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QoS-Aware Offloading Based on Communication-Computation Resource Coordination for 6G Edge Intelligence

China Communications 2023年第3期20卷 236-251页

作者： Chaowei Wang Xiaofei Yu Lexi Xu Fan Jiang Weidong Wang Xinzhou Cheng School of Electronic Engineering Beijing University of Posts and TelecommunicationsBeijing 100876China Shaanxi Key Laboratory of Information Communication Network and Security Xi’an University of Posts and TelecommunicationsXi’an 710121China Research Institute China United Network Communications CorporationBeijing 100048China

Driven by the demands of diverse artificial intelligence(AI)-enabled application,Mobile Edge computing(MEC)is considered one of the key technologies for 6G edge *** this paper,we consider a serial task model and design a quality of service(QoS)-aware task offloading via communication-computation resource coordination for multi-user MEC systems,which can mitigate the I/O interference brought by resource reuse among virtual *** we construct the system utility measuring QoS based on application latency and user devices’energy *** also propose a heuristic offloading algorithm to maximize the system utility function with the constraints of task priority and I/O *** results demonstrate the proposed algorithm’s significant advantages in terms of task completion time,terminal energy consumption and system resource utilization.

关键词： mobile edge computing serial task of-floading computation partitioning 6G edge intelli-gence I/O interference

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A Concatenated Mapping ZC Sequences Based Large-Capacity Grant-Free Random Access Preamble Design Method for Satellite Internet of Things 7

A Concatenated Mapping ZC Sequences Based Large-Capacity Gra...

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7th IEEE International Conference on Electronic Information and Communication Technology, ICEICT 2024

作者： Ma, Mingke Zhen, Li Li, Shuchang Pei, Chenchen Qin, Hao Xi'an University of Posts and Telecommunications Shaanxi Key Laboratory of Information Communication Network and Security Xi'an China Xidian University School of Telecommunication Engineering Xi'an China

ISBN: (纸本)9798350384437

Satellite communication has garnered widespread attention due to its wide coverage and flexible deployment, and is expected to be a promising solution for achieving reliable access of ubiquitous Internet of Things (IoT) devices. Given the efficiency of grant-free random access (GF-RA) in massive machine-type communications, this paper investigates the preamble sequence design and detection issue for GF-RA in satellite-based IoT. Specifically, a concatenated mapping preamble is designed by concatenating orthogonal Zadoff-Chu (ZC) sequences and multiple root ZC sequences processed through Kronecker product operations, which can effectively reduce the collision probability of preambles and further improve the detection performance of active users. In particular, the proposed method remarkably expands the capacity of the preamble set, thereby the users colliding in orthogonal sequences can be identified by detecting non-orthogonal sequences. Furthermore, we propose a two-stage multi-user detection method and theoretically derive the success detection probability of active users. Simulation results show that our proposed method can have a notable improved detection performance as compared to the existing ones. © 2024 IEEE.

关键词： active user detection concatenated mapping preambles grant-free random access Internet of Things (IoT) Satellite communication

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Channel Capacity Analysis for Diffusive Molecular Communication with a Partly Covered Comprehensive Reactive Receiver

Channel Capacity Analysis for Diffusive Molecular Communicat...

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2022 International Conference on networking and network Applications, NaNA 2022

作者： Zhu, Junning Liao, Xuening Wu, Zhenqiang Key Laboratory of Modern Teaching Technology Ministry of Education Xi’an China School of Computer Science Shaanxi Normal University Xi’an China Shaanxi Key Laboratory for Network Computing and Security Shaanxi Xi’an710048 China

ISBN: (数字)9781665461313

ISBN: (纸本)9781665461313

Molecular communication (MC) is a technology that utilizes microscopic particles such as molecules to communicate at the microscopic scale in living organisms. The nanomachine receiver as a critical part of MC has been extensively investigated. However, existing analyses of nanomachine receivers rarely consider the effects of various chemical reactions. In the few papers that considered the effect of chemical reaction on the channel, the effect of receptor coverage on the receiver surface was also not considered. To fill this gap, this paper studies the variation of channel capacity with coverage rate when the surface of the nanomachine receiver is partially covered with the receptors. This paper derived numerical results of channel capacity under the scenarios above and carried out the numerical simulations. The simulation results show that the channel capacity increases with the increase of coverage, which can guide the design of high-performance nanomachines. © 2022 IEEE.

关键词： Reaction rates

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TCS security Analysis in Intel SGX Enclave MultiThreading

TCS Security Analysis in Intel SGX Enclave MultiThreading

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2022 International Conference on networking and network Applications, NaNA 2022

作者： Zhang, Tong Cui, Xiangjie Wang, Yichuan Du, Yanning Gao, Wen School of Computer Science and Engineering Xi'an University of Technology Xi'an China Shaanxi Key Laboratory for Network Computing and Security Technology China

ISBN: (数字)9781665461313

ISBN: (纸本)9781665461313

With the rapid development of Internet Technology in recent years, the demand for security support for complex applications is becoming stronger and stronger. Intel Software Guard Extensions (Intel SGX) is created as an extension of Intel Systems to enhance software security. Intel SGX allows application developers to create so-called enclave. Sensitive application code and data are encapsulated in Trusted Execution Environment (TEE) by enclave. TEE is completely isolated from other applications, operating systems, and administrative programs. Enclave is the core structure of Intel SGX Technology. Enclave supports multi-threading. Thread Control Structure (TCS) stores special information for restoring enclave threads when entering or exiting enclave. Each execution thread in enclave is associated with a TCS. This paper analyzes and verifies the possible security risks of enclave under concurrent conditions. It is found that in the case of multithread concurrency, a single enclave cannot resist flooding attacks, and related threads also throw TCS exception codes. © 2022 IEEE.

关键词： Floods

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TAKAP: A Lightweight Three-Party Authenticated key Agreement Protocol with User Anonymity

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Chinese Journal of Electronics 2021年第4期30卷 686-696页

作者： QIAO Hui DONG Xuewen SHEN Yulong LIU Haozhe YANG Lingxiao School of Computer Science and Technology Xidian University Shaanxi Key Laboratory of Network and System Security Xidian University

The three-party authenticated key agreement protocol is a significant cryptographic mechanism for secure communication, which encourages two entities to authenticate each other and generate a shared session key with the assistance of a trusted party(remote server) via a public channel. Recently, Wang et al. put forward a three-party key agreement protocol with user anonymity and alleged that their protocol is able to resist all kinds of attacks and provide multifarious security features in Computer Engineering & Science, No.3, ***, we show that Wang et al.'s protocol is vulnerable to the password guessing attack and fails to satisfy user anonymity and perfect secrecy. To solve the aforementioned problems, a lightweight chaotic mapbased Three-party authenticated key agreement protocol(short for TAKAP) is proposed, which not only could provide privacy protection but also resist a wide variety of security attacks. Furthermore, it is formally proved under Burrows-Abadi-Needham(BAN) logic. Simultaneously,the performance analysis in this paper demonstrates that the proposed TAKAP protocol is more secure and efficient compared with other relevant protocols.

关键词： Three-party Authenticated key agreement Chaotic map Anonymity security attacks

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Review of Static Image Compression Algorithms 7

Review of Static Image Compression Algorithms

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7th IEEE Advanced Information Technology, Electronic and Automation Control Conference, IAEAC 2024

作者： Liang, Yanxia Jia, Tong Li, Na Liu, Xin Jiang, Jing Lu, Guangyue Zhao, Meng Xi'an University of Posts and Telecommunications Shaanxi Key Laboratory of Information Communication Network and Security Xi'an China Xi'an Eurasia University College of Information Engineering Xi'an China

ISBN: (纸本)9798350339161

With the increasing development of digital image communication technology, the requirements for image quality, such as texture details, color levels, and dynamic range, are gradually increasing. This presents unprecedented challenges to the tradeoff between the reliability and effectiveness of image compression technology. Static image compression standards are an integration of phased research achievements in image compression algorithms and provide guidance for the study of image compression. Firstly, static image compression algorithms are introduced in three types: discrete cosine transform (DCT) coding-based methods, prediction coding-based methods, and discrete wavelet transform (DWT) coding-based methods, based on the existing literatures and the latest achievements. The basic idea is elaborated for each typical algorithm. Secondly, the advantages and disadvantages of these algorithms are analyzed, compared, and summarized. Thirdly, research on static image compression in the past three years is detailed and analyzed, which is divided into three technical fields: image steganography, high fidelity image processing, and optimization of image processing performance. Finally, the challenges in each field are proposed as well. Some potential future research work is advised. © 2024 IEEE.

关键词： Discrete wavelet transforms

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A Multi-Exposure Generation and Fusion Method for Low-Light Image Enhancement

A Multi-Exposure Generation and Fusion Method for Low-Light ...

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International Joint Conference on Neural networks (IJCNN)

作者： Haiyan Jin Long Li Haonan Su YuanLin Zhang ZhaoLin Xiao Bin Wang Faculty of Computer Science and Engineering Xi’an University of Technology Shaanxi Key Laboratory for Network Computing and Security Technology

ISBN: (数字)9798350359312

ISBN: (纸本)9798350359329

In the low light image enhancement, single exposure images contains a limited dynamic range, which hinders the restoration of contrast and texture. To address these problems, we propose a multi exposure generation and fusion method (MEGF) which simulates multi exposure images and perform feature fusion and enhancement on these images. First, we propose a Multi-Exposure Generation (MEG) method, which constructs the Gaussian Distribution for each exposure level based on multi exposure datasets. MEG can generate images with different exposure levels based on the constructed distribution. Then, the Perceptual Importance based Multi-Exposure Feature Enhancement (PIMEFE) block is developed to fuse the feature of generated multi exposure images using VGG-16 network. Before fusion, the generated images are input to Multi Scale Recursive Feature Enhancement (MSRFE) blocks and obtain the denoised and enhanced features. Finally, the fused feature are input to Curve Adjustment (CA) block for fine tuning and provide the color enhancement on fusion features. We propose the Multiple Exposure Recursive Fusion (MERF) block which estimates the adjusting factors for CA block. Experimental results demonstrate that our method outperforms other techniques in both subjective and objective evaluations on real and synthetic datasets.

关键词： Image color analysis Fuses Neural networks Gaussian distribution Dynamic range Image restoration Image enhancement

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MMH-FE:AMulti-Precision and Multi-Sourced Heterogeneous Privacy-Preserving Neural network Training Based on Functional Encryption

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Computers, Materials & Continua 2025年第3期82卷 5387-5405页

作者： Hao Li Kuan Shao Xin Wang Mufeng Wang Zhenyong Zhang The State Key Laboratory of Public Big Data College of Computer Science and TechnologyGuizhou UniversityGuiyang550025China Key Laboratory of Computing Power Network and Information Security Ministry of EducationShandong Computer Science CenterQilu University of Technology(Shandong Academy of Sciences)Jinan250014China China Industrial Control Systems Cyber Emergency Response Team Beijing100040China

Due to the development of cloud computing and machine learning,users can upload their data to the cloud for machine learning model ***,dishonest clouds may infer user data,resulting in user data *** schemes have achieved secure outsourced computing,but they suffer from low computational accuracy,difficult-to-handle heterogeneous distribution of data from multiple sources,and high computational cost,which result in extremely poor user experience and expensive cloud computing *** address the above problems,we propose amulti-precision,multi-sourced,andmulti-key outsourcing neural network training ***,we design a multi-precision functional encryption computation based on Euclidean ***,we design the outsourcing model training algorithm based on a multi-precision functional encryption with multi-sourced ***,we conduct experiments on three *** results indicate that our framework achieves an accuracy improvement of 6%to 30%.Additionally,it offers a memory space optimization of 1.0×2^(24) times compared to the previous best approach.

关键词： Functional encryption multi-sourced heterogeneous data privacy preservation neural networks

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A generalized reliability analysis of 3-ary n-cubes 16

A generalized reliability analysis of 3-ary n-cubes

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16th International Conference on Communication Software and networks, ICCSN 2024

作者： Bai, Zefang Wang, Guijuan Ma, Meijie School of Mathematics and Statistics Jinan250353 China Key Laboratory of Computing Power Network and Information Security Ministry of Education Shandong Computer Science Center Jinan250353 China Shandong Fundamental Research Center for Computer Science Shandong Provincial Key Laboratory of Industrial Network and Information System Security Jinan250353 China

ISBN: (纸本)9798331506322

Evaluating the reliability of interconnection networks is crucial. The edge-connectivity is a parameter used to assess reliability. In this paper, we discuss a conditional edge-connectivity called the h-extra g-component edge-connectivity. It combines the extra edge-connectivity and the component edge-connectivity. First, this paper proved that c λ3h(Qn3)=4nh-4eh(Qn3)-h for 1 ≤ h ≤ 3(1/2), n ≥ 3. Then, the paper given the upper bound of h-extra g-component edge-connectivity of the 3-ary n-cubes for g ∞ {4,3c3+1}, 1 ≤ c≤ [n/2] -1, n ≥ 3. © 2024 IEEE.

关键词： Interconnection networks (circuit switching)

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An attention-based cascade R-CNN model for sternum fracture detection in X-ray images

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CAAI Transactions on Intelligence Technology 2022年第4期7卷 658-670页

作者： Yang Jia Haijuan Wang Weiguang Chen Yagang Wang Bin Yang School of Computer Xi'an University of Posts and TelecommunicationsXi'anShaanxiChina Shaanxi Key Laboratory of Network Data Intelligent Processing Xi'an University of Posts and TelecommunicationsXi'anShaanxiChina Xi'an Key Laboratory of Big Data and Intelligent Computing Xi'anShaanxiChina Department of Radiology Xi'an Honghui HospitalXi'anChina

Fracture is one of the most common and unexpected *** not treated in time,it may cause serious consequences such as joint stiffness,traumatic arthritis,and nerve *** computer vision technology to detect fractures can reduce the workload and misdiagnosis of fractures and also improve the fracture detection ***,there are still some problems in sternum fracture detection,such as the low detection rate of small and occult *** this work,the authors have constructed a dataset with 1227 labelled X-ray images for sternum fracture *** authors designed a fully automatic fracture detection model based on a deep convolution neural network(CNN).The authors used cascade R-CNN,attention mechanism,and atrous convolution to optimise the detection of small fractures in a large X-ray image with big local *** authors compared the detection results of YOLOv5 model,cascade R-CNN and other state-of-the-art *** authors found that the convolution neural network based on cascade and attention mechanism models has a better detection effect and arrives at an mAP of 0.71,which is much better than using the YOLOv5 model(mAP=0.44)and cascade R-CNN(mAP=0.55).

关键词： attention mechanism cascade R-CNN fracture detection X-ray image

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