Abstract: A method of obtaining a virtual SIM for a mobile device comprises sending, to a TTA for authentication, a request for a virtual SIM for a mobile device associated with the TTA. The authenticated request is sent from the mobile device to an NRS application (or to a combined NRS/PCSS application). The mobile device subsequently receives information identifying a PCSS application (or a combined NRS/PCSS application) in a computing environment that provides a virtual SIM for the mobile device.

Abstract: The disclosure provides a method (100) and apparatus for anomaly detection in a network. The method (100) comprises: obtaining (S110) a stream of time-series data related to the network; and dividing (S120) the stream into a number of sub-streams each corresponding to a category of data. The method further comprises, for each of the sub-streams: reconstructing (S130) a plurality of phase spaces; predicting (S140), in each of the plurality of phase spaces, whether a data item in the sub-stream is an anomaly candidate based on a prediction model associated with the phase space; and detecting (S150) the data item as an anomaly when it is predicted as an anomaly candidate in all of the plurality of phase spaces.

Abstract: Method and sensor observation system (200), for reporting observations to data users (204) based on sensor data collected (2:1) from a network of sensors (202). A first observation report that originates from a sensor in the network, is provided (2:4) to a first data user and a rating with respect to quality of the first observation report is received (2:5) from the first data user. Rating information is then created (2:8) based on the received rating, and a second observation report originating from the same sensor and comprising said rating information is provided (2:10) to a second data user. The comprised rating information thus indicates reliability of the second observation report. Thereby, the second data user is enabled to estimate and use the second observation report depending on its reliability as indicated by the rating information.

Abstract: The disclosure provides a method (100) and apparatus for anomaly detection in a network. The method (100) comprises: obtaining (S110) a stream of time-series data related to the network; and dividing (S120) the stream into a number of sub-streams each corresponding to a category of data. The method further comprises, for each of the sub-streams: reconstructing (S130) a plurality of phase spaces; predicting (S140), in each of the plurality of phase spaces, whether a data item in the sub-stream is an anomaly candidate based on a prediction model associated with the phase space; and detecting (S150) the data item as an anomaly when it is predicted as an anomaly candidate in all of the plurality of phase spaces.

Abstract: Methods are provided for filtering, collecting, and analyzing location data for a plurality of devices in a wireless network. Location data for one or more devices is received, for each device the location data includes a unique identifier. Whether the devices belong to the group of devices is determined based on the unique identifier. The location data of devices determined to belong to the group of devices are stored and used in the mobility analysis and the results distributed accordingly. A relevancy analysis may be performed on the stored location data of devices determined to belong to the group of devices in which device information is generated that is associated with devices not belonging to the group of devices. The device information is fed back to determine whether the devices belong to the group of devices based on the unique identifier.

Abstract: Methods are provided for filtering, collecting, and analysing location data for a plurality of devices in a wireless network. Location data for one or more devices is received, for each device the location data includes a unique identifier. Whether the devices belong to the group of devices is determined based on the unique identifier. The location data of devices determined to belong to the group of devices are stored and used in the mobility analysis and the results distributed accordingly. A relevancy analysis may be performed on the stored location data of devices determined to belong to the group of devices in which device information is generated that is associated with devices not belonging to the group of devices. The device information is fed back to determine whether the devices belong to the group of devices based on the unique identifier.

Abstract: A method of obtaining a virtual SIM for a mobile device comprises sending, to a TTA for authentication, a request for a virtual SIM for a mobile device associated with the TTA. The authenticated request is sent from the mobile device to an NRS application (or to a combined NRS/PCSS application). The mobile device subsequently receives information identifying a PCSS application (or a combined NRS/PCSS application) in a computing environment that provides a virtual SIM for the mobile device.

Abstract: Method and sensor observation system (200), for reporting observations to data users (204) based on sensor data collected (2:1) from a network of sensors (202). A first observation report that originates from a sensor in the network, is provided (2:4) to a first data user and a rating with respect to quality of the first observation report is received (2:5) from the first data user. Rating information is then created (2:8) based on the received rating, and a second observation report originating from the same sensor and comprising said rating information is provided (2:10) to a second data user. The comprised rating information thus indicates reliability of the second observation report. Thereby, the second data user is enabled to estimate and use the second observation report depending on its reliability as indicated by the rating information.