Microsoft Technology Licensing, LLC

Sandisk Corporation

Jason D Walter

Krishna C Vitaldevara

Eliot Carleton Gillum

Mehrdad Bidgoli

Vasantha K Vemula

Malcolm Hollis Davis

Geoffrey John Hulten

Douglas John Hines

Robert L McCann

Mihai Costea

Aditya Bansod

Milenko Drinic

Fang Yu

Martin Abadi

Wei Jiang

Yinglian Xie

Ivan Osipkov

Kevin H Lau

Charles Reeves Little

Michael James Ahiakpor

Paul M Midgen

Aravind K Ramachandran

Samuel J L Albert

Zhuoqing Morley Mao

Ariel Nicolas Gordon

Qifa Ke

Aleksander R Kolcz

Ryan Charles Colvin

Chad W Mills

Joshua Korb

Hersh Dangayach

Krish Vitaldevara

Yuxiang Xu

Junxian Huang

Harsh Satyanarayan Dangayach

Samuel J Albert

John H Forrest

Robert Lee Mccann

Joshua David Korb

Message management and classification techniques are described. In one or more implementations, a message received from a sender for delivery via a user account is examined to extract one or more features of the message. A determination is then made as to whether the message corresponds to one or more categories based on the extracted features, the categories usable to enable features to be applied to the message in a user interface.

Message classification and management

An identity provider IP service provides an optimized sign out experience for a user accessing a single account service. The IP service designates a first account of a service as signed in based on first credentials provided by a user. The IP service provides a first security token for the first account to the service. Upon receiving a first sign out notification, the IP service determines whether the user wants to switch to a second account of the service. Upon determining that the user wants to switch to the second account, the IP service designates the second account as signed in based on second credentials provided by the user, provides a second security token for the second account to the service, and designates the first account as soft signed out so that the user can switch to the first account without re-providing the first credentials.

Optimized sign out for single account services

Techniques involving identification of electronic messages that are the first contact between the sender identification and addressed recipients. One representative technique includes identifying electronic messages originating from a sender that are first contact electronic messages between the sender and targeted recipients. The sender of the electronic messages may be designated as a source of unsolicited messages if heuristics involving the first contact electronic messages indicate a distribution of unsolicited messages by the sender.

Identifying first contact unsolicited communications

Geo-data spam filters are described. In one or more implementations, origin data and language data of a message are evaluated to establish a score for the message indicating a likelihood that the message is spam. The evaluation includes comparing the origin data and the language data to ranked lists indicating message origins and languages with which a respective message recipient interacts positively and ranked lists indicating message origins and languages with which the respective recipient interacts negatively. Interactions of the respective recipient with previously sent messages may be tracked to form these lists. Based on the score established by evaluating the origin data and the language data of the message, the message is filtered for delivery.

Geo-data spam filter

The filtering of activities generated by nodes of a network while interacting with a device may be performed by evaluating the desirability of the activities (e.g., a spam or not-spam determination of email messages sent by the node) and assigning a trust rating to the node. However, nodes are often identified by network address, and an operator of a node sending undesirable activities may reassign the network address of the node in order to avoid heavy filtering. Instead, nodes may be identified as being controlled by a network entity (e.g., an autonomous system identified in a border gateway protocol routing table.) The network entity is assigned a network entity trust rating based on the trust ratings of the nodes controlled thereby, and an appropriate level of activity filtering based on the network entity trust rating may be selected for subsequent activities received from all nodes controlled by the network entity.

Activity filtering based on trust ratings of network

The claimed subject matter provides a method for detecting compromised accounts. The method includes receiving a communication from a sender's account to a recipient. The sender's account is associated with a sender. The method also includes presenting a compromised account reporting interface to the recipient based on specific conditions. Further, the method includes receiving a selection by the recipient indicating the sender's account is compromised. The method also includes determining that the sender's account is compromised based on the selection. Additionally, the method includes generating, in response to a selection by the recipient, a report indicating that the account is compromised.

Reporting compromised email accounts

Campaign detection techniques are described. In implementations, a signature is computed for each of a plurality of emails to be communicated by a service provider to respective intended recipients. A determination is made that two or more of the plurality of emails is similar based on the respective signatures. Responsive to a finding that a number of similar emails exceeds a threshold, an indication is output that the similar emails have a likelihood of being involved in a spam campaign.

Campaign detection

A computer implemented method for filtering unwanted bulk email in an email system and providing a positive user experience is provided. The method enables protection of email users from unsolicited bulk email using user-provided data on user interactions at both a user storage level and a global level with an email system. Metadata on user interactions with messages is collected. Messages are received by the system and evaluated using a global filter which assigns a score resulting in a message action. The action may be message delivery, message non-delivery or message routing, based on a score assigned by the global filter. When the message is delivered to user storage, the message may be examined relative to the metadata, and may alter the message action to an action different than the message action resulting from the score. Metadata for a plurality of users is returned to the global filter for use in making filtering future messages and modifies the global filter.

Personalized email interactions applied to global filtering

A system and method of managing unsolicited email sent to an email system over a network. Email messages are received at an message at an inbound mail transfer agent. A determination is made as to whether the email message is suspected to be an unsolicited suspect message. One or more queries for additional information on one or more characteristics of the message is initiated. Determinations are made based on replies to the queries before issuing a message accepted for delivery indication to a sending server.

Real-time spam look-up system

A computer implemented system and method to enable protection of email users from unsolicited bulk email using a message delivery delay based on characteristics detected in selected messages. Messages are evaluated for characteristics resembling unsolicited bulk email. A determination is made whether a message passing through the email system exhibits such characteristics and whether to delay the message. Suspect messages may be delayed for a period of time, the delay period being dependent on the characteristics giving rise to a determination to delay. Following the period, additional information received during the delay period characterizing the message is used to determine whether to dispose or deliver the message. Messages evaluated can be inbound to the email system, outbound to other email systems, or moving within the email system.

Delaying inbound and outbound email messages

Trusted user accounts of an application provider are determined. Graphs, such as trees, are created with each node corresponding to a trusted account. Each of the nodes is associated with a vouching quota, or the nodes may share a vouching quota. Untrusted user accounts are determined. For each of these untrusted accounts, a trusted user account that has a social networking relationship is determined. If the node corresponding to the trusted user account has enough vouching quota to vouch for the untrusted user account, then the quota is debited, a node is added for the untrusted user account to the graph, and the untrusted user account is vouched for. If not, available vouching quota may be borrowed from other nodes in the graph.

Vouching for user account using social networking relationship

Geo-data spam filters are described. In one or more implementations, origin data and language data of a message are evaluated to establish a score for the message indicating a likelihood that the message is spam. The evaluation includes comparing the origin data and the language data to ranked lists indicating message origins and languages with which a respective message recipient interacts positively and ranked lists indicating message origins and languages with which the respective recipient interacts negatively. Interactions of the respective recipient with previously sent messages may be tracked to form these lists. Based message, the message is filtered for delivery. on the score established by evaluating the origin data and the language data of the

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Jason D Walter