Dynamic VPN Protocol Configuration for Data Activity
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Solution Overview
Problem
Existing VPN protocols often do not correlate appropriately to the required security/encryption level for the given data activity, leading to either overuse of secure protocols for non-confidential data or underuse for confidential data, resulting in inefficient use of resources and potential security risks.
Innovation Solution
A system and method that dynamically configure the VPN protocol of a VPN tunnel based on analyzed data activity, using machine learning algorithms to identify the appropriate VPN protocol that matches the required security level for the specific data activity, and automatically apply it to the VPN tunnel.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If a secure VPN protocol is applied to all data activities, then security level is improved, but resource efficiency deteriorates due to overuse of secure protocols for non-confidential data
Solution Approach 1:
The patent applies different VPN protocol security levels to different data activities based on their confidentiality requirements. The system analyzes data activity characteristics and dynamically selects appropriate VPN protocols, ensuring that highly secure protocols are used only when necessary while less resource-intensive protocols are used for non-confidential data, thus resolving the contradiction between security and resource efficiency
Solution Approach 2:
The system dynamically changes VPN protocol parameters based on data activity analysis. By monitoring data characteristics and adjusting the VPN protocol selection in real-time, the system optimizes the balance between security requirements and resource consumption, applying stronger encryption only when the data activity warrants it
2Loss of energy
If a less secure VPN protocol is applied to reduce resource usage, then resource efficiency is improved, but security level deteriorates for confidential data
Solution Approach 1:
The system implements location-specific security by analyzing the characteristics of each data activity and applying appropriate VPN protocol security levels. Confidential data activities receive enhanced security protection while non-confidential activities use lighter protocols, ensuring that resource efficiency is improved without compromising security where needed
Solution Approach 2:
The system continuously monitors data activity characteristics and uses this feedback to dynamically adjust VPN protocol selection. By analyzing data patterns and security requirements in real-time, the system ensures that adequate security measures are maintained for confidential data while optimizing resource usage for less sensitive communications
3Adaptability or versatility
If manual configuration of VPN protocols is used, then adaptability to different security requirements is improved, but operational complexity deteriorates
Solution Approach 1:
The system performs automatic analysis of data activities and self-configures the appropriate VPN protocols without requiring manual intervention. The automated system monitors data characteristics, determines security requirements, and dynamically selects and applies suitable VPN protocols, thereby maintaining high adaptability while eliminating operational complexity associated with manual configuration
Data Source
AI summary
Provided is a computer-implemented method, system, and computer program product for dynamically configuring a virtual private network (VPN) protocol of a VPN tunnel. A processor may analyze data activity associated with a first device, where the first device is connected to a second device using a VPN tunnel. The processor may compare the analyzed data activity to a set of policies for determining a VPN protocol to apply to the VPN tunnel. The processor may identify, based on the comparing, a first VPN protocol from a plurality of VPN protocols. The processor may apply the first VPN protocol to the VPN tunnel.