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| 1 | Introduction to Wireless Endogenous Security and Safety:Problems, Attributes, Structures and Functions显示文摘The information security and functional safety are fundamental issues of wireless communications sytems.The endogenous security principle based on Dynamic Heterogeneous Redundancy provides a direction for the development of wireless communication security and safety technology.This paper introduces the concept of wireless endogenous security from the following four aspects.First,we sorts out the endogenous security problems faced by the current wireless communications system,and then analyzes the endogenous security and safety attributes of the wireless channel.After that,the endogenous security and safety structure of the wireless communications system is given,and finally the applications of the existing wireless communication endogenous security and safety functions are listed. | Liang Jin Xiaoyan Hu Yangming Lou Zhou Zhong Xiaoli Sun Huiming Wang Jiangxing Wu | 2021 | China Communications2021，18，9： | 10 |
| 2 | 一种多重冗余的工业物联网智能产线安全通信模型设计显示文摘工业物联网传统的单路传输方式无法有效保证信息传递的机密性与完整性,在通信过程中容易发生信息传输错误进而产生安全风险.本文针对工业物联网环境下智能化生产线设备间感知信息的安全通信需求,构建了一种多重冗余的工业物联网智能产线安全通信模型,提出了一种工业物联网辅助路径多重冗余传输方法,有效防止因通信节点失效而造成数据传输失败,降低了初始通信数据被整体捕获的概率,提高了通信的安全性.此外,针对安全通信模型由于特殊因素造成通信数据周期性丢失的特殊情况,本文进一步提出了一种智能产线通信缺失数据预测方法.该方法对于25个周期温度预测目标的多周期预测结果误差控制在0.15℃之内,在安全通信模型失效的特殊情况下有效预测填充了连续周期缺失通信数据,满足了工业物联网智能产线对于通信数据的完整性要求. | 李明时 马跃 尹震宇 李成蒙 柴安颖 廉梦佳 | 2021 | 小型微型计算机系统2021，42，3： | 8 |
| 3 | Mobility-Aware Partial Computation Offloading in Vehicular Networks: A Deep Reinforcement Learning Based Scheme显示文摘Encouraged by next-generation networks and autonomous vehicle systems,vehicular networks must employ advanced technologies to guarantee personal safety,reduce traffic accidents and ease traffic jams.By leveraging the computing ability at the network edge,multi-access edge computing(MEC)is a promising technique to tackle such challenges.Compared to traditional full offloading,partial offloading offers more flexibility in the perspective of application as well as deployment of such systems.Hence,in this paper,we investigate the application of partial computing offloading in-vehicle networks.In particular,by analyzing the structure of many emerging applications,e.g.,AR and online games,we convert the application structure into a sequential multi-component model.Focusing on shortening the application execution delay,we extend the optimization problem from the single-vehicle computing offloading(SVCOP)scenario to the multi-vehicle computing offloading(MVCOP)by taking multiple constraints into account.A deep reinforcement learning(DRL)based algorithm is proposed as a solution to this problem.Various performance evaluation results have shown that the proposed algorithm achieves superior performance as compared to existing offloading mechanisms in deducing application execution delay. | Jianfei Wang Tiejun Lv Pingmu Huang P.Takis Mathiopoulos | 2020 | China Communications2020，17，10： | 7 |
| 4 | Secrecy Capacity Maximization for a UAV-Assisted MEC System显示文摘Unmanned aerial vehicle(UAV)communication has attracted wide attentions in the mobile edge computing(MEC)system owing to its high-flexibility and simple operation auxiliary communication mode.Users can offload computing tasks to UAVs,which serves as edge nodes.Meanwhile,UAVs forward the tasks onto a cloud center or base station for processing,thereby shortening the implementation time of tasks.Nevertheless,the offloading links of an UAV-assisted MEC system adopt a radio broadcasting mode.Several eavesdroppers might be present in the environment to eavesdrop the data sent by users and UAVs,thereby causing significant effects on the secrecy performance.An optimized iterative algorithm is proposed in this paper to realize the maximum secrecy capacity of the MEC system and further improve the secrecy performance of an UAV-assisted MEC system and assure secrecy transmit.By doing so,the secrecy transmit problems of the two-staged offloading model of the UAV-assisted MEC system are solved.The maximum secrecy capacity of the system is obtained through joint optimization of the UAV positions,transmit power of the UAV,task offloading ratio,and allocation of offloading users considering the limited time and energy of an UAV.Simulation results demonstrate that the proposed iterative algorithm can effectively improve the secrecy capacity of the system. | Dongsheng Han Tianhao Shi | 2020 | China Communications2020，17，10： | 7 |
| 5 | Intelligent Immunity Based Security Defense System for Multi-Access Edge Computing Network显示文摘In this paper,the security problem for the multi-access edge computing(MEC)network is researched,and an intelligent immunity-based security defense system is proposed to identify the unauthorized mobile users and to protect the security of whole system.In the proposed security defense system,the security is protected by the intelligent immunity through three functions,identification function,learning function,and regulation function,respectively.Meanwhile,a three process-based intelligent algorithm is proposed for the intelligent immunity system.Numerical simulations are given to prove the effeteness of the proposed approach. | Chengcheng Zhou Yanping Yu Shengsong Yang Haitao Xu | 2021 | China Communications2021，18，1： | 3 |
| 6 | 基于深度增强学习与子流耦合感知的多路传输控制机制显示文摘为了解决多路传输中子流耦合感知缺乏与传输控制效率低下等的问题,针对未来异构、动态的网络环境,提出了一种基于耦合感知与深度Q网络的多路传输控制机制(WaveLet and Deep Q Network based multipath transmission control mechanism,WL-DQN).利用小波去噪技术,消除子流单向传输时延中由非耦合路段及系统随机产生的噪声,并基于子流互相关系数对子流耦合特性进行提取;在此基础上,依据深度增强学习理论对多路传输控制进行建模,并提出多路DQN拥塞控制算法,实现了异构、动态网络环境下的智能多路拥塞控制.仿真结果表明,所提算法在传输吞吐量、传输时延、数据包重传避免等方面均优于标准及相似的代表性解决方案. | 秦久人 许长桥 杨树杰 高楷 张宏科 | 2022 | 电子学报2022，50，2： | 3 |
| 7 | 基于DNN卷积核分割的边缘协作推理性能分析显示文摘随着智能芯片在边缘终端设备的普及,未来大量的AI应用将部署在更靠近数据源的网络边缘。基于DNN的分割方法可以实现深度学习模型在资源受限的终端设备上训练和部署,解决边缘AI算力瓶颈问题。在传统基于工作负载的分割方案(WPM,workload based partition method)的基础上,提出基于卷积核的分割方案(KPM,kernelbasedpartitionmethod),分别从计算量、内存占用、通信开销3个方面进行推理性能的定量分析,并从推理过程灵活性、鲁棒性、隐私性角度进行定性分析。最后搭建软硬件实验平台,使用PyTorch实现Alex Net和VGG11网络进一步验证所提方案在时延和能耗方面的性能优势,相比于传统工作负载分割方案,所提卷积核分割方案在大规模计算场景下有更好的DNN推理加速效果,且具有更低的内存占用和能量消耗。 | 郅佳琳 滕颖蕾 张新阳 牛涛 宋梅 | 2022 | 物联网学报2022，6，4： | 2 |
| 8 | A Safe and Reliable Routing Mechanism of LEO Satellite Based on SDN显示文摘Satellite networks have high requirements for security and data processing speed.In order to improve the reliability of the network,software-defined network(SDN)technology is introduced and a central controller is set in the network.Due to the characteristics of global perspective,control data separation,and centralized control of SDN,the idea of SDN is introduced to the design of the satellite network model.As a result,satellite nodes are only responsible for data transmission,while the maintenance of the links and the calculation of routes are implemented by the controller.For the massive LEO satellite network based on SDN,a state evaluation decision routing mechanism is proposed.The designed mechanism monitors the status of the entire network effectively and reduces the on-board load on the satellite network.The best routing decision is made under the comprehensive consideration of the current and historical status of each inter-satellite link between Low Earth Orbit(LEO)satellite network nodes.The calculation and storage requirements are controlled within a reasonable range.Based on the curve parameter transmission fuzzy encryption algorithm,a safe and reliable condition assessment decision routing mechanism(CADRM)is designed.It ensures that the personal information of the LEO satellite network can be transmitted safely and effectively.The experimental simulation results show the improvement of network throughput,the reduction of packet loss rate and the enhancing of network reliability. | Chao Guo Juan Guo Chanjuan Yu Zhaobin Li Cheng Gong Abdul Waheed | 2020 | Computers, Materials & Continua2020，，7： | 1 |
| 9 | 基于数据驱动的云边智能协同综述显示文摘随着物联网(IoT)的快速发展,大量在传感器等边缘场景产生的数据需要传输至云节点处理,这带来了极大的传输成本和处理时延,而云边协同为这些问题提供了有效的解决方案。首先,在全面调查和分析云边协同发展过程的基础上,结合当前云边智能协同中的研究思路与进展,重点分析和讨论了云边架构中的数据采集与分析、计算迁移技术以及基于模型的智能优化技术;其次,分别从边缘端和云端深入分析了各种技术在云边智能协同中的作用及应用,并探讨了云边智能协同技术在现实中的应用场景;最后,指出了云边智能协同目前存在的挑战及未来的发展方向。 | 田鹏新 司冠南 安兆亮 李建辛 周风余 | 2023 | 计算机应用2023，43，10： | 1 |
| 10 | 改进纹理模糊筛选下煤矸石X射线图像处理显示文摘煤矿与矸石的自动分选是一种非接触、实时式的筛选过程,是煤矿生产的重要步骤,可以有效提高能源利用率并减少环境污染。但现有的煤块与煤矸石图像识别与分选技术大多采用Laplacian算子法,导致提取的图像纹理差异较小,识别效果不佳。本文以X射线图像技术为核心进行图像采集,对采集到的煤矿与矸石的图像进行滤波、二值化处理,降低图像噪点。在预处理后的图像中进行纹理提取,获取煤矿与矸石的纹理特征。利用Prewitt算子法计算目标图像的纹理度和灰度峰值,据此提出煤与矸石的识别值,确定煤石分离的灰度阈值,依据灰度阈值实现煤与矸石的分选。实验结果证明,本文所使用的Prewitt算子法提取出的煤与矸石的灰度差异更大,提高了实现煤与矸石的识别效果。 | 申利飞 田子建 白林绪 | 2022 | 激光与红外2022，52，7： | 0 |
| 11 | An Overview of Privacy Preserving Schemes for Industrial Internet of Things显示文摘The concept of Internet of Everything is like a revolutionary storm,bringing the whole society closer together.Internet of Things(IoT)has played a vital role in the process.With the rise of the concept of Industry 4.0,intelligent transformation is taking place in the industrial field.As a new concept,an industrial IoT system has also attracted the attention of industry and academia.In an actual industrial scenario,a large number of devices will generate numerous industrial datasets.The computing efficiency of an industrial IoT system is greatly improved with the help of using either cloud computing or edge computing.However,privacy issues may seriously harmed interests of users.In this article,we summarize privacy issues in a cloud-or an edge-based industrial IoT system.The privacy analysis includes data privacy,location privacy,query and identity privacy.In addition,we also review privacy solutions when applying software defined network and blockchain under the above two systems.Next,we analyze the computational complexity and privacy protection performance of these solutions.Finally,we discuss open issues to facilitate further studies. | Yan Huo Chun Meng Ruinian Li Tao Jing | 2020 | China Communications2020，17，10： | 0 |
| 12 | Online Optimization of Physical-Layer Secure Computation Offloading in Dynamic Environments显示文摘Mobile edge computing can provide powerful computation services around the end-users.However,given the broadcast nature of wireless transmissions,offloading the computation tasks via the uplink channels would raise serious security concerns.This paper proposes an online approach to jointly optimize local processing,transmit power,and task offloading decisions without the a-priori knowledge of the dynamic environments.The proposed approach can guarantee the secure offloading and asymptotically minimize the time-average energy consumption of devices while maintaining the stability of the ergodic secrecy queues and task queues.By exploiting the Lyapunov optimization,the local processing,transmit power,and task offloading variables can be decoupled between time slots.The subproblems on local processing and computation offloading can be solved separately.Convex optimization and graph matching can be used to solve the computation offloading subproblem.Simulations show that the performances of the proposed approach are superior to other popular approaches. | Chenshan Ren Wei Song Lizhi Zhao Xiaobing Zhao | 2020 | China Communications2020，17，10： | 0 |
| 13 | A Task-Resource Joint Management Model with Intelligent Control for Mission-Aware Dispersed Computing显示文摘Dispersed computing can link all devices with computing capabilities on a global scale to form a fully decentralized network,which can make full use of idle computing resources.Realizing the overall resource allocation of the dispersed computing system is a significant challenge.In detail,by jointly managing the task requests of external users and the resource allocation of the internal system to achieve dynamic balance,the efficient and stable operation of the system can be guaranteed.In this paper,we first propose a task-resource joint management model,which quantifies the dynamic transformation relationship between the resources consumed by task requests and the resources occupied by the system in dispersed computing.Secondly,to avoid downtime caused by an overload of resources,we introduce intelligent control into the task-resource joint management model.The existence and stability of the positive periodic solution of the model can be obtained by theoretical analysis,which means that the stable operation of dispersed computing can be guaranteed through the intelligent feedback control strategy.Additionally,to improve the system utilization,the task-resource joint management model with bi-directional intelligent control is further explored.Setting control thresholds for the two resources not only reverse restrains the system resource overload,but also carries out positive incentive control when a large number of idle resources appear.The existence and stability of the positive periodic solution of the model are proved theoretically,that is,the model effectively avoids the two extreme cases and ensure the efficient and stable operation of the system.Finally,numerical simulation verifies the correctness and validity of the theoretical results. | Chengcheng Zhou Chao Gong Hongwen Hui Fuhong Lin Guangping Zeng | 2021 | China Communications2021，18，10： | 0 |
| 14 | A Novel Edge Computing Based Area Navigation Scheme显示文摘The area navigation system,discussed in this paper,is composed of ground responders and a navigation terminal and can position a high-velocity aircraft and measure its velocity.This navigation system is silent at ordinary times.It sends out a request signal when positioning is required for an aircraft,and then the ground responders send a signal for resolving the aircraft.Combining the direct sequence spread spectrum and frequency hopping,the concealed communication mode is used in the whole communication process,with short communication pulses as much as possible,so the system has strong concealment and anti-interference characteristics.As the transmission delay is apparent in the response communication mode,there is a big error where the common navigation algorithm is used for the positioning and velocity measurement of a high-velocity aircraft.In this paper,a new algorithm is proposed,which can eliminate the influence of response communication delay on the positioning of a high-velocity moving target to realize the precise positioning and velocity measurement of a high-velocity aircraft. | Jianzhong Qi Qingping Song Jim Feng | 2020 | Computers, Materials & Continua2020，，12： | 0 |
| 15 | Software-Defined Space-Air-Ground Integrated Network Architecture with the Multi-Layer Satellite Backbone Network显示文摘Under the background of the rapid development of ground mobile communication,the advantages of high coverage,survivability,and flexibility of satellite communication provide air support to the construction of space information network.According to the requirements of the future space information communication,a software-defined Space-Air-Ground Integrated network architecture was proposed.It consisted of layered structure satellite backbone network,deep space communication network,the stratosphere communication network and the ground network.The Space-Air-Ground Integrated network was supported by the satellite backbone network.It provided data relay for the missions such as deep space exploration and controlled the deep-space spacecraft when needed.In addition,it safeguarded the anti-destructibility of stratospheric communication and assisted the stratosphere to supplement ground network communication.In this paper,algorithm requirements of the congestion control and routing of satellite backbone protocols for heterogeneous users’services were proposed.The algorithm requirements of distinguishing different service objects for the deep space communication and stratospheric communication network protocols were described.Considering the realistic demand for the dynamic coverage of the satellite backbone network and node cost,the multi-layer satellite backbone network architecture was constructed.On this basis,the proposed Software-defined Space-Air-Ground Integrated network architecture could be built as a large,scalable and efficient communication network that could be integrated into space,air,and ground. | Chao Guo Cheng Gong Juan Guo Zhanzhen Wei Yanyan Han Sher Zaman Khan | 2020 | Computers, Materials & Continua2020，，7： | 0 |
| 16 | 基于三方生成对抗网络的隐蔽通信方法显示文摘针对隐蔽通信中隐蔽信息的传输隐蔽性与解调准确性联合优化问题,设计了一种新型三方生成对抗网络(TripartiteGAN),提出了基于该神经网络的隐蔽通信方法,并给出理论性能分析。TripartiteGAN隐蔽通信方法从幅度和相位等维度对经传统数字调制后的隐蔽信号进行优化,使最终生成的隐蔽信号与公开的合法信号叠加发送后,其信号分布逼近仅存在合法信号时的分布。该方法可以应对利用神经网络进行信号监测的侦听方,此侦听方不需要发送方功率特征先验信息,不需要人为确定检测阈值。仿真实验结果表明,在加性白高斯噪声信道下,所提TripartiteGAN隐蔽通信方法在保证隐蔽信息接收方解调准确率的同时,可使侦听方判决当前信号是隐蔽信号或合法信号的概率均逼近0.5。该方法的解调准确率和隐蔽性均优于现有基于生成对抗网络的隐蔽通信方法。 | 于季弘 林子砚 叶能 杨凯 安建平 | 2023 | 通信学报2023，44，11： | 0 |
| 17 | Resource Allocation in Edge-Computing Based Wireless Networks Based on Differential Game and Feedback Control显示文摘In this paper,we have proposed a differential game model to optimally solve the resource allocation problems in the edge-computing based wireless networks.In the proposed model,a wireless network with one cloud-computing center(CC)and lots of edge services providers(ESPs)is investigated.In order to provide users with higher services quality,the ESPs in the proposed wireless network should lease the computing resources from the CC and the CC can allocate its idle cloud computing resource to the ESPs.We will try to optimally allocate the edge computing resources between the ESPs and CC using the differential game and feedback control.Based on the proposed model,the ESPs can choose the amount of computing resources from the CC using feedback control,which is affected by the unit price of computing resources controlled by the CC.In the simulation part,the optimal allocated resources for users’services are obtained based on the Nash equilibrium of the proposed differential game.The effectiveness and correctness of the proposed scheme is also verified through the numerical simulations and results. | Ruijie Lin Haitao Xu Meng Li Zhen Zhang | 2020 | Computers, Materials & Continua2020，，8： | 0 |
| 18 | Comprehensive Information Security Evaluation Model Based on Multi-Level Decomposition Feedback for IoT显示文摘The development of the Internet of Things(IoT)calls for a comprehensive in-formation security evaluation framework to quantitatively measure the safety score and risk(S&R)value of the network urgently.In this paper,we summarize the architecture and vulnerability in IoT and propose a comprehensive information security evaluation model based on multi-level decomposition feedback.The evaluation model provides an idea for information security evaluation of IoT and guides the security decision maker for dynamic protection.Firstly,we establish an overall evaluation indicator system that includes four primary indicators of threat information,asset,vulnerability,and management,respectively.It also includes eleven secondary indicators of system protection rate,attack detection rate,confidentiality,availability,controllability,identifiability,number of vulnerabilities,vulnerability hazard level,staff organization,enterprise grading and service continuity,respectively.Then,we build the core algorithm to enable the evaluation model,wherein a novel weighting technique is developed and a quantitative method is proposed to measure the S&R value.Moreover,in order to better supervise the performance of the proposed evaluation model,we present four novel indicators includes residual risk,continuous conformity of residual risk,head-to-tail consistency and decrease ratio,respectively.Simulation results show the advantages of the proposed model in the evaluation of information security for IoT. | Jinxin Zuo Yueming Lu Hui Gao Ruohan Cao Ziyv Guo Jim Feng | 2020 | Computers, Materials & Continua2020，，10： | 0 |
| 19 | A Novel GLS Consensus Algorithm for Alliance Chain in Edge Computing Environment显示文摘Edge computing devices are widely deployed.An important issue that arises is in that these devices suffer from security attacks.To deal with it,we turn to the blockchain technologies.The note in the alliance chain need rules to limit write permissions.Alliance chain can provide security management functions,using these functions to meet the management between the members,certification,authorization,monitoring and auditing.This article mainly analyzes some requirements realization which applies to the alliance chain,and introduces a new consensus algorithm,generalized Legendre sequence(GLS)consensus algorithm,for alliance chain.GLS algorithms inherit the recognition and verification efficiency of binary sequence ciphers in computer communication and can solve a large number of nodes verification of key distribution issues.In the alliance chain,GLS consensus algorithm can complete node address hiding,automatic task sorting,task automatic grouping,task node scope confirmation,task address binding and stamp timestamp.Moreover,the GLS consensus algorithm increases the difficulty of network malicious attack. | Huijuan Wang Jiang Yong Qingwei Liu Alan Yang | 2020 | Computers, Materials & Continua2020，，10： | 0 |
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