Telecom Routing Node Dynamic Security Screening
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Solution Overview
Problem
Telecommunications networks face challenges in securing against attacks due to vulnerabilities in SS7 and Diameter protocols, where attackers masquerade as valid network nodes to obtain subscriber information, and existing solutions like whitelisting are impractical due to the dynamic nature of global communications networks.
Innovation Solution
A method and system for dynamically learning foreign mobility management node information, operating a telecommunications network routing node in learn, test, and active modes to populate a security database with node identities and security statuses, and filtering traffic based on these learned identities and statuses.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If manual whitelisting of foreign network nodes is implemented, then network security against attacks is improved, but the complexity of maintaining the whitelist increases and false discarding of messages occurs due to network dynamics
Solution Approach 1:
The patent implements a dynamic learning mode that automatically discovers and updates foreign network node information in real-time, replacing static manual whitelisting. The system continuously learns about new nodes as they appear in the network, adapting to network changes without requiring manual intervention to update security databases.
Solution Approach 2:
The security system performs self-service by automatically populating the security database with foreign node information through active learning and validation processes. The system autonomously identifies nodes, validates their security status, and maintains the database without external manual provisioning, reducing operational complexity.
2Reliability
If strict whitelist validation is enforced, then security against unknown nodes is improved, but legitimate traffic from new nodes is blocked causing loss of productivity
Solution Approach 1:
The system performs preliminary learning and validation actions before enforcing strict security filtering. By proactively discovering nodes and assessing their security status in advance, the system ensures that legitimate nodes are identified and permitted before they would be blocked by strict validation rules.
Solution Approach 2:
The system implements feedback mechanisms where traffic patterns and node behaviors are continuously monitored and fed back into the learning process. This allows the system to refine its understanding of legitimate versus malicious nodes, improving both security validation accuracy and reducing false positives that would block legitimate traffic.
3Measurement precision
If time-based security checks are implemented, then detection of abnormal location changes is improved, but configuration complexity and potential for erroneous message discarding increase
Solution Approach 1:
The system automatically learns and configures time-based validation parameters through its dynamic observation of network behavior. Instead of requiring manual configuration of acceptable travel times between locations, the system self-adjusts these parameters based on observed legitimate subscriber movement patterns, reducing configuration complexity while maintaining detection accuracy.
Data Source
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AI summary
A method for dynamically learning and using foreign mobility management node information for telecommunications network security screening includes operating a telecommunications network routing node in a learn mode in which traffic from foreign mobility management nodes is received and identities of the foreign mobility management nodes are learned and used to populate a security database maintained by the telecommunications network routing node. The method further includes operating the telecommunications network routing node in a test mode to dynamically learn foreign mobility management node security status and maintaining the security status for the foreign mobility management nodes in the security database. The method further includes operating the telecommunications network routing node in an active mode to filter traffic from the foreign mobility management nodes using the dynamically learned node identities and security statuses.