Yahoo! Inc.

Oath Inc.

Communities.com

Chip Morningstar

F Randall Farmer

Neal J Sample

Mohammad Mohsenzadeh

Miles Libbey

A real-time asynchronous event aggregation system, method, and network device are configured to capture real-time asynchronous events, and to pass them as input to one or more aggregation engines to determine a reputation for a target. The aggregation engine(s) may then send out notifications where a reputation category changes for a target, indicating that an action may be taken to inhibit spam messages from the target, highlight a display of content from the target, or the like. As such, the event-driven aggregation engines may be designed to capture real-time asynchronous events, such as reputation reports for a wide variety of activities, including, but not limited to spam and/or not-spam messages, determining a reputation on a posting of comments to a movie, a blog posting, a play list posting, or the like. In one embodiment, a reputation of the sender of the reputation event may also be determined.

Real-time asynchronous event aggregation systems

A network device and method are directed towards detecting and blocking spam within a message by rapidly performing a predication analysis based on early received sender reputation reports. Reputation reports may be received from a plurality of users receiving messages that they interpret as either spam or non-spam. A reputation report rate prediction table is employed to predict the total number of user reports that will occur. The total number of spam reports and not spam (ham) reports for may then be used with a sender categorization model to rapidly predict whether the sender is likely to be a spammer. If the sender is determined to be a spammer, various preventative actions may be taken, including, but not limited to blocking messages from the sender to users, alerting third party filter generators of the spammer, or the like.

Detecting spam messages using rapid sender reputation feedback analysis

A communication system and method includes unums distributed over at least a single presence and including a selected plurality of ingredients. An unum is established by creating ingredients at the level of its interface and attributes; and at the level of its implementation; and interconnecting ingredients into presences and unums. Communication between ingredients is accomplished within a single presence, across an unum boundary within an agency, or within a single unum across a presence boundary. Trust boundaries are established between presences and unums to establish a predetermined level of communications security in messaging between ingredients.

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Palo Alto, CA, United States of America

Chip Morningstar