Abstract: The subject matter disclosed herein relates to systems, methods, apparatuses, articles, etc. for mobile device locating in conjunction with localized environments. For certain example implementations, a method may comprise obtaining at a mobile device one or more signals comprising information indicative of a location thereof. The information may be transmitted to one or more servers. A location context identifier (LCI) may be received responsive to the transmitting, with the LCI corresponding to a localized environment at which the mobile device is located. The LCI may be transmitted to the one or more servers. Location-based data may be received responsive to the transmitting of the LCI, with the location-based data being associated with the LCI and pertaining to the localized environment. The location of the mobile device may be determined with respect to the localized environment based, at least in part, on the location-based data. Other example implementations are described herein.

Abstract: Disclosed is a method for position determination, including altering or generating at least one radio heatmap value in a collection of radio heatmap values, the altering or generating based, at least in part, on a measurement of one or more characteristics of wireless signals received by a receiver at a first wireless network access point and transmitted by a transmitter at a second wireless network access point; and transmitting at least a portion of the collection of radio heatmap values including the altered or generated radio heatmap value to a mobile station as positioning assistance information.

Abstract: A method of disambiguating a location of a mobile station within a structure includes: obtaining, at the mobile station, regional pressure indications and corresponding region indications indicating regions within a structure that are vertically displaced with respect to each other, each of the regional pressure indications indicating atmospheric pressure information associated with the corresponding region; determining mobile station pressure information associated with a present location of the mobile station; comparing the mobile station pressure information with the regional pressure indications; and based on the comparing, determining in which of the regions the mobile station presently resides.

Abstract: A displacement device for mapping wireless signal fingerprints includes motion sensors and at least one of a received signal strength indicator (RSSI) sensor and a round trip time (RTT) sensor. The motion sensors may include a pedometer and one or more sensors to receive turn information. The start position of the displacement device is initialized and as the displacement device is moved through an environment, the position of each measurement location is determined using the initialized position and data from the motion sensors. The measurement position along with the RSSI and/or RTT measurement is stored in a database, from which a map can be generated. The position of the access point may be determined using the RSSI measurement or RTT measurement. Additionally, accumulated errors in the measurement position may be monitored and when greater than a threshold, a user may be prompted to reinitialize the position of the displacement device.

Abstract: An embodiment relates to characterizing a signaling environment by gathering a plurality of measurements, generated during a period of time, in response to a determination that a mobile device is within an area of location uncertainty. Such an example mobile device may generate a position fix, e.g., at or subsequent to an end of the period of time, based, at least in part, on one or more signals received at the mobile device within an area of location certainty; and in response to a determination that it is to report a travel history for at least a portion of the area of location uncertainty, generate a travel log based, at least in part, on the plurality of measurements and the position fix, and transmit at least a portion of the travel log to one or more external devices.

Abstract: In one implementation, a method may comprise: obtaining a digital map of an indoor region that identifies boundaries between subsections within the indoor region; and approximating locations of walls separating rooms within at least one of the subsections based, at least in part, on locations of feature labels provided in the digital map.

Abstract: Various methods, apparatuses and/or articles of manufacture are provided which may be implemented to support mobile device positioning through the use of adaptive passive scanning and/or adaptive active probing techniques. For example, a mobile device may acquire signals from wireless transceivers, identify wireless transceivers based, at least in part, on the acquired signal(s), determine a received signal strength measurement for each of the wireless transceivers based, at least in part, on the acquired signal(s), and determine a transmission power of a probe signal to be transmitted to at least one of the wireless transceivers based, at least in part, on at least one of the received signal strength measurements.

Abstract: Various methods, apparatuses and/or articles of manufacture are provided which may be implemented via one or more electronic devices to communicate navigation assistance data for at least one transmitting device that, while operatively provisioned for use in an indoor environment, may prove useful in estimating a position of a mobile device located in an adjacent outdoor environment.

Abstract: Methods, apparatuses and/or articles of manufacture are provided that selectively distribute location based service content for use by mobile devices with regard to certain indoor environment(s). In one example implementation, one or more computing devices generate data files that collectively represent an initial content for use by a mobile device with regard to an indoor environment, wherein at least one of the data files is generated based, at least in part, on one or more distribution schemes relating to the indoor environment. The one or more computing devices selectively initiates transmission of an indication to one or more mobile devices identifying that a shared data file corresponding to a seeded data file may be obtained from a first mobile device. The first mobile device and/or one or more of the other mobile devices may be identified based, at least in part, on the one or more distribution schemes.

Abstract: Various methods, apparatuses and articles of manufacture may be implemented for use in one or more computing platforms to adaptively provide and/or obtain indoor navigation assistance data (INAD) update(s) for use by a mobile device. An INAD update may, for example, comprise a subset of INAD available for an indoor environment. Such a subset may be determined based, at least in part, on a bounded region in an electronic map of the indoor environment. Such a bounded region may, for example, have a shape and/or a size based, at least in part, on at least one parameter indicative of a motion state of the mobile device.

Abstract: Methods and apparatus for merging peer-to-peer overlay networks. A method includes receiving an advertisement from a second overlay network, determining a size of the second overlay network, performing a self search on the second overlay network based on a persistent node identifier, if the size of the second overlay network is greater than the size of a first overlay network, and joining the second overlay network if the persistent node identifier is not part of the second overlay network. An apparatus includes a transceiver to receive an advertisement from a second overlay network, and a processor coupled to the transceiver to determine a size of the second overlay network, perform a self search on the second overlay network based on a persistent node identifier, and join the second overlay network if the persistent node identifier is not part of the second overlay network.

Abstract: Techniques are provided which may be implemented using various methods and/or apparatuses in a mobile device to allow the mobile device to obtain map information associated with at least a portion of an indoor environment comprising a plurality of regions. The mobile device may also obtain additional measurement information associated with at least the portion of the indoor environment, wherein the additional measurement information is based, at least in part, on previously obtained estimated position measurement information associated with a plurality of mobile devices within the indoor environment. The mobile device may determine whether access to at least one of the plurality of regions is either feasible or infeasible to a user associated with the mobile device. The determination may be based, at least in part, on the map information and the additional measurement information.

Abstract: Some aspects relate to developing a personalized location feasibility heatmap, representing motion information related to a particular device/user, and combining that personalized heatmap with general location feasibility information, pertinent to a number of users. The personalized locational feasibility heatmap may be formed using self-sourced motion data, static and dynamic data, such as contacts and appointments, context, and data derived from or available through social networks. Heatmaps may be associated with respective areas; within areas, regions may be defined that are to be considered for self-source data, which have random data, or which are especially relevant to personalized heatmaps. Personalized heatmaps may be shared among users, and used as a basis for further modification. Other aspects, such as using personalized heatmaps relevant to one area to produce a personalized heatmap for a different area are disclosed.

Abstract: Disclosed is a method for position determination, including altering or generating at least one radio heatmap value in a collection of radio heatmap values, the altering or generating based, at least in part, on a measurement of one or more characteristics of wireless signals received by a receiver at a first wireless network access point and transmitted by a transmitter at a second wireless network access point; and transmitting at least a portion of the collection of radio heatmap values including the altered or generated radio heatmap value to a mobile station as positioning assistance information.

Abstract: Disclosed is a method for malicious activity detection in a mobile station of a particular model. In the method, generic malicious behavior patterns are received from a network-based malicious behavior profiling system. Mobile-station-model-specific-behavior-analysis algorithms are generated in the mobile station based on the generic malicious behavior patterns. Mobile station operations may be observed to generate a mobile station activity observation. The mobile station activity observation may be analyzed using the mobile-station-model-specific-behavior-analysis algorithms to generate an activity analysis. Malicious activity may be detected based on the activity analysis.

Abstract: Methods, apparatuses and/or articles of manufacture are provided that selectively distribute location based service content for use by mobile devices with regard to certain indoor environment(s). In one example implementation, one or more computing devices generate data files that collectively represent an initial content for use by a mobile device with regard to an indoor environment, wherein at least one of the data files is generated based, at least in part, on one or more distribution schemes relating to the indoor environment. The one or more computing devices selectively initiates transmission of an indication to one or more mobile devices identifying that a shared data file corresponding to a seeded data file may be obtained from a first mobile device. The first mobile device and/or one or more of the other mobile devices may be identified based, at least in part, on the one or more distribution schemes.

Abstract: Various methods, apparatuses and articles of manufacture are provided which may be implemented in various devices for use in characterizing a signaling environment in an area of location uncertainty within an indoor structure. In an example, a computing device may obtain at least a portion of a travel log indicative measurements gathered by a mobile device within an area of location uncertainty, and a position fix based, at least in part, on one or more signals received at the mobile device within an area of location certainty. The computing device may, for example, determine an estimated trajectory of the mobile device within at least a portion of the area of location uncertainty within an indoor structure, e.g., leading to the position fix, based, at least in part on at least a portion of the plurality of measurements and the position fix.

Abstract: Disclosed is an apparatus and method for a computing device to determine if an application is malware. The computing device may include: a query logger to log the behavior of the application on the computing device to generate a log; a behavior analysis engine to analyze the log from the query logger to generate a behavior vector that characterizes the behavior of the application; and a classifier to classify the behavior vector for the application as benign or malware.

Abstract: Techniques for provided which may be implemented using various methods and/or apparatuses in a mobile device to allow for speech recognition based, at least in part, on context information associated with at least a portion of at least one navigational region, e.g., associated with a location of the mobile device. A speech recognition capability may, for example, be provided with a set of audible samples based, at least in part, on the context information. Such speech recognition capability may be provided by the mobile device and/or by one or more other devices coupled to the mobile device.

Abstract: Apparatuses, methods, systems and computer-readable media for generating a visibility map in determination of a user's location are presented. Some embodiments may identify a point of interest (POI) whose location is predefined on a map. The map may be an overhead map, similar to a map found at a shopping mall or a 3-dimensional map. Embodiments may then determine a plurality of vectors emanating from the POI. The vectors may be representative of lines of sight from the POI on the map. Embodiments may then integrate at least some of the plurality of vectors to calculate an area on the map representative of a visibility map.