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Achieving 500X Acceleration for Adversarial Robustness Verification of Tree-Based Smart Grid Dynamic Security Assessment

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IEEE/CAA Journal of Automatica Sinica 2024年第3期11卷 800-802页

作者： Chao Ren Chunran Zou zehui xiong Han Yu Zhao-Yang Dong Niyato Dusit Nanyang Technological University Singapore 639798Singapore Nanjing University of Aeronautics and Astronautics Nanjing 211106China Singapore University of Technology and Design Singapore 487372Singapore

Dear Editor,This letter presents a novel and efficient adversarial robustness verification method for tree-based smart grid dynamic security assessment(DSA).Based on tree algorithms technique,the data-driven smart gri... 详细信息

关键词： Smart smart Dynamic

A trustless architecture of blockchain-enabled metaverse

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High-Confidence Computing 2023年第1期3卷 1-7页

作者： Minghui Xu Yihao Guo Qin Hu zehui xiong Dongxiao Yu Xiuzhen Cheng School Computer Science and Technology Shandong UniversityQingdao 266237China Department of Computer and Information Science Indiana University-Purdue University IndianapolisUSA Information Systems Technology and Design Pillar Singapore University of Technology and DesignSingapore

Metaverse has rekindled human beings’desire to further break space-time barriers by fusing the virtual and real ***,security and privacy threats hinder us from building a utopia.A metaverse em-braces various techniques,while at the same time inheriting their pitfalls and thus exposing large attack ***,proposed in 2008,was regarded as a key building block of *** enables transparent and trusted computing environments using tamper-resistant decentralized ***,blockchain supports Decentralized Finance(DeFi)and Non-fungible Tokens(NFT)for ***-ever,the power of a blockchain has not been sufficiently *** this article,we propose a novel trustless architecture of blockchain-enabled metaverse,aiming to provide efficient resource integration and allocation by consolidating hardware and software *** realize our design objectives,we provide an On-Demand Trusted Computing Environment(OTCE)technique based on local trust ***,the architecture adopts a hypergraph to represent a metaverse,in which each hyper-edge links a group of users with certain *** the trust level of each user group can be evaluated based on graph analytics *** on the trust value,each group can determine its security plan on demand,free from interference by irrelevant ***,OTCEs enable large-scale and flexible application environments(sandboxes)while preserving a strong security guarantee.

关键词： Metaverse Blockchain Edge computing Trust

UAV-Assisted Dynamic Avatar Task Migration for Vehicular Metaverse Services: A Multi-Agent Deep Reinforcement Learning Approach

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IEEE/CAA Journal of Automatica Sinica 2024年第2期11卷 430-445页

作者： Jiawen Kang Junlong Chen Minrui Xu zehui xiong Yutao Jiao Luchao Han Dusit Niyato Yongju Tong Shengli Xie IEEE School of Automation Guangdong University of TechnologyGuangzhou 510006China 111 Center for Intelligent Batch Manufacturing based on IoT Technology Guangzhou 510006China Key Laboratory of Intelligent Information Processing and System Integration of IoT Ministry of EducationGuangzhou 510006China School of Computer Science and Engineering Nanyang Technological UniversitySingaporeSingapore Pillar of Information Systems Technology and Design Singapore University of Technology and DesignSingaporeSingapore College of Communication Engineering Army Engineering University of PLANanjing 210007China National Natural Science Foundation of China Beijing 100085China Key Laboratory of Intelligent Detection and IoT in Manufacturing Ministry of EducationGuangzhou 510006China Guangdong Key Laboratory of IoT Information Technology Guangzhou 510006China

Avatars, as promising digital representations and service assistants of users in Metaverses, can enable drivers and passengers to immerse themselves in 3D virtual services and spaces of UAV-assisted vehicular Metaverses. However, avatar tasks include a multitude of human-to-avatar and avatar-to-avatar interactive applications, e.g., augmented reality navigation,which consumes intensive computing resources. It is inefficient and impractical for vehicles to process avatar tasks locally. Fortunately, migrating avatar tasks to the nearest roadside units(RSU)or unmanned aerial vehicles(UAV) for execution is a promising solution to decrease computation overhead and reduce task processing latency, while the high mobility of vehicles brings challenges for vehicles to independently perform avatar migration decisions depending on current and future vehicle status. To address these challenges, in this paper, we propose a novel avatar task migration system based on multi-agent deep reinforcement learning(MADRL) to execute immersive vehicular avatar tasks dynamically. Specifically, we first formulate the problem of avatar task migration from vehicles to RSUs/UAVs as a partially observable Markov decision process that can be solved by MADRL algorithms. We then design the multi-agent proximal policy optimization(MAPPO) approach as the MADRL algorithm for the avatar task migration problem. To overcome slow convergence resulting from the curse of dimensionality and non-stationary issues caused by shared parameters in MAPPO, we further propose a transformer-based MAPPO approach via sequential decision-making models for the efficient representation of relationships among agents. Finally, to motivate terrestrial or non-terrestrial edge servers(e.g., RSUs or UAVs) to share computation resources and ensure traceability of the sharing records, we apply smart contracts and blockchain technologies to achieve secure sharing management. Numerical results demonstrate that the proposed approach

关键词： Avatar blockchain metaverses multi-agent deep reinforcement learning transformer UAVs

6G-Enabled Edge AI for Metaverse:Challenges, Methods,and Future Research Directions

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Journal of Communications and Information Networks 2022年第2期7卷 107-121页

作者： Luyi Chang Zhe Zhang Pei Li Shan Xi Wei Guo Yukang Shen zehui xiong Jiawen Kang Dusit Niyato Xiuquan Qiao Yi Wu School of Data Science and Technology Heilongjiang UniversityHarbin 150080China Institute for Cryptology and Network Security Heilongjiang UniversityHarbin 150080China SenseTime Group Limited Shenzhen 518000China Pillar of Information Systems Technology and Design Singapore University of Technology and Design.Singapore 487372Singapore School of Automation.Guangdong University of Technology and Center for Intelligenl Batch Manufacturing based on IoT TechnologyGuangzhou 510006China School of Computer Science and Engineering Nanyang Technological UniversitySingapore 639798.Singapore State Key Laboratory of Networking and Switching Technology Beijing University of Posts and Telecommunications.Beijing 100876China

Sixth generation(6G)enabled edge intelligence opens up a new era of Internet of everything and makes it possible to interconnect people-devices-cloud anytime,*** and more next-generation wireless network smart service applications are changing our way of life and improving our quality of *** the hottest new form of next-generation Internet applications,Metaverse is striving to connect billions of users and create a shared world where virtual and reality ***,limited by resources,computing power,and sensory devices,Metaverse is still far from realizing its full vision of immersion,materialization,and *** this end,this survey aims to realize this vision through the organic integration of 6G-enabled edge artificial intelligence(AI)and ***,we first introduce three new types of edge-Metaverse architectures that use 6G-enabled edge AI to solve resource and computing constraints in *** we summarize technical challenges that these architectures face in Metaverse and the existing ***,we explore how the edge-Metaverse architecture technology helps Metaverse to interact and share digital ***,we discuss future research directions to realize the true vision of Metaverse with 6G-enabled edge AI.

关键词： edge artificial intelligence artificial intelli-gence 6G metaverse federated learning

恶意干扰下的无人机辅助边缘计算加权能耗与时延智能优化

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电子与信息学报 2024年第7期46卷 2879-2887页

作者：杨和林郑梦婷刘帅肖亮谢显中熊泽辉厦门大学信息学院厦门361005 重庆邮电大学重庆市计算机网络与通信技术重点实验室重庆400065 新加坡科技设计大学信息系统技术与设计学院新加坡487372

近年来,将移动边缘计算(MEC)服务器搭载在无人机(UAV)上为地面移动用户提供服务备受学术界和工业界广泛的关注。但在恶意干扰环境下,如何有效调度资源降低系统时延和能耗成为关键问题。为此,针对干扰机影响下无人机辅助边缘计算的问题,... 详细信息

近年来,将移动边缘计算(MEC)服务器搭载在无人机(UAV)上为地面移动用户提供服务备受学术界和工业界广泛的关注。但在恶意干扰环境下,如何有效调度资源降低系统时延和能耗成为关键问题。为此,针对干扰机影响下无人机辅助边缘计算的问题,该文建立一个以最小化加权能耗与时延为目标的模型,联合优化无人机飞行轨迹、资源调度和任务分配来提升无人机辅助移动边缘计算系统性能。鉴于优化问题难求解以及恶意干扰行为动态多变,该文提出了一种基于双延迟深度确定性策略梯度(TD3)的资源调度算法,同时结合优先经验回放(PER)机制提高算法收敛速度和稳定性,高效对抗恶意干扰攻击。仿真结果表明所提算法较其他算法,能够有效降低系统的时延和能耗,并具有很好的收敛性与稳定性。

关键词：无人机通信移动边缘计算资源调度抗干扰深度强化学习

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江汉大学学报（自然科学版） 2021年第5期49卷 59-64页

作者：熊泽辉陈晓露江汉大学医学院湖北武汉430056 华中科技大学同济医学院附属协和医院神经内科湖北武汉430022

目的探讨MPO-ANCA阳性相关性肥厚性硬脑膜炎的临床特征及治疗方案。方法报道1例MPO-ANCA阳性的肥厚性硬脑膜炎伴肺动脉血栓的患者,并结合文献进行分析。结果患者就诊时表现为视力下降,伴有头痛,入院后查血D-二聚体7.09 mg/LFEU(<0.5),... 详细信息

目的探讨MPO-ANCA阳性相关性肥厚性硬脑膜炎的临床特征及治疗方案。方法报道1例MPO-ANCA阳性的肥厚性硬脑膜炎伴肺动脉血栓的患者,并结合文献进行分析。结果患者就诊时表现为视力下降,伴有头痛,入院后查血D-二聚体7.09 mg/LFEU(<0.5),红细胞沉降率33 mm/h(<15),抗MPO抗体137.3 CU(<20.0),抗蛋白酶3抗体22.7 CU(<20.0),肺纵膈三维CT平扫+增强示双侧肺动脉广泛血栓形成,肺动脉CTA示肺动脉多发栓塞,颅脑磁共振示双侧额颞部脑膜增厚强化,海绵窦、眶尖、咽旁间隙(右侧为著)及右侧岩上/下窦条片状强化影,所及双侧视神经局部显示较纤细(右侧为著),颅底脑膜增厚局部稍明显/疑稍显厚,诊断为MPO-ANCA阳性的肥厚性硬脑膜炎,经免疫、抗凝治疗后症状好转。结论MPO-ANCA阳性相关性肥厚性硬脑膜炎临床表现具有异质性,大多数患者出现慢性头痛,伴或不伴颅脑神经麻痹、小脑共济失调、癫痫发作、脊髓病、视力障碍等神经学表现。在临床中,发现头痛、多颅神经受累,并且伴鼻窦炎、中耳炎患者,需考虑MPO-ANCA阳性的肥厚性硬脑膜炎的可能。

关键词：肥厚性硬脑膜炎 MPO-ANCA阳性血管炎肺动脉血栓病例报道

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医药企业配送中心的选址与实证研究

湖州师范学院学报 2020年第8期42卷 87-92页

作者：熊泽辉张勇徐剑湖州师范学院商学院浙江湖州313000

考虑地理位置、交通状况、客户等多个因素建立模型,借助层次分析法对医药生产制造企业配送中心的选址进行研究.以成都地奥集团为例进行实证分析,给出了成都地奥集团医药配送中心不同的选址方案,经综合对比分析后确定最佳选址方案,即G2... 详细信息

考虑地理位置、交通状况、客户等多个因素建立模型,借助层次分析法对医药生产制造企业配送中心的选址进行研究.以成都地奥集团为例进行实证分析,给出了成都地奥集团医药配送中心不同的选址方案,经综合对比分析后确定最佳选址方案,即G2为最佳位置.G2位置可以有效地降低公司的经营管理费用,提高配送中心的运输效率.

关键词：配送中心选址层次分析法实证研究

面向多子元宇宙矿工分配的多背包问题优化方案

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电子与信息学报 2024年第5期46卷 2177-2186页

作者：康嘉文吴天昊文锦柏陈俊龙熊泽辉黄旭民刘雷广东工业大学自动化学院广州510006 南京航空航天大学计算机科学与技术学院南京210016 新加坡科技与设计大学信息系统技术与设计学院新加坡487372 西安电子科技大学通信工程学院西安710071

元宇宙是一种新型互联网社会生态,旨在促进用户交流、提供虚拟服务和数字资产交易。区块链作为元宇宙的底层技术,支持非同质化通证(NFT)等数字资产在元宇宙内流通。然而,随着共识节点的增加,数字资产的交易共识效率会降低。因此,该文设... 详细信息

元宇宙是一种新型互联网社会生态,旨在促进用户交流、提供虚拟服务和数字资产交易。区块链作为元宇宙的底层技术,支持非同质化通证(NFT)等数字资产在元宇宙内流通。然而,随着共识节点的增加,数字资产的交易共识效率会降低。因此,该文设计了基于边缘计算和跨链技术的多子元宇宙数字资产交易管理框架,首先,利用跨链技术将多个子元宇宙连接成多子元宇宙系统;其次,将边缘设备以矿工的身份分配到各个子元宇宙中,并利用其空闲的计算资源来提高数字资产交易的效率;此外,将边缘设备分配问题建模为一个多背包问题,并设计了一套矿工选择方案。针对环境动态变化的分配问题,采用深度强化学习中的近端策略优化(DRLPPO)算法,有效解决多子元宇宙中子元宇宙的矿工分配问题。仿真结果验证了所提方法的有效性,能够以安全、高效和灵活的方式实现跨链NFT交易和子元宇宙管理。

关键词：元宇宙区块链多背包问题深度强化学习

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基于局部生成对抗网络的水上低照度图像增强

计算机工程 2021年第5期47卷 16-23页

作者：刘文杨梅芳聂江天章阳杨和林熊泽辉武汉理工大学航运学院武汉430063 武汉理工大学内河航运技术湖北省重点实验室武汉430063 武汉理工大学计算机科学与技术学院武汉430063 南洋理工大学计算机科学与工程学院新加坡639798 新加坡科技与设计大学信息系统技术与设计系新加坡487372

针对低照度条件下获取的水上图像亮度和对比度低以及质量差的问题,提出一种基于局部生成对抗网络的图像增强方法。以残差网络作为基本框架设计生成器,通过加入金字塔扩张卷积模块提取与学习图像深层特征和多尺度空间特征,从而减少结构... 详细信息

针对低照度条件下获取的水上图像亮度和对比度低以及质量差的问题,提出一种基于局部生成对抗网络的图像增强方法。以残差网络作为基本框架设计生成器,通过加入金字塔扩张卷积模块提取与学习图像深层特征和多尺度空间特征,从而减少结构信息丢失。设计一个自编码器作为注意力网络,估计图像中的光照分布并指导图像不同亮度区域的自适应增强。构建具有判别图像局部区域能力的判别器结构,约束生成器输出增强效果更加自然的图像。实验结果表明,该方法能够有效增强水上低照度图像,场景还原和细节保留能力优于SRIE和LIME等方法。

关键词：低照度图像增强深度学习生成对抗网络金字塔扩张卷积自适应增强