Mobile Sensor Data Loss Prevention Policy Enforcement
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Solution Overview
Problem
Conventional data-loss-prevention (DLP) systems inadequately protect sensitive data in environments where authorized users may inadvertently expose it to others, such as crowded spaces, due to reliance on simple authentication and authorization methods.
Innovation Solution
Implementing a system that uses mobile sensors to detect attempts to access sensitive data, collects environmental sensor data, determines the privacy level of the access environment, and restricts access according to predefined DLP policies to minimize data exposure.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If simple authentication and authorization procedures are used, then ease of operation is improved, but data security deteriorates in crowded environments
Solution Approach 1:
The system dynamically adjusts access control policies based on real-time environmental conditions detected by mobile sensors. Privacy levels are not static but change according to the detected environment (e.g., crowded vs. private spaces), allowing the system to maintain security adaptability while preserving user convenience in appropriate contexts
Solution Approach 2:
The system implements continuous feedback loops where sensor data from the mobile device constantly monitors environmental conditions, and this information feeds back to adjust access control decisions. The system evaluates sensor readings, determines privacy levels, and modifies data access permissions in real-time based on the feedback from the environment
2Reliability
If environmental monitoring sensors are added to mobile devices, then data security is improved, but device complexity increases
Solution Approach 1:
The system leverages existing multi-functional mobile device sensors (microphone, camera, GPS, accelerometers) that serve multiple purposes. These sensors are already integrated into modern smartphones for various functions, and the invention repurposes them for environmental privacy monitoring, avoiding additional hardware complexity while enhancing security
Solution Approach 2:
The mobile device itself performs the environmental monitoring and privacy assessment without requiring external dedicated monitoring equipment. The device's own sensors and processing capabilities are utilized to detect environmental conditions and enforce access control policies, making the system self-sufficient and reducing overall system complexity
3Measurement precision
If continuous sensor monitoring is implemented, then privacy level detection accuracy is improved, but energy consumption increases
Solution Approach 1:
Instead of continuous monitoring, the system employs periodic sensor activation triggered by specific events such as data access attempts. Sensors are activated only when needed to evaluate the environmental context of a data access request, then deactivated to conserve energy, thereby maintaining detection accuracy while reducing power consumption
Data Source
AI summary
A computer-implemented method for enforcing data-loss-prevention policies using mobile sensors may include (1) detecting an attempt by a user to access sensitive data on a mobile computing device, (2) collecting, via at least one sensor of the mobile computing device, sensor data that indicates an environment in which the user is attempting to access the sensitive data, (3) determining, based at least in part on the sensor data, a privacy level of the environment, and (4) restricting, based at least in part on the privacy level of the environment, the attempt by the user to access the sensitive data according to a DLP policy. Various other methods, systems, and computer-readable media are also disclosed.