Dynamic Edge Collectors for Mobile Security Compliance
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current edge computing systems face challenges in dynamically managing compliance and security requirements for mobile edge devices as they move between geographical locations, leading to difficulties in ensuring seamless security and compliance across changing locations.
Innovation Solution
A computer-implemented method and system that dynamically transitions mobile client devices by retrieving locations, identifying edge access, determining mobility patterns, and applying Security Compliance Center (SCC) rules, including intelligent handshaking with cloud SCC for collector updates, rule changes, and resource adjustments based on location mappings and predicted routes.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If collectors and security rules are statically configured for edge devices, then security compliance can be maintained at fixed locations, but mobile edge devices cannot adapt to changing security requirements when moving between geographical locations
Solution Approach 1:
The patent implements dynamic collectors that can automatically update their configuration and behavior based on the mobility status and current location of edge devices. The system transitions from static security rules to dynamic rules that adapt in real-time as devices move between different geographical locations with different security requirements.
Solution Approach 2:
The system employs feedback mechanisms where collectors continuously monitor the location and mobility patterns of edge devices, then use this information to determine when and how to update security rules. The cloud-based security center receives location data and sends updated security configurations back to the appropriate collectors, creating a closed-loop adaptive system.
2Reliability
If security scans are performed continuously for all mobile edge devices, then security compliance is maintained, but unnecessary scans increase resource consumption and system overhead
Solution Approach 1:
The system performs security scans selectively rather than continuously for all devices. It applies partial action by targeting only those mobile edge devices that have actually moved to new geographical locations where security requirements may have changed, avoiding unnecessary scans for devices that remain in the same secure environment.
Solution Approach 2:
The system changes the parameter of scan frequency from a constant value to a variable value that depends on mobility events. When a mobile edge device changes location, the scan frequency increases; when the device remains stationary, the scan frequency decreases or stops, optimizing resource usage while maintaining security.
3Reliability
If security rules are updated in real-time for mobile edge devices, then compliance is maintained across locations, but system complexity and update overhead increase
Solution Approach 1:
The system performs preliminary actions by pre-configuring security rules in the cloud security center before mobile edge devices actually move to new locations. The system predicts or anticipates location changes and prepares security configurations in advance, so that when devices arrive at new locations, the rules are already ready for immediate deployment, reducing update time.
Data Source
AI summary
An approach for dynamically transitioning mobile client devices from one location to another within edge computing is disclosed. The approach includes retrieving locations for near edges and far edges and collecting one or more SCC (security compliance center) rules. The approach includes identifying edge access from one or more client devices and determining mobility pattern associated with the edge access. The approach includes determining edge recommendation based on the mobility patterns and applying the edge recommendation.