Abstract: A system and method for protecting user privacy in multimedia uploaded to Internet sites. Briefly stated, the method includes receiving, by a server hosting an Internet privacy protection service, a media item of a subscriber of the service from a social networking service. The media item is encrypted using Digital Rights Management techniques. Policy determining who can view the media item is generated. The encrypted media item is securely stored in a cloud storage network. Storage information, including a URL of the secure storage location for the encrypted media item, is received by the Internet privacy protection service from the cloud storage network. The Internet privacy protection service generates a proxy image by encoding the URL into the proxy image using a bar code. The Internet privacy protection service uploads the proxy image to the subscriber's social networking service account on the social networking service.

Abstract: Described herein are apparatus, system, and method for protecting electronic devices through the creation of a virtual perimeter among the electronic devices. The virtual perimeter may be generated by the electronic devices themselves. The method performed by an electronic device comprises: identifying a current context; receiving a role, according to the current context, in a hierarchy of multiple electronic devices, and operating in accordance with the role in the hierarchy within a secure perimeter in the current context around the multiple electronic devices, wherein the hierarchy includes a system of security checks based on context information.

Abstract: Methods and systems to determine the proximity of wireless devices to each other. In an embodiment, the proximity may be determined as a membership in a classification, e.g., high, medium, or low proximity of one wireless device to a second. The process for determining proximity may include a training phase, where a set of wireless devices may perform scans to determine the identities and number of wireless access points, such as wireless routers. From this, statistical features may be extracted and used to perform training; the output of this training may be a set of trained models. The trained models may be used in an operational phase. Here, scan data from wireless devices may be submitted to a feature extraction process. The extracted features may then be used to determine the trained model most closely fitting the extracted features.

Abstract: Described herein are apparatus, system, and method for protecting electronic devices through the creation of a virtual perimeter among the electronic devices. The virtual perimeter may be generated by the electronic devices themselves. The method performed by an electronic device comprises: identifying a current context; receiving a role, according to the current context, in a hierarchy of multiple electronic devices, and operating in accordance with the role in the hierarchy within a secure perimeter in the current context around the multiple electronic devices, wherein the hierarchy includes a system of security checks based on context information.

Abstract: Described herein are apparatus, system, and method for protecting electronic devices through the creation of a virtual perimeter among the electronic devices. The virtual perimeter may be generated by the electronic devices themselves. The method performed by an electronic device comprises: identifying a current context; receiving a role, according to the current context, in a hierarchy of multiple electronic devices, and operating in accordance with the role in the hierarchy within a secure perimeter in the current context around the multiple electronic devices, wherein the hierarchy includes a system of security checks based on context information.

Abstract: Methods and systems to determine the proximity of wireless devices to each other. In an embodiment, the proximity may be determined as a membership in a classification, e.g., high, medium, or low proximity of one wireless device to a second. The process for determining proximity may include a training phase, where a set of wireless devices may perform scans to determine the identities and number of wireless access points, such as wireless routers. From this, statistical features may be extracted and used to perform training; the output of this training may be a set of trained models. The trained models may be used in an operational phase. Here, scan data from wireless devices may be submitted to a feature extraction process. The extracted features may then be used to determine the trained model most closely fitting the extracted features.

Abstract: Described herein are apparatus, system, and method for protecting electronic devices through the creation of a virtual perimeter among the electronic devices. The virtual perimeter may be generated by the electronic devices themselves. The method performed by an electronic device comprises: identifying a current context; receiving a role, according to the current context, in a hierarchy of multiple electronic devices, and operating in accordance with the role in the hierarchy within a secure perimeter in the current context around the multiple electronic devices, wherein the hierarchy includes a system of security checks based on context information.