检索结果-内蒙古大学图书馆

Future Communications and networks (FCN), International Conference on

作者： Xiaoting Ruan Fei Shen Feng Yan Lianfeng Shen Yi Wu Liang Tang Yu Zhao Zhiyong Bu Key Laboratory of Wireless Sensor Network and Communications Shanghai Institute of Microsystem and Information Technology Chinese Academy of Sciences Shanghai China University of Chinese Academy of Sciences Beijing China Shanghai Spacecom Satellite Technology Ltd Shanghai China National Mobile Communications Research Laboratory Southeast University Nanjing China Fujian Provincial Engineering Technology Research Center of Photoelectric Sensing Application Fujian Normal University Fuzhou China

ISBN: (数字)9798331512880

ISBN: (纸本)9798331512897

Mobile edge computing (MEC) extends cloud computing capabilities to the network edge, enabling efficient processing of compute-intensive tasks from resource-constrained devices. However, static edge servers can lead to service vulnerabilities due to dynamic user device locations. This paper introduces a vehicle edge computing (VEC) architecture, leveraging vehicles’ idle computing resources to serve as mobile edge servers for nearby vehicles. As the number of vehicles and compute-intensive tasks increases, substantial data exchanges between vehicles and edge servers raise significant security risks in VEC networks lacking security measures. To address the security challenges and manage computing resources, we integrate VEC with blockchain technology, creating a secure offloading framework. Focusing on video task offloading generated by vehicle applications, we propose a resource allocation scheme that comprehensively considers video compression, offloading decisions, bandwidth, and computational resource constraints. This scheme is formulated as a mixed, discrete, non-convex joint optimization problem aimed at maximizing system revenue. Since this type of problem is usually an NP-hard problem, discrete variable relaxation and product term replacement are applied to transform it into a convex optimization problem, and an alternating direction method of multipliers-based distributed resource allocation (ADMM-DRA) algorithm is proposed to solve it. Simulation experiments show that compared with other algorithms, ADMM-DRA can achieve the highest system revenue, effectively reduce system latency, and improve resource utilization.

关键词： Multi-access edge computing Transforms Video compression Convex functions Blockchains Resource management Servers Security Vehicle dynamics Optimization

来源：评论

学校读者我要写书评

暂无评论

A Dynamic Access Control Model Based on Attributes and Intro VAE

A Dynamic Access Control Model Based on Attributes and Intro...

引用

GLOBECOM 2022 - 2022 IEEE Global Communications Conference

作者： Xiaoyan Hu Yuelin Hu Guang Cheng Hua Wu Yifei Qin Jian Gong School of Cyber Science & Engineering Southeast University Nanjing China Purple Mountain Laboratories for Network and Communication Security Nanjing China Jiangsu Provincial Engineering Research Center of Security for Ubiquitous Network Nanjing China Research Base of International Cyberspace Governance (Southeast University) Nanjing China Jiangsu Enlink network technology Co. Ltd.

ISBN: (纸本)9781665435413

Affected by the COVID-19 pandemic, teleworking is becoming more popular, with the exposed attack surface of the internal network expanding. Once outsiders personate accounts or insiders conduct illegal operations, the data security in teleworking with traditional border protection will be broken. Therefore, it is necessary to implement fine-grained and dynamic access control to protect data from malicious access. Attribute-based access control (ABAC) is ideal, where authorization is performed through attributes and rules. On this basis, risk assessment, context awareness, and machine learning are supplemented for dynamic access control. However, these methods have their limitations due to the requirement of sufficient prior knowledge and massive label-classified data. Moreover, it is challenging to obtain the samples of attack behaviors, and the attack behaviors may change frequently to evade detection. In contrast, the normal behaviors are relatively stable except for the update of network services. We propose a dynamic access control model, ABAC-IntroVAE, to address the above issues. ABAC-IntroVAE judges users' requests through rule matching and behavior analysis based on the attributes of the requests. It first filters out requests against the rules by rule matching. Then, the introspective variational autoencoder (IntroVAE) is used for behavior analysis to realize dynamic access decisions. Requests classified as normal can be authorized for access. ABAC-IntroVAE only needs samples of normal requests for training, avoiding the difficult task of collecting massive and frequently changing samples of attack requests. Meanwhile, the IntroVAE model is updated through continual learning to adapt to new-style normal behaviors due to the update of network services. Our experiment study suggests that our proposed ABAC-IntroVAE can effectively perform dynamic access control. It achieves an accuracy of 97.2% in abnormal detection and maintains an accuracy of over 97% throug

关键词： Access control Training Matched filters Pandemics Teleworking Machine learning Behavioral sciences

来源：评论

学校读者我要写书评

暂无评论

Background Calibration in Pipelined SAR ADCs Exploiting PVT-Tracking Metastability Detector

Background Calibration in Pipelined SAR ADCs Exploiting PVT-...

引用

IEEE International Symposium on Circuits and Systems (ISCAS)

作者： Lizhen Zhang Jianhui Wu National ASIC Research Center Southeast University Nanjing China Jiangsu Provincial Key Laboratory of sensor network technology Southeast University Nanjing China

A dither-based digital background calibration exploiting metastability detector (MD) to correct capacitor mismatch error and gain error in pipelined successive approximation register (SAR) analogue-to-digital converters (ADCs) is proposed. The comparator resolving time is utilized for dither injection only when the residue is in the vicinity of the comparator threshold, thereby minimizing the loss of dynamic range. Besides, the residue amplifier is reused as a delay reference to construct the MD. By executing a dedicated delay- control calibration, the MD realizes a robustness against process, voltage, and temperature (PVT) variations. In addition, this paper also introduces the circuit design of the PVT-tracking MD. The schematic-based simulation results show that the delay- control calibration converges within thousands of decision cycles. The proposed bit-weight calibration is verified in a 14-bit pipelined SAR ADC. Behavioral simulation results show that, with calibration, the signal to noise and distortion ratio (SNDR) is improved from 58.2 to 79.1 dB and spurious-free dynamic range (SFDR) is increased from 64.5 to 97.1 dB.

关键词： Simulation Detectors Dynamic range Robustness Calibration Delays Convergence

来源：评论

学校读者我要写书评

暂无评论

Joint DBF and SAO parallel filtering based on multithread load balancing

Joint DBF and SAO parallel filtering based on multithread lo...

引用

2020 International Symposium on Automation, Information and Computing, ISAIC 2020

作者： Ma, Hao Hu, Dong Li, Yi Jiangsu Province’s Key Lab of Image Procession and Image Communications Nanjing210003 China Education Ministry’s Key Lab of Broadband Wireless Communication and Sensor Network Technology Nanjing210003 China Education Ministry’s Engineering Research Center of Ubiquitous Network and Heath Service Nanjing University of Posts and Telecommunications Nanjing210003 China

This paper presents a joint parallel loop filtering algorithm based on multi-thread load balancing in HEVC decoding, which implements the parallel processing of deblocking filtering (DBF) and sample adaptive compensation (SAO). Because of the diversity of video, the texture of different regions in an image is also different, which leads to various CTU partition methods. Therefore, the number of the boundary to be filtered is greatly different, resulting the computation load among multiple threads unbalanced in parallel processing. To solve this problem, an area division scheme is proposed, which divides the image into multiple areas, and the number of boundaries to be filtered in each area is similar. Then, the mapping relationship table is used to allocate these areas to multiple threads for parallel processing, so as to achieve the load balancing among the filtering threads. Finally, the cache technology is used to combine DBF and SAO to reduce the delay between them and improve the overall parallelism of the loop filter. Experimental results show that the performance of the proposed load balancing joint filtering algorithm is 8.15% higher than the previous scheme. © 2021 Institute of Physics Publishing. All rights reserved.

关键词： Textures

来源：评论

学校读者我要写书评

暂无评论

Scale adaptive block target tracking based on multi-layer convolution features and Kernel correlation filter

Scale adaptive block target tracking based on multi-layer co...

引用

2020 International Symposium on Automation, Information and Computing, ISAIC 2020

作者： Zhang, Ting Hu, Dong Zhang, Jing Jiangsu Province’s Key Lab of Image Procession and Image Communications Nanjing210003 China Education Ministry’s Key Lab of Broadband Wireless Communication and Sensor Network Technology Nanjing210003 China Education Ministry’s Engineering Research Center of Ubiquitous Network and Heath Service Nanjing University of Posts and Telecommunications Nanjing210003 China

Target tracking is currently a hot research topic in Computer Vision and has a wide range of use in many research fields. However, due to factors such as occlusion, fast motion, blur and scale variation, tracking method still needs to be deeply studied. In this paper, we propose a block target tracking method based on multi-convolutional layer features and Kernel correlation filter. Our method divides the tracking process into two parts: target position estimation and target scale estimation. First, we block the target frame based on the condition number. Second, we extract the features by the convolutional layer and apply it to the kernel correlation filter to get the center position of different block targets. With the reliability of different blocks measured by the Barker coefficient, the overall target position center is obtained. Then, the affine transformation is adopted to achieve the scale adaptation. The algorithm in this paper is evaluated by the public video sequences in OTB-2013. Numerous experimental results demonstrate that the proposed tracking method can achieve target scale adaptation and effectively improve the tracking accuracy. © 2021 Institute of Physics Publishing. All rights reserved.

关键词： Target tracking

来源：评论

学校读者我要写书评

暂无评论

research on Security of Key Algorithms in Intelligent Driving System

引用

Chinese Journal of Electronics 2019年第1期28卷 29-38页

作者： LIU Shangdong WU Ye JI Yimu CHEN Chen BI Qiang JIAO Zhipeng GONG Jian WANG Ruchuan School of Computer Science and Engineering Southeast University School of Computer Science Nanjing University of Posts and Telecommunications Jiangsu Provincial Key Laboratory of Computer Network Technology Jiangsu High Technology Research Key Laboratory for Wireless Sensor Networks

With the rapid development of the smart driving technology, the security of smart driving algorithms is becoming more and more important. Four core smart driving algorithms are determined by studying the architecture of smart driving algorithm. These algorithms comprise local path planning, pedestrian detection, lane detection and obstacle detection. The security issues of these algorithms are investigated by closely examining the work carried out by the algorithms. We found that there are vulnerabilities in all four algorithms. These vulnerabilities can cause abnormality and even road accidents for the smart cars. The final experiment shows that the vulnerabilities of these algorithms do exist under certain circumstances and therefore have high security risks. This study will lay a foundation to improve the security of the smart driving system.

关键词： Smart driving algorithm Local path planning Pedestrian detection Lane line detection Obstacle detection

来源：评论

学校读者我要写书评

暂无评论

research on DNS Resolution technology based on Blockchain

Research on DNS Resolution Technology based on Blockchain

引用

Chinese Automation Congress (CAC)

作者： Wang Hu-qing Zhang Ying-jiao Zhang Xu Sun Zhi-xin Post Industry Technology Research and Development Center of the State Posts Bureau(Intemet of Things Technology) Post Big Data Technology and Application Engineering Research Center of Jiangsu Province Nanjing University of Posts and Telecommunications Key Lab of Broadband Wireless Communication and Sensor Network Technology Ministry of Education Nanjing University of Posts and Telecommunications Nanjing China School of Modern Posts Nanjing University of Posts and Telecommunications Nanjing China Aahui Yougu Express Intelligent Technology Co. LTD Nanjing China

DNS completes the resolution of domain names to IP addresses, which is an effective means to realize various In-ternet applications, and is also an indispensable part of Internet infrastructure, playing an important role. However, the resolution efficiency and security of DNS have always been a hot spot in the industry. This study deeply discusses the principle of Blockchain-based DNS resolution and conducts extensive re-search on Blockchain-based DNS resolution schemes. Based on compatibility with traditional DNS, these schemes are divided into two categories: compatible and incompatible. For different scenarios, we conduct a detailed analysis and comparison, focusing on the technical characteristics and performance of each so-lution. Finally, the future research direction is looked forward to, and the full text is summarized.

关键词：

来源：评论

学校读者我要写书评

暂无评论

A siamese network tracking algorithm based on hierarchical attention mechanism

A siamese network tracking algorithm based on hierarchical a...

引用

2020 International Symposium on Automation, Information and Computing, ISAIC 2020

作者： Zhang, Hu Hu, Dong Qiu, Yingcan Jiangsu Province’s Key Lab of Image Procession and Image Communications Nanjing210003 China Education Ministry’s Key Lab of Broadband Wireless Communication and Sensor Network Technology Nanjing210003 China Education Ministry’s Engineering Research Center of Ubiquitous Network and Heath Service Nanjing210003 China Nanjing University of Posts and Telecommunications Nanjing210003 China

A siamese network tracking algorithm based on hierarchical attention mechanism is proposed in this paper. In order to obtain more robust target tracking results, different layer features are fused effectively. In the process of extracting features, attention mechanism is used to recalibrate the feature map, and AdaBoost algorithm is used to weight the target feature map, which improves the reliability of the response map. Besides, the Inception module is also introduced which not only increases the width of the network and the adaptability of the siamese network to the scale, but also reduces the parameters and improves the speed of network training. Experimental results show that this method can effectively solve the impact of background clutter and improve the accuracy of tracking. © 2021 Institute of Physics Publishing. All rights reserved.

关键词： Target tracking

来源：评论

学校读者我要写书评

暂无评论

Traffic Matrix Prediction in SDN based on Spatial-Temporal Residual Graph Convolutional network

Traffic Matrix Prediction in SDN based on Spatial-Temporal R...

引用

Chinese Control and Decision Conference, CCDC

作者： Xintong Wang Yibo Sun Xuan Wang Enliang Wang Zhixin Sun Post Big Data Technology and Application Engineering Research Center of Jiangsu Province Nanjing University of Posts and Telecommunications Nanjing P.R. China Post Industry Technology Research and Development Center of the State Posts Bureau (Internet of Things Technology) Nanjing University of Posts and Telecommunications Nanjing P.R. China Key Lab of Broadband Wireless Communication and Sensor Network Technology Ministry of Education Nanjing University of Posts and Telecommunications Nanjing P.R. China School of Information Technology and Electrical Engineering The University of Queensland Brisbane Brisbane Australia

Traffic prediction is the basis for dynamic network services and resource optimization. Software Defined networking (SDN) provides a global view for network measurement and management, and a reliable way for network information collection and network traffic prediction. Recently, SDN traffic prediction model enabled by deep learning mainly focuses on mining the temporal correlation of traffic data, while the modeling of its spatial correlation remains to be explored. From the perspective of the problem, a novel Spatial-Temporal Residual Graph Convolutional network (STRGCN) model for SDN Traffic Matrix (TM) prediction is proposed. Combined with SDN network topology, TM prediction is defined as time series data prediction in non-Euclidean space. Temporal Gated-Conv Blocks are based on Gated Convolutional Layer, and Spatial Graph-Conv Blocks are based on Graph Convolutional network (GCN). Through identity mapping between Spatial-Temporal Conv Blocks, the deep spatial and temporal features extraction is implemented. Tested by TM data from CERNET and GÉANT datasets, the accuracy and the timely performance of our model are evaluated. Experimental results suggest that the general performance of STRGCN for TM prediction in SDN is superior to the current deep learning models.

关键词：

来源：评论

学校读者我要写书评

暂无评论

Fiber to the Room: Key Technologies, Challenges, and Future Prospects

arXiv

引用

arXiv 2025年

作者： Cai, Jinhan Zhang, Xiaolong Wang, Xiang Chang, Tianhai Shen, Gangxiang Jiangsu Provincial Laboratory for Advanced Optical Transmission and Switching Networks Jiangsu New Optical Fiber Technology and Communication Network Engineering Research Center Suzhou Key Laboratory of Advanced Optical Communication Network Technology School of Electronic and Information Engineering Soochow University Jiangsu Province 215006 China Huawei Technology China

Fiber to the Room (FTTR) is a next-generation access network designed to deliver high bandwidth, low latency, and room-level optical coverage. This paper presents a comprehensive analysis of the FTTR system architecture and protocol stack, focusing on three key technical aspects: centralized scheduling and control, integrated management and maintenance, and green energy-saving mechanisms. A simplified FTTR architecture based on the convergence of the medium access control (MAC) and physical (PHY) layers is introduced to enhance coordination and scheduling efficiency. An extended remote management scheme, based on the optical network unit management and control interface (OMCI), is described to enable unified control across main fiber units (MFUs) and sub-fiber units (SFUs). Furthermore, a service-aware energy-saving framework is discussed for dynamic power optimization. The paper also explores the integration of artificial intelligence (AI) and passive sensing into FTTR systems to support intelligent scheduling, energy management, and environment-aware optimization. These insights provide technical guidance for the scalable deployment and future evolution of FTTR networks. Copyright © 2025, The Authors. All rights reserved.

关键词： Fiber to the x

来源：评论

学校读者我要写书评

暂无评论

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案：

请选择收藏分类：

通借通还

建议与咨询 留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案： 新增检索档案 确定 取消

请选择收藏分类： 新增自定义分类 确定 取消

通借通还

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

请选择保存的检索档案：

请选择收藏分类：