94 results about "Trust score" patented technology

Embodiments of the present invention provide methods, systems, and software for implementing evaluating online entities and/or for providing a trust score for such entities. The trust score may provide an indication of the trustworthiness of the online entity. In some cases, data may be obtained from a variety of sources, and such data may be used to evaluate an online entity and/or to provide a score for the entity. In an aspect of the invention, a plurality of trust scores, each of which related to a behavioral characteristic and/or a category of activity, may be assigned to a particular entity. Such scores may be stored in one or more data stores and/or may be provided to others.

A client platform can be verified prior to being granted access to a resource or service on a network by validating individual hardware and software components of the client platform. Digests are generated for the components of the client platform. The digests can be collected into an integrity report. An authenticator entity receives the integrity report and compares the digests with digests stored in either a local signature database, a global signature database in an integrity authority, or both. Alternatively, the digests can be collected and stored on a portable digest-collector dongle. Once digests are either validated or invalidated, an overall integrity/trust score can be generated. She overall integrity/trust score can be used to determine whether the client platform should be granted access to the resource on the network using a policy.

According to an embodiment, a data processing system for facilitating consumer identity resolution comprises: a first logic module adapted to receive at least two collections of consumer records from at least two different sources; a second logic module adapted to compute first trust scores for first data fields of the first collection and second trust scores for second data fields of the second collection; a third logic module adapted to generate a master collection of consumer records comprising at least one master consumer record that is correlated to a record from the first collection and a record from the second collection, the correlation being based on at least on the trust scores; and a fourth logic module adapted to receive a set of contextual transaction data. The data processing system is adapted to identify a consumer based on the contextual transaction data and the master collection of consumer records.

A target device may have a target application and a web application thereon, and a trust broker may generate an application token having associated therewith a state attribute having at least one of a hash digest and a property value assertion, and weighted trust score. The application token may correspond to a level of trustworthiness, in near real time, of a running application instance of the target application. A trust monitor may monitor an execution state of the target application, and an authentication broker may authenticate a user to the web application and based upon a web services query for remote verification of the target application. A network access enforcer may control access of an authenticated user to the target application, and a trust evaluation server may interrogate the target application and generate a trust score.

A user device is associated with a dynamic trust score that may be updated as needed, where the trust score and the updates are based on various activities and information associated with the mobile device. The trust score is based on both parameters of the device, such as device type, registered device location, device phone number, device ID, the last time the device has been accessed, etc. and activities the device engages in, such as amount of transactions, dollar amount of transactions, amount of denied requests, amount of approved requests, location of requests, etc. Based on a transaction request from the user device, the trust score and a network reputation score is used to determine an overall trust/fraud score associated with the transaction request.

A method comprising: providing a database comprising: a plurality of organizations; a plurality of members; and a plurality of questions; generating an assessment for each of the plurality of members from a subset of the plurality of questions; serving each assessment generated to each of the plurality of members; receiving a completed assessment comprising answers; recording in the database each member's completed assessment; generating a report for at least one of the plurality of organization's eco-system wherein the eco-system comprises members from the plurality of members and the report comprises a trust score for the eco-system.

An approach for multi-sensor multi-factor identity verification. An identity verification platform determines biometric data associated with a user from one or more sources. The one or more sources are associated with one or more respective network sessions. The platform generates one or more respective trust scores for the one or more sources, the one or more respective network sessions, or a combination thereof based on one or more contextual parameters associated with the user, the one or more sources, the one or more respective network sessions, or a combination thereof. Then the platform verifies an identity of the user based on the biometric data and the one or more respective trust scores.

A system is described for a Dynamic Online Email Catalog useful in providing a means to collect, categorize, arrange, store and display direct email marketing messages for the benefit of users by way of secure web access to assigned private user areas. The catalog further provides a means for ranking received email messages within specific product or service categories with priority placement given to those messages originating with product or service providers having the highest trust scores in which the score is a number representing an average time that a user's email address is active with a specific provider. Also described is a system and method for searching Internet records involving the receiving of a search request, prioritizing records according to trust score with those associated with product and service providers having the highest trust score receiving priority placement.

A router includes a management module and a routing module. The routing module can be used to route data around a network. The management module can be used to manage the operation of the routing module, including generating an integrity report for the router, which can be used to generate a trust report for the router. The trust report can include an integrity/trust score for the router. The management module can control the routing module via a secure control interface.

A method, using trust software executing from a machine-readable medium on a computerized appliance operating as a trust authority, to assign to a person, a file, or an enterprise an indication of trustworthiness, includes steps of (a) assembling information concerning the person, file, or enterprise; (b) applying trust logic to the information assembled for individual ones of the persons, files or enterprises to assign a trust score; and (c) storing the score associated with at least an identity of the person, file or enterprise.

Messaging patterns for a plurality of subscribers are obtained and analyzed to determine a “trust score” that is an indication of the likelihood that a given message for a particular subscriber is of interest, as opposed to unwanted, e.g., spam or telemarketing phone calls. Subscribers establish or set trust score thresholds and call processing actions to take based on the thresholds and the trust score for a given incoming communication. For example, if a subscriber establishes a processing action of “block call” for calls with a “low” threshold trust score, and an incoming message (email, SMS, instant message, or phone call) has a trust score of “low” or “very low”, the message is blocked. Conversely, if the trust score for the message is “high” and the user has specified to pass through “high” trust score messages, the message is passed through. Various algorithms can be used compute trust scores based on messaging patterns.

An enhanced social network module associated with an entity may create a social network for an individual, group, and/or organization. The module may then use the social network to determine risk associated with insuring a member of the social network. The determined risk may be used to calculate a rate for insuring the member. Additional features of the module may allow for the calculation of a group rate for insuring all members of the social network, the calculation of various centrality measures for each member of the social network, the calculation of a trust score for any given member, and the ability to poll members of the social network to determine various characteristics of any given member.

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.

Methods, devices, and systems are provided for filtering packets and other communication messages or portions thereof. Particularly, mechanisms are provided for efficiently determining and applying a set of trust-based filtering rules. Trust scores may be assigned to various connections and packets received on a particular connection may have filtering rules applied thereto in accordance with the trust score of the connection.

Providing peer-to-peer network security includes collecting, by a local trusted network device, local trust data related to behavior of the local trusted network device, receiving, by one or more remote trusted network devices, additional trust data for the local trusted network device, calculating a combined trust score for the local trusted network device based on the local trust data and additional trust data, and modifying activity of the local trusted network device based on the combined trust score.

User trust scores based on registration features is described. A system identifies registration features associated with a user registered to interact with a database. The system calculates a registration trust score for the user based on a comparison of multiple registration features associated with the user to corresponding registration features associated with previous users who are restricted from interacting with the database and/or corresponding registration features associated with previous users who are enabled to interact with the database. The system restricts the user from interacting with the database if the registration trust score is above a registration threshold.

Signatures are generated for modules in a computer system. The signatures can be assembled into an integrity log. The signatures are compared with signatures in a database in an integrity validator. Once signatures are either validated or invalidated, a trust score can be generated. The trust score can then be used to determine whether the computer system should be granted access to a resource using a policy.

A method and computing system for establishing a broadcast account for a user of an internet-based broadcasting system. An initial trust level is assigned to the broadcast account. The initial trust level is chosen from a plurality of predefined trust levels. A trust score is determined for the broadcast account. The trust score is based, at least in part, upon one or more activities of the user. The initial trust level is adjusted based, at least in art, upon the trust score.

The invention discloses trusted computing nodes (TCNs) configured to control their location and migration of applications run on virtual machines resident thereon. The invention allows a controlled use of cloud computing resources and virtual network functions by sensitive applications. This is achieved by embedding a secure processing unit (SPU) and a localization unit (LU) in the TCNs. The LU acquires GNSS signals and the TCN generates a secure location message comprising a secure ID and a locstamp of the TCN. A TCN Registry may be created by an operator of a collection of TCNs as a database of trust scores of the trusted computing nodes which will be used to control the allocation of tasks to said TCNs based, at least in part; on the trust scores. The trust scores may also be used directly by the other TCNs to allocate the tasks which they have control on.

The embodiment of the invention provides an attack defense method and device, and the method comprises the steps: when access flow is monitored, the performance state of equipment is determined; when the performance state is a target state, a score value corresponding to the access flow is determined; calculation is performed according to the present performance data, and a trust threshold value of the equipment is determined; when the score value is lower than the trust threshold value, whether the access flow matches with a preset attack characteristic is determined; and when the access flow matches with the attack characteristic, the access flow is cut. According to the embodiment, a trust score function of WAF equipment is triggered under a flow excess pressure state, whether the score value corresponding to the access flow is lower than the trust threshold value is judged to determine if the access flow needs to be subjected to a deep attack detection, so that attack flow can be detected and intercepted, safety of web server can be ensured, which means, the protecting effect is reached.