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Secure Localization technology Based on Dynamic Trust Management in Wireless Sensor networks

Chinese Journal of Electronics 2021年第4期30卷 759-768页

作者： LI Peng YU Xiaotian XU He WANG Ruchuan School of Computer Science and Technology Nanjing University of Posts and Telecommunications Jiangsu High Technology Research Key Laboratory for Wireless Sensor Networks

Wireless sensor networks have critical applications in various fields, and the algorithm of their secure localization has become a vital technology to support a network. In the light of the self-organization, random deployment and dynamic topology, the localization process is vulnerable to various kinds of malicious attacks. The model of dynamic trust management for a given node is proposed to deal with security concerns in wireless sensor networks. The trust computation is divided into three stages, which are the stage of trust initialization,trust establishment, and trust evolution. The initial value of a global trust relationship is established through a corresponding global trust relation graph in the initial stage of trust. The trust value of each node is calculated by the attribute value in the stage of trust establishment. In the evolution of trust, the iterative process of trust value is accelerated via the finite state machine. Compared with the existing wireless sensor networks, simulation results show that the proposed security localization technology method can resist many kinds of attacks with low communication and time consumption.

关键词： Wireless sensor networks Secured localization Dynamic trust management Finite state machines

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An edge enhancement-based fusion method of infrared and visible images in low light 2

An edge enhancement-based fusion method of infrared and visi...

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2nd IEEE International Conference on Signal, Information and Data Processing, ICSIDP 2024

作者： Gao, Xiang Wang, Xiyan Bao, Hanbin Li, Qian Lv, Guohua Bresee Technology Co. Ltd. Jinan China Shandong Grain Group Co. Ltd. Jinan China Jinan China Faculty of Comupter Science and Technology Jinan China Shandong Fundamental Research Center for Computer Science Shandong Provincial Key Laboratory of Computer Networks Jinan China

ISBN: (纸本)9798331515669

The combination of infrared and visible images can result in the generation of a single image with a high degree of detail and important targets in a variety of scenes, which is beneficial for human recognition. However, in low-light environments, low-intensity visible images tend to blur valuable information, which is often overlooked. This results in the loss of important information. While existing methods address the issue of low illumination and highlight the illumination, a considerable amount of structural information is lost when adjusting illumination, resulting in the omission of texture details. To solve aforementioned problems, we proposes a method for edge enhancement in low-illumination scenes. This approach aims to minimise the loss of edge information while simultaneously enhancing the illumination, thereby producing fusion images with enhanced texture detail. The initial step involves the design of an illumination enhancement module, which is employed to segregate the compromised illumination present from the scene information. Given the fact that image edge information has the capacity for effective structural modeling, a low-light visible image edge extraction network is designed to model structural information, which can accurately highlight important structural information and insert it in fused images. The results produced by this method have better visual perception and minimize structural loss. Extensive experiments demonstrate that the method outperforms SOTA methods in term of visual quality and quantitative metrics. © 2024 IEEE.

关键词： Image fusion

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Multi-Request Data Cache Optimization Strategy in Edge Computing 26

Multi-Request Data Cache Optimization Strategy in Edge Compu...

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26th ACIS International Winter Conference on Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing, SNPD-Winter 2023

作者： Wang, Futian Wu, Zhimin Tang, Jin Li, Chenglong Zhang, Cheng School of Computer Science and Technology Anhui University Anhui Provincial Key Laboratory of Multimodal Cognitive Computation Hefei China School of Computer Science and Technology Anhui University Hefei China Institute of Artificial Intelligence Anhui University Hefei China

ISBN: (纸本)9798350345865

With the rapid growth in the number of mobile devices, more and more data is created and requested by users. By caching the data to the edge server, users can obtain the content they request in a closer place, which reduces the network load and improves the user experience. However, existing articles only focus on a single request of users, while users often request multiple content at one time, which leads to more complex caching scenarios. In this paper, we will study an edge data cache scenario with multiple requests, and design a cost function to optimize the cache results. In this paper, we formulate the data cache problem as a mixed integer programming problem and minimize our cost function. Extensive experiments are conducted on a real-world dataset that contains the locations of edge servers and mobile users, and the results reveal that our approach significantly outperform the baseline approaches. © 2023 IEEE.

关键词： Cost functions

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BAV-DSS: Blockchain Assisted Verifiable Data Sharing Scheme with Fast Encryption and Outsourced Decryption for IoT 24th

BAV-DSS: Blockchain Assisted Verifiable Data Sharing Scheme ...

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24th International Conference on Algorithms and Architectures for Parallel Processing, ICA3PP 2024

作者： Huang, Yao Yu, Zhongyuan Wang, Guijuan Chai, Baobao Zhang, Hongliang Jinan250353 China Shandong Provincial Key Laboratory of Industrial Network and Information System Security Shandong Fundamental Research Center for Computer Science Jinan250353 China School of Information Science and Engineering Lanzhou University Lanzhou730000 China School of Computer Science and Engineering Shandong University of Science and Technology Qingdao266590 China

ISBN: (纸本)9789819615414

Many sophisticated cloud platforms are available to provide services such as storage and computation for Internet of Things (IoT) applications. However, with the concerns about the semi-trusted nature of cloud platforms, data security and privacy have been gaining broad attention. In this paper, we propose a blockchain-assisted verifiable data sharing scheme (BAV-DSS) for IoT. The BAV-DSS features fine-grained access control, fast encryption, and outsourced decryption with verifiability. Specifically, with the application of ciphertext-policy attribute-based encryption (CP-ABE), flexible access control is enabled. Blockchain is employed to store public keys, generate account addresses, and perform data verification. Furthermore, the selective replayable chosen ciphertext attacks (sRCCA) security of BAV-DSS is proved, and the simulation results indicate that BAV-DSS obtains high efficiency and practicality compared to other schemes. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025.

关键词： Cloud platforms

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Few-Shot Custom Speech Synthesis with Multi-Angle Fusion 8

Few-Shot Custom Speech Synthesis with Multi-Angle Fusion

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8th International Conference on Intelligent Computing and Signal Processing, ICSP 2023

作者： Zhao, Haifeng Liu, Hao Cao, Mingwei Liu, Yi Anhui University Anhui Provincial Key Laboratory of Multimodal Cognitive Computation School of Computer Science and Technology Anhui Hefei230601 China PKU-HKUST Imsl Shenzhen Key Lab Shenzhen China Anhui University School of Computer Science and Technology Hefei China

ISBN: (纸本)9798350302455

In this paper, we propose the TDNN-VITS model: an efficient custom speech synthesis system that can synthesize the speech of arbitrary target speakers, well-improving speech quality as well as reducing the amount of adaptive data. Our model consists of a speaker encoding module, which aims to extract speaker timbre information, and a TTS module, which is based on the fully end-to-end VITS model, but improved according to the problems of custom speech. To better improve the speech quality and speaker similarity, we propose a multi-angle fusion speaker embedding approach. With only 10 speech data and about one minute, good results can be achieved by just fine-tuning for half an hour. The experimental results show that our model is improved compared to the previous classical model, and good speech naturalness and speaker similarity are obtained. The ablation experiments also show the effectiveness of our multi-angle fusion. © 2023 IEEE.

关键词： Embeddings

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A Chinese Font Generation Method based on Dynamic Convolution Improved Generative Adversarial Network

A Chinese Font Generation Method based on Dynamic Convolutio...

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2024 International Conference on Culture-Oriented science and technology, CoST 2024

作者： Guo, Xuefei Zhao, Li Wu, Xiaojun Yang, Honghong Man, Yufang Shaanxi Normal University School of Computer Science Xi'an China Key Laboratory of Intelligent Computing and Service Technology for Folk Song Ministry of Culture and Tourism Xi'an China Ministry of Education Key Laboratory of Modern Teaching Technology Xi'an China

ISBN: (纸本)9798350380347

Font generation is a challenging research topic in the field of computer vision, aiming to apply the style from a reference image to a source character image. The core task of font generation is to generate images, especially complex character images, that closely resemble the style of the reference font while maintaining the original glyph structure. This paper proposes a novel font generation method based on the generation adversarial network (GAN). Firstly, a new unsupervised end-to-end Chinese font generation network is designed. Then, a Convolution-Transformer (CNNTrans) module is devised to extract style features from global and local with attention constraint. Finally, a dynamic convolutional skip connection module (DCSC) is proposed to dynamically fuse font content and style according the importance of content and style features in different positions. Experimental results demonstrate that the proposed font generation method can generate higher quality styled fonts compared to other methods. © 2024 IEEE.

关键词： Generative adversarial networks

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UAV-Aided Localization and Communication: Joint Frame Structure, Beamwidth, and Power Allocation

IEEE Journal of Selected Areas in Sensors

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IEEE Journal of Selected Areas in Sensors 2024年 1卷 154-165页

作者： Liang, Tianhao Zhang, Tingting Zhou, Sheng Liu, Wentao Li, Dong Zhang, Qinyu School of Electronics and Information Engineering Shenzhen518055 China Guangdong Provincial Key Laboratory of Space-Aerial Networking and Intelligent Sensing 518055 China Pengcheng Laboratory Shenzhen150001 China Tsinghua University Department of Electronic Engineering Beijing100084 China Macau University of Science and Technology School of Computer Science and Engineering 999078 China

In wireless sensors networks, integrating localization and communication technique is crucial for efficient spectrum and hardware utilizations. In this article, we present a novel framework of the unmanned aerial vehicle (UAV)-aided localization and communication for ground node (GN), where the average spectral efficiency (SE) is used to reveal the intricate relationship among the frame structure, channel estimation error, and localization accuracy. In particular, we first derive the lower bounds for channel estimation error and the 3-D location prediction error, respectively. Leveraging these comprehensive analysis, we formulate a problem to maximize the average SE in the UAV-GN communication, where the frame structure, beamwidth, and power allocation can be jointly optimized. Subsequently, we propose an efficient iterative algorithm to address this nonconvex problem with closed-form expressions for beamwidth design and power allocation. Numerical results demonstrate that the performance of our proposed method can approach the upper bound with low complexity, and achieve over 70% performance gain compared with communication-only benchmarks. In addition, the analysis highlights the dominated impacts of the Doppler effect on the average SE. © 2024 IEEE.

关键词： Unmanned aerial vehicles (UAV)

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An Indicator Based Evolutionary Algorithm for Multiparty Multiobjective Knapsack Problems 13th

An Indicator Based Evolutionary Algorithm for Multiparty Mu...

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13th IFIP TC 12 International Conference on Intelligent Information Processing, IIP 2024

作者： Song, Zhen Luo, Wenjian Xu, Peilan Ye, Zipeng Chen, Kesheng Guangdong Provincial Key Laboratory of Novel Security Intelligence Technologies School of Computer Science and Technology Harbin Institute of Technology Shenzhen518055 China Peng Cheng Laboratory Shenzhen518000 China School of Artificial Intelligence Nanjing University of Information Science and Technology Nanjing210044 China

ISBN: (纸本)9783031578076

As a special case of the multiobjective optimization problem, the multiobjective knapsack problem (MOKP) widely exists in real-world applications. Currently, most algorithms used to solve MOKPs assume that these problems involve only one decision maker (DM). However, some complex MOKPs often involve more than one decision makers and we call such problems multiparty multiobjective knapsack problems (MPMOKPs). Existing algorithms cannot solve MPMOKPs effectively. To the best of our knowledge, there is only a little attention paid to MPMOKPs. In this paper, inspired by existing SMS-EMOA, we propose a novel indicator-based algorithm called SMS-MPEMOA to solve MPMOKPs, which aims to search solutions to satisfy all decision makers as much as possible. SMS-MPEMOA is compared with several state-of-the-art multiparty multiobjective optimization algorithms (MPMOEAs) on the benchmarks and the experimental results demonstrate that SMS-MPEMOA is very competitive. © IFIP International Federation for Information Processing 2024.

关键词： Multiobjective optimization

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AH-TDMA: An Adaptive Heterogeneous Tridiagonal Matrix Algorithm on the New Sunway Supercomputer 29

AH-TDMA: An Adaptive Heterogeneous Tridiagonal Matrix Algori...

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

作者： Tian, Min Liu, Qi Li, Yanlong Du, Wei Ren, Zenghui Liu, Yue Qilu University of Technology Shandong Academy of Sciences Key Laboratory of Computing Power Network and Information Security Ministry of Education Shandong Computer Science Center National Supercomputer Center in Jinan China Shandong Fundamental Research Center for Computer Science Shandong Provincial Key Laboratory of Computer Networks China Jinan Institute of Supercomputing Technology Jinan Key Laboratory of High Performance Computing China

ISBN: (纸本)9798350330717

The solution of tridiagonal linear systems is used in in various fields and plays a crucial role in numerical simulations. However, there is few efficient solver for tridiagonal linear systems on the new Sunway supercomputer. Based on a three-dimensional heat conduction problem, we propose an adaptive heterogeneous tridiagonal matrix algorithm (AH-TDMA). Our major innovations include: (1) To address computational hotspots within AH-TDMA, a multi-level parallel approach involving MPI+Athread has been adopted. (2) An adaptive data partitioning scheme has been set up to achieve load balance. (3) Employing direct memory access and establishing shared space between registers and main memory, instead of employing discrete memory access, is done to enhance memory access efficiency. (4) The optimization of the loop structure has been made in adjusting the sequencing of the dual-layered loops to reduce communication overhead. The experimental results show that, with one core group, the AH-TDMA achieves a speedup of 99.6 times for hotspot and total time speedup up to 59.4 times compared to the Parallel and Scalable Library for Tridiagonal Matrix Algorithm (PaScal TDMA). The AH-TDMA is scalable up to 2048 core groups, with a parallel efficiency of 69.2%. © 2023 IEEE.

关键词： adaptive heterogeneous algorithm MPI+Athread Sunway supercomputer three-dimensional heat conduction problem tridiagonal linear systems

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Application of improved sparrow search algorithm in wave compensation

Application of improved sparrow search algorithm in wave com...

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2024 International Conference on Image, Signal Processing, and Pattern Recognition, ISPP 2024

作者： Hu, Ao Lin, Yunhan Chen, Yaojie School of Computer Science and Technology Wuhan University of Science and Technology Hubei Wuhan430065 China Hubei Provincial Key Laboratory of Intelligent Information Processing and Real Time Industrial System Wuhan University of Science and Technology Hubei Wuhan430065 China

ISBN: (纸本)9781510680425

To solve the problem of ship heave motion in harsh marine environments, which affects the positioning accuracy and safety of its robotic arm, this paper adopts a PID parameter optimization method based on Tent cold light source improved sparrow search ***, utilizing Tent chaotic mapping to enhance the diversity of sparrow populations, and inspired by the fluorescence attraction effect in the firefly algorithm, this paper perturbs sparrows with a cold light source strategy to obtain better positions and improve their search ***, simulation experiments were conducted to optimize the PID control system using improved *** results showed that compared with the three population intelligent optimization algorithm, the improved algorithm had better convergence accuracy, system response speed, and ***, the improved algorithm was applied to the actual experiment of compensating for the heave direction at the end of a shipborne robotic *** comparison of the four algorithms in compensating for the height difference in the heave direction showed that the improved algorithm had the best heave compensation effect, reflecting the effectiveness of the algorithm in engineering *** provides a certain reference for the active compensation of swarm intelligence optimization algorithms in the heave direction of ships. © 2024 SPIE.

关键词： Robotic arms

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