Verizon Patent and Licensing Inc.

Yahoo! Inc.

Oath Inc.

Aaron John Klish

Matthew Robert Ahrens

Jon Kilroy

Emily Bernotas

Kima Kheirolomoom

Richard Pace

Kevin Andrew Perkins

Greg Muchnik

Mithilesh Nanjamanaidu Sriniva

One or more computing devices, systems, and/or methods for determining statuses of objects using sensors are provided. For example, a first signal is received from a first device comprising a first sensor. The first signal is indicative of a first identifier associated with a first object that the first device is coupled to and/or one or more first properties detected by the first sensor. A first status associated with the first object is determined based upon the first identifier and/or the one or more first properties. In an example, a system comprises a first device coupled to a first object. The first device comprises a first sensor configured to detect one or more first properties of the first object. The first device comprises a first transmitter configured to transmit a first signal indicative of the one or more first properties and/or a first identifier associated with the first object.

Sensor-based object status determination

One or more computing devices, systems, and/or methods are provided. One or more first signals received from one or more first devices may be monitored. One or more first threat indicators within a first signal of the one or more first signals may be detected. One or more second signals may be analyzed to determine a probability of a threat event. One or more second devices of a plurality of devices may be selected, based upon the probability, for transmission of one or more messages associated with the threat event.

Detecting threat events

One or more computing devices, systems, and/or methods are provided. Activity of one or more client devices may be analyzed to detect one or more sets of network traffic. A set of network traffic may comprise transmission of data by a client device to one or more first hosts and/or reception of data by the client device from one or more second hosts. The one or more sets of network traffic may be analyzed to generate a set of network traffic information associated with a first application. The set of network traffic information may be indicative of a first set of hosts associated with the first application. It may be determined that first network traffic associated with a client device is associated with the first application based upon the first network traffic and the set of network traffic information associated with the first application.

Application identification using network traffic

The present invention provides techniques for use in electronic and online advertising. Techniques are provided in which an advertiser provides information specifying a time-spaced sequence of advertisements to be targeted and served to a particular user, across a number of different devices and screens. Each advertisement in the sequence may be served to the user while the user is using a particular electronic device. The sequence of advertisements as a whole may be optimized with regard to eliciting a particular response from the user, and each advertisement may be optimized regarding its order in the sequence and the type of device or screen on which it is to be served.

Cross-screen advertising campaign sequencing

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Savoy, IL, United States of America

Aaron John Klish