Robotic Call Traffic Management Function for Network Congestion
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Solution Overview
Problem
Robotic calling poses a significant challenge in communication networks, causing congestion and disrupting normal communication services, as it is difficult for network providers and law enforcement to identify and intercept malicious robotic calling activities in real time.
Innovation Solution
The implementation of a Robotic Call Traffic Management Function (RCTMF) within communication networks that monitors call sessions, detects suspicious activity, identifies robotic calls, and enforces anti-robotic calling measures by blocking resources and providing location information to authorities.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If robotic calling activities are allowed in the communication network, then call volume increases and network usage expands, but network congestion occurs and normal communication services are disrupted
Solution Approach 1:
The system performs preliminary analysis of call patterns and identifies suspicious robotic calling activities before they cause significant network congestion. By detecting anomalies in call volume, duration, and timing patterns upfront, the system can take preventive measures to protect network reliability while allowing legitimate high-volume communication to proceed
Solution Approach 2:
The system continuously monitors call sessions and provides real-time feedback by comparing actual call patterns against established baselines. When robotic calling is detected, the system dynamically adjusts network resource allocation and applies selective blocking measures, creating a feedback loop that maintains communication service quality while managing call volume
2Device complexity
If traditional monitoring methods are used to detect malicious calls, then implementation complexity is low, but detection precision is insufficient and robotic calls cannot be identified in real time
Solution Approach 1:
The system introduces an intermediary Robotic Call Traffic Management Function (RCTMF) that acts as a specialized component between the core network and monitoring systems. This intermediary focuses specifically on analyzing call patterns for robotic calling indicators, thereby improving detection precision without requiring complete redesign of the entire monitoring infrastructure
Solution Approach 2:
The monitoring function is segmented into specialized components: call session monitoring, pattern analysis, suspicious activity detection, and enforcement actions. This segmentation allows each component to be optimized for its specific task, improving overall detection accuracy while maintaining manageable system complexity through modular design
3Measurement precision
If all call sessions are analyzed in detail to identify robotic calls, then detection precision improves, but processing time increases and network resources are consumed
Solution Approach 1:
The system applies partial analysis by focusing monitoring resources on call sessions that exhibit suspicious patterns rather than analyzing all calls in equal detail. By using preliminary filtering to identify anomalous call patterns and then applying detailed analysis only to those cases, the system maintains high detection precision while minimizing processing time and resource consumption
Data Source
AI summary
Aspects of the subject disclosure may include, for example, a method including comparing call volume of call sessions associated with a wireless network node of a communication network to a threshold volume to identify a suspicious communication event, identifying robotic calls in the call sessions associated with the suspicious communication event, identifying a mobile communication device associated with the robotic calls, providing, by the processing system, identification information associated with the mobile communication device to a core network function of the communication network and a second wireless network node of the communication network according to a robotic call policy. Other embodiments are disclosed.