A Cross-Domain Trust Model of Smart City IoT Based on Self-Certification

Smart city refers to the information system with Intemet of things and cloud computing as the core tec hnology and government management and industrial development as the core content,forming a large scale,heterogeneous and dynamic distributed Internet of things environment between different Internet of things.There is a wide demand for cooperation between equipment and management institutions in the smart city.Therefore,it is necessary to establish a trust mechanism to promote cooperation,and based on this,prevent data disorder caused by the interaction between honest terminals and malicious temminals.However,most of the existing research on trust mechanism is divorced from the Internet of things environment,and does not consider the characteristics of limited computing and storage capacity and large differences of Internet of hings devices,resuling in the fact that the research on abstract trust trust mechanism cannot be directly applied to the Internet of things;On the other hand,various threats to the Internet of things caused by security vulnerabilities such as collision attacks are not considered.Aiming at the security problems of cross domain trusted authentication of Intelligent City Internet of things terminals,a cross domain trust model(CDTM)based on self-authentication is proposed.Unlike most trust models,this model uses self-certified trust.The cross-domain process of internet of things(IoT)terminal can quickly establish a trust relationship with the current domain by providing its trust certificate stored in the previous domain interaction.At the same time,in order to alleviate the collision attack and improve the accuracy of trust evaluation,the overall trust value is calculated by comprehensively considering the quantity weight,time attenuation weight and similarity weight.Finally,the simulation results show that CDTM has good anti collusion attack ability.The success rate of malicious interaction will not increase significantly.Compared with other models,the resource consumption of our proposed model is significantly reduced.

The Effect of Online-to-Mobile Trust Transfer on the Foundation of Mobile Banking Trust

The paper mainly studies the influences of trust transfer on the establishment of consumers’ initial trust. Based on the theory of signal transmission and self-efficiency, the study builds a trust transfer model aiming at the same subject between different environments. The results shows that when the consumers’ perceived change of environment is little, prior successful experiences will improve the consumers’ perceptions of self-ability, which probably lowers the effect of bank’s role on the establishment of initial trust. Therefore, banks should cultivate consumers’ perceptions of their relative advantages in the original environment and thus improve the consumers’ dependency in the new environment to avoid the loss of consumers and build a long-term relationship.

Understanding Trust Transfer in Construction Project Marketplace of China

Initial trust has been proved to be a crucial antecedent of Proper Risk Allocation(PRA)which benefits the improvement of construction project management.However,In the context of China,employer’s lack of trust in the unfamiliar contractor without prior trade experience is the main obstacle that prevents employer from using the RPA.The aim of this paper is to create a better understanding of a specific path of building trust named trust transfer.In this paper,we first reviews related literatures and sum up the main feature of the trust transfer from the other context(e.g.E-business),and proposed the conceptualization of trust transfer in construction project marketplace.And then,according the feature of the trust transfer,we describe the basic model of the trust transfer in the construction project marketplace including employer as the trustor,the third party(source)and the unfamiliar contractor as trustee(target),and the relationship between these three nodes.At last,we analyze the type of the third party and the relationship of the trust transfer in the context of construction project.

A Trust Evaluation Mechanism Based on Autoencoder Clustering Algorithm for Edge Device Access of IoT

First,we propose a cross-domain authentication architecture based on trust evaluation mechanism,including registration,certificate issuance,and cross-domain authentication processes.A direct trust evaluation mechanism based on the time decay factor is proposed,taking into account the influence of historical interaction records.We weight the time attenuation factor to each historical interaction record for updating and got the new historical record data.We refer to the beta distribution to enhance the flexibility and adaptability of the direct trust assessment model to better capture time trends in the historical record.Then we propose an autoencoder-based trust clustering algorithm.We perform feature extraction based on autoencoders.Kullback leibler(KL)divergence is used to calculate the reconstruction error.When constructing a convolutional autoencoder,we introduce convolutional neural networks to improve training efficiency and introduce sparse constraints into the hidden layer of the autoencoder.The sparse penalty term in the loss function measures the difference through the KL divergence.Trust clustering is performed based on the density based spatial clustering of applications with noise(DBSCAN)clustering algorithm.During the clustering process,edge nodes have a variety of trustworthy attribute characteristics.We assign different attribute weights according to the relative importance of each attribute in the clustering process,and a larger weight means that the attribute occupies a greater weight in the calculation of distance.Finally,we introduced adaptive weights to calculate comprehensive trust evaluation.Simulation experiments prove that our trust evaluation mechanism has excellent reliability and accuracy.

Knowledge Transfer Learning via Dual Density Sampling for Resource-Limited Domain Adaptation

Most existing domain adaptation(DA) methods aim to explore favorable performance under complicated environments by sampling.However,there are three unsolved problems that limit their efficiencies:ⅰ) they adopt global sampling but neglect to exploit global and local sampling simultaneously;ⅱ)they either transfer knowledge from a global perspective or a local perspective,while overlooking transmission of confident knowledge from both perspectives;and ⅲ) they apply repeated sampling during iteration,which takes a lot of time.To address these problems,knowledge transfer learning via dual density sampling(KTL-DDS) is proposed in this study,which consists of three parts:ⅰ) Dual density sampling(DDS) that jointly leverages two sampling methods associated with different views,i.e.,global density sampling that extracts representative samples with the most common features and local density sampling that selects representative samples with critical boundary information;ⅱ)Consistent maximum mean discrepancy(CMMD) that reduces intra-and cross-domain risks and guarantees high consistency of knowledge by shortening the distances of every two subsets among the four subsets collected by DDS;and ⅲ) Knowledge dissemination(KD) that transmits confident and consistent knowledge from the representative target samples with global and local properties to the whole target domain by preserving the neighboring relationships of the target domain.Mathematical analyses show that DDS avoids repeated sampling during the iteration.With the above three actions,confident knowledge with both global and local properties is transferred,and the memory and running time are greatly reduced.In addition,a general framework named dual density sampling approximation(DDSA) is extended,which can be easily applied to other DA algorithms.Extensive experiments on five datasets in clean,label corruption(LC),feature missing(FM),and LC&FM environments demonstrate the encouraging performance of KTL-DDS.

Multiway Dynamic Trust Chain Model on Virtual Machine for Cloud Computing

This paper sums up four security factors after analyzing co-residency threats caused by the special multitenant environment in the cloud.To secure the factors,a multiway dynamic trust chain transfer model was proposed on the basis of a measurement interactive virtual machine and current behavior to protect the integrity of the system.A trust chain construction module is designed in a virtual machine monitor.Through dynamic monitoring,it achieves the purpose of transferring integrity between virtual machine.A cloud system with a trust authentication function is implemented on the basis of the model,and its practicability is shown.

信任水平、感知成本与农户林地流转契约选择

基于福建省319户农户调查数据,采用Tobit、IV-2SLS等计量模型,实证分析信任水平和感知成本对林地流转契约选择的影响,并进一步探究不同流转主体差异、代际差异和感知风险差异在林地流转契约选择方面的异质性。结果表明:1)农户的信任水平和感知成本越高,林地流转时越倾向于选择更长的流转期限和更大的流转面积,转出主体的流转价格越高;信任水平和感知成本的交互项发挥调节作用。2)林地流转契约选择存在代际差异和感知风险差异,在流转期限和流转规模方面,信任水平、感知成本对新生代及感知低风险农户的有效影响更显著;在流转价格方面,信任水平、感知成本对老一代和感知高风险转出农户的影响更显著。据此,建议完善市场机制,激活社会资本,并保持林业政策的稳定性和持久性。

社会网络下考虑信息补全的物流供应商选择研究

在物流供应商选择过程中,针对分布式评价语言环境下专家评价信息不完整问题,提出社会网络下考虑信息补全的群决策方法。考虑专家接受间接信任关系可能性的大小,提出一种新的信任传递模型来完善专家间的信任值;首次拓展Jensen-Shannon散度到分布式评价语言距离度量上,用于衡量专家之间的相似度;基于K-临近算法,设计改进的残缺评价信息补全方法;对专家信息进行集结并构建共识度量与反馈调节机制,得到群决策矩阵,并运用改进的EDAS(evaluation based on distance from average solution,离平均方案(平均解)距离)方法对方案进行排序;通过物流服务供应商综合评估算例验证该群决策方法的可行性和有效性。

公共转移支付对家庭消费相对剥夺的影响

本文基于中国家庭追踪调查数据(CFPS),运用双向固定效应模型,实证考察公共转移支付对家庭消费相对剥夺的影响及作用机理。研究发现,公共转移支付可以显著缓解家庭消费相对剥夺。经过一系列稳健性检验并缓解潜在的内生性问题后,研究结论依然成立。异质性分析表明,相比于民生性转移支付,生产性转移支付显著缓解了家庭消费相对剥夺;公共转移支付对贫困县和高抚养比家庭的消费相对剥夺影响更大。机制分析表明,公共转移支付主要通过降低家庭收入相对剥夺、改善收入不确定性和提高社会信任水平来缓解家庭消费相对剥夺。本研究为缓解个体消费相对剥夺、改善居民福利水平,进而实现共同富裕提供了微观证据。

嵌入区块链信息传递功能的绿色供应链决策

针对消费者不完全信任绿色产品及供应链高交易成本问题,基于区块链的技术效应特征构建绿色供应链博弈模型,对比分析绿色供应链未实施和实施区块链两种情形下的决策,并从不同价值目标视角探讨绿色供应链实施区块链的充分条件。研究表明,当实施区块链所产生的价值增益较高或价值增益较低但绿色产品潜在市场规模削弱因子大于一定程度时,绿色供应链才有足够的动力实施区块链。通过算例分析进一步发现,绿色产品的价格弹性系数、制造商绿色努力成本系数以及消费者绿色偏好度之间的关系将影响绿色供应链实施区块链的条件。实施区块链后,制造商和零售商均将提高销售价格。实施区块链所产生的价值增益越大,产品批发价格越高,但对产品零售价格的影响具有差异性。

关系强度对农地流转契约选择影响的研究——来自贵州省4县(市)1108户农户的经验证据

基于贵州省4县(市)1108户农户的一手调研数据,利用Probit模型考察关系强度对农地流转契约选择的影响,同时使用改进中介效应模型进一步探讨其内在传导机制。结果表明:关系强度越弱,农户在农地流转时越倾向于采用书面式契约;自然空间距离以及信任在关系强度对农户农地流转契约选择的影响中具有中介效应。上述研究结论的启示为:在经济发展相对落后的农村地区,农地流转过程中的契约选择实质上尚未摆脱社会关系的影响,农地流转双方仍旧会基于关系强度来配置农地资源。因此,中央及各级地方政府在推动农地流转契约正规化的过程中,一定要充分考虑当地差序格局、信任机制以及关系网络等非正式制度供给在乡村治理中所发挥的重要作用。

Cross-domain diagnosis for polymer electrolyte membrane fuel cell based on digital twins and transfer learning network

Existing research on fault diagnosis for polymer electrolyte membrane fuel cells(PEMFC)has advanced significantly,yet performance is hindered by variations in data distributions and the requirement for extensive fault data.In this study,a cross-domain adaptive health diagnosis method for PEMFC is proposed,integrating the digital twin model and transfer convolutional diagnosis model.A physical-based high-fidelity digital twin model is developed to obtain diverse and high-quality datasets for training diagnosis method.To extract long-term time series features from the data,a temporal convolutional network(TCN)is proposed as a pre-trained diagnosis model for the source domain,with feature extraction layers that can be reused to the transfer learning network.It is demonstrated that the proposed pre-trained model can hold the ability to accurately diagnose the various fuel cell faults,including pressure,drying,flow,and flooding faults,with 99.92%accuracy,through the effective capture of the long-term dependencies in time series data.Finally,a domain adaptive transfer convolutional network(DATCN)is established to improve the diagnosis accuracy across diverse fuel cells by learning domain-invariant features.The results show that the DATCN model,tested on three different target domain devices with adversarial training using only 10%normal data,can achieve an average accuracy of 98.5%(30%improved over traditional diagnosis models).This proposed method provides an effective solution for accurate cross-domain diagnosis of PEMFC devices,significantly reducing the reliance on extensive fault data.

合并转设背景下高校内部信任机制建设路径研究

在分析合并转设背景下新升格本科院校内部信任面临现实困境基础上,梳理高校内部信任机制的现状和原因,提出构建“回归价值理性驱动逻辑、建立发展性评价理念、培养教职工信任品格、增强信任文化价值认同”的内部信任机制建设路径,提升合并转设院校内部治理水平。

关系向度:一个农地流转合约选择的分析框架

合约作为农地流转的纽带,如果不适合流转双方会引起流转纠纷、增加无谓的社会交易成本,损害流转双方的合法权益。本文运用多学科交叉分析方法,将“关系向度”理论嵌入农地流转合约选择情境,构建涵盖转出方与四类交易主体及与之匹配的四种关系类型的理论分析框架,从时间与空间双重维度对农地流转合约选择的影响机理进行剖析,并结合多案例分析方法对四类交易主体选择不同关系类型合约的适配性加以验证。结果表明:因关系向度中时间维度的时效性长短及空间维度的选择性高低存在显著差异,不同关系类型的流转面临截然不同的交易费用,继而影响农地流转合约的选择;受关系向度影响,农地流转在固定关系、友谊关系、约定关系及松散关系情境下分别与关系合约、口头合约、书面合约与书面正式合约相匹配,能更好满足流转双方效用预期并带来合作剩余。本框架可为异质性情境下我国农地流转合约的匹配及优化选择提供参考,同时为学界探究农地流转合约问题提供新的视角。

物联网内节点信任传递能耗智能感知仿真

物联网由大量分布在不同位置的节点组成,通过能耗感知,可以优化信任传递路径的选择和节点之间的通信方式,从而提高整个物联网网络的性能和效率。因此,提出一种物联网节点信任传递能耗智能感知方法。通过对物联网体系架构展开分析,提取物联网节点信任传递能耗评估指标,建立对应的指标体系。利用T-S模糊神经网络获取各个指标对应的节点信任传递能耗智能感知结果,通过层次分析法将全部感知结果展开融合处理,最终实现物联网节点信任传递能耗智能感知。通过实验分析表明,所提方法可以精准感知物联网节点信任传递能耗变化情况且感知效率高,耗时短,可以为物联网节点信任传递能耗智能感知的进一步研究和应用提供重要的参考依据。

基于信任转移视域的社群购物用户消费行为实证研究

[目的/意义]随着电子商务发展并下沉至虚拟社群,社群已成为电商企业满足用户精准化需求的重要营销方式。通过探究用户参与社群购物的影响机理,可为社群运营发展提供有价值的决策参考。[方法/过程]基于信任转移视角,构建从移动端购物转移至社群购物的用户消费行为实证模型。以TAM理论为基础,利用SPSS 27.0和AMOS 28.0工具对收集到的数据进行检验。[结果/结论]用户对移动端购物信任既直接影响其对社群购物的信任,又借助感知有用性和结构保证两个因素间接影响社群购物信任,主观规范、感知易用性、感知有用性、社群购物信任因素可正向影响用户消费行为。

欺诈性家族信托所有权转移的效力认定

家族信托作为传承家族财产的重要金融工具,具有风险隔离作用,能够避免信托资金被强制执行,但也因此产生了以欺诈为目的的家族信托。欺诈性家族信托主观上存在非正当目的,利用在信托成立后才发生的潜在债务,客观上实施了欺诈性的信托行为,损害了债权人的债权实现。欺诈性信托应属于可撤销信托,而非无效信托,存续期间其所有权应归属于受托人,独立于委托人和受托人的固有财产。为了排除利用家族信托逃避债务的行为,在信托被撤销后应当允许法院对信托资金强制执行,以保障债权人的合法权益,维护信托制度和经济体系的稳定。

网上至移动环境下的信任转移模型及其实证研究

移动证券服务是移动通信技术在证券行业的一个新兴应用。相对于传统的电话交易服务和网上证券交易服务,移动证券服务拥有诸如随时随地、方便性和私密性等优势。然而,采用移动证券服务进行股票交易的用户人数远远小于采用其它方式的用户数量。其主要原因是投资者缺乏对移动证券服务的初始信任,从而影响到他们接受和使用移动证券服务。本研究的目的是探索信任转移是否是建立移动证券服务初始信任的有效途径,分析了投资者对网上证券服务的信任是如何影响其对移动证券的感知,以及影响移动证券初始信任和使用意向的其它重要因素,并对信任从网上环境向移动环境的转移情况进行了实证研究。研究结果表明,网上证券服务的信任不仅直接影响移动证券服务的初始信任,而且通过移动环境下的结构保证和感知的有用性间接影响移动证券服务的初始信任。同时,感知的有用性、结构保证和信息质量等因素对移动证券的初始信任都有显著影响。但是,便利性和感知的易用性对移动证券服务初始信任的影响并不显著。

基于信任转移视角的移动购物用户接受行为实证研究

基于消费者购物信任,从传统互联网转至移动互联网环境的视角,构建了一个整合的移动购物用户接受行为结构方程模型。采用LISREL软件进行验证,结果表明消费者对传统互联网购物的信任既直接影响其对移动购物的初始信任,又通过移动环境下的感知有用性和结构性保障因素间接影响移动购物初始信任。感知有用性、结构性保障、商家声誉均对初始信任具有正效应,但感知易用性与初始信任、便利性与初始信任间的假设关系不成立。

信任促进两人层次知识转移的机制的研究

近来,如何促进知识在组织中、组织间有效地转移,已成为众多经理人和研究人员关注的热点。过去的文献都是从信任如何促使人们更愿意参与知识转移的角度来研究信任对知识转移的促进作用。本文提出,信任对知识转移的促进作用不仅在于促使人们更愿意参与知识转移,还在于能够使知识转移活动对于参与双方来说变得更容易。进一步,本文运用符号互动理论的观点,从信任对知识转移双方互动过程的影响的角度入手,论述了信任能通过以下三种方式使知识转移变得更容易:(1)使知识转移双方沟通加深;(2)促使提供方划清自己的知识领域;(3)促进双方积极的归因。