A Multi-dimensional Trust-aware Cloud Service Selection Mechanism Based on Evidential Reasoning Approach

In the last few years, cloud computing as a new computing paradigm has gone through significant development, but it is also facing many problems. One of them is the cloud service selection problem. As increasingly boosting cloud services are offered through the internet and some of them may be not reliable or even malicious, how to select trustworthy cloud services for cloud users is a big challenge. In this paper, we propose a multi-dimensional trust-aware cloud service selection mechanism based on evidential reasoning(ER) approach that integrates both perception-based trust value and reputation based trust value, which are derived from direct and indirect trust evidence respectively, to identify trustworthy services. Here, multi-dimensional trust evidence, which reflects the trustworthiness of cloud services from different aspects, is elicited in the form of historical users feedback ratings. Then, the ER approach is applied to aggregate the multi-dimensional trust ratings to obtain the real-time trust value and select the most trustworthy cloud service of certain type for the active users. Finally, the fresh feedback from the active users will update the trust evidence for other service users in the future.     

一种直接评价节点诚信度的分布式信任机制

基于信誉的信任机制能够有效解决P2P网络中病毒泛滥和欺诈行为等问题.现有信任机制大多采用单个信誉值描述节点的诚信度,不能防止恶意节点用诚信买行为掩盖恶意卖行为;而且从信誉值上无法区分初始节点和恶意节点.提出一种新的分布式信任机制,基于交易历史,通过迭代求解,为每个节点计算全局买信誉值和卖信誉值,根据信誉值便能判断节点的善恶.仿真实验对比和性能分析表明,与EigenTrust算法相比,该算法能够迅速降低恶意节点的全局信誉值,抑制合谋攻击,降低恶意交易概率.     

基于区块链的多微网智能交易策略

随着配电网侧电力市场的开放,电力交易参与者呈现多元化,电力交易策略也不尽相同。针对多微网电力交易现有研究存在的没有完整的交易过程及多为集中式交易两方面问题,提出了基于区块链的多微网智能交易策略。首先,建立了基于区块链的多微网智能交易架构,为多微网交易提供去中心化的交易平台。然后,建立多微网电力交易策略,首轮交易时微网节点考虑交易成交风险因子进行报价,经过两阶段竞价撮合,根据考虑信誉度的出清策略进行市场出清,下一轮交易时可自适应调整风险因子,以获取更高的效益。最后,建立信誉度共识机制实现数据的一致性。仿真结果证明了交易策略和信誉度共识机制的有效性。     

Privacy‐friendly weighted‐reputation aggregation protocols against malicious adversaries in cloud services

Reputation systems are used for evaluating trustworthiness of the users based on their feedback (i.e., votes) about each other. Such systems are particularly important for cloud service providers, as they allow them to collect and aggregate feedback on the past behavior of users. Weighted‐reputation aggregation is a protocol, where the vote server has a weight vector for all voters, each voter has a vote score y_i, and they cooperate to compute . We call it ‘privacy‐friendly’, if the respective inputs are kept private. In other words, a privacy‐friendly weighted aggregation protocol is a secure evaluation for functionality . In this work, we propose two privacy‐friendly weighted‐reputation aggregation protocols: one in semi‐honest model and another one in malicious model. The latter protocol uses the cryptographic primitives of homomorphic encryption, verifiable encryption, and the proof of knowledge of a discrete logarithm. Our protocols need only two rounds of communications, which is very efficient in practice. Our protocols are secure against the collusion of at most n ? 2malicious adversaries. Copyright © 2014 John Wiley & Sons, Ltd.     

基于信任域的P2P访问控制模型研究

P2P作为一项愈来愈流行的技术,在资源共享和协同协作方面有崭新的应用。但是这种新的技术面临传统的网络所未曾遇到的网络安全方面的严重考验。文中从实际应用出发,分析了现有的访问控制技术并在此基础上提出一种新的基于信任域的P2P访问控制模型。该模型不同于传统的基于PKI的访问控制模型,它能够在信任管理的基础上对P2P用户进行域划分,并针信任对域制定访问控制策略,从而使得访问控制在实际应用中更加简洁和可行。     

技术革新信息的盗用和公司声誉

在市场买卖关系中，有关技术革新信息在交流时被盗用问题会影响交易双方的研究开发投资、利润和效用函数。在研究分析双方的技术革新信息交流及盗用的基础上，认为：公司声誉是双方利益博弈中一个重要变量，在双方的策略性行动中起着重要作用，而且信息盗用违背了商业道德的底线。     

The Effects of Overhearing Peers Discuss an Authority's Fairness Reputation on Reactions to Subsequent Treatment.

Fairness heuristic theory was used to examine how information from one's peers affects an individual's interpretation of, and reactions to, an authority's subsequent behavior. Participants (N=105) overheard their peers discuss an experimenter's reputation (fair, unfair, or absent) before interacting with the experimenter who behaved more versus less fairly. Results showed that the social cues biased participants' subsequent information processing: Controlling for the experimenter's behavior, interactional justice mediated the effect of social cues on retaliation. Social cues and the authority's behavior also interacted to predict retaliation. Participants who were treated less fairly retaliated more after being led to expect fair treatment than did participants who heard no prior information about the experimenter. (PsycINFO Database Record (c) 2010 APA, all rights reserved)     

A Dynamic Reputation–based Consensus Mechanism for Blockchain

In recent years, Blockchain is gaining prominence as a hot topic in academic research. However, the consensus mechanism of blockchain has been criticized in terms of energy consumption and performance. Although Proof-of-Authority (PoA) consensus mechanism, as a lightweight consensus mechanism, is more efficient than traditional Proof-of-Work (PoW) and Proof-of-Stake (PoS), it suffers from the problem of centralization. To this end, on account of analyzing the shortcomings of existing consensus mechanisms, this paper proposes a dynamic reputation-based consensus mechanism for blockchain. This scheme allows nodes with reputation value higher than a threshold apply to become a monitoring node, which can monitor the behavior of validators in case that validators with excessive power cause harm to the blockchain network. At the same time, the reputation evaluation algorithm is also introduced to select nodes with high reputation to become validators in the network, thus increasing the cost of malicious behavior. In each consensus cycle, validators and monitoring nodes are dynamically updated according to the reputation value. Through security analysis, it is demonstrated that the scheme can resist the attacks of malicious nodes in the blockchain network. By simulation experiments and analysis of the scheme, the result verifies that the mechanism can effectively improve the fault tolerance of the consensus mechanism, reduce the time of consensus to guarantee the security of the system.     

How to understand “salable fake goods” and “unsalable quality goods”? An insight from the view of quality responsibility and consumers’ brand loyalty

A body of theoretical and practical research suggests technology innovation is the driving force for enterprise survival and development and that maintaining business ethics is an important guarantee in sustaining these enterprises developments. Fulfilling the “hard responsibility” of product quality based on technical standards and the “soft responsibility” of product quality based on business ethics is an important principle stimulating the benign interaction and continuous progress of technological innovation and business ethics, and realizing a balanced development of enterprises and society, which could promote positive brand and enterprise image to both stakeholders and consumers, helping consumers choose high-quality products in the market and social competition. However, the strange marketing phenomena of “salable fake goods” and “unsalable quality goods” shows that no systematic marketing strategies have been identified to date, that enterprises could adopt to effectively promote the recognition of consumers and turn them into a loyal customer group and have a stable market share. Based on customer buying behavior theory, cognitive consistency theory, signal theory, and social identity theory, this study explored the influencing mechanism of quality responsibility on brand loyalty of consumers and the mediating role of corporate reputation and brand identification, using 224 valid questionnaires from 16 communities (residents) in Shanxi and Henan provinces of China tested by SPSS 20.0 and AMOS 25.0. Results show that quality responsibility has a significant positive influence on brand behavior loyalty and brand attitude loyalty, and both corporate emotional reputation and brand identification play mediating roles in the relationship between quality responsibility and brand behavior loyalty, and quality responsibility and brand attitude loyalty. Additionally, corporate cognitive reputation only plays a mediating role in the relationship between quality responsibility and brand behavior loyalty. Obtained conclusions in the study provide references for enterprise managers and government decision-makers in exploring management strategies of expediting future technological development and next-generation upgrades & transformations, improving quality and technology benchmarks, optimizing product quality responsibility system and promoting sustainable social development.     

加强房地产企业管理的思考

介绍了房地产企业声誉管理的内涵及其重要性 ,结合房地产企业声誉管理的现状 ,从提升房地产企业经营理念 ,强化声誉决策管理等方面 ,提出了加强房地产企业声誉管理的对策和建议