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3rd IEEE International Conference on information Systems and Computer Aided Education, ICISCAE 2020

作者： Tang, Shiyang Xu, Xiyuan Yang, Yang Yu, Zhen Liu, Zhuguang Guan, Cheng State Grid Key Laboratory of Information Network Security Global Energy Interconnection Research Institute Co. Ltd Beijing China State Grid Zhejiang Electric Power Co. Ltd Hangzhou China State Grid Wenzhou Electric Power Company Wenzhou China

ISBN: (数字)9781728183046

ISBN: (纸本)9781728183039

power system is one of the most fundamental infrastructure systems for human society. The stability of power system greatly affects the economy and security of the city. Therefore, recovering the power system in cities after a severe disaster is the high priority work in a disaster emergency process. Among several kinds of huge disasters, typhoon is a highly valuable research target. Different from the earthquake or tsunami, typhoons often last several days before landing after their generation, so there is much more time for people to prepare and cope with the damage to power system. In this paper, a damage class prediction method for determining the command institution is researched. Based on the actual power system damage data in China from 2004 to 2019, this research proposed the prediction method with machine learning algorithm. The result shows SVM model can reach 77.4 % accuracy in this task, and it is accurate enough to support the emergency decision. © 2020 IEEE.

关键词： Forecasting

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Koblitz Elliptic Curves Generating Based on Evolutionary Cryptography Theory and Verifying Parameters Recommended by NIST

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China Communications 2011年第4期8卷 41-49页

作者：王潮张焕国刘礼黎 Key Lab of Specialty Fiber Optics and Optical Access Network Ministry of Education Shanghai University Key Laboratory of Aerospace Information Security and Trusted Computing Ministry of Education Computer School Wuhan University Huawei Technologies Co. Ltd

Elliptic curve cryptography is one of the most important public-key *** Koblitz Curve is a special kind of elliptic curve in ECC and its security mainly depends on the base *** on Evolutionary Cryptography theory,which becomes a principal concept for cryptography design and cryptanalysis,we propose a new algorithm for secure EC generation based on Ant Colony Optimization(ACO)to accelerate the search process of safe base *** preliminarily deal with secure Koblitz curve selecting over the field F(2800).Experiments show that the base field and base point of secure curves generated by ant colony algorithm have gone beyond the parameter range of Koblitz curves recommended by *** can present many new secure Koblitz curves,including base field and base point,which are not recommended by *** maximum size of our secure Koblitz curve has gone beyond *** algorithm in this paper follows the same cryptography criteria recommended by the ***,it can resist current *** analysis and experimental results prove that the new algorithm is effective and successful,and it is the first successful practice of Evolutionary Cryptography theory in public cryptography research.

关键词： evolutionary cryptography ECC secure curves ACO

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Double JPEG Compression Detection Based on Markov Model 18th

Double JPEG Compression Detection Based on Markov Model

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18th International Workshop on Digital Forensics and Watermarking, IWDW 2019

作者： Wang, Jinwei Huang, Wei Luo, Xiangyang Shi, Yung-Qing Nanjing University of Information Science and Technology Nanjing210044 China Department of Computer and Software Nanjing University of Information Science and Technology NanjingJiangsu210044 China Shanxi Key Laboratory of Network and System Security Xidian University Xi’an710071 China State Key Laboratory of Mathematical Engineering and Advanced Computing Zhengzhou450001 China State Key Laboratory of Information Security Institute Information Engineering Chinese Academy of Sciences Beijing100093 China Department of Electrical Computer Engineering New Jersey Institute of Technology NewarkNJ07102 United States

ISBN: (纸本)9783030435745

In this paper, a feature based on the Markov model in quaternion discrete cosine transform (QDCT) domain is proposed for double JPEG compression detection. Firstly, a given JPEG image is extracted from blocked images to obtain amplitude and three angles (ψ, φ, and θ). Secondly, when extracting the Markov features, we process the transition probability matrix with the corresponding refinement. Our proposed refinement method not only reduces redundant features, but also makes the acquired features more efficient for detection. Finally, a support vector machine (SVM) is employed for NA-DJPEG compression detection. It is well known that detecting NA-DJPEG compressed images with (Formula Presented) is a challenging task, and when the images with small size (i.e., 64 × 64), the detection will be more difficult. The experimental result indicates that our method can still achieve a high classification accuracy in this case. © 2020, Springer Nature Switzerland AG.

关键词： Support vector machines

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Evolutionary cryptography theory based generating method for a secure Koblitz elliptic curve and its improvement by a hidden Markov models

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Science China(information Sciences) 2012年第4期55卷 911-920页

作者： WANG Chao 1,ZHANG HuanGuo 2,3 & LIU LiLi 4 1 key Lab of Specialty Fiber Optics and Optical Access network,Ministry of Education,Shanghai University,Shanghai 200072,China 2 Computer School of Wuhan University,Wuhan 430072,China 3 key laboratory of Aerospace information security and Trusted computing Ministry of Education,Wuhan 430072,China 4 Huawei Technologies CO.LTD.,Shanghai 201206,China 1. Key Lab of Specialty Fiber Optics and Optical Access Network Ministry of Education Shanghai University Shanghai 200072 China2. Computer School of Wuhan University Wuhan 430072 China3. Key Laboratory of Aerospace Information Security and Trusted Computing Ministry of Education Wuhan 430072 China4. Huawei Technologies CO. LTD. Shanghai 201206 China

Considering potential attacks from cloud-computing and quantum-computing,it is becoming nec-essary to provide higher security elliptic *** hidden Markov models are introduced for designing the trace-vector computation algorithm to accelerate the search for elliptic curve (EC) *** present a new algorithm for secure Koblitz EC generation based on evolutionary cryptography *** algorithm is tested by selecting a secure Koblitz EC over the field F(2 2000),with experiments showing that both the base field and base point of the secure curve generated exceed the parameter range for Koblitz curves recommended by *** base fields generated go beyond 1900 bits,which is higher than the 571 bits recommended by *** also find new secure curves in the range F(2 163)-F(2 571) recommended by *** perform a detailed security analysis of those secure curves,showing that those we propose satisfy the same security criteria as NIST.

关键词： secure EC selection evolutionary cryptography theory ant colony algorithm Koblitz EC HMM

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A security Reinforcement Model for Edge computing Facilities in 5G power network 1

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

作者： Li, Nige Zhou, Peng Shao, Zhipeng Chen, Xiaoxiao Power Grid Digitizing Technology Department State Grid Smart Grid Research Institute Co. Ltd. Jiangsu Nanjing210003 China State Grid Key Laboratory of Information and Network Security Nanjing210003 China State Grid Zhejiang Electric Power Corporation Information and Telecommunication Branch Hangzhou China

ISBN: (数字)9789811934865

ISBN: (纸本)9789811934858

5G network has attracted much attention from the vertical industry since its commercial use. Compared with previous generations of mobile communication technologies, 5G bandwidth, delay and other communication KPI indicators have been greatly improved. 5G network has three typical application scenarios of large bandwidth, low delay and wide connection. In the power grid scenario, it can meet the needs of various power grid business access. As the key technology to realize 5G, multi-access edge computing (MEC) plays an important role in high-speed and low delay wireless data transmission network and has made indelible contributions to improving end-to-end service quality. In view of today’s increasingly complex network security environment and changing attack means, security attacks against MEC systems and applications have become endless. In order to deal with large-scale and various attacks, this paper studies the micro application security reinforcement and independent application security reinforcement technology deployed in edge computing facilities in the environment of 5G power network, proposes the security reinforcement model of MEC, and strengthens the source code of edge computing facilities based on the so file confusion technology of OLLVM, so as to ensure the safe and stable operation of MEC. © 2022, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

关键词： 5G mobile communication systems

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LBBESA: An efficient software-defined networking load-balancing scheme based on elevator scheduling algorithm

LBBESA: An efficient software-defined networking load-balanc...

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作者： Li, Qiliang Cui, Jie Zhong, Hong Du, Yichao Luo, Yonglong Liu, Lu School of Computer Science and Technology Anhui University Hefei China Anhui Provincial Key Laboratory of Network and Information Security Wuhu China School of Electronics Computing and Mathematics University of Derby DerbyDE22 1GB United Kingdom

Elevator scheduling algorithms generally denote methods used to calculate how to use the elevator. These algorithms can distribute elevators to various floors of a building, thereby achieving efficient transportation. From the perspective of the elevator scheduling problem, we address the load-balancing problem for software-defined networking (SDN) architecture and propose a load-balancing method based on the elevator scheduling algorithm, LBBESA. We take advantage of the flexibility of the SDN architecture, obtain the real-time load of the server through real-time statistical analyses of the SDN switch port traffic by the controller, and combine this with the idea of regional elevator allocation to coordinate the connection of the client's requests and realize the load balancing of each server in the cluster. Simulation experiments show that, compared with the round-robin algorithm, LBBESA is more effective in the load balancing of the server pool and can improve the throughput of the server pool to a certain extent. In addition, our scheme is easy to implement and has high scalability. © 2019 John Wiley & Sons, Ltd.

关键词： Software defined networking

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Online condition monitoring and state of health estimation method for lithium-ion batteries based on time-ratio features

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Sustainable Energy Technologies and Assessments 2025年 79卷

作者： Gaige Chen Chenglong Wang Yahong Yang Xiaoshen Zhang Wei Deng Jinsong Liu School of Communications and Information Engineering & School of Artificial Intelligence Xi’an University of Posts and Telecommunications Xi’an Shaanxi 710121 China Shaanxi Union Research Center of University and Enterprise for 5G+ Industrial Internet Communication Terminal Technology Xi’an University of Posts and Telecommunications Xi’an Shaanxi 710121 China Shaanxi Key Laboratory of Information Communication Network and Security Xi’an University of Posts & Telecommunications Xi’an Shaanxi 710121 China State Key Laboratory of Space Power Sources Shanghai Institute of Space Power-sources Shanghai 200245 China Xi’an Aviation Brake Technology Co. Ltd. Xi’an Shaanxi 710065 China Contemporary Amperex Technology Co. Ltd. Ningde Fujian 352107 China

Condition monitoring and state of health estimation are crucial for ensuring the secure operation of lithium-ion batteries. To address the difficulty in thoroughly capturing the changes in the state of the partial charging and discharging processes of the battery and the high demand for real-time performance of battery condition monitoring, a method for online condition monitoring and state of health estimation of lithium-ion batteries based on time-ratio features from the whole process is proposed. The health features are derived from the battery’s full charging and discharging curves, and the correlation methodology is used to analyse the relationship with the state of health. The proposed random forest-based online condition monitoring model and gated recurrent unit-based state of health estimation model are conducive to timely monitoring abnormal conditions and accurate estimation to ensure safe battery operation. Finally, the proposed method can realise accurate and real-time online condition monitoring with a classification accuracy of more than 0.93 and running time of less than 0.2 ms, and achieve better performance of state of health estimation under different ambient temperatures, with a root-mean-square error of less than 0.02 at room temperature and less than 0.01 at 43 °C.

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LGDB-Net: Dual-Branch Path for Building Extraction from Remote Sensing Image 30

LGDB-Net: Dual-Branch Path for Building Extraction from Remo...

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

作者： Zhang, Ronghuan Zhao, Jing Li, Ming Zou, Qingzhi 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 University of Traditional Chinese Medicine School of Intelligence and Information Engineering Jinan China

ISBN: (纸本)9798331515966

Extracting buildings from remote sensing images using deep learning techniques is a widely applied and crucial task. Convolutional Neural networks (CNNs) adopt hierarchical feature representation, showcasing powerful capabilities in extracting local information but facing challenges in capturing global features. Transformers can address this limitation, but they perform poorly in extracting local features and significantly increase memory requirements and computational complexity. To overcome these challenges, we propose a method for building extraction from remote sensing images called LGDB-Net (Local-Global Dual-Branch network), employing a dual-branch approach. Firstly, inspired by Swin Transformer, we designed GB-Former(Global Branch-Former) as the backbone network to model global information. We use a linear multi-head self-attention mechanism to reduce time and memory complexity while maintaining a large global receptive field. Additionally, we replace the traditional multi-layer perceptron with a convolution-enhanced multi-layer perceptron to improve channel feature representation, reduce model parameters, and enhance segmentation performance. Secondly, we use multiple Depth-wise Conv3×3 + LN (Layer Normalization) + GeLU (Gaussian Error Linear Unit) modules as the auxiliary branch for local detailed feature extraction. Finally, we adopt a multi-scale feature fusion strategy to integrate feature information from both branches. We conduct a series of experiments on three datasets: WHU, Massachusetts, and Inria. The experimental results demonstrate that the proposed method not only effectively improves segmentation accuracy with lower building omission and commission rates but also significantly reduces model parameters and computational complexity. © 2024 IEEE.

关键词： Convolutional neural networks

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Strong security enabled certificateless aggregate signatures applicable to mobile computation

Strong security enabled certificateless aggregate signatures...

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3rd IEEE International Conference on Intelligent networking and CollaborativeSystems, INCoS 2011

作者： Hu, Xiong Wu, Qianhong Chen, Zhong Key Laboratory of Network and Software Security Assurance of the Ministry of Education School of Electronics Engineering and Computer Science Peking University Beijing 100871 China Key Laboratory of Aerospace Information Security and Trusted Computing Wuhan University Ministry of Education China Universitat Rovira i Virgili Department of Computer Engineering and Mathematics UNESCO Av. Països Catalans 26 E-43007 Tarragona Spain

ISBN: (纸本)9780769545790

An aggregate signature scheme allows a public algorithm to aggregate n signatures of n distinct messages from n signers into a single signature. By validating the single resulting signature, one can be convinced that the messages have been endorsed by all the signers. Certificateless aggregate signatures allow the signers to authenticate messages without suffering from the complex certificate management in the traditional public key cryptography or the key escrow problem in identitybased cryptography. In this paper, we present a new efficient certificateless aggregate signature scheme. Compared with up-todate certificateless aggregate signatures, our scheme is equipped with a number of attracting features: (1) it is shown to be secure under the standard computational Diffie-Hellman assumption in the random oracle model;(2) the security is proven in the strongest security model so far;(3) the signers do not need to be synchronized;and (4) its performance is comparable to the most efficient up-to-date schemes. These features are desirable in a mobile networking and computing environment where the storage/computation capacity of the end devices are limited, and due to the wireless connection and distributed feature, the computing devices are easy to be attacked and hard to be synchronized. © 2011 IEEE.

关键词： Public key cryptography

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network Channel Protection Technology for Grid 5G Business 6

Network Channel Protection Technology for Grid 5G Business

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6th International Conference on power and Renewable Energy, ICPRE 2021

作者： Gao, Xianzhou Zhang, Xiaojian Gu, Zhimin Yao, Qigui Global Energy Interconnection Research Institute Co. Ltd. State Grid Key Laboratory of Information Network Security Nanjing China State Grid Jiangsu Electric Power CO. LTD. Research Institute Nanjing China

ISBN: (纸本)9781665449618

This paper introduces the network slicing technology adopted by 5G to meet diverse vertical grid industry applications. Introduced the core content network channel isolation technology of network channel security, including the isolation realization of network slicing in the access network, bearer network and core network. Combining the application scenarios of network slicing in the power industry, we have analyzed the isolation realization of network slicing applied to the power industry and network slicing of other industries and the isolation realization of network slicing corresponding to different businesses in the power industry. Finally, we provide an implementation case of network channel isolation for power grid business. © 2021 IEEE.

关键词： 5G mobile communication systems

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