446 results about "Trustworthiness" patented technology

Instrumented networks, computer systems and platforms having target subjects (devices, transactions, services, users, organizations) are disclosed. A security orchestration service generates runtime operational integrity profiles representing and identifying a level of threat or contextual trustworthiness, at near real time, of subjects and applications on the instrumented target platform. Methods and systems are disclosed for calculating security risks by determining subject reputation scores. In an embodiment, a system receives a query for a reputation score of a subject, initiates directed queries to external information management systems to interrogate attributes associated with the subject, and analyzes responses. The system receives a hierarchical subject reputation score based on a calculus of risk and returns a reputation token. In another embodiment, a method provides real time attestation of a subject's reputation to a service provider using an endpoint trust agent, and a trust orchestrator comprising a reputation broker and a trust broker.

A system and computer-implemented method are provided for predicting user trustworthiness through location-based verification with social networking, and for providing an on-line platform for communicating trustworthiness information between different users. The system collects user time and location data to verify the trustworthiness of user transactions. Trustworthiness ratings are established in part by tracking, for particular transactions, time-varying geographic locations of one or more remote computing devices of one or more users associated with the particular transactions, and comparing the time-location data for the particular transactions with one or more time-based attributes or location-based attributes of the transactions.

A method of encouraging charitable donations by individuals who are members of a social network is disclosed. A user creates a member account by supplying user identity data from the user and creates a campaign, wherein the created campaign is associated with one or more charities and a financial goal. The user sends invitation to one or more members or non-members and the one or more members or non-members may accept or decline the user's invitation. The one or more members are given the option to donate any amount of money to a charity to post comments about the user, where the monetary value of the donation is associated with the comments posted such that a higher amount donated represents a higher trustworthiness of the comments. The one or more members or non-members may support the campaign by donating money to the one or more charities to help reach the financial goal. One or more user weight values are calculated based at least on a total volume of members or non-members who support the campaign by donating money to the one or more charities and / or a total monetary value of the money donated by the one or more members or non-members, where the one or more user weight values represent reliability of a user's reputation.

Described herein are methods, network devices and machine-readable storage media for detecting whether a message is a phishing attack based on the collective responses from one or more individuals who have received that message. The individuals may flag the message as a possible phishing attack, and / or may provide a numerical ranking indicating the likelihood that the message is a possible phishing attack. As responses from different individuals may have a different degree of reliability, each response from an individual may be weighted with a corresponding trustworthiness level of that individual, in an overall determination as to whether a message is a phishing attack. A trustworthiness level of an individual may indicate a degree to which the response of that individual can be trusted and / or relied upon, and may be determined by how well that individual recognized simulated phishing attacks.