摘要:
In one embodiment, a security logic of first portable device is configured to receive first motion sample information from at least one motion sensor of the first portable device and second motion sample information from at least one motion sensor of a second portable device, the first and second motion sample information obtained responsive to training movement of the first and second portable devices by a first user. Based on the motion sample information, the security logic is configured to generate a device pairing value, generate a first confidence value based on the first motion sample information and first reference motion sample information stored in the first portable device corresponding to reference movement of the first portable device by the first user, generate a relationship key pair for a relationship, and communicate the first confidence value and a public key of the relationship key pair to the second portable device using the device pairing value. Other embodiments are described and claimed.
摘要:
Methods, apparatus, systems and articles of manufacture are disclosed to identify privacy relevant correlations between data values. An example disclosed apparatus includes a principal monitor to identify a first privacy value associated with a first principal, a tuple manager to build a probability tuple matrix comprising a first tuple and a plurality of second tuples, the first tuple including the first principal and the associated first privacy value, and an Eigenvector engine to evaluate the probability tuple matrix to identify a dominant Eigenvector indicative of a correlation between the first privacy value and one of the plurality of second tuples.
摘要:
The present disclosure is directed to content protection for Data as a Service (DaaS). A device may receive encrypted data from a content provider via DaaS, the encrypted data comprising at least content for presentation on the device. For example, the content provider may utilize a secure multiplex transform (SMT) module in a trusted execution environment (TEE) module to generate encoded data from the content and digital rights management (DRM) data and to generate the encrypted data from the encoded data. The device may also comprise a TEE module including a secure demultiplex transform (SDT) module to decrypt the encoded data from the encrypted data and to decode the content and DRM data from the encoded data. The SMT and SDT modules may interact via a secure communication session to validate security, distribute decryption key(s), etc. In one embodiment, a trust broker may perform TEE module validation and key distribution.
摘要:
The present disclosure is directed to secure vehicular data management with enhanced privacy. A vehicle may comprise at least a vehicular control architecture (VCA) for controlling operation of the vehicle and a device. The VCA may record operational data identifying at least one vehicle operator and vehicular operational data recorded during operation of the vehicle by the at least one vehicle operator. The device may include at least a communication module and a trusted execution environment (TEE) including a privacy enforcement module (PEM). The PEM may receive the operational data from the VCA via the communication module, may generate filtered data by filtering the operational data based on privacy settings and may cause the filtered data to be transmitted via the communication module. The filtered data may be transmitted to at least one data consumer. The privacy settings may be configured in the PEM by the at least one operator.
摘要:
Embodiments of the present disclosure are directed toward publication and/or removal of attributes in a multi-user computing environment. In some embodiments, a consumer information manager (CIM) associated with a user of a multi-user computing system may receive a notification, from a dimension authority (DA), of a decrease in a population count of users of the computing system who have published an attribute within the computing system, and may determine whether the user has published the attribute. In response to receiving the notification of the decrease and determining that the user has published the attribute, the CIM may determine a likelihood that continued publication of the attribute will enable identification of the user, compare the likelihood to a threshold, and, when the likelihood exceeds the threshold, remove the attribute from publication. Other embodiments may be disclosed and/or claimed.