58 results about "Trust factor" patented technology

In one embodiment, a method for operating a server is provided. The method comprises receiving a plurality of reports from a community of users, each report identifying an email message as spam or not spam; and determining if the email message is spam based on a number of the reports received from the community of users, and a trust factor associated with each user.

A search engine system provides search results that are ranked according to a measure of the trust associated with entities that have provided labels for the documents in the search results. A search engine receives a query and selects documents relevant to the query. The search engine also determines labels associated with selected documents, and the trust ranks of the entities that provided the labels. The trust ranks are used to determine trust factors for the respective documents. The trust factors are used to adjust information retrieval scores of the documents. The search results are then ranked based on the adjusted information retrieval scores.

A method of providing a search engine for use on global computer networks which identifies and merges categories of information that reflect, influence and imitate intelligent choice by concurrently searching one or more of eight factors of consumer trust: books, experts, news and articles, associations, celebrities and pro choice, awards, web information and blogs and people's choice. The results from the search of these selected consumer trust factors are then combined to generate a final report.

The invention discloses a sensor network trust evaluation method based on node behaviors and a D-S evidence theory, comprising the following five steps: 1) designing various trust factor strategies for nodes in a wireless sensor network; 2) setting trust factor weights according to network application scenes and simultaneously calculating the node behavior coefficient mu to obtain the direct trust value and multiple indirect trust value of an evaluated object; 3) calculating a fuzzy subset membership function for each trust value by utilizing the concepts of membership and linguistic variables of a fuzzy set theory, performing fuzzy classification on the various the trust values to form the basic confidence function of the D-S evidence theory; 4) calculating the evidence difference of thedirect trust value and the indirect trust values of the evaluated node and altering the weights of the indirect trust values; and 5) adopting the Dempster synthesis rule to obtain the comprehensive trust value of the evaluated node and a final basic confidence designated value according to the altered trust weights. The invention solves the problem of difficult identification of malicious nodes in a network and ensures the safety of network data transmission.

An apparatus, system, and method are disclosed for determining the reliability of an estimate such as particulate accumulation on a diesel particulate filter, weighing the estimate according to a function of its reliability, weighing a prediction of particulate accumulation on the filter according to a function of the estimate's reliability, and combining the weighted estimate and weighted prediction to determine a combined particulate load estimate. The degree of reliability can be expressed as a trust factor, and a function of the trust factor can be used in a low-pass filter of the estimate. The trust factor value depends on filter air flow and particulate distribution in one embodiment. Regeneration of the particulate filter may be initiated depending on the value of the combined particulate load estimate.

A method for consolidating cloud service data and behaviors can begin with the compilation of user/service membership data that associates requesting entities with subscribed cloud services by a trusted cloud service consolidator. A federated trust library housing inter-service trust information for the cloud services contained in the user/service membership data can be created. In response to a service request from a requesting entity, trusted secondary cloud services can be identified for the requesting entity. Identification of the trusted secondary cloud services can be based upon trust factors synthesized from data contained in the federated trust library. Data satisfying the service request and associated behaviors from each trusted secondary cloud service can then be consolidated into a unified data structure. A behavior can be an executable action supported by a trusted secondary cloud service. The unified data structure can be conveyed to the requesting entity in a service response.

The invention relates to a clustered wireless sensor network cluster head election model based on an evolutionary game trust mechanism. The cluster head election model comprises three system models, namely, a wireless sensor network model, a JDL (Joint Director of Laboratories) model, and an evolutionary game model. According to the clustered wireless sensor network cluster head election model based on an evolutionary game trust mechanism provided by the invention, an improved JDL model and an evolutionary game algorithm are adopted, the dynamic characteristic of network communication and the time-effectiveness of trust are fully considered, an optimal cluster head is elected on the premise of considering trust factors such as communication, energy and data, and moreover, the computation overhead is optimized, and the energy of nodes is saved.

The invention discloses a dynamic trust model establishing system. By detailing cloud services and utilizing service attributes with finer grit as study subjects, direct trust value and indirect trust value of a service requester for a service provider are calculated, self-confident factors and trust factors are dynamically adjusted by evaluation similarity to obtain comprehensive trust value finally. The comprehensive trust value is used as indication value of trust relation between the service requester and the service provider, and the purpose of quantifying the trust relation of the service requester and the service provider completely and accurately is achieved. The service requester quantifies the trust relations of different service providers, the service provider with high comprehensive trust value can be conveniently selected according to practical application, and requirement of the service requester for personalization is met to the greatest extent.

An approach is provided for selecting one or more trust factors from trust factors included in a trust index repository. Thresholds are identified corresponding to one or more of the selected trust factors. Actions are identified to perform when the selected trust factors reach the corresponding threshold values. The identified thresholds, identified actions, and selected trust factors are stored in a data store. The selected trust factors are monitored by comparing one or more trust metadata scores with the stored identified thresholds. The stored identified actions that correspond to the selected trust factors are performed when one or more of the trust metadata scores reach the identified thresholds. At least one of the actions includes an event notification that is provided to a trust data consumer.

An approach is provided in which atomic trust scores are computed using a atomic trust factors that are applied to a plurality of metadata. A first set of composite trust scores are computed using some of the atomic trust scores. The composite trust scores are computed using a first set of algorithms. Some of the algorithms use a factor weighting value as input to the algorithm. A second plurality of composite trust scores is computed using some of the composite trust scores that were included in the first set of scores as input. A fact and one of the second set of composite trust scores are presented to a user. The presented composite trust score provides a trustworthiness value that corresponds to the presented fact.

The invention provides a CF (collaborative filtering) recommendation method fusing matrix decomposition and user project information mining. The CF recommendation method comprises the following steps:reading historical score data and project type data information of a user on an article; based on the FunkSVD model, optimizing and decomposing the user score matrix, and adding a similarity factor to calculate and generate a user score prediction matrix; calculating optimal similarity by optimizing CF users and project information occupying different proportions, predicting user scores, and generating Top-N recommendation lists. The method has the advantages that (1) the user scoring matrix is optimized and decomposed based on the FunkSVD model, and the trust factor is added to predict the user scoring matrix, so that the problem of low prediction accuracy caused by data sparseness of a traditional matrix decomposition model is relieved; (2) similarity is calculated based on the user information and the project information, and the problem of cold start caused by excessive dependence on historical data in a traditional recommendation algorithm is solved; and (3) a trust degree relationship between users is introduced, so that the recommendation precision and interpretability of a traditional CF recommendation algorithm are improved.

The invention discloses a multi-relay cooperative cognitive underwater acoustic system relay selection and power optimization method, which is characterized in that a relay trust factor is built to evaluate the relay performing in allusion to conditions of spectrum resource shortage, channel fading and severe time delay in underwater acoustic communication by adopting a relay trust factor proportion weighted cooperative sensing method and a DF forwarding protocol based underwater acoustic multi-relay selection and power optimization method, relays participate in cooperative sensing in a mode of proportion weighting, and the sensing accuracy is effectively improved. Meanwhile, network interference limitations and residual energy are brought into a utility function in a multi-relay cooperative network, relay selection and power optimization are performed based on a genetic algorithm from the perspectives of power optimization and residual energy consumption, and the network is enabled to be more balanced in energy consumption.

A system and method for ranking providers is provided. The method may include ranking information providers based on their focus and trust in specific keyword contexts. The focus trust rank assigned to a specific information provider may be calculated from their focus for a given keyword that is the subject of an information search. A provider's focus trust rank may additionally or alternatively be calculated based on one or more of the total keyword count set by the provider, the number of consumers who trust the provider, matching trust factors, or a measure of a maturity of the provider in a system using the method for ranking and, thus, filtering providers. Consumers may optionally be provided with the ability to apply their personalized list of focused and trusted providers to transform the results of a full text search such that their trusted providers always rank to the top and optionally can trust providers which are returned in the search.