Abstract: A method for providing analysis and detection of malicious software may include directing a comparison of patterns within sample code to a predetermined set of malicious software patterns, determining whether the sample code is likely to be malicious software based on the comparison, and, in response to a determination that the sample code is likely to be malicious software, determining a malicious software cluster with which the sample code is associated based on the patterns within the sample code. A corresponding computer program product and apparatus are also provided.

Abstract: An approach is presented for sharing user information among devices. The identity discovery module determines one or more user identifiers. Further, the identity discovery module determines to generate a first device identifier based, at least in part, on the one or more user identifiers. Then, the identity discovery module determines to present the first device identifier in place of a second identifier as a discoverable identity of a device.

Abstract: An approach is provided for selecting a security policy. A security policy manager determines one or more factors for adjusting a safety score associated with a device. The safety score is based, at least in part, on a context associated with the device. The security policy manager then processes and/or facilitates a processing of the one or more factors and the safety score to calculate an adjusted safety score, and determines to select a security policy based, at least in part, on the adjusted safety score.

Abstract: An approach is presented for sharing user information among devices. The identity discovery module determines one or more user identifiers. Further, the identity discovery module determines to generate a first device identifier based, at least in part, on the one or more user identifiers. Then, the identity discovery module determines to present the first device identifier in place of a second identifier as a discoverable identity of a device.

Abstract: An approach is provided for selecting a security policy. A security policy manager determines, at a device, context information associated with a place. The security policy manager then determines a safety score associated with the place based, at least in part, on the context information and selects a security policy for the device based, at least in part, on the safety score.

Abstract: An approach is provided for determining one or more social networks. A processor may then process and/or facilitate a processing of access information associated with one or more files, wherein access to the one or more files is based, at least in part, on the one or more social networks.

Abstract: The invention relates to receiving data originating from multiple users, identifying data item combinations occurring within said data, determining privacy sensitivity measures to said data item combinations, and communicating privacy sensitivity measure(s) to user(s) concerned. The privacy sensitivity measures can be used to protect user privacy.

Abstract: An approach is provided for selecting a security policy. A security policy manager determines one or more factors for adjusting a safety score associated with a device. The safety score is based, at least in part, on a context associated with the device. The security policy manager then processes and/or facilitates a processing of the one or more factors and the safety score to calculate an adjusted safety score, and determines to select a security policy based, at least in part, on the adjusted safety score.

Abstract: An approach is presented for sharing user information among devices. The identity discovery module determines one or more user identifiers. Further, the identity discovery module determines to generate a first device identifier based, at least in part, on the one or more user identifiers. Then, the identity discovery module determines to present the first device identifier in place of a second identifier as a discoverable identity of a device.

Abstract: An approach is presented for sharing user information among devices. The identity discovery module determines one or more user identifiers. Further, the identity discovery module determines to generate a first device identifier based, at least in part, on the one or more user identifiers. Then, the identity discovery module determines to present the first device identifier in place of a second identifier as a discoverable identity of a device.

Abstract: An approach is provided for selecting a security policy. A security policy manager determines, at a device, context information associated with a place. The security policy manager then determines a safety score associated with the place based, at least in part, on the context information and selects a security policy for the device based, at least in part, on the safety score.

Abstract: A method for providing analysis and detection of malicious software may include directing a comparison of patterns within sample code to a predetermined set of malicious software patterns, determining whether the sample code is likely to be malicious software based on the comparison, and, in response to a determination that the sample code is likely to be malicious software, determining a malicious software cluster with which the sample code is associated based on the patterns within the sample code. A corresponding computer program product and apparatus are also provided.

Abstract: The invention relates to receiving data originating from multiple users, identifying data item combinations occurring within said data, determining privacy sensitivity measures to said data item combinations, and communicating privacy sensitivity measure(s) to user(s) concerned. The privacy sensitivity measures can be used to protect user privacy.