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11th IEEE International Conference on Behavioural and Social Computing, BESC 2024

作者： Ma, Jiangtao Jin, Wenduo Chen, Yonggang Zhang, Fan Qian, Shenyi Qiao, Yaqiong College of Computer and Information Engineering Tianjin Normal University Tianjin300387 China School of Computer Science and Technology Zhengzhou University of Light Industry Zhengzhou450000 China The State Information Center China China National Digital Switching System Engineering and Technology R&D Center Zhengzhou China College of Cyber Science Nankai University Tianjin300350 China

ISBN: (纸本)9798331531904

Most existing multimodal named entity recognition (MNEr) methods cannot align image and text well, and fail to effectively fuse image-text semantic information, leading to suboptimal MNEr accuracy. To this end, this paper proposes a novel named entity recognition model based on Contrastive Learning and Multimodal Semantic Interaction (named CLMSI). Specifically, to narrow the semantic gap between image-text modalities, making semantically similar image-text representations closer and pushing dissimilar ones further apart, we propose a contrastive learning-based cross-modal alignment method. Moreover, to integrate multimodal information effectively and filter out the noise introduced by image features as thoroughly as possible, we propose to incorporate image descriptions as additional features to enrich the multimodal representation and to reduce the semantic bias of the image information. Extensive experiments conducted on two MNEr benchmark datasets, Twitter-2015 and Twitter-2017, demonstrate the superiority of the proposed method. Further ablation studies and case analyses also affirm the efficacy of CLMSI. © 2024 IEEE.

关键词： Contrastive Learning

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A review of the research on the Influencing Factors of Internet User Information dissemination 5

A Review of the Research on the Influencing Factors of Inter...

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5th International Conference on Pattern recognition and Artificial Intelligence, PrAI 2022

作者： Zhao, Xiuming Yu, Hongtao Li, Shaomei Zhang, Jianpeng Pla Strategic Support Force Information Engineering University Zhengzhou China National Digital Switching System Engineering & Technological R&d Center Zhengzhou China

ISBN: (数字)9781665499163

ISBN: (纸本)9781665499163

With the advent of the "Internet +"era, various network media have developed rapidly, and network communication methods have emerged one after another. The development of social networks has further expanded the environment for public opinion dissemination. Therefore, the study of the psycho-logical factors of network users' dissemination of public opinions on the basis of new social networks has become a research hotspot in the field of cyberspace security. By analyzing the characteristics of the representative Weibo social network platforms in China, this paper summarizes classic dissemination mode of information in social networks. Based on the existing user information behavior theories and classic user information behavior models, the study analyses the factors that affect the information dissemination behavior of network users. Finally, we make an outlook on the network public opinion under the new situation. Our study is of great significance for social platform information construction, user information acquisition, and network public opinion management under the new Internet situation. © 2022 IEEE.

关键词： Information dissemination

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A Security Survey of NFV: From Causes to Practices 3

A Security Survey of NFV: From Causes to Practices

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3rd International Conference on Consumer Electronics and Computer engineering, ICCECE 2023

作者： He, Gang Liao, Xingxing Liu, Caixia School of Cyber Science and Engineering Southeast University Nanjing211189 China Purple Mountain Laboratories Nanjing211100 China National Digital Switching System Engineering and Technological R and D Center Zhengzhou450002 China Academy of Military Sciences Institute of System Engineering Beijing100091 China

ISBN: (纸本)9798350331578

Network Function Virtualization (NFV) is proposed as new technology to address massive proprietary devices, high operation costs, poor flexibility and other problems in current traditional network. By separating network functions and proprietary devices, NFV can significantly reduce operation costs and enable flexible configuration of services, etc. Now NFV is widely used in various fields. However, due to virtualization and softwareization and other technical characteristics, NFV faces more serious security threats compared to traditional networks. This paper focuses on analyzing the NFV security threats under the new technology and summarizes them according to the causes of security threats. Subsequently, based on the results of the analysis, we propose the corresponding safety practice solutions. Finally, we prospect the research directions for improving NFV security. © 2023 IEEE.

关键词： Network function virtualization

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SecMVX:Analysis on the Vulnerability of Multi-Variant Execution

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China Communications 2021年第8期18卷 85-95页

作者： Bingzheng Li Zheng Zhang Xiaomei Wang Sheng Qu Jiangxing Wu State Key Laboratory of Mathematical Engineering and Advanced Computing Zhengzhou 450001China China National Digital Switching System Engineering and Technological R&D Center Zhengzhou 450002China

As an active defenses technique,multivariant execution(MVX)can detect attacks by monitoring the consistency of heterogeneous variants with parallel *** with patch-style passive defense,MVX can defend against known and even unknown vulnerability-based attacks without relying on attack feature ***,variants generated with software diversity technologies will introduce new vulnerabilities when they execute in ***,we analyze the security of MVX theory from the perspective of formal *** we summarize the general forms and techniques for attacks against MVX,and analyze the new vulnerabilities arising from the combination of variant generation *** propose SecMVX,a secure MVX architecture and variant generation *** evaluations based on CVEs and SPEC 2006 benchmark show that SecMVX introduces 11.29%of the average time overhead,and avoids vulnerabilities caused by the improper combination of variant generation technologies while keeping the defensive ability of MVX.

关键词： multi-variant execution software diversity cyberspace security

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Network View and Cognitive Mechanism for Virtual Network resource Management Based Intelligent

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Chinese Journal of Electronics 2025年第3期23卷 574-578页

作者： Xiaochun Wu Chunming Wu Bin Wang Yaguan Qian Julong Lan Computer Science College Zhejiang University Hangzhou China Institute of Network and Communication Engineering Zhejiang Gongshang University Hangzhou China National Digital Switching System Engineering & Technology R&D Center Zhengzhou China

Network virtualization has been a particularly important driving force behind the development of NGN. Finding effective ways to control self-adapting virtual networks has become a research hot spot. This paper tries to find an efficient way in combining dynamic resource sensing with traffic character and requirements in virtual network, based on that an intelligent cognition based virtual network resources management model has been put forward. We design a network topology view by coloring network topology matrix with current resources model. We present an intelligent virtual resource management mechanism based on the proposed network topology view. Experiment results illustrate that the proposed mechanism can improve VN capacity by automatic resource adjust-ment, which can obtain high utilization of VN resources without increasing computational expenses.

关键词： Technological innovation Network topology Computational modeling Force dynamics Network resource management dynamic scheduling Sensors Virtualization Next generation networking

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On challenges of AI to cognitive security and safety

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Security and Safety 2023年第2期2卷 44-56页

作者： ruiyang Huang Xiaoqing Zheng Yuting Shang Xiangyang Xue National Digital Switching System Engineering&Technological R&D Center Zhengzhou 450002China Fudan University Shanghai 200433China

recent advances in deep learning have led to disruptive breakthroughs in artificial intelligence(AI),fueling the jump in ChatGPT-like large language models(LLMs).As with any emerging technology,it is a two-sided coin,bringing not only vast social impacts but also significant security concerns,especially in the socio-cognitive *** this back-ground,this work starts with an inherent mechanism analysis of cognitive domain games,from which it proceeds to explore the security concerns facing the cognitive domain as well as to analyze the formation mechanisms of a cognitive immune ***,inspired by behavioral mimicry in biology,this work will elaborate on new approaches to cognitive security from three aspects:Mimicry Computing,Mimicry defense,and Mimicry Intelligence.

关键词： Cognitive security Artificial intelligence Endogenous safety and security Mimicry intelligence

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Near-field Channel Estimation for dynamic Metamaterial Antenna systems 9

Near-field Channel Estimation for Dynamic Metamaterial Anten...

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9th International Conference on Computer and Communications, ICCC 2023

作者： Wang, Shifei Guo, Shuming Tang, Zhiqing Han, Gangtao Shen, Lingfeng Zhengzhou University School of Cyber Science and Engineering Zhengzhou China National Digital Switching System Engineering & Technological R&d Center Zhengzhou China Zhengzhou University School of Electrical and Information Engineering Zhengzhou China China Information Technology Designing & Consulting Institute Co. Ltd. Beijing China

ISBN: (纸本)9798350317251

The next generation of wireless technology, 6G, will likely incorporate advanced technologies such as extremely large-scale antenna arrays (ELAA) and millimeter wave (mmWave) communication. These cutting-edge features have the potential to revolutionize the way we communicate wirelessly, near-field communication (NFC) can not be ignored in future 6G mobile networks. Compared to far-field communication, the waves that propagate in the near-field region have a spherical wavefront. By utilizing the time agile of dMA and the correlation between near-field guidance vectors, we propose a novel channel estimation algorithm. Compared with the classic two-dimensional (2d) multiple signal classifier (MUSIC) algorithm, this algorithm effectively reduces computational complexity and ensures estimation accuracy. Simulation results show that the proposed channel estimation scheme achieves the expected results. © 2023 IEEE.

关键词： Metamaterial antennas

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An Incremental dynamic Community detection Algorithm Based on Node Participation 6

An Incremental Dynamic Community Detection Algorithm Based o...

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6th IEEE International Conference on Cloud Computing and Big data Analytics, ICCCBdA 2021

作者： Li, Hui Chen, Fucai Zhang, Jianpeng National Digital Switching System Engineering Technological R D Center Information Engineering University Zhengzhou China

ISBN: (纸本)9780738105338

Many networks in the real world are dynamically changing over time, and the community structure also changes accordingly. The community detection in the dynamic and constantly evolving network has received great attention from researchers. In order to uncover the community structure in the dynamic network, this paper proposes an incremental dynamic community detection algorithm based on node participation (NPICd). It defines the node participation to the community and the community fitness. In response to the changes of nodes and edges in the network, different update strategies are proposed to discover the community at different moments in an incremental manner. The experimental results on the real network show that compared with several widely used methods, our algorithm can quickly and accurately mine the community structure in the dynamic network. © 2021 IEEE.

关键词： Population dynamics

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A Topological Evolution Model Based on the Attraction of the Motif Vertex

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China Communications 2021年第4期18卷 27-39页

作者： Xing Li Shuxin Liu Yuhang Zhu Yingle Li PLA Strategic Support Force Information Engineering University Zhengzhou 450001Henan ProvinceChina National Digital Switching System Engineering and Technological R&D Center Zhengzhou 450002Henan ProvinceChina

As a fundamental problem in the field of the network science,the study of topological evolution model is of great significance for revealing the inherent dynamics and mechanisms of complex network *** order to study the influence of different scales of preferential attachment on topological evolution,a topological evolution model based on the attraction of the motif vertex is *** the perspective of network motif,this model proposes the concept of attraction of the motif vertex based on the degree of the motif,quantifies the influence of local structure on the node preferential attachment,and performs the preferential selection of the new link based on the Local World *** simulation experiments show that the model has the small world characteristic apparently,and the clustering coefficient varies with the scale of the local *** degree distribution of the model changes from power-law distribution to exponential distribution with the change of *** some cases,the piecewise power-law distribution is *** addition,the proposed model can present a network with different matching patterns as the parameters change.

关键词： complex network topological evolution model network motif

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Probabilistic constrained robust secure transmission for wireless powered heterogeneous networks

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Science China(Information Sciences) 2020年第12期63卷 84-86页

作者： Kaizhi HUANG Bo ZHANG Zhou ZHONG Yajun CHEN Xiaoming XU National Digital Switching System Engineering & Technological R&D Center Information Engineering University

dear editor,Physical-layer security (PLS) has been regarded as a prominent technique to achieve secure communications for heterogeneous networks (HetNets)with simultaneous wireless information and power transfer (SWIP... 详细信息

关键词： physical layer security simultaneous wireless information and power transfer heterogeneous networks robust beamforming convex optimization

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