service system has important practical significance to improve the economic benefits of power grid enterprises, so as to provide an economic evaluation method for realizing carbon peak. © 2022, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

关键词： Sensitivity analysis

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LDVNet: Lightweight and Detail-Aware Vision network for Image Recognition Tasks in Resource-Constrained Environments 29

LDVNet: Lightweight and Detail-Aware Vision Network for Imag...

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29th IEEE International Conference on Parallel and Distributed Systems, ICPADS 2023

作者： Liu, Yuchen Liang, Hu Qiu, Ran Zhao, Shengrong Qilu University of Technology Shandong Academy of Sciences Key Laboratory of Computing Power Network and Information Security Ministry of Education Shandong Computer Science Center Jinan China Qilu University of Technology Shandong Academy of Sciences Shandong Engineering Research Center of Big Data Applied Technology Faculty of Computer Science and Technology Jinan China Shandong Fundamental Research Center for Computer Science Shandong Provincial Key Laboratory of Computer Networks Jinan China

ISBN: (纸本)9798350330717

In many underwater application scenarios, recognition tasks need to be executed promptly on computationally limited platforms. However, models designed for this field often exhibit spatial locality, and existing works lack the ability to capture crucial details in images. Therefore, a lightweight and detail-aware vision network (LDVNet) for resource-constrained environments is proposed to overcome the limitations of these approaches. Firstly, in order to enhance the accuracy of target image recognition, we introduce transformer modules to acquire global information, thus addressing the issue of spatial locality inherent in traditional convolutional neural networks (CNNs). Secondly, to maintain the network's lightweight nature, we integrate the transformer module with convolutional operations, thereby mitigating the substantial parameter and floating point operations (FLOPs) overhead. Thirdly, for the efficient extraction of crucial fine-grained details from feature maps, we have devised a channel and spatial attention module (C&SA). This module aids in recognizing intricate and fine-grained visual tasks and enhances image understanding. It is seamlessly integrated into LDVNet with nearly negligible parameter overhead. The experimental results demonstrate that LDVNet outperforms other lightweight networks and hybrid networks in different recognition tasks, while being suitable for resource-constrained environments. © 2023 IEEE.

关键词： Detail-aware Image recognition Lightweight

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FERI: Feature Enhancement and Relational Interaction for Image-text Matching 30

FERI: Feature Enhancement and Relational Interaction for Ima...

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30th IEEE International Conference on Parallel and Distributed Systems, ICPADS 2024

作者： Zhang, Yu Zhang, Jianqiang Song, Gongpeng Lu, Qin Zhao, Shuo Key Laboratory of Computing Power Network and Information Security Ministry of Education Shandong Computer Science Center Jinan China Shandong Engineering Research Center of Big Data Applied Technology Faculty of Computer Science and Technology Jinan China Shandong Fundamental Research Center for Computer Science Shandong Provincial Key Laboratory of Computer Networks Jinan China Shandong Branch of China Mobile Communication Group Design Institute Co. Jinan China

ISBN: (纸本)9798331515966

Image-text matching is an important problem at the intersection of computer vision and natural language processing. It aims to establish the semantic link between image and text to achieve high-quality semantic alignment between the two modalities. However, the existing methods have the problem that the meaning expressed in the image or the complex narrative in the text cannot be fully understood due to insufficient feature extraction. Moreover, due to the essential modal differences between images and texts, how to effectively and accurately align the semantic contents in images and texts has become the key of research. In order to solve the above problems, this paper proposes a method based on feature enhancement and relationship interaction. When processing images, the proposed method fuses labeled features, region features and location features to represent images. When processing text, a combination of Bi-GRU and self-attention mechanism is used to represent the text. In order to further align the semantic content in images and texts accurately, this paper improves two relational interaction mechanisms by identifying connection relationships and learning association relationships. Thus, the relation enhanced embedding is obtained. Finally, it calculated the similarity of the enhanced embedding to judge the matching degree of the image and text. Extensive experiments on the public datasets Flickr30K and MSCOCO demonstrate the effectiveness of our method. © 2024 IEEE.

关键词： cross-modal retrieval feature enhancement image-text matching relationship interaction

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