Crowdsourced Security Policy Server for Dynamic Network Adaptation
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Implementing and maintaining effective security policies in dynamic and rapidly changing wireless computer network environments is challenging due to the variety of threats, devices, and communication protocols.
Innovation Solution
A system that includes a crowdsourcing security policy server integrated with a threat management system, allowing users to share and rate security policies, providing a user interface for displaying ranked security policies, and suggesting policy templates based on network data, to facilitate the management and application of security rules and protocols across networks.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If traditional security policy implementation methods are used, then security policies can be enforced, but the complexity of managing and maintaining effective security policies in dynamic network environments increases
Solution Approach 1:
The system enables users to automatically contribute security policies through their own network configurations and threat experiences. The crowdsourcing mechanism allows policies to be generated and shared without requiring manual creation by system administrators, reducing the management burden while maintaining policy effectiveness.
Solution Approach 2:
The system incorporates rating mechanisms where users can evaluate and rate security policies based on their effectiveness. This feedback loop allows the system to learn from user experiences and improve policy selection, making the complex policy management process more intelligent and adaptive.
2Reliability
If security policies are manually created and distributed, then policies can be implemented, but the time required for development and distribution increases
Solution Approach 1:
The system uses template-based policy generation where successful security policies are replicated and adapted for different network environments. Users can copy proven policies from the crowdsourced repository rather than creating them from scratch, significantly reducing development time while maintaining effectiveness.
Solution Approach 2:
Security policies are pre-generated and stored in a crowdsourced repository before they are needed. When a user needs security protection, the system retrieves pre-validated policies from the repository rather than creating them in real-time, accelerating the policy implementation process.
3Ease of operation
If a centralized security policy system is implemented, then policy management is simplified, but the adaptability to dynamic and rapidly changing network environments decreases
Solution Approach 1:
The system maintains a dynamic crowdsourced policy repository that continuously updates with new policies and ratings from users across different network environments. This dynamic approach allows the centralized system to adapt to changing network conditions while maintaining the organizational benefits of centralized management through a unified policy interface.
Solution Approach 2:
The crowdsourced policy templates are designed to be universally applicable across different network types and configurations. A single policy template can serve multiple network environments, enhancing both the ease of centralized management and the adaptability to diverse network scenarios.
Data Source
AI summary
Methods, systems, and computer readable media for providing and managing security rules and policies are described. In some implementations, a method may include receiving, at a crowdsourcing security policy server, a security policy from a first user account, and providing a crowdsourced security policy user interface including a section corresponding to the security policy configured to make the security policy available for use by other user accounts. The method may also include receiving from one or more of the other user accounts, a security policy rating corresponding to the security policy, and receiving, from one or more of the other user accounts, a user account rating corresponding to the first user account.