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Quantum Codes from Constacyclic Codes over Polynomial Residue Rings

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Chinese Journal of Electronics 2019年第6期28卷 1131-1138页

作者： DING Jian LI Hongju LIANG Jing TANG Yongsheng College of Mathematics and Informatics Fujian Normal University Fujian Provincial key lab of network security and Cryptology Fujian Normal University Department of General education Anhui Xinhua University School of Mathematics and Statistics Hefei Normal University

Sufficient and necessary conditions for Hermitian（1 + λu）-constacyclic self-orthogonal codes over F;m +uF;m are obtained, where λ is a unit of F;m +uF;*** on this, a new method for the construction of p;ary quantum codes from the obtained Hermitian（1 + λu）-constacyclic self-orthogonal codes over F;m +uF;m is *** an example, [[p;-1, p;-2d + 1, d]];m quantum MDS codes are constructed for 1 ≤ d ≤（p;+ 1）/2 and p ≠ 2, as well as some other quantum codes.

关键词： Quantum code Quantum MDS code Constacyclic code Self-orthogonal code

A Sharding Scheme Based on Graph Partitioning Algorithm for Public Blockchain

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Computer Modeling in Engineering & Sciences 2024年第6期139卷 3311-3327页

作者： Shujiang Xu Ziye Wang Lianhai Wang Miodrag J.Mihaljevi′c Shuhui Zhang Wei Shao Qizheng Wang key laboratory of Computing Power network and Information security Ministry of EducationShandong Computer Science CenterQilu University of Technology(Shandong Academy of Sciences)Jinan250014China Shandong Provincial key laboratory of Computer networks Shandong Fundamental Research Center for Computer ScienceJinan250014China Mathematical Institute The Serbian Academy of Sciences and ArtsBelgrade11000Serbia

Blockchain technology,with its attributes of decentralization,immutability,and traceability,has emerged as a powerful catalyst for enhancing traditional industries in terms of optimizing business ***,transaction performance and scalability has become the main challenges hindering the widespread adoption of *** to its inability to meet the demands of high-frequency trading,blockchain cannot be adopted in many *** improve the transaction capacity,researchers have proposed some on-chain scaling technologies,including lightning networks,directed acyclic graph technology,state channels,and shardingmechanisms,inwhich sharding emerges as a potential scaling ***,excessive cross-shard transactions and uneven shard workloads prevent the sharding mechanism from achieving the expected *** paper proposes a graphbased sharding scheme for public blockchain to efficiently balance the transaction *** crossshard transactions and evening-out workloads among shards,the scheme reduces transaction confirmation latency and enhances the transaction capacity of the ***,the scheme can achieve a high-frequency transaction as well as a better blockchain *** results show that the scheme effectively reduces the cross-shard transaction ratio to a range of 35%-56%and significantly decreases the transaction confirmation latency to 6 s in a blockchain with no more than 25 shards.

关键词： Blockchain sharding graph partitioning algorithm

Hybrid Features based K-means Clustering Algorithm for use in Electricity Customer Load Pattern Analysis

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Hybrid Features based K-means Clustering Algorithm for use i...

Multi-Relational Graph Representation Learning for Financial Statement Fraud Detection

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作者： Pengyuan Liu Chenye Yang Jiang Wu Xingbo Fu Ruanming Huang Yichao Huang Fei Fei ministry of education key lab for intelligent networks and network security Xi'an Jiaotong University State Grid Shanghai Electric Economic and Technology Research Institute

In the power system, the load pattern of users is important for electricity price formulation, abnormal electricity consumption detection and load forecasting. Accurately identifying the load patterns effectively improve the overall load forecasting performance of the power grid. However, due to many factors affecting the load, identifying load patterns is not a simple job. In this paper, the features of load data are extracted and different load patterns of users are identified. In the pattern classification, K-means clustering is used. In feature extraction, PCA and prior knowledge were respectively used for dimensionality reduction to extract new features in the past. Combining the advantages of PCA and prior knowledge, a new method, namely, weighted combination of the obtained features from two former methods, is adopted to extract new features and identify the user’s load pattern. In the similarity measure, the variance of each feature is taken as its weight, and the clustering result is superior to that of PCA and prior knowledge. In the numerical simulation, it is found that the clustering results using the new method in this paper are better than those using only PCA to reduce dimensionality or using prior knowledge to reduce dimensionality. In the experiment, the users in a certain area were divided into four categories according to the clustering result of load data: peak electricity type, partial peak electricity type I, partial peak electricity type II and abnormal electricity type.

关键词： K-means PCA Priori Knowledge User Classification Load Pattern

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Big Data Mining and Analytics 2024年第3期7卷 920-941页

作者： Chenxu Wang Mengqin Wang Xiaoguang Wang Luyue Zhang Yi Long School of Software Engineering and also with MoE Key Lab of Intelligent Networks and Network SecurityXi’an Jiaotong UniversityXi’an 710049China School of Software Engineering Xi’an Jiaotong UniversityXi’an 710049China Shenzhen Finance Institute The Chinese University of Hong KongShenzhen(CUHK-Shenzhen)Shenzhen 518026China

Financial statement fraud refers to malicious manipulations of financial data in listed companies'annual *** machine learning approaches focus on individual companies,overlooking the interactive relationships among companies that are crucial for identifying fraud ***,fraud detection is a typical imbalanced binary classification task with normal samples outnumbering fraud *** this paper,we propose a multi-relational graph convolutional network,named FraudGCN,for detecting financial statement fraud.A multi-relational graph is constructed to integrate industrial,supply chain,and accounting-sharing relationships,effectively encapsulating the multidimensional and complex interactions among *** then develop a multi-relational graph convolutional network to aggregate information within each relationship and employ an attention mechanism to fuse information across multiple *** attention mechanism enables the model to distinguish the importance of different relationships,thereby aggregating more useful information from key *** alleviate the class imbalance problem,we present a diffusion-based under-sampling strategy that strategically selects key nodes globally for model *** also employ focal loss to assign greater weights to harder-to-classify minority *** build a real-world dataset from the annual financial statement of listed companies in *** experimental results show that FraudGCN achieves an improvement of 3.15%in Macro-recall,3.36%in Macro-F1,and 3.86%in GMean compared to the second-best *** dataset and codes are publicly available at:https://***/XNetlab/MRG-for-Finance.

关键词： financial statement fraud class imbalance Graph Neural networks(GNN) multi-relational graphs

A fine-grained intrusion protection system for inter-edge trust transfer

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Digital Communications and networks 2024年第5期10卷 1365-1374页

作者： Boran Yang Dapeng Wu Ruyan Wang Zhigang Yang Yu Yang School of Communication and Information Engineering Chongqing University of Posts and Telecommunications Advanced network and intelligent Connection Technology key laboratory of Chongqing education Commission of China Chongqing key laboratory of Ubiquitous Sensing and networking

The phenomenal popularity of smart mobile computing hardware is enabling pervasive edge intelligence and ushering us into a digital twin ***,the natural barrier between edge equipment owned by different interested parties poses unique challenges for cross-domain trust *** addition,the openness of radio access and the accessibility of edge services render edge intelligence systems vulnerable and put sensitive user data in *** paper presents an intrusion protection mechanism for edge trust transfer to address the inter-edge trust management issue and the conundrum of detecting indistinguishable malevolent nodes launching weak ***,an inter-edge reputation transfer framework is established to leverage the trust quality of different edges to retain the accumulated trust histories of users when they roam in multi-edge environments ***,a fine-grained intrusion protection system is proposed to reduce the negative impact of attacks on user interactions and improve the overall trust quality and system security of edge intelligence *** experimental results validate the effectiveness and superior performance of the proposed intrusion protection for edge trust transfer in securing,enhancing,and consolidating edge intelligence services.

关键词： Edge computing Cross-domain trust management Trust transfer Intrusion protection

Neural network-Based State Estimation for Nonlinear Systems With Denial-of-Service Attack Under Try-Once-Discard Protocol

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IEEE/CAA Journal of Automatica Sinica 2024年第10期11卷 2182-2184页

作者： Xueli Wang Shangwei Zhao Ming Yang Xin Wang Xiaoming Wu the key laboratory of Computing Power network and Information security Ministry of EducationShandong Computer Science CenterQilu University of Technology(Shandong Academy of Sciences)Jinan 250014 Shandong Provincial key laboratory of Computer networks Shandong Fundamental Research Center for Computer ScienceJinan 250014China Department of Automation Shanghai Jiao Tong UniversityShanghai 200240China

Dear Editor,This letter deals with state estimation issues of discrete-time nonlinear systems subject to denial-of-service(DoS)attacks under the try-once-discard(TOD)*** specifically,to reduce the communication burden,a TOD protocol with novel update rules on protocol weights is designed for scheduling measurement *** addition,unknown nonlinear functions vulnerable to DoS attacks are considered due to the openness and vulnerability of the network.

关键词： Service DoS service

INTERFERENCE COORDINATION METHOD BASED ON GRAPH THEORY IN TWO-TIER CELLULAR networks

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Journal of Electronics(China) 2013年第1期30卷 66-74页

作者： Shi Jurong Zhu Qi Jiangsu key lab of Wireless Communications Key Lab on Wideband Wireless Communications and Sensor Network. Technology of Ministry of Education Nanjing University of Posts and Telecommunications

This paper studies an interference coordination method by means of spectrum allocation in Long-Term Evolution (LTE) multi-cell scenario that comprises of macrocells and femtocells. The purpose is to maximize the total throughput of femtocells while ensuring the Signal-to-Interference plus Noise Ratio (SINR) of the edge macro mobile stations (mMSs) and the edge femtocell Mobile Stations (fMSs). A new spectrum allocation algorithm based on graph theory is proposed to reduce the interference. Firstly, the ratio of Resource Blocks (RBs) that mMSs occupy is obtained by genetic algorithm. Then, after considering the impact of the macro Base Stations (mBSs) and small scale fading to the fMS on different RBs, multi-interference graphs are established and the spectrum is allocated dynamically. The simulation results show that the proposed algorithm can meet the Quality of Service (QoS) requirements of the mMSs. It can strike a balance between the edge fMSs' throughput and the whole fMSs' throughput.

关键词： Long-Term Evolution (LTE) Graph theory Two-tier cellular network Interference coordination

Optimization-based mode selection scheme for OAM millimeter wave system in the off-axis misalignment case

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Digital Communications and networks 2024年第1期10卷 101-108页

作者： Haie Dou Lei Wang Bin Kang Baoyu Zheng key lab of Broadband Wireless Communication and Sensor network Technology(Nanjing University of Posts and Telecommunications) Ministry of EducationNanjing210003China School of Internet of Things Nanjing University of Posts and TelecommunicationsNanjing210003China

Millimeter-wave transmission combined with Orbital Angular Momentum(OAM)has the advantage of reducing the loss of beam power and increasing the system ***,to fulfill this advantage,the antennas at the transmitter and receiver must be parallel and coaxial;otherwise,the accuracy of mode detection at the receiver can be seriously *** this paper,we design an OAM millimeter-wave communication system for overcoming the above ***,the first contribution is that the power distribution between different OAM modes and the capacity of the system with different mode sets are analytically derived for performance *** second contribution lies in that a novel mode selection scheme is proposed to reduce the total interference between different *** results show that system performance is less affected by the offset when the mode set with smaller modes or larger intervals is selected.

关键词： Orbital angular momentum Millimeter wave Off-axis misalignment Mode selection Capacity

AR-CNN: an attention ranking network for learning urban perception

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Science China(Information Sciences) 2022年第1期65卷 164-174页

作者： Zhetao LI Ziwen CHEN Wei-Shi ZHENG Sangyoon OH Kien NGUYEN key laboratory of Hunan Province for Internet of Things and Information security Xiangtan University key laboratory of intelligent Computing & Information Processing of ministry of education Xiangtan University School of Data and Computer Science Sun Yat-sen University Department of Computer and Information Engineering Ajou University Graduate School of Engineering Chiba University

An increasing number of deep learning methods is being applied to quantify the perception of urban environments, study the relationship between urban appearance and resident safety, and improve urban appearance. Most advanced methods extract image feature representations from street-level images through conventional visual computation algorithms or deep convolutional neural networks and then directly predict the results using features. Unfortunately, these methods take color and texture information together during processing. Color and texture are prime image features, and they affect human perception and judgment differently. We argue that color and texture should be operated differently; therefore, we formulate an end-to-end learning methodology to process input images according to color and texture information before inputting it into the neural network. The processed images and the original image constitute three input streams for the triad attention ranking convolutional neural network(AR-CNN) model proposed in this *** accordance with the aspects of color and texture, an improved attention mechanism in the convolution layer is proposed. Our objective is to obtain the scores of humans on urban appearance in accordance with the prediction results computed from pairwise comparisons generated by the AR-CNN model.

关键词： ranking network urban perception attribute learning attention network colour and texture

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