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Blockchain-Enabled Federated Learning with Differential Privacy for Internet of Vehicles

Computers, Materials & Continua 2024年第10期81卷 1581-1593页

作者： Chi Cui Haiping Du zhijuan jia Yuchu He Lipeng Wang School of Information Science and Technology Zhengzhou Normal UniversityZhengzhou450044China School of Electrical Computer and Telecommunications EngineeringUniversity of WollongongWollongongNSW 2500Australia

The rapid evolution of artificial intelligence(AI)technologies has significantly propelled the advancement of the Internet of Vehicles(IoV).With AI support,represented by machine learning technology,vehicles gain the capability to make intelligent *** a distributed learning paradigm,federated learning(FL)has emerged as a preferred solution in *** to traditional centralized machine learning,FL reduces communication overhead and improves privacy *** these benefits,FL still faces some security and privacy concerns,such as poisoning attacks and inference attacks,prompting exploration into blockchain integration to enhance its security *** paper introduces a novel blockchain-enabled federated learning(BCFL)scheme with differential privacy(DP)tailored for *** order to meet the performance demanding IoV environment,the proposed methodology integrates a consortium blockchain with Practical Byzantine Fault Tolerance(PBFT)consensus,which offers superior efficiency over the conventional public *** addition,the proposed approach utilizes the Differentially Private Stochastic Gradient Descent(DP-SGD)algorithm in the local training process of FL for enhanced privacy *** results indicate that the integration of blockchain elevates the security level of FL in that the proposed approach effectively safeguards FL against poisoning *** the other hand,the additional overhead associated with blockchain integration is also limited to a moderate level to meet the efficiency criteria of ***,by incorporating DP,the proposed approach is shown to have the(ε-δ)privacy guarantee while maintaining an acceptable level of model *** enhancement effectively mitigates the threat of inference attacks on private information.

关键词： Blockchain federated learning differential privacy Internet of Vehicles

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An Association Ring Signature for Block Chain E-Money Transactions

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Wuhan University Journal of Natural Sciences 2019年第2期24卷 169-175页

作者： YANG Kai HU Mingsheng jia zhijuan GONG Bei ZHANG Xiaofei School of Information Science and Technology Zhengzhou Normal University

Block chain is widely used in the financial field for its characteristics of decentralization, anonymity and trust. Electronic money payment is an important application hotspot. Ring signature is widely used in strong anonymous authentication such as electronic cash and electronic voting because of its unconditional anonymity, spontaneity and flexible group structure. Among them, the correlation ring signature can prove whether two signatures are issued by the same person without revealing the identity of the real signer. Therefore, the signature right breach can be avoided based on the premise of guaranteeing anonymity, such as repeated voting, electronic money repetition cost and so on. Most of the existing correlation ring signature security is based on the discrete logarithm problem, and most of the schemes result in the degradation of anonymity because of strong association. These methods do not apply to the block chain electronic currency transaction scene with strong anonymity. Therefore, this paper first proposes a blockchain-based electronic currency transaction security model. The model ensures not only the anonymity of both parties but also a certain degree of traceability. In order to support these two characteristics, this paper proposes an association ring signature method based on large integer decomposition problem. This method has strong anonymity and can be applied to blockchain scenes. On the other hand, it can be converted into group signatures in specific scenarios. It is therefore traceable. Finally, the adaptive selection message of the scheme and the unforgeability under the selection of public key attack are proved under the random oracle model.

关键词： block chain ring signature strong anonymity relevance

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A semantic trust model of large scale distributed system based on Ontology

A semantic trust model of large scale distributed system bas...

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第30届中国控制与决策会议

作者： MingSheng Hu Kai Yang zhijuan jia Zhengzhou Normal University

With the in-depth research of large-scale distributed application systems,the traditional software system ecology has shifted from closed relative static form to open,shared and publicly accessible dynamic collaborative service *** original trust model has been unable to adapt to the identification of new system security problems,so the research of the dynamic trust model has become a hot *** this paper,we propose a large scale distributed system trust model（LSDM） based ontology based large-scale distributed system semantic trust model,which aims to describe the interaction behaviors between entities,and give consideration to the sharing and scalability of *** the other hand,the RBTM trust calculation method is proposed to improve the recognition rate of the model based on LSDM.

关键词： distributed system dynamic trust model ontology semantics trusted computing

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Search engine advertising optimization strategy based on Ontology and Multi-attribute Entropy Weight Fuzzy Comprehensive Evaluation

Search engine advertising optimization strategy based on Ont...

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第30届中国控制与决策会议

作者： Kai Yang MingSheng Hu zhijuan jia Zhengzhou Normal University

In the web advertising domain,faced with massive advertising data,making advertising optimization strategy has become a huge ***,we propose an ontology-based search engine advertising semantic model,which aims at semantic description of search engine advertising domain knowledge and reuse integration of existing product ontology *** this basis,put forward Search Engine Optimization Strategy based on multi-attribute entropy weight fuzzy comprehensive evaluation which purpose is refuse the current artificial decision *** order to effectively solve the problems faced in the artificial optimization of Internet advertising.

关键词： Intelligent decision Ontology Fuzzy comprehensive evaluation Computing Advertising

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The Analysis of Epidemic Disease Propagation in Competition Environment

The Analysis of Epidemic Disease Propagation in Competition ...

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2013年中国智能自动化学术会议

作者： Mingsheng Hu Suimin jia Qiaoling Chen zhijuan jia Liu Hong College of Information Science and Technology Zhengzhou Normal University

An autonomous SIRS epidemic model of two competitive species is established in this paper,in which One kind of disease can survive and have the chance of cross-infection,not only the disease of the cross-infection but also the additional disease death rates are considered in this model,through the analysis of this kind of model,we can gain the threshold value condition of the stability of *** more it can see the global stability of the model through simulation number value.

关键词： SIRS Local asymptotic stability Global asymptotic stability Numerical simulation

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Modeling and Simulation of Heterogeneous Traffic Flow in the Vicinity of Intersections Considering Communication Delay

Modeling and Simulation of Heterogeneous Traffic Flow in the...

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第三十九届中国控制会议

作者： Yuchu He zhijuan jia Yage Cheng Zhe Li Lipeng Wang Junjun Fu College of Information Science and Technology Zhengzhou Normal University School of Information Engineering Zhengzhou University

With the rapid development and application of vehicle communication technology and autonomous driving technology, the traffic flow of freeways and urban roads will inevitably change from traditional traffic flow（all vehicles are controlled by human drivers） to heterogeneous traffic flow（including CACC and other autonomous vehicles）. At present, in the field of heterogeneous traffic flow, scholars mostly take modeling and simulation as the means to study the impact of heterogeneous flow in the freeway scene, but few studies discuss the impact of heterogeneous traffic flow on urban roads, especially in the scene of signal control area. In view of this, taking the IDM model as the traditional traffic flow model and the ACC model proposed by University of California at Berkeley as an automatic driving model, this paper builds a heterogeneous traffic flow model in the vicinity of intersections at the background of typical urban traffic scene and also preliminary explore the influence mechanism of the mix of autopilot on the traffic flow in the signal control area through simulation experiments, which can provide reference for the development and application of automatic driving technology.

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雾衰减经验模型的适用性分析

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激光技术 2021年第6期45卷 751-755页

作者：吴鹏飞贾之娟西安理工大学自动化与信息工程学院西安710048

雾衰减经验模型的计算是预测雾衰减的一种重要方法。为了将雾衰减经验模型应用到实际中进行适用性分析,从米氏散射理论出发,采用理论推导和仿真分析的方法,计算了Kruse模型、Kim模型和Ijaz模型中激光在不同能见度下的衰减,分析了3个模... 详细信息

雾衰减经验模型的计算是预测雾衰减的一种重要方法。为了将雾衰减经验模型应用到实际中进行适用性分析,从米氏散射理论出发,采用理论推导和仿真分析的方法,计算了Kruse模型、Kim模型和Ijaz模型中激光在不同能见度下的衰减,分析了3个模型在计算衰减系数时的差异,并通过搭建自由空间光通信实验平台,将实验结果与仿真结果对比分析。结果表明,650nm波长的激光在雾衰减信道下的衰减结果与Kim衰减模型更接近。此研究结论为西安地区自由空间光通信系统雾衰减系数分析提供了参考依据。

关键词：光通信雾衰减米氏散射 Kim模型

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基于网格的Multi_Agent web文本挖掘系统

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微计算机信息 2006年第7X期22卷 266-268,141页

作者：贾志娟胡明生郑州师范高等专科学校软件科学研究所华中科技大学控制科学与工程系430074

企业决策对web文本挖掘的速度和准确性的要求越来越高。本文提出了一个基于网格技术的能够并行处理的Mul-ti_Agentweb文本挖掘系统。并讨论了该系统提供文本挖掘服务的方法和步骤。

关键词：网格多agent 文本挖掘

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基于多信息融合和DA-DBN的苹果等级判别

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食品与机械 2023年第10期39卷 138-145页

作者：陈海霞贾志娟赵云平郑州职业技术学院河南郑州450000 郑州师范学院河南郑州450044 河南工业大学河南郑州450000

目的:为了提高苹果等级判定模型的精度,建立苹果等级判定方法。方法:提出一种多信息融合和蜻蜓算法改进深度置信网络的苹果等级判定模型。对苹果图像进行数据增强、归一化、高斯滤波、灰度化等预处理,提取苹果图像的HSV颜色特征、LBP纹... 详细信息

目的:为了提高苹果等级判定模型的精度,建立苹果等级判定方法。方法:提出一种多信息融合和蜻蜓算法改进深度置信网络的苹果等级判定模型。对苹果图像进行数据增强、归一化、高斯滤波、灰度化等预处理,提取苹果图像的HSV颜色特征、LBP纹理特征和HOG形状特征。针对DBN模型性能受参数选择的影响,运用DA算法优化选择DBN模型的网络参数,提出一种多信息融合和DA-DBN的苹果等级判定模型。结果:与GA-DBN、PSO-DBN、GWO-DBN和DBN相比,基于DA-DBN的苹果等级判定模型的精度最高。结论:蜻蜓算法优化DBN模型可以有效提高苹果等级判定模型的精度。

关键词：深度置信网络蜻蜓算法纹理特征颜色特征形状特征苹果

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团体心理护理对尿道膀胱肿瘤电切术后行膀胱灌注化疗患者生活质量的影响

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智慧健康 2023年第11期9卷 273-277页

作者：贾志娟涟水县人民医院泌尿外科江苏涟水223400

目的浅析团体心理护理在尿道膀胱肿瘤电切术后进行膀胱灌注化疗患者生活质量的作用。方法将2018年11月-2021年11月来本院进行尿道膀胱肿瘤电切术后给予膀胱灌注化疗患者64例作为分析对象,按照时间顺序分为对照组与实验组,每组各32例。... 详细信息

目的浅析团体心理护理在尿道膀胱肿瘤电切术后进行膀胱灌注化疗患者生活质量的作用。方法将2018年11月-2021年11月来本院进行尿道膀胱肿瘤电切术后给予膀胱灌注化疗患者64例作为分析对象,按照时间顺序分为对照组与实验组,每组各32例。对照组在化疗后实施常规护理,实验组在常规护理中联合团体心理护理,将两组患者在护理后的不良情绪、生活质量和对护理内容的满意程度进行对比。结果实施护理前,两组患者的不良情绪评分和生活质量评分相差较小(P>0.05);实施护理后,实验组不良情绪评分明显降低,生活质量评分明显提高,对照组患者的不良情绪评分以及生活质量评分波动幅度较小(P<0.05)。实验组患者护理有效率显著高于对照组护理有效率(P<0.05)。结论尿道膀胱肿瘤电切术以后再进行膀胱灌注化疗时,为改善患者的生活质量和缓解患者不良情绪,可将团体心理护理运用到临床护理中,护理效果明显。

关键词：尿道膀胱肿瘤电切术膀胱灌注化疗常规护理团体心理护理生活质量

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