Mcafee, Inc.

Rahul Deshpande

German Lancioni

Celeste R Fralick

Ameya M Sanzgiri

Security risk evaluation across user devices is disclosed herein. An example method includes identifying a user and one or more devices associated with the user, collecting information identifying applications used by the user on the one or more devices, determining respective security sub-scores for each item of the one or more devices, computing an overall security score for the user based, at least in part, on an aggregation of the security sub-scores, and creating a user profile based on the overall security score, the user profile to enable the at least one of the one or more devices to exchange data with an external device when the overall security score meets a security score threshold, the user profile to prevent the at least one of the one or more devices from exchanging data with the external device when the overall security score does not meet the security score threshold.

Security risk evaluation across user devices

Security risk evaluation across user devices is disclosed herein. An example method includes registering one or more devices associated with a first user with the computer system, determining respective security sub-scores for each item of the one or more devices, computing an overall security score for the first user based, at least in part, on an aggregation of the security sub-scores, and creating a user profile based on the overall security score, the user profile to enable the at least one of the one or more devices to exchange data with an external device when the overall security score meets a security score threshold, the user profile to prevent the at least one of the one or more devices from exchanging data with the external device when the overall security score does not meet the security score threshold.

Methods, systems, and media for determining application permissions are provided. In some embodiments, the method comprises: receiving a description of an application to be installed on a user device and a group of permissions required by the application; identifying a subset of words in the description of the application; determining an expected group of permissions based on the subset of words; comparing the group of permissions required by the application and the expected group of permissions; determining a privacy score associated with the application based on the comparison of the group of permissions required by the application and the expected group of permissions; and causing the application to be installed on the user device based on the privacy score associated with the application.

Framework to quantify deviations in app permissions using application description

Device users today are increasingly using multiple smart connected devices simultaneously in order to manage their online lives and increase their productivity. This makes it difficult for users to accurately gauge or feel confident about their overall online security and privacy levels, and it also increases potential attack avenues for malicious actors. Interconnections and relationships between such smart connected devices may also further increase and complicate the security implications of the user's multi-device connected world. The systems and methods disclosed herein provide a single reference point to users that allows them to evaluate the security and privacy aspects of their various online activities and multi-device ecosystem via a single Security and Privacy Score (SPS) value. Statistical Process Control (SPC) techniques may also be applied to a user's SPS values over time to alert users of potentially anomalous security conditions, and suggest potential remedial actions to increase the user's SPS value.

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Santa Clara, CA, United States of America

Rahul Deshpande