Abstract: Embodiments include a system for providing access to secured data; the system includes a processor configured to perform a method. The method includes receiving physiological data from one or more sensors on a wearable device; obtaining environmental data from the one or more sensors; storing the physiological data and the environmental data from the one or more sensors onto a secured storage device; receiving, by a transceiver, a request to access the physiological data; accessing, by a processor, a security profile for the physiological data, wherein the security profile defines a normal range for the physiological data and defines environmental data compliance; and providing access to the physiological data based upon a determination that the physiological data is outside the normal range for the physiological data and based upon a determination that the environmental data is in compliance with the security profile.

Abstract: Methods, systems and computer program products for creating customized delivery paths for unmanned aerial vehicle deliveries are provided. Aspects include receiving, from a delivery recipient, one or more delivery locations for a delivery of a package and receiving, from the delivery recipient, a flight plan associated with each of the one or more delivery locations, wherein at least one of the flight plans include an authorized path across a private property. Aspects also include receiving, from the delivery recipient, a set of delivery recipient preferences that are used to determine which of the one or more delivery locations should be used to deliver the package and storing, by a processor in a computer readable medium, the set of delivery recipient preferences for use in determining a delivery location for a package to the delivery recipient.

Abstract: According to one exemplary embodiment, a method for an automatic memory cloud is provided. The method may include detecting a trigger event. The method may include activating the automatic memory cloud based on detecting the trigger event. The method may include determining if new data is found on a primary device connected to the activated automatic memory cloud, wherein the new data has a data type and a data size. The method may include selecting a destination device from a plurality of secondary devices connected to the activated automatic memory cloud based on determining that the new data is found on the primary device, whereby the selected destination device has an available storage exceeding the data size and a usage type matches the data type associated with the new data. The method may include sending an instruction to transfer the new data from the primary device to the destination device.

Abstract: According to one exemplary embodiment, a method for an automatic memory cloud is provided. The method may include detecting a trigger event. The method may include activating the automatic memory cloud based on detecting the trigger event. The method may include determining if new data is found on a primary device connected to the activated automatic memory cloud, wherein the new data has a data type and a data size. The method may include selecting a destination device from a plurality of secondary devices connected to the activated automatic memory cloud based on determining that the new data is found on the primary device, whereby the selected destination device has an available storage exceeding the data size and a usage type matches the data type associated with the new data. The method may include sending an instruction to transfer the new data from the primary device to the destination device.

Abstract: A method, computer program product, and computer system for receiving, at a second computing device by a first computing device, an invitation to establish a peer to peer communication channel. The second computing device may accept the invitation. An application may be utilized on the second computing device. Content created by the application on the second computing device may be automatically shared with the first computing device, via the peer to peer communication channel, based upon utilization of the application on the second computing device. Access to the content may be prevented on the second computing device.

Abstract: Methods, systems and computer program products for delivering a package by a drone using a customized delivery path are provided. Aspects include receiving a package for delivery to a delivery recipient and obtaining delivery preferences for the delivery recipient. Aspects also include determining a delivery location for the package based on the delivery preferences and one or more characteristics of the package and obtaining a flight plan for the drone to deliver the package to the delivery location, wherein the flight plan includes a delivery path across a private property.

Abstract: Methods, systems and computer program products for creating customized delivery paths for unmanned aerial vehicle deliveries are provided. Aspects include receiving, from a delivery recipient, one or more delivery locations for a delivery of a package and receiving, from the delivery recipient, a flight plan associated with each of the one or more delivery locations, wherein at least one of the flight plans include an authorized path across a private property. Aspects also include receiving, from the delivery recipient, a set of delivery recipient preferences that are used to determine which of the one or more delivery locations should be used to deliver the package and storing, by a processor in a computer readable medium, the set of delivery recipient preferences for use in determining a delivery location for a package to the delivery recipient.

Abstract: A method, computer program product, and computer system for receiving, at a second computing device by a first computing device, an invitation to establish a peer to peer communication channel. The second computing device may accept the invitation. An application may be utilized on the second computing device. Content created by the application on the second computing device may be automatically shared with the first computing device, via the peer to peer communication channel, based upon utilization of the application on the second computing device. Access to the content may be prevented on the second computing device.

Abstract: A method, computer program product, and computer system for receiving, at a second computing device by a first computing device, an invitation to establish a peer to peer communication channel. The second computing device may accept the invitation. An application may be utilized on the second computing device. Content created by the application on the second computing device may be automatically shared with the first computing device, via the peer to peer communication channel, based upon utilization of the application on the second computing device. Access to the content may be prevented on the second computing device.

Abstract: A method, computer program product, and computer system for receiving, at a second computing device by a first computing device, an invitation to establish a peer to peer communication channel. The second computing device may accept the invitation. An application may be utilized on the second computing device. Content created by the application on the second computing device may be automatically shared with the first computing device, via the peer to peer communication channel, based upon utilization of the application on the second computing device. Access to the content may be prevented on the second computing device.

Abstract: Embodiments include a system for providing access to secured data; the system includes a processor configured to perform a method. The method includes receiving physiological data from one or more sensors on a wearable device; obtaining environmental data from the one or more sensors; storing the physiological data and the environmental data from the one or more sensors onto a secured storage device; receiving, by a transceiver, a request to access the physiological data; accessing, by a processor, a security profile for the physiological data, wherein the security profile defines a normal range for the physiological data and defines environmental data compliance; and providing access to the physiological data based upon a determination that the physiological data is outside the normal range for the physiological data and based upon a determination that the environmental data is in compliance with the security profile.

Abstract: An intelligent thermostat control system for a building, such as a residential home, that automatically adjusts a thermostat setting in the home based on real-time data continually received from mobile devices and/or social media files associated with the residents. This allows the thermostat controller to override the explicit programmed settings with implicit settings based on activity analysis taking the actual locations and schedules of the residents into account. The intelligent thermostat controller may control different zones differently to take into account the schedules and locations of specific residents associated with specific zones. The temperature controller may also adaptively learn a number of parameters based on monitored data, such as travel times and heating/cooling times for the zones based, to determine times for adjusting the thermostats.

Abstract: According to one exemplary embodiment, a method for an automatic memory cloud is provided. The method may include detecting a trigger event. The method may include activating the automatic memory cloud based on detecting the trigger event. The method may include determining if new data is found on a primary device connected to the activated automatic memory cloud, wherein the new data has a data type and a data size. The method may include selecting a destination device from a plurality of secondary devices connected to the activated automatic memory cloud based on determining that the new data is found on the primary device, whereby the selected destination device has an available storage exceeding the data size and a usage type matches the data type associated with the new data. The method may include sending an instruction to transfer the new data from the primary device to the destination device.

Abstract: According to one exemplary embodiment, a method for an automatic memory cloud is provided. The method may include detecting a trigger event. The method may include activating the automatic memory cloud based on detecting the trigger event. The method may include determining if new data is found on a primary device connected to the activated automatic memory cloud, wherein the new data has a data type and a data size. The method may include selecting a destination device from a plurality of secondary devices connected to the activated automatic memory cloud based on determining that the new data is found on the primary device, whereby the selected destination device has an available storage exceeding the data size and a usage type matches the data type associated with the new data. The method may include sending an instruction to transfer the new data from the primary device to the destination device.

Abstract: An intelligent thermostat control system for a building, such as a residential home, that automatically adjusts a thermostat setting in the home based on real-time data continually received from mobile devices and/or social media files associated with the residents. This allows the thermostat controller to override the explicit programmed settings with implicit settings based on activity analysis taking the actual locations and schedules of the residents into account. The intelligent thermostat controller may control different zones differently to take into account the schedules and locations of specific residents associated with specific zones. The temperature controller may also adaptively learn a number of parameters based on monitored data, such as travel times and heating/cooling times for the zones based, to determine times for adjusting the thermostats.

Abstract: A method, computer program product, and computer system for receiving, at a second computing device by a first computing device, an invitation to establish a peer to peer communication channel. The second computing device may accept the invitation. An application may be utilized on the second computing device. Content created by the application on the second computing device may be automatically shared with the first computing device, via the peer to peer communication channel, based upon utilization of the application on the second computing device. Access to the content may be prevented on the second computing device.

Abstract: A method, computer program product, and computer system for receiving, at a second computing device by a first computing device, an invitation to establish a peer to peer communication channel. The second computing device may accept the invitation. An application may be utilized on the second computing device. Content created by the application on the second computing device may be automatically shared with the first computing device, via the peer to peer communication channel, based upon utilization of the application on the second computing device. Access to the content may be prevented on the second computing device.

Abstract: An intelligent thermostat control system for a building, such as a residential home, that automatically adjusts a thermostat setting in the home based on real-time data continually received from mobile devices and/or social media files associated with the residents. This allows the thermostat controller to override the explicit programmed settings with implicit settings based on activity analysis taking the actual locations and schedules of the residents into account. The intelligent thermostat controller may control different zones differently to take into account the schedules and locations of specific residents associated with specific zones. The temperature controller may also adaptively learn a number of parameters based on monitored data, such as travel times and heating/cooling times for the zones based, to determine times for adjusting the thermostats.

Abstract: An intelligent thermostat control system for a building, such as a residential home, that automatically adjusts a thermostat setting in the home based on real-time data continually received from mobile devices and/or social media files associated with the residents. This allows the thermostat controller to override the explicit programmed settings with implicit settings based on activity analysis taking the actual locations and schedules of the residents into account. The intelligent thermostat controller may control different zones differently to take into account the schedules and locations of specific residents associated with specific zones. The temperature controller may also adaptively learn a number of parameters based on monitored data, such as travel times and heating/cooling times for the zones based, to determine times for adjusting the thermostats.

Abstract: An intelligent thermostat control system for a building, such as a residential home, that automatically adjusts a thermostat setting in the home based on real-time data continually received from mobile devices and/or social media files associated with the residents. This allows the thermostat controller to override the explicit programmed settings with implicit settings based on activity analysis taking the actual locations and schedules of the residents into account. The intelligent thermostat controller may control different zones differently to take into account the schedules and locations of specific residents associated with specific zones. The temperature controller may also adaptively learn a number of parameters based on monitored data, such as travel times and heating/cooling times for the zones based, to determine times for adjusting the thermostats.