Blockchain-Based Decentralized Reputation Management System for Internet of Everything in 6G-Enabled Cybertwin Architecture

Internet of Everything(IoE)has emerged as a promising paradigm for the purpose of connecting and exchanging data among physical objects and humans over the Internet,and it can be widely applied in the fields of industry,transportation,commerce,and education.Recently,the emergence of 6G-enabled cybertwin network architecture provides the technical and theoretical foundation for the realization of IoE paradigm.However,the IoE has three open issues in the 6G-enabled cybertwin architecture,i.e.,data authenticity,data storage and node reliability.To address these issues,we propose a blockchain-based decentralized reputation management system(BC-DRMS)for IoE in 6G-enabled Cybertwin architecture.In the proposed BC-DRMS,the traffic data collected from end nodes is stored on the blockchain and the decentralized file system,i.e.,InterPlanetary File System(IPFS),to resist data tampering,and then the data is further processed by the edge clouds and core clouds to provide services to users.Also,a multi-level reputation evaluation scheme is designed to compute the reputation scores of IoE nodes to prevent malicious node attacks.The experiment results and analysis demonstrate that,compared to the traditional centralized reputation management systems(CRMS),the proposed BC-DRMS cannot only address the issues of data authenticity and storage,but also provides high reliability for IoE in 6G-enabled cybertwin architecture.

Research of Internet Trade Trust Based on the KMRW Reputation Model

The paper discusses the Internet trade trust problemby using KMRW reputation model in incompleteinformation limited repeated game,concluding thatin certain conditions,both Internet trade participatorswill give up short-time revenue for maximizinglong-term revenue and accordingly employ the cooperationstrategy,and the times of cooperation isvulnerable to trade price and product utility.At last,the paper proposes several policies and suggestionssuch as forming Internet honesty culture,strengtheningInternet brand and figure and protecting Internetwell-known brands.

Investigating the effect of online and offline reputation on the provision of online counseling services: A case study of the Internet hospitals in China

The sustainable development of Internet hospitals and e-health platforms relies on the participation of patients and physicians,especially on the provision of health counseling services by physicians.The objective of our study is to explore the factors motivating Chinese physicians to provide online health counseling services from the perspectives of their online and offline reputation.We collect the data of 141029 physicians from 6173 offline hospitals located in 350 cities in China.Based on the reputation theory and previous studies,we incorporate patients’feedback as physicians’online reputation and incorporate physicians’offline professional status as physicians’offline reputation.Results show that physicians’online reputation significantly and positively influence their online counseling behaviors,whereas physicians’offline reputation significantly and negatively influence their online counseling behaviors.We conclude that physician’s online and offline reputations show a competitive and substitute relationship rather than a complementary relationship in influencing physicians to provide online counseling services in Internet hospitals.One possible explanation for the substitute relationship could be the constraints of limited time and effort of physicians.

Effects of Probability of Accurately Predicting and Ascertaining Defection on Cooperation and its Application to Simulated Internet Dealing

Without cooperative behaviors, our society or organization falls into social dilemma situations where every member selects uncooperative （defective） behaviors, and the situation gets worse and worse. Such a situation in a society or an organization leads to violation of social or organizational rules, and at the worst case it suffers from serious accidents or scandals. Therefore, it is important for us to make efforts and take measures to elicit cooperative behaviors. It was demonstrated theoretically that altruism strategy and adaptive prediction and ascertainment strategy are in some cases better than rational strategy under the situation of social dilemma. We built up a mathematical model in order to examine how the probability of correctly predicting and ascertaining the behavior （cooperation or defection） of opponents and the mixture of （a） altruism （all cooperation） strategy, （b） individualism （all defection） strategy, and （c） adaptive prediction and ascertainment strategy affected the expected profit. Simulation results showed that the tit-for-tat strategy was better than the rational （individualism） strategy when the probability of correctly predicting and ascertaining defection of the opponent was considerably higher. As an application of the basic study above, it was explored, using a simulation method, how such a system as opening reputation or peer review in public could work satisfactorily to prevent defective behaviors in auction dealing. The result showed that the information on the handle name and the reputation effectively worked to prevent defective behaviors.

声誉对互联网医院使用意愿影响的多元路径分析——基于SEM和fsQCA的实证分析

目的:探究声誉对互联网医院使用意愿的影响,对优化互联网医院服务供给模式,提高患者就医体验,促进医院高质量发展都具有重要意义。方法:基于信息-解释-响应(I-I-R)理论构建声誉对互联网医院使用意愿影响框架模型,采用结构方程模型(SEM)和模糊集定性比较分析法(fsQCA)对互联网医院的使用意愿和组态路径进行实证分析。结果:医院社会责任、医院实力和医生声誉正向影响评估性态度,路径系数由强到弱依次为0.360、0.301和0.260;医院实力和医院社会责任正向影响情感性态度,路径系数分别为0.449和0.272;评估性态度和情感性态度正向影响使用意愿,路径系数分别为0.519和0.386。且以医院社会责任型和医生声誉+医院实力型为核心条件可构成两种模式下的六条有效路径。结论:医生声誉、医院实力和医院社会责任对提高互联网医院使用意愿最有效。医院应构建专业度高的医疗服务平台,提高知名度;应定期开展学习和培训,更新医疗设备,保持信息公开透明,积极承担社会责任,提高医院实力;医生应改善服务态度,提高线上互动性。

面向6G物联网设备协同的区块链动态分片

随着物联网规模化应用的不断落地,海量设备协同工作,产生了大量高价值数据。这些数据若得不到有效的安全保障,就容易遭受数据滥用、隐私泄露以及数据篡改等威胁。因此,去中心化、不可篡改、安全的区块链分片网络逐步取代传统的集中式网络,被应用到该场景中。然而,区块链分片网络受限于复杂环境以及高比例跨片协同事务。针对上述问题,提出一种面向6G物联网设备协同的区块链动态分片优化方案。设计分片系统架构,建立整个系统的吞吐量模型、安全模型以及时延模型。在此基础上,提出两阶段分片优化策略。第一阶段采用信誉分级分片策略筛选节点,第二阶段采用基于深度强化学习算法的动态分片策略,降低跨片协同事务比例,决策分片数量。两阶段的设计目的是在保证安全的情况下最大程度地提升整个系统的吞吐量。实验结果表明,在面向物联网设备协同的区块链分片场景下,相较于传统的基于单一的信誉分级分片策略、均匀分片策略或者随机分片策略的方案,所提方案在保证安全性的情况下,平均每轮减少50%以上的跨片协同事务比例,有效地提升了系统的吞吐量。

双重名誉法益观下网络侮辱的侮辱性判断进路

为了应对网络时代价值观多元化带来的网络侮辱的侮辱性判断困难的问题,以刑法教义学中法益分析方法作为进路探究网络侮辱行为是否构罪。网络侮辱成立侮辱罪的前提是侵犯了现实社会中的人的名誉,侮辱罪的保护法益是包括外在名誉与主观名誉的双重名誉法益。对于网络侮辱的侮辱性判断遵循从外部名誉到主观名誉的双重判断。在双重名誉法益观下,对披露重要隐私而非一般隐私的行为能够成立侮辱罪,对具体群体而非抽象群体进行侮辱行为能够成立侮辱罪。

Research on Intelligent Mobile Commerce Transaction Security Mechanisms Based on Mobile Agent

In networked mobile commerce network transactions,trust is the prerequisite and key to a smooth transaction.The measurement of trust between entities involves factors such as transaction amount,transaction time,personal income of consumer entities and their risk attitude towards trust,etc.,so it is difficult to accurately calculate quantitatively.In order to find out the essential characteristics of this trust relationship,based on the research background of mobile commerce in the mobile network environment,a dynamic trust mechanism is proposed through the research of trust in the mobile network environment,trust influencing factors and trust mechanism.The calculation model of mobile interactive services based on mobile service business transactions.The model calculates feedback credibility through feedback deviation and feedback robustness,and combines transaction context factors and trust mapping mechanism to judge the seller’s credibility.This model better reflects the degree of influence of subjective factors such as personal preferences and risk attitudes on trust calculations,And the sensitivity of trust algorithms and transaction attributes has been greatly improved.After a large number of experiments and theoretical analysis,this mechanism provides an effective explanation for solving the problem of network trust computing.and provides valuable new ideas for the study of secure transactions in the mobile Internet environment.

车联网中基于区块链的分布式信任管理方案

针对车联网中恶意车辆识别效率低、识别准确率低带来的安全问题,提出了一种基于区块链的分布式车联网信任管理方案。通过聚合车辆的评分信息,结合贝叶斯推理模型设计了一种虚假信息识别策略。联合车辆历史交互信息以及交通事件信息设计了一种声誉值更新算法,并利用声誉阈值识别恶意车辆。通过路边单元构建区块链,实现了交通数据以及车辆声誉值的分布式存储。改进了传统的工作量证明共识机制,通过事件等级与参与评分车辆数量动态改变矿工节点的出块难度,并利用等待机制使近期出块的节点暂时停止参与矿工节点的选举过程,从而减少重复计算带来的资源消耗。仿真结果表明,所提方案能够有效识别虚假信息,抵御恶意车辆的欺骗行为,提升恶意车辆的识别效率,减少资源消耗,在车联网的分布式信任管理方面是有效可行的。

互联网平台型电商企业的在线声誉治理机制:逻辑理路与实现路径

互联网平台型电商企业作为一种新的商业模式在推进零售产业变革,带动社会经济增长的同时也因自身虚拟组织架构加剧了平台型网络市场中的信息不对称问题。研究基于对在线声誉研究的全面回顾与系统梳理,发现在线声誉作为信息披露与信息传递工具可以有效缓解平台型网络市场中的信息不对称问题。通过对互联网平台型电商企业在线声誉治理机制进行深入分析,研究提出互联网平台型电商企业的在线声誉治理机制是声誉规则体系与治理对象的相互匹配、声誉治理策略与经营行为的灵活调整、声誉治理效能与用户参与的协同演进、声誉治理强度与平台发展的动态均衡。

多维适配算法对区块链节点可信授权的优化研究

区块链技术可解决物联网传统访问控制方案中管理集中、数据易丢失等问题,实现分布式、安全性高的访问控制,但容易忽视建立动态灵活的访问控制机制的重要性,当节点被破坏时无法自动捕捉网络的动态信息,并相应地调整其授权策略.本文设计了一种基于属性的物联网访问控制机制,具有辅助授权的信任和声誉系统,提出多维适配算法(MDAA),首先利用一个公有区块链和私有侧链,将敏感信息和公共数据分开存储,服务消费节点注册属性,服务提供节点定义访问门限策略;接着信任和声誉系统逐步量化网络中每个节点的信任和声誉评分,当服务消费节点发起访问请求后,智能合约验证服务消费节点是否满足访问门限策略要求的属性和信任声誉阈值,都满足则获得访问权限;最后依据节点间交互作用定期更新节点的信任和声誉评分,实现动态验证和授权.仿真结果表明,与TARAS算法、DADAC算法相比,MDAA支持双向信任评估,具有较好的算法收敛性,在确保授权安全的同时减少了处理访问控制的延迟,具有适用性.

Quality control of the agricultural products supply chain based on"Internet+"

This paper describes a quality-control supply-chain model using the"Internet+"paradigm.The model is based on principal-agent theory,which considers the reputational loss due to inferior products and external responsibility identification.After model analysis and simulation verification,the results show that the optimal quality-control level and market price of agricultural products can be achieved in the agricultural supply chain based on"Internet+"if and only if the information platform’s claim to the agricultural producer is less than the agricultural producer’s claim to the delivery service provider.Also,a rise in consumers’claims or the agricultural producer’s reputational loss due to inferior products will motivate the quality control of an agricultural procedure.Meanwhile,the market price of agricultural products will also increase with enhanced quality control procedures.The quality-control level of a delivery service provider is inversely proportional to the information platform or its own reputational loss.Thus,the key to promoting quality control along the supply chain is to strengthen the responsibility confirmation of an inferior product between the agricultural producer and the delivery service provider.

ROBO-SPOT:Detecting Robocalls by Understanding User Engagement and Connectivity Graph

Robo or unsolicited calls have become a persistent issue in telecommunication networks,posing significant challenges to individuals,businesses,and regulatory authorities.These calls not only trick users into disclosing their private and financial information,but also affect their productivity through unwanted phone ringing.A proactive approach to identify and block such unsolicited calls is essential to protect users and service providers from potential harm.Therein,this paper proposes a solution to identify robo-callers in the telephony network utilising a set of novel features to evaluate the trustworthiness of callers in a network.The trust score of the callers is then used along with machine learning models to classify them as legitimate or robo-caller.We use a large anonymized dataset(call detailed records)from a large telecommunication provider containing more than 1 billion records collected over 10 days.We have conducted extensive evaluation demonstrating that the proposed approach achieves high accuracy and detection rate whilst minimizing the error rate.Specifically,the proposed features when used collectively achieve a true-positive rate of around 97%with a false-positive rate of less than 0.01%.

互联网经济中的“在线评价”及其影响——以北京地区外卖平台在线评论为例

网站商品“在线评价”有评分、图片、视频等多种形式,内嵌着社会公共价值观层面的“社会评价”,它们在不同维度上对互联网平台商家销量产生着重要影响。本调查以北京地区美团外卖平台72家快食简餐类商家为对象,从评论数量、评论效价、晒图率、评论长度四个角度进行实证分析。调查结果表明,好评率、评论数量对销量有显著的正向影响。“在线评价”背后的“社会评价”,反映着社会主义核心价值观在微观经济领域内的迅速普及,并对网络经营提出了新要求。

关于车联网联邦学习中可信信誉管理方法的研究

联邦学习由于其分布式、隐私保护等特点有望应用到车联网中,然而由于缺少相应的本地模型质量验证机制,全局模型容易受到恶意用户的攻击从而导致模型训练的准确率降低。提出一种车联网中分层区块链使能的联邦学习信誉管理架构。首先介绍整个架构的组成以及具体的工作流程,然后设计智能合约为系统提供更加灵活可信的信誉意见共享环境,并开发一种轻量级的区块链共识算法,以提升区块链的运行效率。仿真结果表明所提方法能够筛选出恶意用户,同时保证数据隐私和安全,从而提高FL的准确性。

面向物联网主从链结构的认证机制

物联网中不同系统间的认证已成为急需解决的问题,虽然通过单个区块链的分布式、去中心化的优势可以实现对物联网设备的可信访问和管理,但是区块链单链结构存在可扩展性低、吞吐量低的特点,导致设备认证效率低下。针对上述问题,提出基于主从链结构的物联网设备身份认证网络结构,引入信誉评估机制,通过选择信誉值高的共识节点并优化共识阶段,改进实用拜占庭共识(PBFT)算法,获得新的共识算法L-PBFT;设计认证智能合约,实现跨链的可信认证和可信交互。通过仿真实验对比L-PBFT算法和PBFT算法,结果表明L-PBFT的吞吐量比PBFT增加了44%,同时减少了拜占庭节点率,降低了认证请求的时延,提高了设备认证效率。

基于协作信誉和设备反馈的物联网边缘服务器信任评估算法

针对边缘服务器的安全问题,提出了一种集成了服务器协作信誉以及设备用户反馈的信任评估算法来提高边缘计算上下文的安全性。交互过程中,使用了一种基于客观信息熵理论的融合算法来聚合服务器间的协作信誉,同时采用了部分同态加密算法来防止交互过程中用户数据的泄露。交互结束后,选择高可信的设备节点计算反馈信任,克服了传统机制的恶意反馈。在计算全局信任时,考虑了服务器的期望评分和自适应的权重计算算法,克服了传统信任方案的局限性。实验结果表明,所提信任度计算方案具有较低的时间复杂度和空间复杂度,并且可以有效抵抗恶意节点的攻击行为。

网上拍卖与信誉机制的缺陷

网上拍卖成为互联网上一种重要的市场交易机制,能有效地提高交易效率和降低交易成本。本文分析了网上拍卖交易活动中信息不对称产生的原因、信誉机制的作用以及目前大多拍卖网站在信誉机制建设方面存在的缺陷,并给出了一些相应的对策措施。

自组织虚拟计算环境中的组信誉机制

借鉴人类社会中的组织构造与演化机制,提出一种基于组结构的信誉机制——组信誉机制.通过组信誉评价和信誉驱动的组演化机制的结合,一方面使得信誉模型具有更好的自主元素行为刻画能力和收敛特征;另一方面,基于组演化形成的自主元素聚集能够为实现自主元素基于信誉的差异化服务奠定基础,达到激励其积极参与和可靠服务的目的.

产品质量安全网络舆情下的企业网络声誉研究

产品质量安全问题成为顾客衡量企业声誉的重要内容,尤其在社会化媒体下,产品质量舆情对企业网络声誉的影响作用日趋明显。文章从网络舆情演化视角出发,分析了产品质量舆情对企业网络声誉的影响,建立了顾客感知的产品质量舆情与企业网络声誉的关系,基于两者间的相关性,以天涯论坛为例运用产品质量舆情量化了企业网络声誉值。结果显示,运用产品质量舆情的时间衰减特性、帖文内容影响分布、舆情演化高潮期等特性比仅仅依靠帖文数量测度企业网络声誉更具有合理性,为企业提升企业网络声誉提供了一种有效途径。