Abstract: A method of providing network data to a Station includes receiving, by an Access Point of a plurality of Access Points, a request for network link data output by the Station, to be used by the Station in deciding which of the plurality of Access Points to connect to; initiating, by the Access Point, backhaul measurements over a wireless network that includes the Access Point and a Gateway; obtaining and storing, by the Access Point, backhaul measurement data based on the backhaul measurements performed; and providing the backhaul measurement data to the Station.

Abstract: The various aspects provide for a computing device and methods implemented by the device to ensure that an application executing on the device and seeking root access will not cause malicious behavior while after receiving root access. Before giving the application root access, the computing device may identify operations the application intends to execute while having root access, determine whether executing the operations will cause malicious behavior by simulating execution of the operations, and pre-approve those operations after determining that executing those operations will not result in malicious behavior. Further, after giving the application root access, the computing device may only allow the application to perform pre-approved operations by quickly checking the application's pending operations against the pre-approved operations before allowing the application to perform those operations.

Abstract: Disclosed are methods, apparatus, computer readable media and other implementations, including a method for communicating network information. The method includes transmitting a request message from a mobile device to an access point, and receiving, at the mobile device, a reply message transmitted from the access point in response to receiving the request message, the reply message including data representative of a transmitted signal power level at the access point of the reply message. The method further includes determining, based on the received reply message including the data representative of the transmitted signal power level at the access point, a received signal power level at the mobile device of the reply message, and a round trip time from a first time instance when the request message was transmitted from the mobile device to a second time instance when the reply message was received at the mobile device.

Abstract: During access point discovery, an initial list of access points available for connection is generated. The received signal strength indication (RSSI) and round trip time (RTT) delay for the access points in the initial list are measured, e.g., during discovery and by a plurality of active measurements. The initial list is pruned based on an initial and subsequent RSSI and RTT measurements to produce a master list of access points. The pruning of the initial list of access points may be based on the differentials in the RSSI measurements and the RTT measurements as well as a determination of access points that the mobile device is moving away from. As the mobile device moves to different locations, access points from the master list may be selected and connected with based on the expected duration of availability as determined by RSSI and RTT measurements.

Abstract: In one implementation, a method may comprise: storing a user profile indicative of at least one attribute of a user of a mobile station; determining a measurement value based, at least in part, on a signal from at least one sensor on the mobile station; and estimating a location of the mobile station based, at least in part, on an association of the at least one attribute and the measurement value with a context parameter map database.

Abstract: Methods, systems and devices use operating system execution states while monitoring applications executing on a mobile device to perform comprehensive behavioral monitoring and analysis include configuring a mobile device to monitor an activity of a software application, generate a shadow feature value that identifies an operating system execution state of the software application during that activity, generate a behavior vector that associates the monitored activity with the shadow feature value, and determine whether the activity is malicious or benign based on the generated behavior vector, shadow feature value and/or operating system execution states.

Abstract: Techniques described herein enable a mobile device in selecting an access point (AP) from a plurality of APs for determining the position of the mobile device. In one aspect, the mobile device receives assistance data including traffic load information associated with one or more APs. The mobile device may determine which AP to communicate with based on the traffic load information associated with a plurality of APs. The assistance data including the traffic load information associated with the plurality of APs may be compiled using information from a controller connected to the plurality of APs, crowdsourcing (using information from a plurality of mobile devices over time), or information regarding the traffic conditions received from the plurality of APs. In one implementation, the mobile device may receive the assistance data information including the traffic load information from an assistance data (AD) Server.

Abstract: Example methods, apparatuses, or articles of manufacture are disclosed herein that may be utilized, in whole or in part, to facilitate or support one or more operations or techniques for detecting location changes and monitoring assistance data via scanning for use in or with a mobile device. Briefly, in accordance with at least one implementation, a method may include obtaining, at a mobile device, a rough estimate of a location of the mobile device; identifying a plurality of transmitters within a signal acquisition range of the roughly estimated location; transmitting probe requests addressed to at least some of the transmitters; and selectively initiating a passive scan at a receiver of the mobile device if a number of responses to the probe requests received from the transmitters is less than a threshold number.

Abstract: The various aspects provide a method for recognizing and preventing malicious behavior on a mobile computing device before it occurs by monitoring and modifying instructions pending in the mobile computing device's hardware pipeline (i.e., queued instructions). In the various aspects, a mobile computing device may preemptively determine whether executing a set of queued instructions will result in a malicious configuration given the mobile computing device's current configuration. When the mobile computing device determines that executing the queued instructions will result in a malicious configuration, the mobile computing device may stop execution of the queued instructions or take other actions to preempt the malicious behavior before the queued instructions are executed.

Abstract: The various aspects include systems and methods for enabling mobile computing devices to recognize when they are at risk of experiencing malicious behavior in the near future given a current configuration. Thus, the various aspects enable mobile computing devices to anticipate malicious behaviors before a malicious behavior begins rather than after the malicious behavior has begun. In the various aspects, a network server may receive behavior vector information from multiple mobile computing devices and apply pattern recognition techniques to the received behavior vector information to identify malicious configurations and pathway configurations that may lead to identified malicious configurations.

Abstract: A method of obtaining and using access point signal information includes: receiving signals at a mobile device from a first set of access points during a passive measurement; and performing a first active measurement at the mobile device for the first set of the access points, including: sending at least one first communication each sent toward a respective one of the access points of the first set; and receiving at least one second communication each corresponding to, and responsive to, one of the at least one first communication and received from a corresponding one of the access points of the first set; where the passive measurement and the first active measurement is each performed repeatedly with the first set of the access points being reestablished at each repeat performance of the passive measurement, and with the passive measurement being performed less often than the first active measurement.

Abstract: Example methods, apparatuses, or articles of manufacture are disclosed herein that may be utilized, in whole or in part, to facilitate or support one or more operations or techniques for improving positioning accuracy of a mobile device with a lower positioning capability, such as, for example, via one or more proximate mobile devices with a higher positioning capability.

Abstract: An apparatus for wireless communications, including a processing system configured to receive requests for a spatial division multiplexed transmission from a plurality of nodes over a multiple access medium; and initiate the spatial division multiplexed transmission based on a metric related to one or more of the nodes, is disclosed. Another apparatus for wireless communications, including a processing system configured to generate data belonging to an access class having contention parameters; and precode at least a portion of the data for transmission over a spatial stream and enter into post backoff following the spatial stream transmission, is also disclosed. Methods for using the apparatuses are also disclosed.

Abstract: Methods, devices and systems for detecting suspicious or performance-degrading mobile device behaviors intelligently, dynamically, and/or adaptively determine computing device behaviors that are to be observed, the number of behaviors that are to be observed, and the level of detail or granularity at which the mobile device behaviors are to be observed. The various aspects efficiently identify suspicious or performance-degrading mobile device behaviors without requiring an excessive amount of processing, memory, or energy resources.

Abstract: Methods and devices for detecting suspicious or performance-degrading mobile device behaviors may include performing behavior monitoring and analysis operations to intelligently, dynamically, and/or adaptively determine the mobile device behaviors that are to be observed, the number of behaviors that are to be observed, and the level of detail or granularity at which the behaviors are to be observed. Such behavior monitoring and analysis operations may be performed continuously (or near continuously) in a mobile device without consuming an excessive amount of processing, memory, or energy resources of the mobile device by identifying hot application programming interfaces (APIs) and hot action patterns that are invoked or used most frequently by software applications of the mobile device and storing information regarding these hot APIs and hot action patterns separately and more efficiently.

Abstract: Apparatuses and methods for adjusting wireless-derived positions of a mobile station using a motion sensor are presented. One method includes estimating a position of a mobile station based upon wireless signal measurements and measuring a movement of the mobile station using a relative motion sensor. The method further includes detecting a displacement of the mobile station based upon the measured movement, determining that the displacement is below a threshold and then adjusting the estimated position of the mobile station using information from the relative motion sensor. An apparatus includes a wireless transceiver, a relative motion sensor, a processor coupled to the wireless transceiver and the relative motion sensor, and a memory coupled to the processor. The memory stores executable instructions and data for causing the processor to execute methods for adjusting wireless-derived positions using a motion sensor.

Abstract: The subject matter disclosed herein relates to utilizing location information, such as maps, in location determination based on Received Signal Strength Indication (RSSI) and Round-Trip Time (RTT) data. Weighting information can be determined from and/or provided in the location information. The weighting information associated with an area in which a mobile device is located can impact how RSSI and RTT data is weighted in a calculation of the mobile device's location.

Abstract: An apparatus for communications including a processing system configured to generate a plurality of spatial streams for communicating with a plurality of nodes, the processing system being further capable of determining an allocation of the spatial streams to each of the nodes based on at least one metric for each of the nodes.

Abstract: Disclosed are methods, apparatus, computer readable media and other implementations, including a method for communicating network information. The method includes transmitting a request message from a mobile device to an access point, and receiving, at the mobile device, a reply message transmitted from the access point in response to receiving the request message, the reply message including data representative of a transmitted signal power level at the access point of the reply message. The method further includes determining, based on the received reply message including the data representative of the transmitted signal power level at the access point, a received signal power level at the mobile device of the reply message, and a round trip time from a first time instance when the request message was transmitted from the mobile device to a second time instance when the reply message was received at the mobile device.

Abstract: Apparatuses and methods for adjusting wireless-derived positions of a mobile station using a motion sensor are presented. One method includes estimating a position of a mobile station based upon wireless signal measurements and measuring a movement of the mobile station using a relative motion sensor. The method further includes detecting a displacement of the mobile station based upon the measured movement, determining that the displacement is below a threshold and then adjusting the estimated position of the mobile station using information from the relative motion sensor. An apparatus includes a wireless transceiver, a relative motion sensor, a processor coupled to the wireless transceiver and the relative motion sensor, and a memory coupled to the processor. The memory stores executable instructions and data for causing the processor to execute methods for adjusting wireless-derived positions using a motion sensor.